What Do You See When You See (Or Think Of) Diabetes?

What do you see when you see (or think of) diabetes?

In my house, I see small piles of low treatments (for hypoglycemia) in every place that I hang out. On my desk next to my computer. In my bedside table. On the counter next to the door where I grab them before heading out for a run or a walk. On the edge of the bathtub in my shower, because low blood sugars happen everywhere.

Sometimes, one of my nephews spots them in a translucent pocket on my shorts. His brain sees candy at first, not a medical treatment. Which is fine – he’s young. He’s learning that for Aunt Dana, they’re not “candy” or a “treat” – they’re a medical treatment.

All of the nieces and nephews have learned or are learning that Aunt Dana has “robot parts”, which is how they see my pump clipped to my pocket or waist band or the hard lump (CGM sensor) they feel or see on my arm.

What I hope people see, though, is that diabetes is not a death sentence. Thanks to improvements in insulin, insulin delivery, and blood glucose measuring, it’s no longer visibly tied to possible complications of diabetes, like amputations, kidney dialysis, or loss of vision. That is what I saw when I was diagnosed with diabetes in 2002, and what was presented to me.

I hope instead that people see people with diabetes like me living our lives, running 82 mile ultramarathons (for those of us who wish to do that), experiencing pregnancy (for those who wish to do that), achieving our career goals, living life in whatever ways we want to live our lives. Just like everyone else.

It’s worth noting that when typing this, autocorrect in my first sentence suggested “treat” instead of “treatment”.

That’s how computers “see” diabetes, too, with sugar and carbs equivalent with diabetes. Despite the fact that medical research shows that diabetes is a complicated combination of genetics, immune system shenanigans (my words), and numerous other factors not in a person’s control, humans haven’t gotten that message. People are still stigmatized and joked about.

So computers learn that. And that’s what they see.

When I was testing Stable Diffusion (an open source AI tool for generating images) recently, I learned about a site “Lexica” that shows you what other people have generated with similar key words. I thought it would be interesting to get ideas for better images to visualize concepts in posts about diabetes, so I searched diabetes.

A screenshot of search results in Lexica for the term "diabetes". Primarily it is images of people portrayed as very overweight and many images of a lot of food.

I should’ve known better. Humans say and think “diabetes” in response to seeing pictures of carbohydrates, so that’s what computers learn.

AI doesn’t know any better because humans haven’t taught themselves any better.

Sadly, “insulin pump” as a key word is disheartening in a different way.

A screenshot of image results from Lexica for the term "insulin pump", which mostly shows a mix of devices that look like blood glucose meters or pulse oximeters.

There are so few existing visuals and images of people with insulin pumps that the visual images generated by AI are a mix of weird hybrid old school computer components and blood glucose monitors or other medical devices.

“Hypoglycemia” mostly generates cartoons in foreign languages or made up languages that I’m guessing are jokes by people without diabetes about having low blood sugar and using it as an excuse for various things. “Hyperglycemia” brings a mix of the hypoglycemia-style cartoons and the diabetes-style images of carbs and how the AI thinks people with diabetes all look.

I’ve noticed this with AI-writing tools, too. AI is good at completing your sentence or writing a few sentences based on well known concepts and topics that already exist today. It’s not yet good at helping you write content about new concepts or building on existing content.

It’s trained on the content of today and the past, which means all of the biases, stereotypes, and stigmatizing content that aren’t good today are also extrapolated into our future with AI.

I don’t have all the answers or solutions (I wish I did), but I want to flag this as a problem. We can’t expect AI to do better trained on what we have and do today, because what we do today (stigmatize, stereotype, and harm people living with chronic diseases) is not ok and not good enough.

We need to change today and train AI with different inputs in order to get different outputs.

That starts with us changing our behavior today. As I wrote a few days ago, please speak up when you see chronic diseases being used as a “joke” and when we see people being stereotyped or when we see racism occurring.

It’s hard, it’s uncomfortable – both to speak up, and to be corrected.

I’ve been corrected before, on verbal patterns and phrases I learned from society that I didn’t realize were harmful and stigmatizing to other people.

I’m working on learning to say “I’m sorry, you’re right, and let me learn from this” and trying to do better in the future, living up to my statement that I’m going to learn from that moment.

It can absolutely be done. It desperately needs to be done, by all of us.

We can course-correct, whether it’s in a one on one conversation, something we see in a small social network in social media, or even in a large room at a conference.

I still remember and appreciate greatly when I flagged that a diabetes joke was made at a conference on stage over four years ago. Upon hearing the joke, I noted that half the room laughed; and that it wasn’t ok. So I spoke up on Twitter, because I was live tweeting from the conference. I didn’t think much would come from it. But it did. Amazingly, it did.

John Wilbanks saw my tweet, realized it wasn’t ok, and instead of tweeting support or agreement (which also would have been great), took an amazing, colossally huge and unexpected step. He literally got up from his seat, went to the microphone, and interrupted the panel that had moved on to other topics. He called out the fact that diabetes was used as a joke a few minutes prior and that it wasn’t ok.

He put on a master class for how to speak up and how to use his power to intervene.

It was incredibly powerful because although the “joke” had gone over most people’s heads and they didn’t think it was a big deal, he brought attention to the fact that it had happened, was hurtful and harmful, and created a moment for reflection for the entire room of hundreds of people.

We need more of this.

When someone flags that they are being stereotyped, stigmatized, being discriminated against – we need to speak up. We need to support them.

It matters not just for today (although it matters incredibly much for today, too) but also for the future.

AI (artificial intelligence) learns from what we teach it, much like our children learn from what we teach and show them. I don’t have kids, but I know what I do and how I behave matters to my nieces and nephews and how they see the future.

We need to understand that AI is learning from what we are doing today, and what we do today matters. It should be enough to want to not be racist, discriminating, stereotyping, and harmful to other people today. But it’s not enough.

The loudest voices are often the ones establishing “normal” for our culture, our children, and the AI systems that may be running much of the world before our children graduate college. We need to speak up to help shape the conversation today, because  what we are doing today is teaching our children, our technology, and is what we’ll get in the future, ten-fold.

And I want the future to look different and be better, for all of us.

What do you see when you think of diabetes? And what are we teaching our children and our technology?

What It Feels Like To Run 100 Miles Or Similar Long Ultramarathons

Sometime in the last year, I decided I wanted to run 100 miles. In part, because I wanted to tackle the complex challenge and problem-solving that is even figuring out how to do it.

My situation as an ultrarunner is slightly atypical: I have type 1 diabetes and need to closely manage insulin levels and glucose levels while running; I have celiac disease so I can only eat 100% gluten free things; and I have exocrine pancreatic insufficiency (EPI) so I need to swallow enzymes with everything that I eat, including when I run. It’s a logistical cornucopia of challenges…which is in part why I wanted to do it. It wouldn’t be half as rewarding if it were easy? Or something like that.

But mainly, I wanted to prove to myself that I can do hard things, even things that most people think I can’t do. No, I can’t produce my own insulin, but I can locomote for 100 miles at one time despite this and the other challenges I have to deal with along the way.

Plus, there’s the “normal” ultrarunning challenges of fueling, hydrating, managing electrolytes, keeping your feet from becoming a ball of blisters, etc.

Ultrarunning is a sport where it generally doesn’t matter how fast you go, and the farther the distance the more of an equalizer it is. I’m a slow runner, and I had trained at an easy slow pace that I planned to run during my race (self-organized). Not having the pressure of time cutoffs would help. I was also curious whether running so slow at the start would possibly help me maintain a more even pace split across the entire run, and whether I could ultimately achieve a reasonable time by keeping consistent slow paces, compared to many I’ve read about who go a bit too fast at the start and end up with wildly different paces at the end. Everyone hurts running an ultra no matter how much you run or walk or both and no matter how fast or slow you go, but I was hoping that more consistent pacing and effort would minimize how terrible everything felt if I could pull that off.

Background

I trained, ran a 50k in June, and resumed training and worked back up to 24 mile long runs and all was going well, until I massively broke a toe and had 6 weeks off. Then I resumed training and re-built back up to running 29 miles, ending around midnight for night-run training. At that point, I had one more long run scheduled (32-ish miles), but decided I would rather skip the last long run and push my 100 mile run up a few weeks to try to beat the impending rainy season that Seattle would eventually get.

The joke was on me. We had 6+ weeks of terrible air quality, which peaked into a two-day stretch of downright “hazardous” (ugh) air quality the two days before my run. Air quality was finally improving overnight before and the morning of my run, thanks in part to the most rain we had gotten in 128 days. Woohoo! So I got to add some wet and cold running challenges to my list of problem-solving that I’d tackle during my run.

Overall, though, my training had gone well, and I had spent enough time planning and prepping that I felt relatively confident. Mostly, confident that no matter how well or long I trained, it was going to hurt. All over. For what felt like forever, and then I still wouldn’t be anywhere near done. And confident that I had planned and prepped to the best of my ability, and that I could figure out how to tackle whatever situations I faced as they came.

How I felt before the race

Aside from having cabin fever from being inside (AQI was too hazardous to go out even with a mask), I felt fairly good in terms of running fitness. I had been tapering, my legs felt fresh, I was fueling and hydrating and everything felt fine. Unfortunately, though, while I managed to escape many taper niggles, I experienced a round of ovulation pain that I don’t get every month but was lucky enough to get this month, for the 3 days prior to my race. (I’m not sure why, but in the last few years after never experiencing ovulation pain, I have started to get ovulation pain similar to period pain and cramps and general icky feelings. My doctor isn’t concerned about it, but it’s unfun, and in this case poorly timed.) So I was a bit grumpy about going into my race in a less-than-perfect state, even though “perfect” state is an ideal and usually there is something wrong, whether it’s a taper niggle or something else.

The thing I was most pleased about was my feet. My broken toe had healed well and hadn’t been giving me any issues. However, after I broke my toe it changed my foot strike or how my feet move in my shoes in a way that caused epic blisters and then I kept getting blisters on top of blisters for several runs. I finally figured out that I needed to try something different, stopped causing new blisters, and the existing blisters healed, peeled off, and went away. So my feet were in great shape, and despite being nervous about the effect of the rain on my feet during my 100 miles, I at least was starting from a “clean slate” with healthy, non-blistered feet.

The start

I set my alarm and woke up and checked air quality. The winds and the start of the rain had blown it absolutely clear, so I was able to head out without a mask for the first time in weeks! (Last time I ran with it for all 8 hours of my long run, which is annoying when you need to fuel every 30 min.)

I wasn’t even a mile in when I had my first problem. I started with a long sleeve shirt and my rain jacket, knowing I’d warm up and want to take it off soon after I started. As I removed my arms from my rain jacket (keeping it zipped around my waist) and shuffled my arms in and out of my running vest, I suddenly felt water hit my feet and looked down. Water was gushing out of my hydration hose! I grabbed it and stuck my finger over the end: the bite valve had flown off somehow while I was getting out of my jacket. Ugh.

Luckily, though, this is where all of my planning and reading of others’ experiences had come in handy. While this had never happened to me, I had read in someone’s blog that this had happened and it took them 20 minutes to find the valve. I had a bright waistlamp and it was getting increasingly lighter outside as the sun rose, so I hoped mine would be easier to spot. I figured it was stuck in my rain jacket sleeve so I worked to check my sleeve and vest for the valve. No go. I looked around and didn’t see it. I turned and walked back a bit, looking for it on and off the trail. No luck. I finally pulled out my phone and called Scott, while still holding my finger over the hydration hose to keep it from leaking out 3 liters of water. While I talked to him and told him I probably needed him to get dressed and bike out a replacement valved to me, I turned around and walked forward again one more time. Aha! Found it. It had flown way to the left side of the trail. I replaced it and breathed a sigh of relief. It had added only 4 minutes to my first mile time.

Well, I thought: that’s one way to keep my early paces slow! I hung up with Scott, and carried on.

The first lap I was very focused on making sure my socks and shoes were in good shape. I am pretty good at gutting it out if I have blisters or foot issues, but that’s not a good strategy when you’re going to cover 99 more miles. So 6 miles into my first lap, I stopped at a bench, took my socks off, and re-lubricated my feet. Later on the way back (this first lap was an out-and-back), I stopped at mile 16 and similarly sat on a rock to re-lubricate and add lamb’s wool to reduce rubbing on the side of my foot.

A picture of Dana Lewis running down the rainy paved trail, with resupply gear (dry shoes, water, fuel) in the foreground of the picture. She's wearing shorts, a rain jacket, and a rain hat. She is smiling and around 12 miles into her eventual 82 mile run).

Yet overall, lap 1 went well. It started raining after about 20 minutes so I ran with my rain hat and rain jacket on (I put it on after my bite valve escapades at mile 1), and intermittently put my hood over my hat and took it off when the rain picked up or lessened, respectively. But it pretty much rained the whole time. Scott met me as planned after my turnaround spot (about 12 miles in) and refilled my hydration pack and I re-packed my vest with snacks, enzymes, and electrolytes and carried on.

At the end of lap 1 (almost 24 miles), I physically felt pretty decent. I had been working to focus on the lap I was in and what I needed to do for the next lap. Nothing else. No thoughts of how many miles I would run or hours it would take. My watch had stopped itself in the rain and canceled the run (argh), so I wasn’t going to have a running total of time throughout the entire run like I wanted. But this might have been a feature, as it kept me from using my watch for that and I set a new lap/run each time I headed out so I could keep an eye on the segment pace, even though I had no idea what the overall pace time really was.

A paved trail picture taken from on the trail. Trees and a river are to the left; more trees line the trail to the right. It is very cloudy, the trail is visibly wet.I went slow the first lap (part of why I was feeling so strong), and I took my time in between laps. I pulled off my socks and shoes. I used hand sanitizer on them to draw some of the water out, then re-lubricated and added Desitin (to continue to help draw water out of my feet and aid in preventing blisters). Then I put on a fresh pair of toe socks and added more lamb’s wool in between key toes that typically are blister-prone. At this stage I had no blisters, and other than wet soggy feet was in good shape! Sitting for 10 minutes for my sock and foot care change chilled me, though, and I was happy to start moving again and warm back up.

The middle

I headed out on lap 2, which similarly went well. This was my “triangle” shaped loop/lap. The only issue I had this lap was that it was the only section of my route where the trail crossed 3 small intersections. Two had lights but one did not. At the intersection without a light, there were no cars so I continued running across the pedestrian crossing. As I stepped out I saw a car whipping around the corner with their head turned looking for cars in the opposite direction. Not sure if they would turn in time to see me, I slammed on my physical brakes. They did turn and see me and stopped in plenty of time, so I continued across the crossing and on the trail. However, that had tweaked my right ankle and it felt sore and weak. Argh. It felt better after a few more minutes, but it intermittently (once every hour or so) would feel weak and sore throughout the rest of my run as a result.

After lap 2, I again sat to remove my socks and shoes, dry my feet, put hand sanitizer on them, re-lubricate, etc. My feet were definitely wet and wrinkly, so I added even more Desitin to my feet. It wasn’t raining super hard but it was a constant hard drizzle that was soaking through to my socks and feet even though there weren’t many puddles (yet). This time, though, I used some reusable hot packs while I sat to change shoes, so I wasn’t as chilled when I left.

Lap 3 (back to an out-and-back route) also went well, and I was starting to realize that I was in surprisingly good physical shape. My feet were intermittently a little bit sore from pounding the ground for hours, but they weren’t constantly annoying like I’ve had on some training runs. I had long surpassed my longest running distance (previously 32 miles; at the end of lap 3 I would reach 52 miles) and longest ever running time. I did develop one or two small blisters, but they didn’t bother me. Usually, I build up huge blisters and they’re a constant annoyance. During my race, maybe thanks to the Desitin etc, I only noticed the blisters (which were fairly tiny) when they popped themselves. I had one on each foot pop and sting for a minute and then not bother me again, which was pleasant! Lap 3 was also when it got dark, so I’d headed out with my double waist lamp. I have two sets of two waist lamps that we strapped to each other; I turn one on and run it out (somewhere around ~3 hours) and then turn the belt around and turn the other lamp on. This lasts me the longest laps I have, even if I was going at walking speed. It’s plenty of light for the paved trail even on the darkest nights, but because it was raining it was cloudy and the city’s light pollution reflected off the clouds so that trail itself was easy to see! So while I only saw a few stars at the end of the night in between patches of cloud, for most of the night the night-running aspects were pretty easy. Dana sits on a bench at a picnic table in a public park. It is dark. She is wearing long rain pants, a rain jacket, and a rain hat and is bent over her bare feet, applying lubrication. It is dark and nighttime, so she has an extra waistlamp on the table illuminating her feet. Other ultrarunning supplies are strewn across the table.

Interestingly regarding my feet, after lap 3 they were still white and wrinkly a bit, but they were definitely drying out. They were much drier than they had been after lap 2, so the combination of hand sanitizer and Desitin was working. I was pleased, and again slathered with more lubricant and Desitin before putting on fresh socks and heading back out for lap 4, which would be a repeat of my “triangle” lap.

Physically, I was mostly ok. My feet weren’t hurting. I had expected my IT bands to get tight and bother my right knee and for my hips and back to start getting sore: my left knee did intermittently hurt some, but it was like a 3/10 annoyance and came and went. Stretching my hip flexors didn’t change the tightness of my IT band, but it was also the least amount of knee pain I’ve ever had when things got tight, so it was very manageable and I didn’t stress about it. It was hard to believe that with the completion of this lap (lap 4) that I’d have finished a 100k (62 miles) and added a few miles to it!

It seemed like the triangle loop wanted to keep things interesting, though. On Lap 4, after I had turned off into the section that has the intersections and the “triangle” part of the loop, my hydration hose made a gurgling noise. I felt the back of my hydration pack, which was rock solid with ice…but no water left. Oops, I thought. I was at mile 6 out of 13. If I kept going forward on my route, it would take me an estimated 4+ miles to get back to the next water fountain. Or I could call and wake up Scott, who had just fallen asleep for his first 2 hour nap overnight (it was around 1am by now), to bring me water, but that would take him 20-30 minutes before reaching me.

It mattered that I didn’t have water. Not just in terms of thirst and hydration, but I also needed water to be able to swallow my electrolyte pills (every 45 minutes) and my fuel (every 30 minutes when I ate a snack) and the digestive enzymes I absolutely require to digest my food since I have EPI. I definitely needed water so that my hydration, fueling, electrolytes, etc. wouldn’t suffer.

I could go back, but I hated to backtrack. It would be a mile back to the previous water fountain, although I wasn’t even sure it would be turned on and working. Mentally, though, I groaned at the thought of “turning around” and finishing the loop in reverse and trying to figure out how many miles I would cut off that loop and how many I’d have to added to my very last loop to make up for it.

Luckily, I realized a better idea. Because I was on the section of the triangle running alongside a road (hence the annoying intersection crossings), the intersections are where the road turned off into various parking lots. Across the road at one of the two intersections with lights was a gas station! I could see it glowing from a quarter of a mile away. I crossed my fingers hoping it would still be open, because I could go inside and buy a bottle of water to hold me over. It was open! I crossed the intersection and went in, grabbed a liter of water, bought it, went outside, and refilled my hydration bladder under the bright lights of the gas station.

A 1-liter wattle bottle held in a hand covered with a blue nitrile gloves.
I’m wearing nitrile gloves to help keep my hands drier and warmer given the cold, endless rain.

I was pretty proud of that solution, especially because it was ~1am and I had been running for 17 hours and was able to troubleshoot and solve that problem on the fly! Without sending it, I also drafted a text to send to Scott near the end of that loop when he’d be awake, to list out which foods and gear I wanted at the next refuel, and to specify what happened and how I solved it and request that I get more water and less ice for the next loop.

(Running out of water was on my list of things I planned for in all of my preparation, so while I had low expectations of my mental capacity as the miles piled up, that likely helped because I had mentally listed out where all the available water fountains were, so I could run my loop mentally forward and backward to figure out where the closest one was. In this case it was a mile behind me; going forward it would have been 4+ miles or more than an hour away. The gas station ended up being 15 minutes from where I realized I was out of water).

Finishing lap 4 was exciting, because I only had 3 laps left to go! I had one more out and back loop, and my father-in-law was driving down in the wee hours of the morning to run part of it with me to keep me company. We hadn’t planned on that all along, but he and Scott had been texting and working it out, so Scott just told me that was the plan and I was thrilled. I was a little bit tired overall, but more energetic than I thought.

The sock change before lap 5 was disappointing, though. After lap 3, my feet had been drying out a little bit. Now after lap 4 they were wet and soft again, like they were after lap 2. The rain had been more constant. I took the time (15-20 min) I needed to dry and treat them with hand sanitizer, lubricant, Desitin, replace fresh toe socks and lambs wool and dry shoes. They weren’t hurting, so I was hoping the light rain would taper off and my feet would dry out again.

The (beginning of the) end

I headed out on to lap 5, buoyed by the thought that I only had ~4 miles ‘til I had company. The rain picked up again (argh) and as my father-in-law met me on the trail with his headlamp and rain gear, he asked if it had been raining this much the whole time. No, I said, and pointed out that it had only been raining hard in 10-20 minute chunks and this one had been going since before I met him so it should lighten up soon. He commented on how energetic and chatty I was. “You’re pretty chatty,” he said, “for 5am!” (I am well-known in both our families for NOT being a morning person). I joked about how impressive it was for me being this chatty not only at 5am but also for it being 22 hours into my run!

Unfortunately, 3 miles into the section he ran with me, it went from annoying hard drizzle to an epic mega downpour. My shoes went from damp from constant hard drizzle to super soaked from top all the way down to the insoles squishing with every step. I was frustrated, because this much rain was also making it hard to use my phone. My phone had an alarm going off every 30 minutes to remind me to fuel; I needed to pull out my phone each time and turn off the very loud alarm (it was effective!) and then open up my spreadsheet and enter what I ate and what electrolytes I took. Then I also had to pull the baggie out of my vest pocket, select out the number of enzyme pills I needed with wet and cold gloved fingers, re-seal the baggie and put it back in my vest, and get out the fuel from the other pocket of my vest and eat it. Even tired, I was managing to fuel successfully and stay on top of my schedule. I was increasingly proud of this.

But the rain and the inability to use my phone when I wanted to was starting to irritate me, in part likely because I was trying not to stress about what the volume of water was doing to my feet. They weren’t actively hurting, but I knew this much water for this long of time could be dangerous and I needed to be careful. It was still downpouring when we reached the turnaround and headed back to his car. I dropped him off at his car and carried on. I was tired, soaked, cold, but physically in great shape otherwise in terms of legs, knees, hips, back etc all holding up and not feeling like i had run ~78+ miles at that point!

I had just eaten another snack and went to press buttons on my pump to give myself some insulin for the snack. It didn’t seem to work. I have a vibration pattern so I can use the pump without seeing it; but the “enter” button was not working. I had been concerned about the volume of water my pump was going to be exposed to and mentally prepared for that, but it was SO disheartening to suddenly feel the pattern of 6+ vibrations followed by an audio beep indicating an error state had been reached on the pump. I cursed to myself, out in the rain after 24 hours of running, knowing what I would find when I pulled my pump out from under my jacket. Sure enough, “button error”, because water had gotten under the buttons and to protect itself, the pump went into a “I won’t do anything” state. That meant that the insulin I needed for my latest snack wasn’t going to happen and any future insulin wasn’t going to happen.

I pulled out my phone and started a text to Scott, explaining that I had a button error and needed him to pull out my backup pump. I told him where it was, told him to put in a new battery and program it with the basal rate that I wanted. I then sent a text saying it was raining a lot and it would be easier if he called me if he needed to talk, because it was so hard to use my phone in the rain. He read the text so I knew he was awake, so I called him and talked to him while I trudged on and he was getting dressed and packing up my replacement pump and the gear I needed for lap 6. Then we hung up and I carried on, grumbling along the way and starting to feel the physical effects of not having enough insulin for the past hour or so.

A picture of a glucose graph from a CGM. The dots are flat in the first hour of the screenshot, then slowly and almost exactly lineary head up and to the right.

My blood glucose levels were rising, but I wasn’t worried about that. I knew once I had replacement insulin my blood sugars would come down nicely. I had prepared for this; there was a “high BG” baggie with supplies ready to go! But the combination of the 25+ hours of rain, the extra hard rain and cold temps from the last several hours, my feet starting to be bothered from the wet soaking, and then on top of it all the chemical feeling of not having insulin going in my body: it was a lot. I really focused on the physical state I was in, evaluating what I wanted to do. I knew that I could fix the cold state (switch to dry clothes; use hot packs) and my blood sugars (new replacement pump, take some inhalable insulin for a faster fix while the new pump insulin would be kicking in within an hour and fixed from there). But my feet were starting to bother me in a way that I wasn’t sure could be fixed with a 20 minute sock change.

Scott biked up to me right as I passed my favorite trail bathroom, the stalwart of my ultra, and had me turn around and head in there to be out of the rain. It was clean, big, had toilet paper, and was well lit and had the door open (wasn’t locked) all night long. I stepped inside the bathroom while Scott parked his bike by the building and whipped out the baggie with the replacement pump. I checked that no one else was in the women’s bathroom and he stepped inside, and impressively (to me) pulled out the baggie that held a garbage bag. I had packed it so I could more easily change clothes in public bathrooms by standing on it and placing my clothes on it so they wouldn’t be on the ground. He instead laid the garbage bag on top of the garbage can lid and set out my dry clothes, helped me out of my wet soaked rain jacket, hat, and shirts, and handed me my dry shirts followed by some hot packs. He gave me a giant one and told me to stuff it down my shirt, which I did. I took some inhalable insulin (which hits in about 15 minutes), then held the smaller hot packs in my hands while he was pulling out the bag with my replacement pump. I rewound and primed the pump with my existing reservoir and tubing, then reconnected it to my pump site and primed it. That problem (lack of insulin) was now solved, and I knew that my blood glucose would come back down to target over the next hour.

Next up, I could walk/run (or walk) the remaining 1.5 miles back to my normal turn around point, which was a table under a park awning that was relatively dry. I knew that I needed to be warmer and stay dry, and although I had dry clothes on now, I wasn’t sure that sitting outside even with hot packs while I tried to address my feet would warm me up. I told Scott that I wanted to go back to the house (thinking I’d walk the ~1.5 miles to the house). Then I could dry out my feet, get warm, and go back out if I wanted to continue. But I had a hunch I didn’t want to continue. My feet were feeling like they were getting to be in a not-good state from the level of water they had retained after 25 hours, despite all the excellent foot care.

I thought about it and realized that I was satisfied with running 82 miles. I was in otherwise decent physical shape and energy, I had been nailing my electrolytes and fueling and blood sugars the entire run. I had successfully run overnight; more than 24 hours; and by far (2.6x) the longest distance I had ever run. I could keep running to 100 miles (about 18 more miles), but no one cared if I did. I didn’t have to prove anything to anyone, including myself. I had planned, strategized, and executed above and beyond what I had thought was possible, both in terms of physical and mental performance. I had no major injuries, and I wanted to keep it that way. I knew I had the willpower and persistence to keep going; I was stubborn enough to do it; but as the last bit of icing on top of my ultramarathon cake, I wanted to have the mental strength to decide to stop where I was so I wouldn’t create a long-lasting injury in the last 18 miles from sheer stubbornness.

So I stopped. I told Scott I would decide for sure after I got home and dried off and warmed up, but that I was pretty sure this would be a stop and not just a pause. Rather than let me walk home in the rain, he insisted I stay in the warm dry bathroom while he biked home and got the car and brought it to the nearest trail entrance, which was about a quarter of a mile away (more good planning on my part!). Once he had gotten in the car and called me, I slowly walked out to meet him at the parking lot, reaching it right as he pulled in. The walk on my feet confirmed to me that they were done. They weren’t exceptionally blistered or injured, but I knew the cumulative water effect and soggy skin would likely lead to some damage if I continued on them. We headed home. I sat down and took off my socks and shoes and sure enough, my feet were wet, white, and very wrinkly and starting to crease. I took a hot shower then dried off, put hand sanitizer on my feet to help dry them out, and laid down with them sticking out of the covers to help them air out. Within a few hours, they had dried out, and showed me some blisters on the bottom of my right foot that were not really bad, but if I had kept going on them, the wet wrinkly tissue would’ve been very prone to more extreme damage. I reflected on the choice to stop and was still happy with my decision.

The 24 hours after I ran 82 miles

After my shower and laying down, I realized that I was (still) in great physical shape. Some parts of me were starting to stiffen up now that I had stopped, but they hadn’t bothered me at all during running. That was my hips that now hurt if I tried to lay on my side but not on my front or my back; and my thighs felt sore when I straightened and bent my legs. I had never even been tempted during my run to take pain meds because I was never overly sore and didn’t have any injuries.

(Note: you shouldn’t take NSAIDs during extreme events due to the risks of overworked kidneys having problems. I had packed Tylenol, which is acetaminophen, in case I needed it for pain management, but specifically did not pack any oral NSAIDs and warned Scott about offering me any. I did pack topical NSAID *gel* which is an extremely low quantity of NSAID compared to even one oral NSAID pill, and I used that once on my shoulder blades during the run. After my run, I waited several hours and made sure my kidneys were fine via hydration before I took any NSAID.)

It is very surprising to me that despite my longest training runs being almost a third of the distance I did, that I ended up in better physical shape at the end than I did during some training runs! This is probably in part due to going even slower (as planned) during my ultra, but I was really pleased. It might have also been due to the fact that I mentally trained for it to hurt really bad and to continue anyway. Again, lots of mental training and prep.

I ended up napping 2 hours after I got home and showered, and then was awake a few more hours and took another one hour nap. I ate several small meals throughout the day and stayed in bed to rest and not stress my feet further, then went to sleep at a normal bedtime and managed to sleep 9.5 hours through the night. Woohoo! I really wasn’t expecting that. I did wake up many times and find myself bending and flexing my knees or my ankles to help me roll over and could feel them being sore, but it wasn’t painful enough to fully wake me up or keep me from falling back to asleep within seconds, so it felt like a fully rested un-broken night of sleep.

The bottoms of my feet felt weird as they dried out, but progressively felt better and felt close to normal (normal meaning as normal as you are with a routine blister on the bottom of your forefoot) by the time I woke up the next morning (24 hours after ending my run). Everything that stiffened up in the first few hours after I stop has been gradually loosening up, so other than my forefeet still being sensitive with blisters, I’m walking around normally again.

The good, the bad, the ugly, and what I wish I had done differently

I had prepared for so much to go wrong, both those things in my control and things out of my control. And I think that’s why it actually didn’t hurt as much or go as wrong as it could have, despite all the variables in play. I nailed my pacing plan, energy levels, hydration levels, fueling intake, electrolyte intake, and enzyme intake.

I had estimated that I would need to take up to ~160 enzymes to cover my fueling. Remember that I stopped at ~25 hours (82 miles) instead of ~32 hours (100 miles) so I took less than that, but still a lot.

I consumed 50 (fifty!!!) snacks, one every 30 minutes, and swallowed multiple enzyme pills each time. I consumed at least 98 enzyme pills (!!!) in this 25 hour time period. I was concerned that my body wouldn’t be able to digest the pills or have some other issue with them, because I have never taken anywhere near this number of pills in a single day. But, it worked, and flawlessly: I had ZERO EPI-related issues and ZERO other gastrointestinal (GI) symptoms. GI symptoms are super common in ultras, even for people without things like EPI, so I’m incredibly thrilled with how well my planning and practicing paid off so I could execute my fueling plan and not have any issues.

My goal had been to take in ~250 calories per hour and ~500 mg of sodium per hour (from both the snacks every 30 min and electrolyte pills every 45 min). I use calories as my rolling metric because while most ultrarunners prioritize carbs, I’m running slower and likely more fat adapted than most people, and also need digestive enzymes no matter what I’m eating so taking small amounts of fat and protein are fine for me. Plus it makes for more interesting running snacks. So using calories as the global running metric of consumption rather than just carbs or fat etc. works for me. I nailed it, and across all 25 hours of my run I averaged 671 mg of sodium per hour and 279 calories per hour. I did have one hour where I somehow dropped low on sodium and felt it, and took an extra electrolyte pill to help catch up. It fixed the “low on sodium” feeling and I didn’t have any issues again. I had slightly more variability toward the end of the run, but that’s just due to the timing of when I logged it into my spreadsheet (due to the wet-phone issues I described earlier) and the auto-calculation on which hour it falls into; overall I still was maintaining the goal levels every hour.

A graph of calorie consumption, sodium consumption, and carb consumption per hour for all 25 hours of the 82 mile run.

(The purple dotted line is carbs, because I was curious about how that level fluctuated given that I didn’t prioritize my run snacks based on carbs at all. I generally seek <20 grams of carbs per snack but have a few that are closer to 30 grams; otherwise <10 or so grams of fat and however many grams of protein I don’t care).

How do I have all this data? I used my macronutrient spreadsheet as I went, selecting the snack I was going to eat from the drop-down list that then pre-populated the rest of the data in the sheet and updated a pivot table that summarized my rolling totals per hour. It was getting increasingly hard to use my phone in the mega downpour rain in the last few hours, which is why the timing of logging them was a little variable and the numbers look a little more bouncy each hour toward the end, but my consumption was still on time thanks to my every 30 minute phone alarms and so the logging was the only thing that varied and I was still above-goal overall although trending downward slightly.

This spreadsheet means I can also summarize my total consumption across 25 hours: I consumed an eye-popping 817 grams of carbs; 365 grams of fat; 136 grams of protein; 16,775 mg of sodium; and 6,979 total calories. That matched the 98+ enzyme pills (and 33 electrolyte pills, which are 210 mg of sodium each and reflected in the overall sodium counts), so I also swallowed >131 pills in the 25 hour time period running. Wow.

It’s common to end up in a calorie deficit due to the hours and miles that an ultra demand of your body, but my watch estimates I burned around 8,000+ calories (maybe an undercount since it stopped itself a few times), so I didn’t have as big of a deficit as I had originally predicted.

There were so many (50!) opportunities to mess up my digestion, and I didn’t mess up once. I’m really proud of that! I also had such a variety of snack types and textures that even though I was never really hungry, I ate my snacks like clock work and didn’t get major palate fatigue or get to the point that I wanted to stop chewing and needed to switch to my backup list of liquid fuel. The only time I slightly felt off was when I did a Snickers for one snack at the end of my lap and then my next snack was hot mashed potatoes – combined, that was 390 calories (one of my top two hours of calorie consumption) and felt like a little too much food, either because of the calories or the volume of mashed potatoes. It was only a minor annoyance, though, and the feeling passed within another 15 minutes and I didn’t have issues with any other combination of snacks. I did get tired of peanut butter pretzel nuggets, because they’re drier than many of my other snacks and took a lot of water to swallow. So I stopped choosing those in lieu of my other snacks and left those as emergency backups.

Looking back, I wish I could have done something differently about my feet, but I don’t think there’s anything else I could have done. I changed socks and into dry shoes at every single lap. I dried them and tried to draw out water with hand sanitizer and Desitin. I lubricated with Squirrel Nut Butter and Desitin, and overall came out with very few blisters compared to my typical shorter long runs (e.g. 25-30 miles). But we did get 0.72 inches of rain in that 24 hour period, and a lot of it was dumped onto my feet in the 4-7am time period. If I’d had a way of knowing 24 hours in advance exactly when the rain was going to let up with enough confidence to delay the run for a day, it turns out it would’ve been drier, but the forecast before I started running was for similar chances of rain all weekend. The laws of feet physics and the timing was just not good, and that was out of my control. I’ll keep researching other strategies for wet feet management, but I think I had done everything I could, did it well, and it just was what it was.

Overall, I can’t think of anything else I would have changed (other than my training, it would have been swell not to have broken my toe and been not weight bearing for 6 weeks!). Fueling, electrolytes, enzymes, blood sugars, pacing, mental game: flawless. I was even picking up the pace and still running and walking 30:90 second intervals, and I think I would have continued to pick up the pace and pushed it to the finish, estimating that I would have come in under 32 hours overall for 100 miles (around a 19 min/mi average pace overall, or a bit under that).

But I chose to stop at 82 miles, and being willing to do that was a huge mental PR, too.

So I’m pleased, proud, and thrilled to have run an 82 mile ultramarathon, and physically and mentally feel better than I would have predicted would be possible after 24 hours.

What it feels like to run (almost) a 100 mile ultramarathon, by Dana M. Lewis on DIYPS.org

How To Prepare Or Plan For A 100 Mile Ultramarathon (Or Similarly Long Ultra Run)

As I prepared for months for my first-ever 100 mile run, I did a lot of research to figure out how I should be prepared. There’s no one way to “prepare” for an ultramarathon of any distance, and much of the stuff online is about your training plan and physical preparations. Which is definitely important, but not the only thing that needs preparation.

After a lot of reading, thinking about my own plans and preparation, I’ve realized there are 4 general types of preparation for an ultramarathon that I’ve been doing: mental preparation and training; nutrition preparation and training; race day strategy preparation; and the actual physical training and running to prepare for an ultramarathon.

Usually, blog posts either cover the last category (training plans and physical training philosophies) or one of the other categories. This blog post summarizes everything I’ve done in all of these categories together in one place – in part to help me if I ever run another ultra following my first 100 mile attempt!

Almost everything I thought about and planned for a 100 mile ultramarathon, by Dana M. Lewis on DIYPS.org
  1. Mental preparation and training

It’s commonly said online that running 100 miles (or most ultra distances) is 80% mental and only 20% physical. (Or similar splits like 90/10). This is in part because it is not feasible to physically train to run the distance prior to your race (usually); and the first time you tackle a new distance, you always have many (often dozens!) of miles of distance that you’ve never covered before. It’s going to be uncomfortable, and you have to plan for that. Thus, mental preparation and training as much as possible to be prepared to deal with these challenges.

The first major aspect of this, for me, is practicing and reminding my brain how to process and work through discomfort. Discomfort is distinct from pain and being injured. (Pain and an injury should include evaluating whether you should cease your activity.) I’ve fortunately (and unfortunately) had recent experiences of pain when I broke my toe. Returning to walking and then running involved some discomfort as my body got used to covering miles again. It was a very distinct feeling that was not easily confused with pain from a broken bone, which to me feels like an “electrical” type of feeling.

This recent experience with pain is easy to differentiate from the discomfort of running long distances and being tired and sore. I’m working to capture these thoughts when I have them, and transition from “I’m tired and this hurts and this is terrible” during training runs and convert these thought patterns to “I’m tired and uncomfortable. But this is not pain; this is discomfort. This is how I’m going to feel at mile 34 or 57 or the back half of my 100M, and I’m going to keep running then and I’m going to keep running now to practice this feeling.” I want to register and save this feeling and mental state for what it’ll feel like during my 100M, so it’s easier to pull that out when I’m exhausted and uncomfortable at 3am and still likely have another 40-50 miles to go.

Similarly, I also try to envision different scenarios that I will experience in my “race” or 100 mile experience. In my case, I plan to run on a paved trail for a solo endeavor (DIY or self-organized, rather than an organized race with other people). Some of the scenarios I am expecting to experience and deal with include:

  • I will be running a course with 7 “laps” or loops of various lengths. This involves me coming back to the same point seven times so that I can get re-fueled by my crew (my husband), change clothes if needed, etc. I envision coming in for my second or third lap, having to turn around to head back out for another (but not my last) lap and not wanting to leave.
    • How I planned to deal with this scenario: I’ve written down crew instructions for my husband, which include how to refuel and replenish my supplies; a list of troubleshooting scenarios and supplies; but also specific things that would be constructive to say to me. In this instance, any of the following:
      • You are strong and you can do this.
      • You only have to do the current lap.
      • Walk as much as you need to.
  • This 100M will be one of the first times (other than a training run where I practice the transition) running all day and into the the night. I’m a little apprehensive about this idea of running for 14 hours in the dark (due to the time of year). Partially, this is because I’ve never run 14 hours before, and I’ll be doing it after already having run for 10 or so hours! And because I’m not as experienced running in the dark.
    • How I planned to deal with this scenario: I have a clear set of “day to night” transition supplies and instructions to gear up for the night. I will be equipped with reflective components on my vest; a bright colored shirt; a waist lamp; a head lamp; a blinky red light on the back of my vest. I will focus on getting geared up and recognizing that it’s a mental transition as well as a physical gear transition. I will also try to think about the novelty and adventure aspects of running through the night. It’ll probably be wet and cloudy – but it might clear up in patches enough to see some stars! And – the running through the night is something I didn’t think I could do, which is actually why I’m doing a 100M, to prove to myself that I can do anything I want to set my mind to. This is the purpose of being out here, and it’s a necessary part of achieving 100M.
  • At some point, most people do a lot of walking. I’m fairly unique in my “running” approach – I run/walk from the start, and also not like many people run/walk. In ultras, most folks walk every X minutes or when they reach hills. I consistently run/walk with 30s of running, then 60s or 90s of walking – from the very start. These are short intervals, but it’s what works well for me. But like everyone else, regardless of initial strategy, I expect there will be a time where it might be more efficient to try a brisk, consistent walk for a few minutes (or miles!), or a slow slog (inefficient walk) because that’s all I can convince myself to do.
    • How I planned to deal with this scenario: The goal is forward motion, however I can move. Walking is ok, and expected – and I will remind myself of that. I know there is a crossover point when running speed slows down to a certain degree and running becomes as efficient at a certain point. I also know these points, speeds, and effort levels will change throughout my 100M. It helps that I’m already a proactive walker; I have no shame, guilt, or hangups related to walking because it’s ½ or ⅔ of my forward motion strategy from the start! But I will remind myself that my plans for intervals can change and I can experiment to see what feels good throughout.
  • It’s possible that I could trip and fall, especially as I get tired and scuffle my feet on the trail, even though I’m on the paved trail. I also might get swooped by an owl or startled by something which causes me to trip and fall unexpectedly.
    • How I planned to deal with this scenario: I’ve got my safety plan in place (more on that below) and know I will first while on the ground disable the alarm on my watch so it does not call 911 (assuming this doesn’t appear to be needed). I will move my body to see if I’m just sore or if there are any scrapes or injuries that need addressing. I will stand up if possible, continuing to check myself out. I will slowly walk, if possible, and see how I feel. I’ll also probably call and let my husband know, and either ask him to come meet me earlier than expected that lap or just let him know so he can check on me when we meet up as planned. I will let myself walk any soreness off for a while (and turn off my interval alerts) before resuming a planned run/walk strategy.

So these are some of the scenarios I’m envisioning dealing with and my plans for them, with the hope and expectation that my brain will be better equipped to deal with them as a result of thinking about them in advance.

Depending on your race/route/plans, you might need to add other types of scenarios – such as leaving the aid station with warmth and light before heading into the night; or what to do if your crew doesn’t show up as planned; or your drop bag gets soaked with water; or the aid station is out of supplies or there is no one where you expect an aid station.

The other part of my mental preparation is a lot of pre-problem solving. Similar to the above scenarios, I have thought through what I need to do for the following:

  • I drop my fuel, enzymes, or electrolytes and can’t find them.
    • How I planned to deal with this scenario: I will call or text my husband and adjust plans for where he meets me. I will use the backup fuel supplies in my pack as needed to tide me over. (For my race, I have fuel in individual baggies and separated out for each “lap” or segment, plus extras and backups, so my husband can grab the backup bag or the next lap bag and bring it to me.)
  • I run out of water.
    • How I planned to deal with this scenario: There are 3-4 water fountains along or nearby my planned run route, and I can re-fill my hydration bladder within ~3 miles from any spot on the trail. I can also again call my husband and have him meet me sooner to re-fill my hydration pack.
  • My stomach gets upset.
    • How I planned to deal with this scenario: I have supplies (such as Immodium, GasX, Tums, etc) in my running pack that I can use. I also have more supplies laid out at home that I can ask my husband to bring.
  • I don’t feel like eating.
    • How I planned to deal with this scenario: I included this on the list because I read that it happens to a lot of people. But, as a person with type 1 diabetes…I have 20 years of practice of consuming sugar or food when my blood sugar is dropping or low, even when I’m not hungry. I have also practiced consistently fueling throughout my long runs, and I am used to eating when not hungry. I expect it is more likely that I will get tired of certain textures, so I have planned out my fuel so that “harder to chew” or crunchy foods that might hurt my mouth are the snacks I eat earlier, and then eat softer snacks or snacks that require less chewing later in the run. I also have a variety of backups that include different textures and some liquid options that I can substitute for my planned fuel.
  • Other scenarios I’ve pre-problem-solved are getting blisters or sore spots on my feet; chafing; getting low on sodium/electrolytes; muscles hurting on other parts of my body other than my feet; having feet that swell; getting itchy or having other types of allergic reactions; having trouble breathing; my eyes hurting; being really tired; being hot or cold or wet; my blood sugar staying higher or lower for a longer period of time; and mentally feeling “low” and unmotivated and wavering in the pursuit of my goal.
    • How I planned to deal with this scenario: As part of the ‘crew instruction’ list I’ve made for my husband, I have listed out all the supplies I have to address these categories. I will also have all of these supplies grouped and set out at home. My husband is awesome at troubleshooting problems in general, but he’ll also be tired at 2 am after only sleeping for 2 hours (plus I will be tired), so I created this to help me prep all the gear but also when I tell him “I’m ____”, he can offer the requisite supplies to address the problem without me having to try to figure out what my options are and decide what to do. All of this is to help mitigate the decision fatigue I will have and the overall fatigue he will have.
    • Note: I’ve also previously read a really good tip about managing decision fatigue. Tell your crew – in my case I’ve told my husband and written it onto the crew sheet – not to ask open-ended question, but to offer specific suggestions or options. For example, say “Do you want 2 or 2.5 liters of water in your hydration pack?” instead of “How much water do you want?”. For refilling my snacks, I’ve told my husband to refill my snack pack from the pre-filled bags, but the bag also has a sticky note about grabbing fresh prepared food. I told him to specifically ask “Do you want your waffle; sweet potato tots; mashed potatoes; or” (whatever is on my list of pre-prepared food for him to make and bring), instead of “What do you want?”

A lot of these I put on my list to think about based on race reports I’ve read from other people, that covers what they experienced (e.g. feet swelling and finding it helpful to have a half size bigger shoe to change into) and how they troubleshot things during the race while in between or at aid stations.

Some of my favorite race reports/blogs that I’ve learned a lot from include Rebecca Walker’s race reports; Wes Plate’s race recaps; Debbie Norman’s race reports (check out her sample crew sheet in that linked post); Bob Hearn’s thoughtfulness around pacing and walk strategy; and Sarah Lavender Smith’s race reports.

I have learned quite a bit and improved my planning and preparation by reading race reports of DNFs and also of finished races of different lengths. The longer the race, the more challenges there are and the more time to learn and sort them out. So that’s why I appreciate reading Wes’s multi day (eg 240 mile) recaps as well as 100 mile race reports, even though my focus has been on 50ks previously and now “just” a 100M.

One other thing I’ve thought about is the importance of knowing what your criteria for quitting/stopping/DNFing. For me this links back to discomfort versus pain. An injury should involve stopping temporarily and maybe permanently. But being tired, sore, uncomfortable – for me those should not qualify as reasons to stop. My goal is not to stop before 100 miles unless I have an actual injury (eg broken toe level pain).

2. Nutrition preparation and training

Yes, it’s worth “training” your nutrition. This means training your body by practicing fueling with the same foods and strategies as you want to use on your race. There’s a mantra of “nothing new on race day” that is both useful and not applicable to ultrarunning. In general, a lot of ultrarunners seem to do well (per my above search through many race reports) with eating small portions of “whatever looks good” at aid stations. If it looks good, their body is probably going to deal with it ok. But not always. And a lot of time people will bring fuel and rely on things they haven’t tested on their long runs prior to race day. Don’t be that person!

  • Test your fueling options and strategy (e.g. timing of fueling) on most runs, not just your very longest runs. For me, I do fuel for any runs of 2 hours or longer, because that correlates with when I bother to bring hydration and therefore also bring fuel. (That’s 8 miles for me at an average 15min/mile pace). Some folks use 1 hour or an hour and a half as their cutoff. But the point is – don’t just test your fuel on 6 hour runs. Fueling on shorter runs helps those runs feel better; you’ll likely recover from those runs more quickly; and it helps your body practice with those fueling options. You don’t want to find out at hour 8 of your 36 hour race that your body doesn’t do well with ___. It’s better to find that out at hour 3 of a 4 hour run, or similar.
  • Create your list of fuel that works for you. This should be based on your preferences but also how it helps you meet your fueling goals. When you have an idea for a new fuel, make sure you take it on your next run and try it. If you’re like me, you might want to try it near the end of your run, just in case your body doesn’t like it while running. If your body doesn’t like it, cross it off your list. You don’t want to be hauling or trying to eat food you know your body doesn’t like during a 100 mile run! I’ve found some things that I like to eat and found tasty fresh out of the oven – like ½ of a GF banana bread muffin – felt terrible in my mouth during runs. Some combination of the dry muffin (vs. freshly moist out of the oven) and the taste was not ideal for me. I ate it, and didn’t have GI distress, but I got home and promptly moved the remaining half portioned muffin baggies to my husband’s section of the fridge/freezer where my snack rejects go, and crossed it off my list. If it doesn’t bring you joy, or if it makes your brain cranky, it’s probably not a food you want for your ultra.
  • Don’t feel like there is a “wrong” food, as long as it’s something that’s not going to spoil easy or melt or be too hard to eat on the go. Look at snacks and meals you like to eat; is there a serving size or a variation that you like to eat? If so, try it! People eat all sorts of things in ultras, from puréed fruits and vegetables like applesauce or baby food pouches, to candy and chips to hamburgers and soup. Walk the store aisles (physically or virtually) and get ideas for food to try. But don’t limit yourself to sports “products” like blocks, gels, gu, drink mix, and similar. You’d be surprised about the variety of food that is portable, and in individual portions is close to the same macronutrients (calories, carbs, fat or protein, sodium, etc) as more expensive sports products. A lot of time you are paying for convenience and a certain texture/delivery method. But you can achieve the same intake of macronutrients through a variety of foods and beverages.
  • Some people stick with 1-2 foods or fuel sources (like liquid calorie/electrolyte solutions or gels/gu/blocks), but get tired of the sweet taste or the taste/texture of what they’re eating. Having a variety can help with this. Make your list, and for each run make sure you’re working through trying out and approving or removing the foods that you want to use during your race. Ideally, try them 1-2 times before your big run.
  • If you can, practice with some of the aid station type food including warm food (eg quesadilla or burger or whatever). Have someone meet you on longest runs with this freshly prepared, or take it with you and eat it for your first fuel. (Watch out for food spoiling/going bad – I always eat the hot/fresh prepared stuff first out of my set of fuel options when I get my pack refueled, to reduce the chance of bacteria growing or the food otherwise spoiling.) This is harder to do and may not be possible, but it could help expand your options for what you’re willing to take at aid stations if you’ve tested a version of a similar food before during a training run.
  • More planning ahead on nutrition for race day and training runs: figure out your timing of nutrition strategy and how many snacks or how much fuel (liquid or otherwise) you need to consume each hour or segment or between aid station. Pre-portion your fuel/snacks and if possible, label them. Plans can change and you can adapt on the fly, but having everything pre-portioned and ready to go means you can more easily start your training runs, fill your drop bags, or prep bags for your crew by having everything portioned out.
  • Planning ahead also means you get to the store or order however much you need so you’re not adding stress the last few days before you race or run in order to have your fuel set up and ready to go.
  • Don’t be afraid to use a timer. Some people wear running GPS watches that have alert/alarm features for fueling. You can use regular phone alarms, too, or apps like “Timer+” or “Intervals Pro” – both are ios apps that have free versions that allow one alarm each. You can choose whether it pushes a notification to your phone or watch or provides a verbal audio alert. I use both these apps and have one alarm that’s verbal audio reminding me to take electrolytes every 45 minutes; and the other one is a push-notification only that helps me remember to fuel roughly every 30 minutes. I generally am checking my watch so it’s easier to remember to fuel every :30 and 1:00 from when I start running, which is why I choose that one to be a push notification just in case. That works for me, but figure out your ideal timing and alert/alarm strategy to help you remember to fuel and electrolyte as you need to.

If anyone is curious about my individual approach to nutrition, I’ve written a bit more about it here, including how and why I actually use a spreadsheet to track nutrition and fueling during ultras and training runs. I separate my hydration (water only) and electrolytes (electrolyte pills; plus tracking the sodium in what I’m eating), so tracking my fueling serves many goals both during a run and after a run when I can look back and see if I need to tweak anything (such as not putting two smaller/lower-calorie, lower-sodium snacks back to back).

Since I’m running my ultra solo/DIY, I’m taking advantage of some fresh/heated fuel options, like mashed potatoes, ¼ of a ham and cheese (gluten-free) quesadilla, etc. For these, I am leaving a pre-printed sticky note on the baggie of shelf-stable fuel with a reminder for my husband to bring 2 of my fresh/hot options each time as well as anything else I need him to bring for that lap. To aid the bringing of the fresh/home food, I made a printed set of instructions that lists what these are, broken down by location (freezer, fridge, or on the counter) and instructions on how to make them. This is a critical step because what he predicts I want or how I want something to be cooked or prepped for a run doesn’t always match what I was wanting or expecting. Having clear instructions he can follow (eg heat ¼ quesadilla in microwave for 30s) works well for both of us and further helps with limiting his decision/processing fatigue since he’ll be responsible for grabbing and making 2 things; getting the lap bag of refuel; packing up ice and water; and getting all that and any other requested supplies out to the trail on time to refuel me as I pass by again.

If you have crew, think similarly about what food you want to have; how they’ll make it and serve it to you; how you’ll consume it at the aid station or as you move along on the trail. All of this planning will pay off.

(Another benefit of my macronutrient/fuel tracking spreadsheet is that my husband has access to it and can check it to see if I’m sticking to my fueling and electrolyte strategy, so he can troubleshoot and recommend things if I need support in fixing a problem. I don’t think he’ll use it much, but this secondary use of the spreadsheet was inspired by one of Heather Hart’s many excellent ultra posts talking about showing her empty fuel wrappers to her crew to prove that she was fueling. In my case, instead of counting wrappers, my husband can check my spreadsheet.)

3. Race day strategy (and pre-race and post-race strategy)

Continuing on the theme of pre-planning and laying out your strategy, I also think about strategy related to race day and leading up to race day as well as after race day.

My goal is to eliminate stress; pre-do as much work as I can physically and mentally to reduce the load when I will be physically and cognitively fatigued and overloaded.

Pre-race

For example, I look at my schedule prior to the race and try to clear out stressful activities (or prevent scheduling them, if possible). I know I’ll need to spend hours physically prepping (per above, making fuel and organizing supplies), so I put that on a to-do list and make a block of time on my calendar for it. I think about tasks that I will have before and after the race, such as changing my continuous glucose monitor (CGM) and pump sites to be in optimal locations on my body for the race; but also changing them early enough prior to the race so that they are settled in and I know they are working well. I also do things like pre-fill my reservoirs with insulin, and do enough reservoirs for a few days before and a week or so after the race. Like during the race, anything I can do to help reduce cognitive fatigue or pre-do steps of tasks that I know I will find harder to do is the goal.

This includes also blocking off my schedule with reminders to go to bed earlier. I think about when I’ll be waking up on race day and the night before, set my bedtime reminder for about 8 hours prior. Then every day before that I set it 15 minutes later, working back about a week and a half. I don’t always hit these sleep times, but progressively slightly shifting my sleep like this has been effective prior to international trips with a lot of time zone changes and also has paid off for getting a better night’s sleep the night or two before a race that involves waking up early.

I also specifically think through all the steps from waking up to starting my race, and how to optimize those. I eat a particular breakfast prior to the race, time it so that I can best get some macronutrients in, and time the insulin so I don’t have much of a BG spike but also then don’t have much insulin activity happening when I start my run. I don’t always get this right, but I attempt to line up my schedule so that I wake up and immediately eat what I have laid out on my bedside table and start hydrating, so that I can sleep as long as possible and don’t have to spend extra minutes convincing myself to get out of bed to go make breakfast. Some of these strategies are unique to me being a person with insulin-requiring (in my case, type 1) diabetes; but it’s pretty common for other ultrarunners to have strategies around what to eat the morning before a race; how many hours prior to the race; etc. I’d suggest you decide based on first principles and your own knowledge what to do for you.

Pro tip/personal vent: most people who blog or write about “avoiding insulin spikes” prior to the race or during the race – if they don’t actually administer exogenous insulin (aka inject or pump it, their pancreas makes it) – they also don’t usually actually know anything about the insulin response to food in their body. They are mostly repeating that from hearing it from others who repeat it from a long chain of people. You are SUPPOSED to spike insulin in response to what you’re eating: that’s good because it manages your blood glucose levels and helps your body process and store what it needs to be storing. It is also very normal for your blood sugar to rise in response to eating. The only people who need to think about “insulin spikes” are people who don’t think about it as insulin “spikes” but as insulin activity or more commonly “insulin on board” (IOB), which are people with insulin-requiring diabetes. This is different for us because we have to inject/pump insulin separately (our pancreases don’t make it on demand in response to sensing food in our bodies) AND because the insulin we use takes longer to act – 45-60 minutes instead of mere minutes – as well as has an hours-long “tail” effect. So it’s a lot of work to match the peak timing of insulin to the impact of different types of food in our bodies as well as watching out for insulin “stacking” over the many-hour activity curve for each dose. Your body, if you don’t have insulin-requiring diabetes? It does this, on its own, like magic. Yay, you! So ignore the stuff about “avoiding insulin spikes” and focus instead on things like whether the food feels heavy in your stomach when you run or gives you GI distress or otherwise doesn’t make you feel good. If it doesn’t, try different food and try different timing.

4. Race start and race strategy

You should definitely have a plan for how you run your race. In my case, because I’m a run/walker, I think about which set of intervals I will start at (likely 30:90, meaning 30s run and 90s walk, because that’s also how I train and helps me achieve my easy effort and easy paces). My goal is to start easy and limit excitement. Since I’m solo running, I don’t get swept up in other people running and racing. But, I always find the start and the first mile to be hard. So my strategy instead is to start, make sure all my intervals and run trackers are turned on; my electrolyte and fuel timers are set; and that I get my audiobook or podcast going. I troubleshoot any of these as needed on the walk intervals as I get going. I specifically try not to think about pace, especially the first half mile, nor how it’s feeling so I don’t catastrophize. I know the first 0.75 miles or so always feels pretty rough, so I aim to do no foreshadowing of how anything else is going to feel.

For most people running organized races, it helps to have studied the course maps and elevation profiles. Learn the course by heart, in terms of knowing how many miles to each aid station and what the elevation profile is like, and what your strategy is for each section. This means having a pace plan from the start and if you are going way too fast (due to excitement and other people around you), switching to walk breaks to help moderate your pace if you can’t slow your run pace down on its own. It also might help to not only have a pace plan but to also put time estimates on aid stations or check points. Use any extra time – especially if you are far ahead – to address any issues popping up (chafing, blisters or hot spots on your feet, etc.). Don’t start foreshadowing and forecasting that you can hold this too-fast pace through the whole race. You likely can’t (physically), and skipping the plan to stop and address issues will also doubly backfire later.

Even though I’m not running an organized race, this is still something I struggle with. I’m setting the goal to stop for bathroom breaks or shoe re-lacing or hotspot fixing in the first out and back “lap”, recognizing that it will help get my average time here to slow down a bit and keep me from powering through it too hard based on initial excitement. My goal is to make sure I don’t skimp on self-support (e.g. foot care or re-applying anti-chafe) by folding that it in to my goal pacing.

In general, though, because I’m running a 7 “lap” course, I focus on each lap. And only that lap. I’m running known out-and-back or triangle shaped “loops” that I know and love, so I can treat the first out-and-back like a long extra-easy run and settle in to watch landmarks while I listen to my audiobook and focus solely on managing effort. When I get back after the first loop and refill my vest, I then can think about the lap that I’m on (13 miles next, a much shorter loop). When I’m back, then I think about the next out and back (about 16 miles). And so on. My goal is to never think about how much time or distance is left. I’m not good at “running the mile I’m in”, as people often advise, but I am fairly good at focusing on a sub-component and the process overall. So focusing on each lap, and knowing there are 7 laps of varying lengths, helps me compartmentalize the experience. I’ll run ¼ of the first out and back in the dark and transition into the daylight; the second lap should also be during the day; then I’ll transition to my night gear for the third lap and be in the dark on the 4th, 5th, and 6th lap. I don’t have aid stations or elevation changes to really break up the course, but since I know the course and all the landmarks well, even with the variable distance “laps”, that aids me in knowing what to watch for and keep moving toward, even if I transition to a walk or get off track pace-wise from problem solving and am trying to re-orient myself again afterward.

It’s good to think about what supplies you’ll carry versus what you will have access to at aid stations, what you have in drop bags, and what your crew will have. I generally carry most of my needed first-aid/don’t feel good supplies on me: anti-chafing, kinesio tape for blisters or muscles, anti-nausea medication, etc. But I have a set of supplies prepped and ready for my husband (who is my crew) to bring to me if needed. I won’t have aid stations, so I think about my planned re-fuel stops as aid stations where he’ll primarily be. If something gets really bad, though, he can bike out to meet me. In some races you may have crew access to the trails wherever you need them; in other races, they are not allowed or able to access you outside designated points. Plan and carry supplies accordingly.

And, plan for your crew how to help you and how you’ll communicate with them. I will have cell service on my run, so I plan to text my husband to give him updates (in addition, he can geo-track my phone’s location) of when I’m on or off the last predicted pace to a refuel stop; what I want him to bring (e.g. the 2 hot/fresh food items, or any extra supplies from my laid-out stash); and how it’s going. We have practiced on training runs for him to grab my vest and refill ice and water, fuel, electrolytes/enzymes/eye drops, then bring it back to me (biking) or when I re-pass him after I’ve turned around and come back to the spot where he is per my course plan. But I also expect him, as crew, to also get tired and mentally fatigued, so I’ve made a checklist that he will use to make sure he completes the steps every lap. There’s also a checklist for day to night transition and night to day transition. This is in the same online document as my expert list of supplies and strategies to troubleshoot every issues, so he doesn’t have to guess what the good options are for fixing blisters or low sodium or whatever the issue may be. He runs, but he doesn’t do ultra runs, and regardless everyone is different in terms of what works for them and especially what works for them at different stages of an ultra; thus, having this crew guide or checklist or supply/strategy “cheatsheet” is a benefit, especially as both he and I get more and more tired through the night.

My strategy also includes making sure my devices stay powered. I always carry a small battery and a charging cord for my phone, and will keep my phone power topped off. This is because I use it for run tracking; geolocation for my crew (husband); fuel/electrolyte reminders; fuel tracking via my spreadsheet; and it is the “receiver” for my CGM so I know what my blood sugars are. Thus, it’s a mission-critical device and I always like to keep it charged. I will also grab a watch charger from my husband after a certain number of laps to top off the charge on my watch 1-2x, based on how it’s battery is doing. He’ll replace the battery in my vest each time after I’ve used it (we’ve got 2-3 small batteries for this purpose so he can take one home and re-charge it while I’m using the other, plus another backup). My phone then also serves as an emergency back-up light if my other two lights fail at night.

Speaking of lights and night gear, have a plan for when and how you’ll transition to night gear. Because I’m running a solo/DIY race and I’m not experienced at running at night (although I’ll do a run or two in training to practice the transition and my gear), I’m actually choosing to start my run at 6am so I run about 1.5-2 hours in the dark at the start of my race. Why? My husband doesn’t believe it’s necessary and is still arguing with me about it, but my strategy is intentional. I want to start the run in my lights and night gear and practice running in the dark again so that I can see if I need to tweak or adjust it for later that night around 6pm when I need to run in the dark again. This gives me one more practice round and mentally will help me – or at least, that’s the goal – know what it’s like to run in the dark. Given that I’ll run in the dark for 14h overnight, I don’t want to pick up my lights and take off and be 6-8 miles down trail from my husband and my backup gear if I realize something isn’t working well. I know I’ll be prone to just sticking it out for the entire lap; this way, I get a mini, 1.5h test of the gear on the same day and that way when I do a 3-5 hour first lap in the dark that evening, it’ll be slightly more likely to go smoothly and I’ll take all the smoothing I can get for my first 100M and my first all night and overnight run!

My other strategy involves self-care in the sense of regular medications that I need. Of course, I’ll be managing my blood sugars and insulin very carefully all day throughout (often thinking about it every 10-15 minutes to make sure everything is on track). But I also take allergy medication twice a day at morning and night, as well as a thyroid medication at night. So I have set reminders on my husband’s calendar to make sure he brings out my bags of night medication (e.g. allergy and thyroid) and in the morning (allergy) medication to make it less likely that I’ll forget to take them. Thankfully if I mess this up and am super delayed or forget to take them, it won’t derail my race/run much, but I definitely will feel not taking my allergy medication within hours so that will also help me remember to take my thyroid evening medication, too.

Another self-care strategy is around keeping my eyes hydrated with eye drops on a regular basis. In October 2021 I started to have really dry, gritty eyes and went to my eye doctor and was diagnosed with…dry, gritty eyes. Helpful! But, sarcasm aside (I love my eye doctor), I got eye gel to use before bedtime and eye drops to use throughout the day. Then in August 2022 I realized I had subclinical hyperthyroidism from Graves’ disease, which is an autoimmune disease (to go with type 1 diabetes, celiac disease, and exocrine pancreatic insufficiency) that causes eye issues. So! My dry gritty eyes were a precursor to my thyroid level changes. At any rate, learning how and when to use eye drops has become routine and I know how helpful it is to keep my eyes lubricated. I use preservative-free eye drops, not because the preservatives bother my eyes but because they come in miniature vials that are very easy to put in your pocket. Supposedly they are designed to be single use, but they usually contain enough lubrication for 2-3 rounds of drops for both eyes. So I twist off the lid, drop in both eyes, put the lid back on, and stuff it back in my pocket. I have set reminders on my calendar during the run to do this every few hours in case I forget, but I have also put vials in each lap bag (along with electrolytes and enzymes) and this presence of new eye drop mini-vials will help remind me (hopefully) to stay on top of eye lubrication.

Keeping my eyes from getting dry will hopefully help me be able to wear my contacts longer, because I usually take them out at night. But, I also will have my husband ready with my contact case and contact solution to take them out; then I will switch to my glasses or run without them (because I don’t need to see far or read signs off in the distance) for some period of hours, while still using the eye drops to keep them happy.

I’m fairly nervous about my eyes being an issue, since I’ve never run this long or all night. This was exacerbated by reading race recaps where folks talked about losing their vision! Yikes! I read a little bit more and realized they’re talking about corneal edema, where there is temporary swelling in the edema that makes your retinas visually look cloudy (if someone else looks at your eye). It usually goes away when people stop running after a few hours or day. But given my eye issues, before I had realized I was dealing with eye stuff related to Graves’ disease and thyroid stuff, I was concerned that my tendency to dry/gritty eyes would make me at higher risk of this, even though it seems like only 1-2% of 100M finishers ever deal with this. But, like everything else, I decided to have a strategy for this. I’ll seek to prevent it with regular lubrication and if it’s cold and windy, using my glasses (in lieu of contacts) or clear biker glasses or sunglasses to help protect my eyes from irritation and drying out further. But if it does happen, I’m using the advice from this post and bought a small vial of 5% hypertonic eye drops to use and try. (I had a regular annual eye doctor appointment a month prior, so I checked with my eye doctor about this. She had never heard of it and consulted a cornea specialist who had also not heard of it, which helps confirm that it’s pretty rare! Although they admitted they don’t get a lot of endurance athletes, looked it up on PubMed like I had, and agreed that if it happens to try the 5% hypertonic eye drops. Note that contact wearers want to take the contacts out before using these drops.) If I start to have vision issues; and I have the clear visual symptoms of this (according to Scott’s assessment of looking at my eyeballs); I’ll try the eye drops and ideally they’ll help. Since this is a known issue, if I still have some vision and can run safely (given my 6 foot wide paved trail in a safe location with no navigation required); I will likely try to continue – again based on discussion and advice with my doctor. But having a plan for this is much better than suddenly having vision issues in the ultra and feeling like I need to abort, when it might be ok to continue running (again on advice from my doctor).

Another strategy is thinking about how I’ll use caffeine. I usually drink caffeine up until noon, then switch to caffeine-free diet soda (and more water) in the afternoon and evening. I’ll drink a diet Mtn Dew when I wake up with my breakfast, but only one, and I will aim not to drink any throughout the day and save them for after midnight, when I’ll have been running for 18+ hours and have spent 6 hours in the dark. That way I have a “pick me up” to look forward to, both in terms of the taste/flavor of diet Mtn Dew, which I love, and some caffeine. There’s some suggestion that weaning off caffeine in the weeks prior to the race would make this a more effective strategy; but for me I think removing the joy of diet Mtn Dew would not be a net benefit. I’m also not convinced that I know what amount of caffeine is needed for an overnight boost, nor that I can test this reliably enough to have a solid evidence-based strategy here. So instead, I’m likely going for the mental boost of the taste change and the placebo effect of thinking the caffeine is helping. I have, however, tested drinking a diet Mtn Dew during a long run in the morning; so I do know that my body is ok taking it in.

This is yet another example of how I’m trying to remove decision-making during the race by pre-planning wherever possible for decisions like when to take caffeine or not; what to eat when; etc. I have laid out pacing sheets for a wide variety of run paces – so wide that the fastest pace (if all goes amazingly well) would have me finishing 8 hours faster than the slowest pace I have charted out. But the reason this matters is because I’m using the slowest time to estimate how much fuel I need to have prepared, then preparing more as backups (see more detail in the nutrition section). I created my overall fuel list then started putting in estimates of how many of each I would be willing to consume, also factoring in palate fatigue and texture fatigue and not wanting to chew or put ‘hard’ things (like Fritos) into my mouth in the later hours of my run. I balanced all of these variables and came up with 6 max servings of my chili cheese Fritos, most of which will be consumed in the earlier hours; 6 max servings of a few other routine things I can eat in most situations, then smaller counts (eg 1-4) of other things like the hot/home food that my husband will bring out in addition to the shelf-stable food. Once I had my overall counts totaling enough fuel for the slowest hour estimate and the number of servings; I then made a lap-by-lap list of what I wanted to eat when. I’m going to prepare these bags with the numbers I need per lap based on the timing (e.g. 10 snacks for the slowest pace estimated for my longest lap in between refuels, of which 8 are shelf stable and 2 will be added based on the sticky note reminder for the fresh/home options). Each of these lap bags will also include the requisite number of electrolyte pills I need, based on similar estimates from my “slow” paces, and the enzymes I need (because I have exocrine pancreatic insufficiency and need these to actually digest the fuel I consume), plus new eye drops. The point of this strategy is to remove decision making for both me and my husband: we don’t need to figure out how many enzymes or electrolytes I have “left” from the last lap (because I am off my fueling plan or more likely because I packed extra for each); instead, he can simply pull out all the trash, old enzyme/electrolyte bags, and replace with the new fuel, electrolyte, and enzymes along with my water/ice refill.

You may not have the complexity of my situation (type 1 diabetes, celiac, exocrine pancreatic insufficiency) influencing your fueling strategy and choices and how you’ll deal with fuel on the run. But, you might want to consider similarly planning your fuel. You may need to adapt your strategy based on how you’re feeling and what options you have in your pack, drop bag, with crew, or at an aid station, but you can plan for options to address issues of fatigue, palate/texture fatigue, etc. That, essentially, is what I have done.

Finally, I also consider a safety strategy part of my important race planning. I wear a watch that will generate an SOS alert and call emergency services if I fall during a run. I have the ability to press and hold a button on my watch or my phone to similarly generate an emergency services call. My location is tracked by my husband (and my mom from afar); and my husband also has access to my CGM for blood glucose tracking. He’ll have extra alerts and alarms set at different thresholds than we typically do for glucose levels. Finally, we’ve also created what I call the “DanaWatch” plan/squad, which is 3 people who will be texting me periodically from midnight to 9am my time, which is the overnight hours when Scott will be intermittently sleeping for 1-2 hour snatches in between refueling me. The plan is for my friend in the UK to text me every half hour and watch for a response that I’ll generate from my watch – probably a simple thumbs up emoji or tapping one of the auto-generated responses like “thanks” or “hi” or “I’m good”. After a few hours, a friend on the east coast will take over. Then my mom in central time zone after she wakes up will start texting. Nothing fancy, but the point is that they have ensured I’m still moving and ok. If I don’t respond within 5 minutes, they’ll call me; if I don’t pick up the phone, they’ll call Scott. This means that there wouldn’t be more than about 30 minutes where I’m not actively being “watched” virtually in case I get swooped by an owl, fall down and hit my head and am too disoriented to call for help (or some other very rare situation). I don’t expect that will happen; but I also think I’ll appreciate the “company” since I’m again, running a solo, DIY race where there aren’t aid stations, other runners, and other crew out and about to cheer me on. It’ll also help my husband sleep better/feel better, so any of those reasons are worth this strategy!

Post-race strategy

Like pre-race strategy, post-race strategy and planning is also critical for me. Once I cross the finish “line” and stop, I get cold and start to feel being wet (from sweat or rain) very quickly. My feet and everything hurt even more. I am absolutely not hungry despite knowing I need to re-fuel. But later I am ravenously hungry like a switch has shifted. So I plan accordingly.

First up, gear change. I want to change into dry clothes. I remind my husband to remind me that yes, despite the pain/hassle of getting out of a wet sports bra and changing it, I’ll regret not changing out of it in addition to changing my shirt. Sometimes, if we are getting in the car to drive home, I quickly swap to a dry shirt and then take the sports bra off under my shirt and just leave it off. No need for gymnastics to put another one on if I am just riding in the car. Same with shoes: once I take my sneakers off, my feet will not want to go back in sneakers. Definitely not the same sweaty, dirty shoes I was running  in, but also not cleaner and even bigger shoes. Instead, I prefer sandals/arch support flip flops. I have those, compression sleeves, and my clean dry clothes ready to go. I learned after my first trail marathon how good a washcloth feels for rubbing off sweat and dirt, so I also have a washcloth. It works for removing masses of mud before you get in the car, too. Or if you’re not muddy and hot and sweaty, pouring some cool water on it and washing your face feels heavenly.

Next up is fueling. When running an organized race, I don’t want to eat any of the race food, even if I can have it. (By “can have it” I mean that it’s safely gluten free with no cross-contamination risk, since I have celiac disease.) Usually I can’t have it, and I plan accordingly to bring food that is not the same food I’ve been eating throughout my ultra (because I have palate fatigue). I don’t want to eat as soon as I stop running, but usually after changing in the car and driving off, my body switches into “you’re safe” mode and wants to start refueling. Make sure you have all your food in the seat with you so you don’t have to stop and dig it out; or worse, have to try to twist around or reach for it (because you won’t want to do that most likely).

And again, you may have palate fatigue or similar (or it may disappear as soon as you are done), so having a few good options will be useful.

I also try to get enough groceries and prepare food for the following several days, too, when I’ll still be hungrier and making up for burned energy. My motivation to cook/prepare/put together food will be low, so having a stocked fridge and freezer with easy to prepare food is important.

Also, you may not be driving home from your race (or being driven home), so make sure to plan your logistics accordingly. Can you get to the airport that same day? Should you? Do you want to? And the next day? Is it safe to fly in your physical state? What different supplies do you need for flying that might be different (due to security regulations around liquid etc) than you would if you were driving home? Do you have enough snacks/food for the travel days following your run?

Training strategy

Oh, and yes, you have to physically train for your ultra. I am by no means a coach or an expert ultra runner. I am a solid, places-from-last back-of-the-pack runner who is a consistent run/walker. So get or make a training plan (Heather Hart has some great free ones for various distances). And stick to it. Except for when you don’t stick to it.

Wait, what?

You set your training strategy for “if all goes well”, but also build in flexibility and extra time for when things don’t go well. Like wildfire smoke season making it unsafe to run outside for a few days or weeks. Or you break your toe and spend 4 weeks not weight bearing. Or you have a lot of life stress, child or parental care, job stress, or any number of things. All this stress impacts training. Give yourself grace and be prepared to be flexible.

I have a hard time with this; I like my spreadsheets and my plans. But wildfire smoke and a broken toe were part of my 2022 ultra training experience this year, and I had to adjust training (and race plans) accordingly. At some point, you have to make the go/no-go decision about whether you’re going to run your race.

Think about what the “ideal training” is. Think about what is the “minimum training” to complete your event safety. If you’re somewhere in between, it’s going to be mental training and planning that can make the difference. At some point, if you’re above ‘minimum’ training you can decide to run even if your training isn’t ideal. Remember, it probably won’t be ideal and it isn’t for a lot of people. But per the mental training section and the wisdom I’ve gained from a lot of ultra runners…the most important factor might be deciding to do it. If you decide to, barring injury during the race or an accident, you will. If you decide mid-race you can’t or don’t want to, likely you won’t.

I think one thing I observe people not training is their walking strategy. Mine is baked in, because all my training short and long runs are intervals of run/walk. Many folks talk about walking hills or walking X minutes per Y minutes or Z miles. If that’s the plan for your race, train it during long runs. Walk hills or powerwalk or hike hills during runs or at the ends of runs. Practice a slow walk mixed in or a faster more efficient power walk. This will help build different muscles and help you maintain more efficient form (and speed) when you shift to it during the race, and help you go longer.

Similarly, practice with your vest/pack/handheld and other hydration gear. Practice with a similar stuffed and weighted pack. Practice with your head lamp. Do a run early in the morning as it transitions from dark to light; do a run into the evening as it transitions from light to dark to get used to your gear; practice troubleshooting it; and to improve your strategy for these transitions. If it’s wildfiresmoke season where you live, practice running masked as well. (On my last long run, I wore my mask for the full 8 hour run because air quality was so yucky.)

Also train and practice with your crew, if possible. Especially things like helping them tape or lubricate, tying your shoes, helping you put your pack on, them packing your pack/vest with supplies, etc. Any of these steps can be practiced during a training run so you and they can figure out what questions and assumptions you each have, and to build the crew checklist and instructions.

In my case, I’ve trained with my husband on refilling my ice and water in my pack during several training runs and previous races. We haven’t trained yet on him re-packing my (new) vest, though, so that’s on our list to practice on runs heading into my 100M. We did practice one run where I needed him to pick me up at a trail construction closure and drive me to the other side, with him bringing me a fresh/hot home-prepared fuel option. It worked well to a degree; I had a ¼ ham and cheese quesadilla slice in the microwave and had told him how to microwave it, which I had factored in cooling time for when he would be driving it to me before I would eat it. But he also tried to optimize and then put it in our car-based portable food warmer, which doesn’t do well with plastic bags (it needs a tupperware container) in general and was way too much heat. So it was scalding hot when I got in the car! Oops. Lesson learned. That was maybe unique to the car scenario but we will also test and practice the other food warming up options to make sure he doesn’t accidentally re-optimize where I’ve already optimized the food process; and make sure I have in fact optimally optimized the food strategy for each item.

Conclusion

Wow, that’s a lot of planning and strategy now that I’ve written it all out. Which makes sense, because I’ve been thinking about all these things for months and iterating on my strategies and plans. Hopefully, it’ll pay off and help immensely with making my 100M experience more smooth (note that I doubt any 100M would be easy/easier but I hope for “smoother”!) than it otherwise would be.

In summary, I pre-plan mentally for how it’ll feel running; I attempt to solve as many problems in advance as I can and prep supplies for fixing problems; I test, plan, and practice my fueling as much as possible; I aim to carefully pace effort as well as speed during my run; I break my run up into mental chunks so I am not dwelling on what’s to come but focusing on running the current segment; I try to minimize decision fatigue during and after the race by pre-doing anything I can and pre-supplying myself to make it easier; and of course, I train for months to prepare physically as best as possible while realizing that my training might not ever be ideal but that I can still safely attempt to run 100 miles.

PS – if there are any strategies, tips, or approaches you take to ultrarunning, especially 100 miles or more distance-wise, I’d love to hear them! Please share them in the comments or link to any posts you’ve written. I’m still learning and likely will always be evolving my strategies!

Note: I wrote this post before my 100 mile attempt. I ended up completing 82 miles and happily choosing to stop, knowing that I could physically keep going. Looking back at the above and reflecting on my experiences, I didn’t have a single challenge or experience that I wasn’t prepared to deal with or couldn’t deal with, thanks to all of the above work. So I’m thrilled and proud of my 82 mile experience!

If you found this post useful, you might also be interested to read this post with more details on how I developed my pacing, enzyme, and electrolyte estimates and more tactical specifics of how I prepped myself and my crew for my ultramarathon.

Understanding the Difference Between Open Source and DIY in Diabetes

There’s been a lot of excitement (yay!) about the results of the CREATE trial being published in NEJM, followed by the presentation of the continuation results at EASD. This has generated a lot of blog posts, news articles, and discussion about what was studied and what the implications are.

One area that I’ve noticed is frequently misunderstood is how “open source” and “DIY” are different.

Open source means that the source code is openly available to view. There are different licenses with open source; most allow you to also take and reuse and modify the code however you like. Some “copy-left” licenses commercial entities to open-source any software they build using such code. Most companies can and do use open source code, too, although in healthcare most algorithms and other code related to FDA-regulated activity is proprietary. Most open source licenses allow free individual use.

For example, OpenAPS is open source. You can find the core code of the algorithm here, hosted on Github, and read every line of code. You can take it, copy it, use it as-is or modify it however you like, because the MIT license we put on the code says you can!

As an individual, you can choose to use the open source code to “DIY” (do-it-yourself) an automated insulin delivery system. You’re DIY-ing, meaning you’re building it yourself rather than buying it or a service from a company.

In other words, you can DIY with open source. But open source and DIY are not the same thing!

Open source can and is usually is used commercially in most industries. In healthcare and in diabetes specifically, there are only a few examples of this. For OpenAPS, as you can read in our plain language reference design, we wanted companies to use our code as well as individuals (who would DIY with it). There’s at least one commercial company now using ideas from the OpenAPS codebase and our safety design as a safety layer against their ML algorithm, to make sure that the insulin dosing decisions are checked against our safety design. How cool!

However, they’re a company, and they have wrapped up their combination of proprietary software and the open source software they have implemented, gotten a CE mark (European equivalent of FDA approval), and commercialized and sold their AID product to people with diabetes in Europe. So, those customers/users/people with diabetes are benefitting from open source, although they are not DIY-ing their AID.

Outside of healthcare, open source is used far more pervasively. Have you ever used Zoom? Zoom uses open source; you then use Zoom, although not in a DIY way. Same with Firefox, the browser. Ever heard of Adobe? They use open source. Facebook. Google. IBM. Intel. LinkedIn. Microsoft. Netflix. Oracle. Samsung. Twitter. Nearly every product or service you use is built with, depends on, or contains open source components. Often times open source is more commonly used by companies to then provide products to users – but not always.

So, to more easily understand how to talk about open source vs DIY:

  • The CREATE trial used a version of open source software and algorithm (the OpenAPS algorithm inside a modified version of the AndroidAPS application) in the study.
  • The study was NOT on “DIY” automated insulin delivery; the AID system was handed/provided to participants in the study. There was no DIY component in the study, although the same software is used both in the study and in the real world community by those who do DIY it. Instead, the point of the trial was to study the safety and efficacy of this version of open source AID.
  • Open source is not the same as DIY.
  • OpenAPS is open source and can be used by anyone – companies that want to commercialize, or individuals who want to DIY. For more information about our vision for this, check out the OpenAPS plain language reference design.
Venn diagram showing a small overlap between a bigger open source circle and a smaller DIY circle. An arrow points to the overlapping section, along with text of "OpenAPS". Below it text reads: "OpenAPS is open source and can be used DIY. DIY in diabetes often uses open source, but not always. Not all open source is used DIY."

Continuation Results On 48 Weeks of Use Of Open Source Automated Insulin Delivery From the CREATE Trial: Safety And Efficacy Data

In addition to the primary endpoint results from the CREATE trial, which you can read more about in detail here or as published in the New England Journal of Medicine, there was also a continuation phase study of the CREATE trial. This meant that all participants from the CREATE trial, including those who were randomized to the automated insulin delivery (AID) arm and those who were randomized to sensor-augmented insulin pump therapy (SAPT, which means just a pump and CGM, no algorithm), had the option to continue for another 24 weeks using the open source AID system.

These results were presented by Dr. Mercedes J. Burnside at #EASD2022, and I’ve summarized her presentation and the results below on behalf of the CREATE study team.

What is the “continuation phase”?

The CREATE trial was a multi-site, open-labeled, randomized, parallel-group, 24-week superiority trial evaluating the efficacy and safety of an open-source AID system using the OpenAPS algorithm in a modified version of AndroidAPS. Our study found that across children and adults, the percentage of time that the glucose level was in the target range of 3.9-10mmol/L [70-180mg/dL] was 14 percentage points higher among those who used the open-source AID system (95% confidence interval [CI], 9.2 to 18.8; P<0.001) compared to those who used sensor augmented pump therapy; a difference that corresponds to 3 hours 21 minutes more time spent in target range per day. The system did not contribute to any additional hypoglycemia. Glycemic improvements were evident within the first week and were maintained over the 24-week trial. This illustrates that all people with T1D, irrespective of their level of engagement with diabetes self-care and/or previous glycemic outcomes, stand to benefit from AID. This initial study concluded that open-source AID using the OpenAPS algorithm within a modified version of AndroidAPS, a widely used open-source AID solution, is efficacious and safe. These results were from the first 24-week phase when the two groups were randomized into SAPT and AID, accordingly.

The second 24-week phase is known as the “continuation phase” of the study.

There were 52 participants who were randomized into the SAPT group that chose to continue in the study and used AID for the 24 week continuation phase. We refer to those as the “SAPT-AID” group. There were 42 participants initially randomized into AID who continued to use AID for another 24 weeks (the AID-AID group).

One slight change to the continuation phase was that those in the SAPT-AID used a different insulin pump than the one used in the primary phase of the study (and 18/42 AID-AID participants also switched to this different pump during the continuation phase), but it was a similar Bluetooth-enabled pump that was interoperable with the AID system (app/algorithm) and CGM used in the primary outcome phase.

All 42 participants in AID-AID completed the continuation phase; 6 participants (out of 52) in the SAPT-AID group withdrew. One withdrew from infusion site issues; three with pump issues; and two who preferred SAPT.

What are the results from the continuation phase?

In the continuation phase, those in the SAPT-AID group saw a change in time in range (TIR) from 55±16% to 69±11% during the continuation phase when they used AID. In the SAPT-AID group, the percentage of participants who were able to achieve the target goals of TIR > 70% and time below range (TBR) <4% increased from 11% of participants during SAPT use to 49% during the 24 week AID use in the continuation phase. Like in the primary phase for AID-AID participants; the SAPT-AID participants saw the greatest treatment effect overnight with a TIR difference of 20.37% (95% CI, 17.68 to 23.07; p <0.001), and 9.21% during the day (95% CI, 7.44 to 10.98; p <0.001) during the continuation phase with open source AID.

Those in the AID-AID group, meaning those who continued for a second 24 week period using AID, saw similar TIR outcomes. Prior to AID use at the start of the study, TIR for that group was 61±14% and increased to 71±12% at the end of the primary outcome phase; after the next 6 months of the continuation phase, TIR was maintained at 70±12%. In this AID-AID group, the percentage of participants achieving target goals of TIR >70% and TBR <4% was 52% of participants in the first 6 months of AID use and 45% during the continuation phase. Similarly to the primary outcomes phase, in the continuation phase there was also no treatment effect by age interaction (p=0.39).

The TIR outcomes between both groups (SAPT-AID and AID-AID) were very similar after each group had used AID for 24 weeks (SAPT-AID group using AID for 24 weeks during the continuation phase and AID-AID using AID for 24 weeks during the initial RCT phase).. The adjusted difference in TIR between these groups was 1% (95% CI, -4 to 6; p=-0.67). There were no glycemic outcome differences between those using the two different study pumps (n=69, which was the SAPT-AID user group and 18 AID-AID participants who switched for continuation; and n=25, from the AID-AID group who elected to continue on the pump they used in the primary outcomes phase).

In the initial primary results (first 24 weeks of trial comparing the AID group to the SAPT group), there was a 14 percentage point difference between the groups. In the continuation phase, all used AID and the adjusted mean difference in TIR between AID and the initial SAPT results was a similar 12.10 percentage points (95% CI, p<0.001, SD 8.40).

Similar to the primary phase, there was no DKA or severe hypoglycemia. Long-term use (over 48 weeks, representing 69 person-years) did not detect any rare severe adverse events.

CREATE results from the full 48 weeks on open source AID with both SAPT (control) and AID (intervention) groups plotted on the graph.

Conclusion of the continuation study from the CREATE trial

In conclusion, the continuation study from the CREATE trial found that open-source AID using the OpenAPS algorithm within a modified version of AndroidAPS is efficacious and safe with various hardware (pumps), and demonstrates sustained glycaemic improvements without additional safety concerns.

Key points to takeaway:

  • Over 48 weeks total of the study (6 months or 24 weeks in the primary phase; 6 months/24 weeks in the continuation phase), there were 64 person-years of use of open source AID in the study, compared to 59 person-years of use of sensor-augmented pump therapy.
  • A variety of pump hardware options were used in the primary phase of the study among the SAPT group, due to hardware (pump) availability limitations. Different pumps were also used in the SAPT-AID group during the AID continuation phase, compared to the pumps available in the AID-AID group throughout both phases of trial. (Also, 18/42 of AID-AID participants chose to switch to the other pump type during the continuation phase).
  • The similar TIR results (14 percentage points difference in primary and 12 percentage points difference in continuation phase between AID and SAPT groups) shows durability of the open source AID and algorithm used, regardless of pump hardware.
  • The SAPT-AID group achieved similar TIR results at the end of their first 6 months of use of AID when compared to the AID-AID group at both their initial 6 months use and their total 12 months/48 weeks of use at the end of the continuation phase.
  • The safety data showed no DKA or severe hypoglycemia in either the primary phase or the continuation phases.
  • Glycemic improvements from this version of open source AID (the OpenAPS algorithm in a modified version of AndroidAPS) are not only immediate but also sustained, and do not increase safety concerns.
CREATE Trial Continuation Results were presented at #EASD2022 on 48 weeks of use of open source AID

Wondering about the “how” rather than the “why” of autoimmune conditions

I’ve been thinking a lot about stigma, per a previous post of mine, and how I generally react to, learn about, and figure out how to deal with new chronic diseases.

I’ve observed a pattern in my experiences. When I suspect an issue, I begin with research. I read medical literature to find out the basics of what is known. I read a high volume of material, over a range of years, to see what is known and the general “ground truth” about what has stayed consistent over the years and where things might have changed. This is true for looking into causal mechanisms as well as diagnosis and then more importantly to me, management/treatment.

I went down a new rabbit hole of research and most articles were publicly accessible

A lot of times with autoimmune related diseases…the causal mechanism is unknown. There are correlations, there are known risk factors, but there’s not always a clear answer of why things happen.

I realize that I am lucky that my first “thing” (type 1 diabetes) was known to be an autoimmune condition, and that probably has framed my response to celiac disease (6 years later); exocrine pancreatic insufficiency (19+ years after diabetes); and now Graves’ disease (19+ years after diabetes). Why do I think that is lucky? Because when I’m diagnosed with an autoimmune condition, it’s not a surprise that it IS an autoimmune condition. When you have a nicely overactive immune system, it interferes with how your body is managing things. In type 1 diabetes, it eventually makes it so the beta cells in your pancreas no longer produce insulin. In celiac, it makes it so the body has an immune reaction to gluten, and the villi in your small intestine freak out at the microscopic, crumb-level presence of gluten (and if you keep eating gluten, can cause all sorts of damage). In exocrine pancreatic insufficiency, there is possibly either atrophy as a result of the pancreas not producing insulin or other immune-related responses – or similar theories related to EPI and celiac in terms of immune responses. It’s not clear ‘why’ or which mechanism (celiac, T1D, or autoimmune in general) caused my EPI, and not knowing that doesn’t bother me, because it’s clearly linked to autoimmune shenanigans. Now with Graves’ disease, I also know that low TSH and increased thyroid antibodies are causing subclinical hyperthyroidism symptoms (such as occasional minor tremor, increased resting HR, among others) and Graves’ ophthalmology symptoms as a result of the thyroid antibodies. The low TSH and increased thyroid antibodies are a result of my immune system deciding to poke at my thyroid.

All this to say…I typically wonder less about “why” I have gotten these things, in part because the “why” doesn’t change “what” to do; I simply keep gathering new data points that I have an overactive immune system that gives me autoimmune stuff to deal with.

I have contrasted this with a lot of posts I observe in some of the online EPI groups I am a part of. Many people get diagnosed with EPI as a result of ongoing GI issues, which may or may not be related to other conditions (like IBS, which is often a catch-all for GI issues). But there’s a lot of posts wondering “why” they’ve gotten it, seemingly out of the blue.

When I do my initial research/learning on a new autoimmune thing, as I mentioned I do look for causal mechanisms to see what is known or not known. But that’s primarily, I think, to rule out if there’s anything else “new” going on in my body that this mechanism would inform me about. But 3/3 times (following type 1 diabetes, where I first learned about autoimmune conditions), it’s primarily confirmed that I have autoimmune things due to a kick-ass overactive immune system.

What I’ve realized that I often focus on, and most others do not, is what comes AFTER diagnosis. It’s the management (or treatment) of, and living with, these conditions that I want to know more about.

And sadly, especially in the latest two experiences (exocrine pancreatic insufficiency and Graves’ disease), there is not enough known about management and optimization of dealing with these conditions.

I’ve previously documented and written quite a bit (see a summary of all my posts here) about EPI, including my frustrations about “titrating” or getting the dose right for the enzymes I need to take every single time I eat something. This is part of the “management” gap I find in research and medical knowledge. It seems like clinicians and researchers spend a lot of time on the “why” and the diagnosis/starting point of telling someone they have a condition. But there is way less research about “how” to live and optimally manage these things.

My fellow patients (people with lived experiences) are probably saying “yeah, duh, and that’s the power of social media and patient advocacy groups to share knowledge”. I agree. I say that a lot, too. But one of the reasons these online social media groups are so powerful in sharing knowledge is because of the black hole or vacuum or utter absence of research in this space.

And it’s frustrating! Social media can be super powerful because you can learn about many n=1 experiences. If you’re like me, you analyze the patterns to see what might be reproducible and what is worth experimenting in my own n=1. But often, this knowledge stays in the real world. It is not routinely funded, studied, operationalized, and translated in systematic ways back to healthcare providers. When patients are diagnosed, they’re often told the “what” and occasionally the “why” (if it exists), but left to sometimes fall through the cracks in the “how” of optimally managing the new condition.

(I know, I know. I’m working on that, in diabetes and EPI, and I know dozens of friends, both people with lived experiences and researchers who ARE working on this, from diabetes to brain tumors to Parkinson’s and Alzheimer’s and beyond. And while we are moving the needles here, and making a difference, I’m wanting to highlight the bigger issue to those who haven’t previously been exposed to the issues that cause the gaps we are trying to fill!)

In my newest case of Graves’ disease, it presented with subclinical hyperthyroidism. As I wrote here, that for me means the lower TSH and higher thyroid antibodies but in range T3 and T4. In discussion with my physician, we decided to try an antithyroid drug, to try to lower the antibody levels, because the antibody levels are what cause the related eye symptoms (and they’re quite bothersome). The other primary symptom I have is higher resting HR, which is also really annoying, so I’m also hoping it helps with that, too. But the game plan was to start taking this medication every day; and get follow-up labs in about 2 months, because it takes ~6 weeks to see the change in thyroid levels.

Let me tell you, that’s a long time. I get that the medication works not on stored thyroid levels; thus, it impacts the new production only, and that’s why it takes 6 weeks to see it in the labs because that’s how long it takes to cycle through the stored thyroid stuff in your body.

My hope was that within 2-3 weeks I would see a change in my resting HR levels. I wasn’t sure what else to expect, and whether I’d see any other changes.

But I did.

It was in the course of DAYS, not weeks. It was really surprising! I immediately started to see a change in my resting HR (across two different wearable devices; a ring and a watch). Within a week, my phone’s health flagged it as a “trend”, too, and pinpointed the day (which it didn’t know) that I had started the new medication based on the change in the trending HR values.

Additionally, some of my eye symptoms went away. Prior to commencing the new medication, I would wake up and my eyes would hurt. Lubricating them (with eye drops throughout the day and gel before bed) helped some, but didn’t really fix the problem. I also had pretty significant red, patchy spots around the outside corner of one of my eyes, and eyelid swelling that would push on my eyeball. 4 days into the new medication, I had my first morning where I woke up without my eyes hurting. The next day it returned, and then I had two days without eye pain. Then I had 3-4 days with the painful eyes. Then….now I’m going on 2 weeks without the eye pain?! Meanwhile, I’m also tracking the eye swelling. It went down to match the eye pain going away. But it comes back periodically. Recently, I commented to Scott that I was starting to observe the pattern that the red/patchy skin at the corner and under my right eye would appear; then the next day the swelling of and above the eyelid would return. After 1-2 days of swelling, it would disappear. Because I’ve been tracking various symptoms, I looked at my data the other day and saw that it’s almost a 6-7 day pattern.

Interesting!

Again, the eye stuff is a result of antibody levels. So now I am curious about the production of antibodies and their timeline, and how that differs from TSH and thyroid hormones, and how they’re impacted with this drug.

None of that is information that is easy to get, so I’m deep in the medical literature trying again to find out what is known, whether this type of pattern is known; if it’s common; or if this level of data, like my within-days impact to resting HR change is new information.

Most of the research, sadly, seems to be on pre-diagnosis or what happens if you diagnose someone but not give them medication in hyperthyroid. For example, I found this systematic review on HRV and hyperthyroid and got excited, expecting to learn things that I could use, but found they explicitly removed the 3 studies that involved treating hyperthyroidism and are only studying what happens when you don’t treat it.

Sigh.

This is the type of gap that is so frustrating, as a patient or person who’s living with this. It’s the gap I see in EPI, where little is known on optimal titration and people don’t get prescribed enough enzymes and aren’t taught how to match their dosing to what they are eating, the way we are taught in diabetes to match our insulin dosing to what we’re eating.

And it matters! I’m working on writing up data from a community survey of people with EPI, many of whom shared that they don’t feel like they have their enzyme dosing well matched to what they are eating, in some cases 5+ years after their diagnosis. That’s appalling, to me. Many people with EPI and other conditions like this fall through the cracks with their doctors because there’s no plan or discussion on what managing optimally looks like; what to change if it’s not optimal for a person; and what to do or who to talk to if they need help managing.

Thankfully in diabetes, most people are supported and taught that it’s not “just” a shot of insulin, but there are more variables that need tracking and managing in order to optimize wellbeing and glucose levels when living with diabetes. But it took decades to get there in diabetes, I think.

What would it be like if more chronic diseases, like EPI and Graves’ disease (or any other hyper/hypothyroid-related diseases), also had this type of understanding across the majority of healthcare providers who treated and supported managing these conditions?

How much better would and could people feel? How much more energy would they have to live their lives, work, play with their families and friends? How much more would they thrive, instead of just surviving?

That’s what I wonder.

Wondering "how" rather than "why" of autimmune conditions, by @DanaMLewis from DIYPS.org

New Research on Glycemic Variability Assessment In Exocrine Pancreatic Insufficiency (EPI) and Type 1 Diabetes

I am very excited to share that a new article I wrote was just published, looking at glycemic variability in data from before and after pancreatic enzyme replacement therapy (PERT) was started in someone with type 1 diabetes with newly discovered exocrine pancreatic insufficiency (EPI or PEI).

If you’re not aware of exocrine pancreatic insufficiency, it occurs when the pancreas no longer produces the amount of enzymes necessary to fully digest food. If that occurs, people need supplementary enzymes, known as pancreatic enzyme replacement therapy (PERT), to help them digest their food. (You can read more about EPI here, and I have also written other posts about EPI that you can find at DIYPS.org/EPI.)

But, like MANY medications, when someone with type 1 diabetes or other types of insulin-requiring diabetes starts taking them, there is little to no guidance about whether these medications will change their insulin sensitivity or otherwise impact their blood glucose levels. No guidance, because there are no studies! In part, this may be because of the limited tools available at the time these medications were tested and approved for their current usage. Also this is likely in part because people with diabetes make up a small fraction of the study participants that most of these medications are tested on. If there are any specific studies on the medications in people with diabetes, these studies likely were done before CGM, so little data is available that is actionable.

As a result, the opportunity came up to review someone’s data who happened to have blood glucose data from a continuous glucose monitor (CGM) as well as a log of what was eaten (carbohydrate entries) prior to commencing pancreatic enzyme replacement therapy. The tracking continued after commencing PERT and was expanded to also include fat and protein entries. As a result, there was a useful dataset to compare the impacts of pancreatic enzyme replacement therapy on blood glucose outcomes and specifically, looking at glycemic variability changes!

(You can read an author copy here of the full paper and also see the supplementary material here, and the DOI for the paper is https://doi.org/10.1177/19322968221108414 . Otherwise, below is my summary of what we did and the results!)

In addition to the above background, it’s worth noting that Type 1 diabetes is known to be associated with EPI. In upwards of 40% of people with Type 1 diabetes, elastase levels are lowered, which in other cases is correlated with EPI. However, in T1D, there is some confusion as to whether this is always the case or not. Based on recent discussions with endocrinologists who treat patients with T1D and EPI (and have patients with lowered elastase that they think don’t have EPI), I don’t think there have been enough studies looking at the right things to assess whether people with T1D and lowered elastase levels would benefit from PERT and thus have EPI. More on this in the future!

Because we now have technology such as AID (automated insulin delivery) and CGM, it’s possible to evaluate things beyond simple metrics of “average blood sugar” or “A1c” in response to taking new medications. In this paper, we looked at some basic metrics like average blood sugar and percent time in range (TIR), but we also did quite a few calculations of variables that tell us more about the level of variability in glucose levels, especially in the time frames after meals.

Methods

This person had tracked carb entries through an open source AID system, and so carb entries and BG data were available from before they started PERT. We call this “pre-PERT”, and selected 4 weeks worth of data to exclude major holidays (as diet is known to vary quite a bit during those times). We then compared this to “post-PERT”, the first 4 weeks after the person started PERT. The post-PERT data not only included BGs and carb entries, but also had fat and protein entries as well as PERT data. Each time frame included 13,975 BG data points.

We used a series of open source tools to get the data (Nightscout -> Nightscout Data Transfer Tool -> Open Humans) and process the data (my favorite Unzip-Zip-CSVify-OpenHumans-data.sh script).

All of our code for this paper is open source, too! Check it out here. We analyzed time in range, TIR 70-180, time out of range, TOR >180, time below range, TBR <70 and <54, the number of hyperglycemic excursions >180. We also calculated total daily dose of insulin, average carbohydrate intake, and average carbohydrate entries per day. Then we calculated a series of variability related metrics such as Low Blood Glucose Index (LBGI), High Blood Glucose Index (HBGI), Coefficient of Variation (CV), Standard Deviation (SD), and J_index (which stresses both the importance of the mean level and variability of glycemic levels).

Results

This person already had an above-goal TIR. Standard of care goal for TIR is >70%; before PERT they had 92.12% TIR and after PERT it was 93.70%. Remember, this person is using an open source AID! TBR <54 did not change significantly, TBR <70 decreased slightly, and TOR >180 also decreased slightly.

More noticeably, the total number of unique excursions above 180 dropped from 40 (in the 4 weeks without PERT) to 26 (in 4 weeks when using PERT).

The paper itself has a few more details about average fat, protein, and carb intake and any changes. Total daily insulin was relatively similar, carb intake decreased slightly post-PERT but was trending back upward by the end of the 4 weeks. This is likely an artifact of being careful to adjust to PERT and dose effectively for PERT. The number of meals decreased but the average carb entry per meal increased, too.

What I find really interesting is the assessment we did on variability, overall and looking at specific meal times. The breakfast meal was identical during both time periods, and this is where you can really SEE visible changes pre- and post-PERT. Figure 2 (displayed below), shows the difference in the rate of change frequency. There’s less of the higher rate of changes (red) post-PERT than there is from pre-PERT (blue).

Figure 2 from GV analysis on EPI, showing lower frequency of high rate of change post-PERT

Similarly, figure 3 from the paper shows all glucose data pre- and post-PERT, and you can see the fewer excursions >180 (blue dotted line) in the post-PERT glucose data.

Figure 3 from GV analysis paper on EPI showing lower number of excursions above 180 mg/dL

Table 1 in the paper has all the raw data, and Figure 1 plots the most relevant graphs side by side so you can see pre- and post-PERT before and after after all meals on the left, versus pre and post-PERT before and after breakfast only. Look at TOR >180 and the reduction in post-breakfast levels after PERT! Similarly, HBGI post-PERT after-breakfast is noticeably different than HBGI pre-PERT after-breakfast.

Here’s a look at the HBGI for breakfast only, I’ve highlighted in purple the comparison after breakfast for pre- and post-PERT:

High Blood Glucose Index (HBGI) pre- and post-PERT for breakfast only, showing reduction in post-PERT after breakfast

Discussion

This is a paper looking at n=1 data, but it’s not really about the n=1 here. (See the awesome limitation section for more detail, where I point out it’s n=1, it’s not a clinical study, the person has ‘moderate’ EPI, there wasn’t fat/protein data from pre-PERT, it may not be representative of all people with diabetes with EPI or EPI in general.)

What this paper is about is illustrating the types of analyses that are possible, if only we would capture and analyze the data. There are gaping holes in the scientific knowledge base: unanswered and even unasked questions about what happens to blood glucose with various medications, and this data can help answer them! This data shows minimal changes to TIR but visible and significant changes to post-meal glycemic variability (especially after breakfast!). Someone who had a lower TIR or wasn’t using an open source AID may have more obvious changes in TIR following PERT commencement.

This paper shows several ways we can more easily detect efficacy of new-onset medications, whether it is enzymes for PERT or other commonly used medications for people with diabetes.

For example, we could do a similar study with metformin, looking at early changes in glycemic variability in people newly prescribed metformin. Wouldn’t it be great, as a person with diabetes, to be able to more quickly resolve the uncertainty of “is this even working?!” and not have to suffer through potential side effects for 3-6 months or longer waiting for an A1c lab test to verify whether the metformin is having the intended effects?

Specifically with regards to EPI, it can be hard for some people to tell if PERT “is working”, because they’re asymptomatic, they are relying on lab data for changes in fat soluble vitamin levels (which may take time to change following PERT commencement), etc. It can also be hard to get the dosing “right”, and there is little guidance around titrating in general, and no studies have looked at titration based on macronutrient intake, which is something else that I’m working on. So, having a method such as these types of GV analysis even for a person without diabetes who has newly discovered EPI might be beneficial: GV changes could be an earlier indicator of PERT efficacy and serve as encouragement for individuals with EPI to continue PERT titration and arrive at optimal dosing.

Conclusion

As I wrote in the paper:

It is possible to use glycemic variability to assess changes in glycemic outcomes in response to new-onset medications, such as pancreatic enzyme replacement therapy (PERT) in people with exocrine pancreatic insufficiency (EPI) and insulin-requiring diabetes. More studies should use AID and CGM data to assess changes in glycemic outcomes and variability to add to the knowledge base of how medications affect glucose levels for people with diabetes. Specifically, this n=1 data analysis demonstrates that glycemic variability can be useful for assessing post-PERT response in someone with suspected or newly diagnosed EPI and provide additional data points regarding the efficacy of PERT titration over time.

I’m super excited to continue this work and use all available datasets to help answer more questions about PERT titration and efficacy, changes to glycemic variability, and anything else we can learn. For this study, I collaborated with the phenomenal Arsalan Shahid, who serves as technology solutions lead at CeADAR (Ireland’s Centre for Applied AI at University College Dublin), who helped make this study and paper possible. We’re looking for additional collaborators, though, so feel free to reach out if you are interested in working on similar efforts or any other research studies related to EPI!

A DIY Fuel Enzyme Macronutrient Tracker for Running Ultras (Ultramarathons)

It takes a lot of energy to run ultramarathons (ultras).

To ensure they have enough fuel to complete the run, people usually want to eat X-Y calories per hour, or A-B carbs per hour, while running ultramarathons. It can be hard to know if you’re staying on top of fueling, especially as the hours drag on and your brain gets tired; plus, you can be throwing away your trash as you go so you may not have a pile of wrappers to tell you what you ate.

During training, it may be useful to have a written record of what you did for each run, so you can establish a baseline and work on improving your fueling if that’s something you want to focus on.

For me specifically, I also find it helpful to record what enzyme dosing I am taking, as I have EPI (exocrine pancreatic insufficiency, which you can read more about here) and if I have symptoms it can help me identify where my dosing might have been off from the previous day. It’s not only the amount of enzymes but also the timing that matters, alongside the timing of carbs and insulin, because I have type 1 diabetes, celiac, and EPI to juggle during runs.

Previously, I’ve relied on carb entries to Nightscout (an open source CGM remote monitoring platform which I use for visualizing diabetes data including OpenAPS data) as a record of what I ate, because I know 15g of carbs tracks to a single serving of chili cheese Fritos that are 10g of fat and 2g of protein, and I take one lipase-only and one pancrelipase (multi-enzyme) pill for that; and 21g of carbs is a Honey Stinger Gluten Free Stroopwaffle that is 6g of fat and 1g of protein, and I typically take one lipase-only. You can see from my most recent ultra (a 50k) where I manually took those carb entries and mapped them on to my blood sugar (CGM) graph to visualize what happened in terms of fuel and blood sugar over the course of my ultra.

However, that was “just” a 50k and I’m working toward bigger runs: a 50 mile, maybe a 100k (62 miles), and/or a 100 mile, which means instead of running for 7-8 hours I’ll be running for 12-14 and 24-30(ish) hours! That’s a lot of fuel to need to eat, and to keep track of, and I know from experience my brain starts to get tired of thinking about and eating food around 7 hours. So, I’ll need something better to help me keep track of fuel, enzymes, and electrolytes over the course of longer runs.

I also am planning on being well supported by my “crew” – my husband Scott, who will e-bike around the course of my ultra or my DIY ultra loops and refill my pack with water and fuel. In some cases, with a DIY ultra, he’ll be bringing food from home that I pre-made and he warms up in the microwave.

One of the strategies I want to test is for him to actually hand me the enzymes for the food he’s bringing me. For example, hand me a baggie of mashed potatoes and also hand me the one multi-enzyme (pancrelipase, OTC) pill I need to go with it. That reduces mental effort for me to look up or remember what enzyme amount I take for mashed potatoes; saves me from digging out my baggie of enzymes and having to get the pill out and swallow it, put the baggie away without dropping it, all while juggling the snack in my hands.

He doesn’t necessarily know the counts of enzymes for each fuel (although he could reproduce it, it’s better if I pre-make a spreadsheet library of my fuel options and that helps me both just pick it off a drop down and have an easy reference for him to glance at. He won’t be running 50-100 miles, but he will be waking up every 2-3 hours overnight and that does a number on his brain, too, so it’s easier all around if he can just reference the math I’ve already done!

So, for my purposes: 1) easy tracking of fuel counts for real-time “am I eating according to plan” and 2) retrospective “how did I do overall and should I do something next time” and 3) for EPI and BG analysis (“what should I do differently if I didn’t get the ideal outcome?”), it’s ideal to have a tracking spreadsheet to log my fuel intake.

Here’s what I did to build my ultimate fuel self-tracking self-populating spreadsheet:

First, I created a tab in my spreadsheet as a “Fuel Library”, where I listed out all of my fuel. This ranges from snacks (chili cheese Fritos; Honey Stinger Gluten Free Stroopwaffle; yogurt-covered pretzels, etc.); to fast-acting carbs (e.g. Airhead Minis, Circus Peanuts) that I take for fixing blood sugars; to other snack/treats like chocolate candy bars or cookies; as well as small meals and warm food, such as tomato soup or part of a ham and cheese quesadilla. (All gluten free, since I have celiac. Everything I ever write about is always gluten free!)

After I input the list of snacks, I made columns to input the sodium, calories, fat, protein, and carb counts. I don’t usually care about calories but a lot of recommendations for ultras are calories/hr and carbs/hr. I tend to be lower on the carb side in my regular daily consumption and higher on fat than most people without T1D, so I’m using the calories for ultrarunning comparison to see overall where I’m landing nutrient-wise without fixating on carbs, since I have T1D and what I personally prefer for BG management is likely different than those without T1D.

I also input the goal amount of enzymes. I have three different types of pills: a prescription pancrelipase (I call PERT, which stands for pancreatic enzyme replacement therapy, and when I say PERT I’m referring to the expensive, prescription pancrelipase that’s been tested and studied for safety and efficacy in EPI); an over-the-counter (OTC) lipase-only pill; and an OTC multi-enzyme pancrelipase pill that contains much smaller amounts of all three enzymes (lipase, protease, amylase) than my PERT but hasn’t been tested for safety and efficacy for EPI. So, I have three enzyme columns: Lipase, OTC Pancrelipase, and PERT. For each fuel I calculate which I need (usually one lipase, or a lipase plus a OTC pancrelipase, because these single servings are usually fairly low fat and protein; but for bigger meal-type foods with more protein I may ‘round up’ and choose to take a full PERT, especially if I eat more of it), and input the number in the appropriate column.

Then, I opened another tab on my spreadsheet. I created a row of headers for what I ate (the fuel); time; and then all the macronutrients again. I moved this down to row 3, because I also want to include at the top of the spreadsheet a total of everything for the day.

Example-DIY-Fuel-Enzyme-Tracker-ByDanaMLewis

In Column A, I selected the first cell (A4) for me, then went to Data > Data Validation and clicked on it. It opens this screen, which I input the following – A4 is the cell I’m in for “cell range”, the criteria is “list from a range”, and then I popped over to the tab with my ‘fuel library’ and highlighted the relevant data that I wanted to be in the menu: Food. So that was C2-C52 for my list of food. Make sure “show dropdown list in cell” is marked, because that’s what creates the dropdown in the cell. Click save.

Use the data validation section to choose to show a dropbox in each cell

You’ll want to drag that down to apply the drop-down to all the cells you want. Mine now looked like this, and you can see clicking the dropdown shows the menu to tap on.

Clicking a dropbox in the cell brings up the "menu" of food options from my Fuel Library tab

After I selected from my menu, I wanted column B to automatically put in the time. This gets obnoxious: google sheets has NOW() to put in the current time, but DO NOT USE THIS as the formula updates with the latest time any time you touch the spreadsheet.

I ended up having to use a google script (go to “Extensions” > Apps Script, here’s a tutorial with more detail) to create a function called onEdit() that I could reference in my spreadsheet. I use the old style legacy script editor in my screenshot below.

Older style app script editor for adding scripts to spreadsheet, showing the onEdit() function (see text below in post for what the script is)

Code I used, if you need to copy/paste:

function onEdit(e) {

var rr = e.range;

var ss = e.range.getSheet();

var headerRows = 2;  // # header rows to ignore

if (rr.getRow() <= headerRows) return;

var row = e.range.getRow();

var col = e.range.getColumn();

if(col == 1){

e.source.getActiveSheet().getRange(row,2).setValue(new Date());

}

}

After saving that script (File > Save), I went back to my spreadsheet and put this formula into the B column cells: =IFERROR(onEdit(),””). It fills in the current date/time (because onEdit tells it to if the A cell has been updated), and otherwise sits with a blank until it’s been changed.

Note: if you test your sheet, you’ll have to go back and paste in the formula to overwrite the date/time that gets updated by the script. I keep the formula without the “=” in a cell in the top right of my spreadsheet so I can copy/paste it when I’m testing and updating my sheet. You can also find it in a cell below and copy/paste from there as well.

Next, I wanted to populate my macronutrients on the tracker spreadsheet. For each cell in row 4, I used a VLOOKUP with the fuel name from A4 to look at the sheet with my library, and then use the column number from the fuel library sheet to reference which data element I want. I actually have things in a different order in my fuel library and my tracking sheet; so if you use my template later on or are recreating your own, pay attention to matching the headers from your tracker sheet and what’s in your library. The formula for this cell ended up being “=IFERROR(VLOOKUP(A4,’Fuel Library’!C:K,4, FALSE),””)”, again designed to leave the column blank if column A didn’t have a value, but if it does have a value, to prefill the number from Column 4 matching the fuel entry into this cell. Columns C-J on my tracker spreadsheet all use that formula, with the updated values to pull from the correctly matching column, to pre-populate my counts in the tracker spreadsheet.

Finally, the last thing I wanted was to track easily when I last ate. I could look at column B, but with a tired brain I want something more obvious that tracks how long it’s been. This also is again to maybe help Scott, who will be tasked with helping me stay on top of things, be able to check if I’m eating regularly and encourage me gently or less gently to be eating more as the hours wear on in my ultras.

I ended up creating a cell in the header that would track the last entry from column B. To do this, the formula I found is “INDEX(B4:B,MATCH(143^143,B4:B))”, which checks for the last number in column B starting in B4 and onward. It correctly pulls in the latest timestamp on the list.

Then, in another cell, I created “=NOW()-B2”, which is a good use for the NOW() formula I warned about, because it’s constantly updating every time the sheet gets touched, so that any time I go to update it’ll tell me how long it’s been since between now and the last time I ate.

But, that only updates every time I update the sheet, so if I want to glance at the sheet, it will be only from the last time I updated it… which is not what I want. To fix it, I need to change the autorefresh calculation settings. Go to File > Settings. Click “Calculations” tab, and the first drop down you want to change to be “On change and every minute”.

Under File > Settings there is a "Calculate" tab with a dropdown menu to choose to update on change plus every minute

Now it does what I want, updating that cell that uses the NOW() formula every minute, so this calculation is up to date even when the sheet hasn’t been changed!

However, I also decided I want to log electrolytes in my same spreadsheet, but not include it in my top “when did I last eat” calculator. So, I created column K and inserted the formula IF(A4=”Electrolytes”,””,B4), which checks to see if the Dropdown menu selection was Electrolytes. If so, it doesn’t do anything. If it’s not electrolytes, it repeats the B4 value, which is my formula to put the date and time. Then, I changed B2 to index and match on column K instead of B. My B2 formula now is INDEX(K4:K,MATCH(143^143,K4:K)), because K now has the food-only list of date and time stamps that I want to be tracking in my “when did I last eat” tracker. (If you don’t log electrolytes or don’t have anything else to exclude, you can keep B2 as indexing and matching on column B. But if you want to exclude anything, you can follow my example of using an additional column (my K) to check for things you do want to include and exclude the ones you don’t want. Also, you can hide columns if you don’t want to see them, so column K (or your ‘check for exclusions’ column wherever it ends up) could be hidden from view so it doesn’t distract your brain.

I also added conditional formatting to my tracker. Anytime A2, the time since eaten cell, is between 0-30 minutes, it’s green: indicating I’m on top of my fueling. 30-45 minutes it turns yellow as a warning that it’s time to eat. After 45 minutes, it’ll turn light red as a strong reminder that I’m off schedule.

I kept adding features, such as totaling my sodium consumption per hour, too, so I could track electrolytes+fuel sodium totals. Column L gets the formula =IF(((ABS((NOW()-B4))*1440)<60),F4,””) to check for the difference between the current time and the fuel entry, multiplying it by 1440 to convert to minutes and checking to see that it’s less than 60 minutes. If it is, then it prints the sodium value, and otherwise leaves it blank. (You could skip the ABS part as I was testing current, past, and future values and wanted it to stop throwing errors for future times that were calculated as negatives in the first argument). I then in C2 calculate the sum of those values for the total sodium for that hour, using =SUM(L4:L)

(I thought about tracking the past sodium per hour values to average and see how I did throughout the run on an hourly basis…but so far on my 3 long runs where I’ve used the spreadsheet, the very fact that I am using the tracker and glancing at the hourly total has kept me well on top of sodium and so I haven’t need that yet. However, if I eventually start to have long enough runs where this is an issue, I’ll probably go back and have it calculate the absolute hour sodium totals for retrospective analysis.)

This works great in the Google Sheets app on my phone, which is how I’ll be updating it during my ultras, although Scott can have it open on a browser tab when he’s at home working at his laptop. Every time I go for a long training run, I duplicate the template tab and label it with the date of the run and use it for logging my fueling.

(PS – if you didn’t know, you can rearrange the order of tabs in your sheet, so you can drag the one you want to be actively using to the left. This is useful in case the app closes on your phone and you’re re-opening the sheet fresh, so you don’t have to scroll to re-find the correct tab you want to be using for that run. In a browser, you can either drag and drop the tabs, or click the arrow next to the tab name and select “move left” or “move right”.)

Clicking the arrow to the right of a tab name in google sheets brings up a menu that includes the option to move the tab left or right

Click here to make a copy of my spreadsheet.

If you click to make a copy of a google spreadsheet, it pops up a link confirming you want to make a copy, and also might bring the app script functionality with it. If so, you can click the button to view the script (earlier in the blog post). If it doesn't include the warning about the script, remember to add the script yourself after you make a copy.

Take a look at my spreadsheet after you make a copy (click here to generate a copy if you didn’t use the previous mentioned link), and you’ll note in the README tab a few reminders to modify the fuel library and make sure you follow the steps to ensure that the script is associated with the sheet and validation is updated.

Obviously, you may not need lipase/pancrelipase/PERT and enzyme counts; if you do, your counts of enzymes needed and types of enzyme and quantity of enzymes will need updating; you may not need or want all of these macronutrients; and you’ll definitely be eating different fuel than I am, so you can update it however you like with what you’re eating and what you want to track.

This spreadsheet and the methods for building it can also be used for other purposes, such as tracking wait times or how long it took you to do something, etc.

(If you do find this blog post and use this spreadsheet concept, let me know – I’d love to hear if this is useful for you!)

2022 Strawberry Fields Forever Ultramarathon Race Report Recap

I recently ran my second-ever 50k ultramarathon. This is my attempt to provide a race recap or “race report”, which in part is to help people in the future considering this race and this course. (I couldn’t find a lot of race reports investigating this race!)

It’s also an effort to provide an example of how I executed fueling, enzyme dosing (because I have exocrine pancreatic insufficiency, known as EPI), and blood sugar management (because I have type 1 diabetes), because there’s also not a lot of practical guidance or examples of how people do this. A lot of it is individual, and what works for me won’t necessarily work for anyone, but if anything hopefully it will help other people feel not alone as they work to figure out what works for them!

Context of my running and training in preparation

I wrote quite a bit in this previous post about my training last year for a marathon and my first 50k. Basically, I’m slow, and I also choose to run/walk for my training and racing. This year I’ve been doing 30:60 intervals, meaning I run 30 seconds and walk 60 seconds.

Due to a combination of improved training (and having a year of training last year), as well as now having recognized I was not getting sufficient pancreatic enzymes so that I was not digesting and using the food I was eating effectively, this year has been going really well. I ended up training as far as a practice 50k about 5 weeks out from my race. I did several more mid- to high-20 mile runs as well. I also did a next-day run following my long runs, starting around 3-4 miles and eventually increasing to 8 miles the day after my 50k. The goal of these next-day runs was to practice running on tired legs.

Overall, I think this training was very effective for me. My training runs were easy paced, and I always felt like I could run more after I was done. I recovered well, and the next-day runs weren’t painful and I did not have to truncate or skip any of those planned runs. (Previous years, running always felt hard and I didn’t know what it was like to recover “well” until this year.) My paces also increased to about a minute/mile faster than last year’s easy pace. Again, that’s probably a combination of increased running overall and better digestion and recovery.

Last year I chose to run a marathon and then do a 50k while I was “trained up” for my marathon. This year, I wanted to do a 50k as a fitness assessment on the path to a 50 mile race this fall. I looked for local-ish 50k options that did not have much elevation, and found the Strawberry Fields Forever Ultra.

Why I chose this race, and the basics about this race

The Strawberry Fields Forever Ultra met most of my goal criteria, including that it was around the time that I wanted to run a 50k, so that I had almost 6 months to train and also before it got to be too hot and risked being during wildfire smoke season. (Sadly, that’s a season that now overlaps significantly with the summers here.) It’s local-ish, meaning we could drive to it, although we did spend the night before the race in the area just to save some stress the morning of the race. The race nicely started at 9am, and we drove home in the evening after the race.

The race is on a 10k (6.2 miles) looped course in North Bonneville, Washington, and hosted a 10k event (1 lap), a 50k event (5 laps), and also had 100k (10 laps) or (almost) 100 miles (16 laps). It does have a little bit of elevation – or “little” by ultramarathon standards. The site and all reports describe one hill and net 200 feet of elevation gain and loss. I didn’t love the idea of a 200 foot hill, but thought I could make do. It also describes the course as “grass and dirt” trails. You’ll see a map later where I’ve described some key points on the course, and it’s also worth noting that this course is very “crew-able”. Most people hang out at the start/finish, since it’s “just” a 10k loop and people are looping through pretty frequently. However, if you want to, either for moral or practical support, crew could walk over to various points, or my husband brought his e-bike and biked around between points on the course very easily using a mix of the other trails and actual roads nearby.

The course is well marked. Any turn had a white sign with a black arrow on it and also white arrows drawn on the ground, and there were dozens of little red/pink fluorescent flags marking the course. Any time there was a fork in the path, these flags (usually 2-3 for emphasis, which was excellent for tired brains) would guide you to the correct direction.

The nice thing about this race is it includes the 100 mile option and that has a course limit of 30 hours, which means all the other distances also have this course limit of 30 hours. That’s fantastic when a lot of 50k or 50 mile (or 100k, which is 62 miles) courses might have 12 hour or similar tighter course limits. If you wanted to have a nice long opportunity to cover the distance, with the ability to stop and rest (or nap/sleep), this is a great option for that.

With the 50k, I was aiming to match or ideally beat my time from my first 50k, recognizing that this course is harder given the terrain and hill. However, I think my fitness is higher, so beating that time even with the elevation gain seemed reasonable.

Special conditions and challenges of the 2022 Strawberry Fields Forever Ultramarathon

It’s worth noting that in 2021 there was a record abnormal heat wave due to a “heat dome” that made it 100+ degrees (F) during the race. Yikes. I read about that and I am not willing to run a race when I have not trained for that type of heat (or any heat), so I actually waited until the week before the race to officially sign up after I saw the forecast for the race. The forecast originally was 80 F, then bounced around mid 60s to mid 70s, all of which seemed doable. I wouldn’t mind some rain during the race, either, as rainy 50s and 60s is what I’ve been training in for months.

But just to make things interesting, for the 2022 event the Pacific Northwest got an “atmospheric river” that dumped inches of rain on Thursday..and Friday. Gulp. Scott and I drove down to spend the night Friday night before the race, and it was dumping hard rain. I began to worry about the mud that would be on the course before we even started the race. However, the rain finished overnight and we woke up to everything being wet, but not actively raining. It was actually fairly warm (60s), so even if it drizzled during the race it wouldn’t be chilly.

During the start of the race, the race director said we would get wet and joked (I thought) about practicing our backstroke. Then the race started, and we took off.

My race recap / race report the 2022 Strawberry Fields Forever Ultramarathon

I’ve included a picture below that I was sent a month or so before the race when I asked for a course map, and a second picture because I also asked for the elevation profile. I’ve marked with letters (A-I) points on the course that I’ll describe below for reference, and we ran counterclockwise this year so the elevation map I’ve marked with matching letters where “A” is on the right and “I” is on the left, matching how I experienced the course.

The course is slightly different in the start/finish area, but otherwise is 95% matching what we actually ran, so I didn’t bother grabbing my actual course map from my run since this one was handy and a lot cleaner than my Runkeeper-derived map of the race.

Annotated course map with points A-I
StrawberryFieldsForever-Ultra-Elevation-Profile

My Runkeeper elevation profile of the 50k (5 repeated laps) looked like this:
Runkeeper elevation profile of 5 loops on the Strawberry Fields Forever 50k course

I’ll describe my first experience through the course (Lap 1) in more detail, then a couple of thoughts about the experiences of the subsequent laps, in part to describe fueling and other choices I made.

Lap 1:

We left the start by running across the soccer field and getting on a paved path that hooked around the ballfield and then headed out a gate and up The Hill. This was the one hill I thought was on the course. I ran a little bit and passed a few people who walked on a shallower slope, then I also converted to a walk for the rest of the hill. It was the most crowded race start I’ve done, because there were so many people (150 across the 10k, 50k, 100k, and 100 miler) and such a short distance between the start and this hill. The Hill, as I thought of it, is point A on the course map.

Luckily, heading up the hill there are gorgeous purple wildflowers along the path and mountain views. At the top of the hill there are some benches at the point where we took a left turn and headed down the hill, going down the same elevation in about half a mile so it was longer than the uphill section. This downhill slope (B) was very runnable and gravel covered, whereas going up the hill was more dirt and mud.

At the bottom of the hill, there was a hairpin turn and we turned and headed back up the hill, although not all the way up, and more along a plateau in the side of the hill. The “plateau” is point C on the map. I thought it would be runnable once I got back up the initial hill, but it was mud pit after mud pit, and I would have two steps of running in between mud pits to carefully walk through. It was really frustrating. I ended up texting to my parents and Scott that it was about 1.7 miles of mud (from the uphill, and the plateau) before I got to some gravel that was more easily runnable. Woohoo for gravel! This was a nice, short downhill slope (D) before we flattened out and switched back to dirt and more mud pits.

This was the E area, although it did feel more runnable than the plateau because there were longer stretches between muddy sections.

Eventually, we saw the river and came out from the trail into a parking lot and then jogged over onto the trail that parallels the river for a while. This trail that I thought of as “River Road” (starting around point F) is just mowed grass and is between a sharp bluff drop with opening where people would be down at the river fishing, and in some cases we were running *underneath* fishing lines from the parking spots down to the river! There were a few people who would be walking back and forth from cars to the river, but in general they were all very courteous and there was no obstruction of the trail. Despite the mowed grass aspect of the trail, this stretch physically and psychologically felt easier because there were no mud pits for 90% of it. Near the end there were a few muddy areas right about the point we hopped back over into the road to connect up a gravel road for a short spurt.

This year, the race actually put a bonus aid station out here. I didn’t partake, but they had a tent up with two volunteers who were cheerful and kind to passing runners, and it looked like they had giant things of gatorade or water, bottled water, and some sugared soda. They probably had other stuff, but that’s just what I saw when passing.

After that short gravel road bit, we turned back onto a dirt trail that led us to the river. Not the big river we had been running next to, but the place where the Columbia River overflowed the trail and we had to cross it. This is what the race director meant by practicing our backstroke.

You can see a video in this tweet of how deep and far across you had to get in this river crossing (around point G, but hopefully in future years this isn’t a point of interest on the map!!)

Showing a text on my watch of my BIL warning me about a river crossing

Coming out of the river, my feet were like blocks of ice. I cheered up at the thought that I had finished the wet feet portion of the course and I’d dry off before I looped back around and hit the muddy hill and plateau again. But, sadly, just around the next curve, came a mud POND. Not a pit, a pond.

Showing how bad the mud was

Again, ankle deep water and mud, not just once but in three different ponds all within 30 seconds or so of each other. It was really frustrating, and obviously you can’t run through them, so it slowed you down.

Then finally after the river crossing and the mud ponds, we hooked a right into a nice, forest trail that we spent about a mile and a half in (point H). It had a few muddy spots like you would normally expect to get muddy on a trail, but it wasn’t ankle deep or water filled or anything else. It was a nice relief!

Then we turned out of the forest and crossed a road and headed up one more (tiny, but it felt annoying despite how small it looks on the elevation profile) hill (point I), ran down the other side of that slope, stepped across another mud pond onto a pleasingly gravel path, and took the gravel path about .3 miles back all the way to complete the first full lap.

Phew.

I actually made pretty good time the first loop despite not knowing about all the mud or river crossing challenges. I was pleased with my time which was on track with my plan. Scott took my pack about .1 miles before I entered the start/finish area and brought it back to me refilled as I exited the start/finish area.

Lap 2:

The second lap was pretty similar. The Hill (A) felt remarkably harder after having experienced the first loop. I did try to run more of the downhill (B) as I recognized I’d make up some time from the walking climb as well as knowing I couldn’t run up the plateau or some of the mud pits along the plateau (C) as well as I had expected. I also decided running in the mud pits didn’t work, and went with the safer approach of stepping through them and then running 2 steps in between. I was a little slower this time, but still a reasonable pace for my goals.

The rest of the loop was roughly the same as the first, the mud was obnoxious, the river crossing freezing, the mud obnoxious again, and relief at running through the forest.

Scott met me at the end of the river road and biked along the short gravel section with me and went ahead so he could park his bike and take video of my second river crossing, which is the video above. I was thrilled to have video of that, because the static pictures of the river crossing didn’t feel like it did the depth and breadth of the water justice!

At the end of lap 2, Scott grabbed my pack again at the end of the loop and said he’d figured out where to meet me to give it back to me after the hill…if I wanted that. Yes, please! The bottom of the hill where you hairpin turn to go back up the plateau is the 1 mile marker point, so that means I ran the first mile of the third lap without my pack, and not having the weight of my full pack (almost 3L of water and lots of snacks and supplies: more on that pack below) was really helpful for my third time up the hill. He met me as planned at the bottom of the downhill (B) and I took my pack back which made a much nicer start to lap 3.

Lap 3:

Lap 3 for some reason I came out of the river crossing and the mud ponds feeling like I got extra mud in my right shoe. It felt gritty around the right side of my right food, and I was worried about having been running for so many hours with soaked feet. I decided to stop at a bench in the forest section and swap for dry socks. In retrospect, I wish I had stopped somewhere else, because I got swarmed by these moth/gnat/mosquito things that looked gross (dozens on my leg within a minute of sitting there) that I couldn’t brush off effectively while I was trying to remove my gaiters, untie my shoes, take my shoes off, peel my socks and bandaids and lambs wool off, put lubrication back on my toes, put more lambs wool on my toes, put the socks and shoes back on, and re-do my gaiters. Sadly, it took me 6 minutes despite me moving as fast as I could to do all of those things (this was a high/weirdly designed bench in a shack that looked like a bus stop in the middle of the woods, so it wasn’t the best way to sit, but I thought it was better than sitting on the ground).

(The bugs didn’t hurt me at the time, but two days later my dozens of bites all over my leg are red and swollen, though thankfully they only itch when they have something chafing against them.)

Anyway, I stood up and took off again and was frustrated knowing that it had taken 6 minutes and basically eaten the margin of time I had against my previous 50k time. I saw Scott about a quarter of a mile later, and I saw him right as I realized I had also somewhere lost my baggie of electrolyte pills. Argh! I didn’t have back up for those (although I had given Scott backups of everything else), so that spiked my stress levels as I was due for some electrolytes and wasn’t sure how I’d do with 3 or so more hours without them.

I gave Scott my pack and tasked him with checking my brother-in-law’s setup to see if he had spare electrolytes, while he was refilling my pack to give me in lap 4.

Lap 4:

I was pretty grumpy given the sock timing and the electrolyte mishap as I headed into lap 4. The hill still sucked, but I told myself “only one more hill after this!” and that thought cheered me up.

Scott had found two electrolyte options from my brother-in-law and brought those to me at the end of mile 1 (again, bottom of B slope) with my pack. He found two chewable and two swallow pills, so I had options for electrolytes. I chewed the first electrolyte tab as I headed up the plateau, and again talked myself through the mud pits with “only one more time through the mud pits after this!”.

I also tried overall to bounce back from the last of mile 4 where I let myself get frustrated, and try to take more advantage of the runnable parts of the course. I ran downhill (B) more than the previous laps, mostly ignoring the audio cues of my 30:60 intervals and probably running more like 45:30 or so. Similarly, the downhill gravel after the mud pits (D) I ran most of without paying attention to the audio run cues.

Scott this time also met me at the start of the river road section, and I gave him my pack again and asked him to take some things out that he had put in. He put in a bag with two pairs of replacement socks instead of just one pair of socks, and also put in an extra beef stick even though I didn’t ask for it. I asked him to remove it, and he did, but explained he had put it in just in case he didn’t find the electrolytes because it had 375g of sodium. (Sodium is primarily the electrolyte I am sensitive to and care most about). So this was actually a smart thing, although because I haven’t practiced eating larger amounts of protein and experienced enzyme dosing for it on the run, I would be pretty nervous about eating it in a race, so that made me a bit unnecessarily grumpy. Overall though, it was great to see him extra times on the course at this point, and I don’t know if he noticed how grumpy I was, but if he did he ignored it and I cheered up again knowing I only had “one more” of everything after this lap!

The other thing that helped was he biked my pack down the road to just before the river crossing, so I ran the river road section like I did lap 3 and 4 on the hill, without a pack. This gave me more energy and I found myself adding 5-10 seconds to the start of my run intervals to extend them.

The 4th river crossing was no less obnoxious and cold, but this time it and the mud ponds didn’t seem to embed grit inside my shoes, so I knew I would finish with the same pair of socks and not need another change to finish the race.

Lap 5:

I was so glad I was only running the 50k so that I only had 5 laps to do!

For the last lap, I was determined to finish strong. I thought I had a chance of making up a tiny bit of the sock change time that I had lost. I walked up the hill, but again ran more than my scheduled intervals downhill, grabbed my bag from Scott, picked my way across the mud pits for the final time (woohoo!), ran the downhill and ran a little long and more efficiently on the single track to the river road.

Scott took my pack again at the river road, and I swapped my intervals to be 30:45, since I was already running closer to that and I knew I only had 3.5 or so miles to go. I took my pack back at the end of river road and did my last-ever ice cold river crossing and mud pond extravaganza. After I left the last mud pond and turned into the forest, I switched my intervals to 30:30. I managed to keep my 30:30 intervals and stayed pretty quick – my last mile and a half was the fastest of the entire race!

I came into the finish line strong, as I had hoped to finish. Woohoo!

Overall strengths and positives from the race

Overall, running-wise I performed fairly well. I had a strong first lap and decent second lap, and I got more efficient on the laps as I went, staying focused and taking advantage of the more runnable parts of the course. I finished strong, with 30:45 intervals for over a mile and 30:30 intervals for over a mile to the finish.

Also, I didn’t quit after experiencing the river crossing and the mud ponds and the mud pits of the first lap. This wasn’t an “A” race for me or my first time at the distance, so it would’ve been really easy to quit. I probably didn’t in part because we did pay to spend the night before and drove all that way, and I didn’t want to have “wasted” Scott’s time by quitting, when I was very capable of continuing and wasn’t injured. But I’m proud of mostly the way I handled the challenges of the course, and for how I readjusted from the mental low and frustration after realizing how long my sock change took in lap 3. I’m also pleased that I didn’t get injured, given the terrain (mud, river crossing, and uneven grass to run on for most of the course). I’m also pleased and amazed I didn’t hurt my feet, cause major blisters, or have anything really happen to them after hours of wet, muddy, never-drying-off feet.

The huge positive was my fueling, electrolytes, and blood glucose management.

I started taking my electrolyte pills that have 200+mg of sodium at about 45 minutes into the race, on schedule. My snack choices also have 100-150mg of sodium, which allowed me to not take electrolyte pills as often as I would otherwise need to (or on a hotter day with more sweat – it was a damp, mid-60s day but I didn’t sweat as much as I usually do). But even with losing my electrolytes, I used two chewable 100mg sodium electrolytes instead and otherwise ended up with sufficient electrolytes. Even with ideal electrolyte supplementation, I’m very sensitive to sodium losses and am a salty sweater, and I have a distinct feeling when my electrolytes are insufficient, so not having that feeling during after the race was a big positive for me.

So was my fueling overall. The race started at 9am, and I woke up at 6am to eat my usual pre-race breakfast (a handful of pecans, plus my enzyme supplementation) so that it would both digest effectively and also be done hitting my blood sugar by the time the race started. My BGs were flat 120s or 130s when I started, which is how I like them. I took my first snack about an hour and 10 minutes into the race, which is about 15g carb (10g fat, 2g protein) of chili cheese flavored Fritos. For this, I didn’t dose any insulin as I was in range, and I took one lipase-only enzyme (which covers about 8g of fat for me) and one multi-enzyme (that covers about 6g of fat and probably over a dozen grams of protein). My second snack was an hour later, when I had a gluten free salted caramel Honey Stinger stroopwaffle (21g carb, 6 fat, 1 protein). For the stroopwaffle I ended up only taking a lipase-only pill to cover the fat, even though there’s 1g of protein. For me, I seem to be ok (or have no symptoms) from 2-3g of uncovered fat and 1-2g of uncovered protein. Anything more than that I like to dose enzymes for, although it depends on the situation. Throughout the day, I always did 1 lipase-only and 1 multi-enzyme for the Fritos, and 1 lipase-only for the stroopwaffle, and that seemed to work fine for me. I think I did a 0.3u (less than a third of the total insulin I would normally need) bolus for my stroopwaffle because I was around 150 mg/dL at the time, having risen following my un-covered Frito snack, and I thought I would need a tiny bit of insulin. This was perfect, and I came back down and flattened out. An hour and 20 minutes after that, I did another round of Fritos. An hour or so after that, a second stroopwaffle – but this time I didn’t dose any insulin for it as my BG was on a downward slope. An hour later, more Fritos. A little bit after that, I did my one single sugar-only correction (an 8g carb Airhead mini) as I was still sliding down toward 90 mg/dL, and while that’s nowhere near low, I thought my Fritos might hit a little late and I wanted to be sure I didn’t experience the feeling of a low. This was during the latter half of loop 4 when I was starting to increase my intensity, so I also knew I’d likely burn a little more glucose and it would balance out – and it did! I did one last round of Fritos during lap 5.
CGM graph during 50k ultramarathon

This all worked perfectly. I had 100% time in range between 90 and 150 mg/dL, even with 102g of “real food” carbs (15g x 4 servings of Fritos, 21g x 2 waffles), and one 8g Airhead mini, so in total I had 110g grams of carbs across ~7+ hours. This perfectly matched my needs with my run/walk moderate efforts.

BG and carb intake plotted along CGM graph during 50k ultramarathon

I also nailed the enzymes, as during the race I didn’t have any GI-related symptoms and after the race and the next day (which is the ultimate verdict for me with EPI), no symptoms.

So it seems like my practice and testing with low carbs, Fritos, and waffles worked out well! I had a few other snacks in my pack (yogurt-covered pretzels, peanut butter pretzel nuggets), but I never thought of wanting them or wanting something different. I did plan to try to do 2 snacks per hour, but I ended up doing about 1 per hour. I probably could have tolerated more, but I wasn’t hungry, my BGs were great, and so although it wasn’t quite according to my original plan I think this was ideal for me and my effort level on race day.

The final thing I think went well was deciding on the fly after loop 2 to have Scott take my pack until after the hill (so I ran the up/downhill mile without it), and then for additional stretches along river road in laps 4 and 5. I had my pocket of my shorts packed with dozens of Airheads and mints, so I was fine in terms of blood sugar management and definitely didn’t need things for a mile at a time. I’m usually concerned about staying hydrated and having water whenever I want to sip, plus for swallowing electrolytes and enzyme pills to go with my snacks, but I think on this course with the number of points Scott could meet me (after B, at F all through G, and from I to the finish), I could have gotten away with not having my pack the whole time; having WAY less water in the pack (I definitely didn’t need to haul 3L the whole time, that was for when I might not see Scott every 2-3 laps) and only one of each snack at a time.

Areas for improvement from my race

I trained primarily on gravel or paved trails and roads, but despite the “easy” elevation profile and terrain, this was essentially my first trail ultra. I coped really well with the terrain, but the cognitive burden of all the challenges (Mud pits! River crossing! Mud ponds!) added up. I’d probably do a little more trail running and hills (although I did some) in the final weeks before the race to help condition my brain a little more.

I’ll also continue to practice fueling so I can eat more regularly than every hour to an hour and a half, even though this was the most I’ve ever eaten during a run, I did well with the quantities, and my enzyme and BG management were also A+. But I didn’t eat as much as I planned for, and I think that might’ve helped with the cognitive fatigue, too, by at least 5-10%.

I also now have the experience of a “stop” during a race, in this case to swap my socks. I’ve only run one ultra and never stopped before to do gear changes, so that experience probably was sufficient prep for future stops, although I do want to be mentally stronger/less frustrated by unanticipated problem solving stops.

Specific to this course, as mentioned above, I could’ve gotten away with less supplies – food and water – in my pack. I actually ran a Ragnar relay race with a group of fellow T1s a few years back where I finished my run segment and…no one was there to meet me. They went for Starbucks and took too long to get there, so I had to stand in the finishing chute waiting for 10-15 minutes until someone showed up to start the next run leg. Oh, and that happened in two of the three legs I ran that day. Ooof. Standing there tired, hot, with nothing to eat or drink, likely added to my already life-with-type-1-diabetes-driven-experiences of always carrying more than enough stuff. But I could’ve gotten away very comfortably with carrying 1L of water and one set of each type of snacks at a time, given that Scott could meet me at 1 mile (end of B), start (F) and end of river road (before G), and at the finish, so I would never have been more than 2-2.5 miles without a refill, and honestly he could’ve gotten to every spot on the trail barring the river crossing bit to meet me if I was really in need of something. Less weight would’ve made it easier to push a little harder along the way. Basically, I carried gear like I was running a solo 30 mile effort at a time, which was safe but not necessary given the course. If I re-ran this race, I’d feel a lot more comfortable with minimal supplies.

Surprises from my race

I crossed the finish line, stopped to get my medal, then was waiting for my brother-in-law to finish another lap (he ran the 100k: 62 miles) before Scott and I left. I sat down for 30 minutes and then walked to the car, but despite sitting for a while, I was not as stiff and sore as I expected. And getting home after a 3.5 hour car ride…again I was shocked at how minimally stiff I was walking into the house. The next morning? More surprises at how little stiff and sore I was. By day 3, I felt like I had run a normal week the week prior. So in general, I think this is reinforcement that I trained really well for the distance and my long runs up to 50k and the short to medium next day runs also likely helped. I physically recovered well, which is again part training but also probably better fueling during the race, and of course now digesting everything that I ate during and after the race with enzyme supplementation for EPI!

However, the interesting (almost negative, but mostly interesting) thing for me has been what I perceived to be adrenal-type fatigue or stress hormone fatigue. I think it’s because I was unused to focusing on challenging trail conditions for so many hours, compared to running the same length of hours on “easy” paved or gravel trails. I actually didn’t listen to an audiobook, music, or podcast for about half of the race, because I was so stimulated by the course itself. What I feel is adrenal fatigue isn’t just being physically or mentally tired but something different that I haven’t experienced before. I’m listening to my body and resting a lot, and I waited until day 4 to do my first easy, slow run with much longer walk intervals (30s run, 90s walk instead of my usual 30:60). Day 1 and 2 had a lot of fatigue and I didn’t feel like doing much, Day 3 had notable improvement on fatigue and my legs and body physically felt back to normal for me. Day 4 I ran slowly, Day 5 I stuck with walking and felt more fatigue but no physical issues, Day 6 again I chose to walk because I didn’t feel like my energy had fully returned. I’ll probably stick with easy, longer walk interval runs for the next week or two with fewer days running until I feel like my fatigue is gone.

General thoughts about ultramarathon training and effective ultra race preparation

I think preparation makes a difference in ultramarathon running. Or maybe that’s just my personality? But a lot of my goal for this race was to learn what I could about the course and the race setup, imagine and plan for the experience I wanted, plan for problem solving (blisters, fuel, enzymes, BGs, etc), and be ready and able to adapt while being aware that I’d likely be tired and mentally fatigued. Generally, any preparation I could do in terms of deciding and making plans, preparing supplies, etc would be beneficial.

Some of the preparation included making lists in the weeks prior about the supplies I’d need in my pack, what Scott should have to refill my pack, what I’d need the night and morning before since we would not be at home, and after-race supplies for the 3.5h drive home.

From the lists, the week before the race I began grouping things. I had my running pack filled and ready to go. I packed my race outfit in a gallon bag, a full set of backup clothes in another gallon bag and labeled them, along with a separate post-run outfit and flip flops for the drive home. I also included a washcloth for wiping sweat or mud off after the run, and I certainly ended up needing that! I packed an extra pair of shoes and about 4 extra pairs of socks. I also had separate baggies with bandaids of different sizes, pre-cut strips of kinesio tape for my leg and smaller patches for blisters, extra squirrel nut butter sticks for anti-chafing purposes, as well as extra lambs wool (that I lay across the top of my toes to prevent socks from rubbing when they get wet from sweat or…river crossings, plus I can use it for padding between my toes or other blister-developing spots). I had sunscreen, bug spray, sungless, rain hat, and my sunny-weather running visor that wicks away sweat. I had low BG carbs for me to put in my pockets, a backup bag for Scott to refill, and a backup to the backup. The same for my fuel stash: my backpack was packed, I packed a small baggie for Scott as well as a larger bag with 5-7 of everything I thought I might want, and also an emergency backup baggie of enzymes.

*The only thing I didn’t have was a backup baggie of electrolyte pills. Next time, I’ll add this to my list and treat them like enzymes to make sure I have a separate backup stash.

I even made a list and gave it to Scott that mapped out where key things were for during and after the race. I don’t think he had to use it, because he was only digging through the snack bag for waffles and Fritos, but I did that so I didn’t have to remember where I had put my extra socks or my spare bandaids, etc. He basically had a map of what was in each larger bag. All of this was to reduce the decision and communication because I knew I’d have decision fatigue.

This also went for post-race planning. I told Scott to encourage me to change clothes, and it was worth the energy to change so I didn’t sit in cold, wet clothes for the long drive home. I pre-made a gluten free ham and cheese quesadilla (take two tortillas, fill with shredded cheese and slices of ham, microwave, cut into quarters, stick in baggies, mark with fat/protein/carb counts, and refrigerate) so we could warm that up in the car (this is what I use) so I had something to eat on the way home that wasn’t more Fritos or waffles. I didn’t end up wanting it, but I also brought a can of beef stew with carrots and potatoes, that I generally like as a post-race or post-run meal, and a plastic container and a spoon so I could warm up the stew if I wanted it. Again, all of this pre-planned and put on the list weeks prior to the race so I didn’t forget things like the container or the spoon.

The other thing I think about a lot is practicing everything I want to do for a race during a training run. People talk about eating the same foods, wearing the same clothes, etc. I think for those of us with type 1 diabetes (or celiac, EPI, or anything else), it’s even more important. With T1D, it’s so helpful to have the experience adjusting to changing BG levels and knowing what to do when you’re dropping or low and having a snack, vs in range and having a fueling snack, or high and having a fueling snack. I had 100% TIR during this run, but I didn’t have that during all of my training runs. Sometimes I’d plateau around 180 mg/dL and be over-cautious and not bring my BGs down effectively; other times I’d overshoot and cause a drop that required extra carbs to prevent or minimize a low. Lots of practice went into making this 100% TIR day happen, and some of it was probably a bit of luck mixed in with all the practice!

But generally, practice makes it a lot easier to know what to do on the fly during a race when you’re tired, stressed, and maybe crossing an icy cold river that wasn’t supposed to be part of your course experience. All that helps you make the best possible decisions in the weirdest of situations. That’s the best you can hope for with ultrarunning!

Findings from the world’s first RCT on open source AID (the CREATE trial) presented at #ADA2022

September 7, 2022 UPDATEI’m thrilled to share that the paper with the primary outcomes from the CREATE trial is now published. You can find it on the journal site here, or view an author copy here. You can also see a Twitter thread here, if you are interested in sharing the study with your networks.

Example citation:

Burnside, M; Lewis, D; Crocket, H; et al. Open-Source Automated Insulin Delivery in Type 1 Diabetes. N Engl J Med 2022;387:869-81. DOI:10.1056/NEJMoa2203913


(You can also see a previous Twitter thread here summarizing the study results, if you are interested in sharing the study with your networks.)

TLDR: The CREATE Trial was a multi-site, open-labeled, randomized, parallel-group, 24-week superiority trial evaluating the efficacy and safety of an open-source AID system using the OpenAPS algorithm in a modified version of AndroidAPS. Our study found that across children and adults, the percentage of time that the glucose level was in the target range of 3.9-10mmol/L [70-180mg/dL] was 14 percentage points higher among those who used the open-source AID system (95% confidence interval [CI], 9.2 to 18.8; P<0.001) compared to those who used sensor augmented pump therapy; a difference that corresponds to 3 hours 21 minutes more time spent in target range per day. The system did not contribute to any additional hypoglycemia. Glycemic improvements were evident within the first week and were maintained over the 24-week trial. This illustrates that all people with T1D, irrespective of their level of engagement with diabetes self-care and/or previous glycemic outcomes, stand to benefit from AID. This study concluded that open-source AID using the OpenAPS algorithm within a modified version of AndroidAPS, a widely used open-source AID solution, is efficacious and safe.

The backstory on this study

We developed the first open source AID in late 2014 and shared it with the world as OpenAPS in February 2015. It went from n=1 to (n=1)*2 and up from there. Over time, there were requests for data to help answer the question “how do you know it works (for anybody else)?”. This led to the first survey in the OpenAPS community (published here), followed by additional retrospective studies such as this one analyzing data donated by the community,  prospective studies, and even an in silico study of the algorithm. Thousands of users chose open source AID, first because there was no commercial AID, and later because open source AID such as the OpenAPS algorithm was more advanced or had interoperability features or other benefits such as quality of life improvements that they could not find in commercial AID (or because they were still restricted from being able to access or afford commercial AID options). The pile of evidence kept growing, and each study has shown safety and efficacy matching or surpassing commercial AID systems (such as in this study), yet still, there was always the “but there’s no RCT showing safety!” response.

After Martin de Bock saw me present about OpenAPS and open source AID at ADA Scientific Sessions in 2018, we literally spent an evening at the dinner table drawing the OpenAPS algorithm on a napkin at the table to illustrate how OpenAPS works in fine grained detail (as much as one can do on napkin drawings!) and dreamed up the idea of an RCT in New Zealand to study the open source AID system so many were using. We sought and were granted funding by New Zealand’s Health Research Council, published our protocol, and commenced the study.

This is my high level summary of the study and some significant aspects of it.

Study Design:

This study was a 24-week, multi-centre randomized controlled trial in children (7–15 years) and adults (16–70 years) with type 1 diabetes comparing open-source AID (using the OpenAPS algorithm within a version of AndroidAPS implemented in a smartphone with the DANA-i™ insulin pump and Dexcom G6® CGM), to sensor augmented pump therapy. The primary outcome was change in the percent of time in target sensor glucose range (3.9-10mmol/L [70-180mg/dL]) from run-in to the last two weeks of the randomized controlled trial.

  • This is a LONG study, designed to look for rare adverse events.
  • This study used the OpenAPS algorithm within a modified version of AndroidAPS, meaning the learning objectives were adapted for the purpose of the study. Participants spent at least 72 hours in “predictive low glucose suspend mode” (known as PLGM), which corrects for hypoglycemia but not hyperglycemia, before proceeding to the next stage of closed loop which also then corrected for hyperglycemia.
  • The full feature set of OpenAPS and AndroidAPS, including “supermicroboluses” (SMB) were able to be used by participants throughout the study.

Results:

Ninety-seven participants (48 children and 49 adults) were randomized.

Among adults, mean time in range (±SD) at study end was 74.5±11.9% using AID (Δ+ 9.6±11.8% from run-in; P<0.001) with 68% achieving a time in range of >70%.

Among children, mean time in range at study end was 67.5±11.5% (Δ+ 9.9±14.9% from run-in; P<0.001) with 50% achieving a time in range of >70%.

Mean time in range at study end for the control arm was 56.5±14.2% and 52.5±17.5% for adults and children respectively, with no improvement from run-in. No severe hypoglycemic or DKA events occurred in either arm. Two participants (one adult and one child) withdrew from AID due to frustrations with hardware issues.

  • The pump used in the study initially had an issue with the battery, and there were lots of pumps that needed refurbishment at the start of the study.
  • Aside from these pump issues, and standard pump site/cannula issues throughout the study (that are not unique to AID), there were no adverse events reported related to the algorithm or automated insulin delivery.
  • Only two participants withdrew from AID, due to frustration with pump hardware.
  • No severe hypoglycemia or DKA events occurred in either study arm!
  • In fact, use of open source AID improved time in range without causing additional hypoglycemia, which has long been a concern of critics of open source (and all types of) AID.
  • Time spent in ‘level 1’ and ‘level 2’ hyperglycemia was significantly lower in the AID group as well compared to the control group.

In the primary analysis, the mean (±SD) percentage of time that the glucose level was in the target range (3.9 – 10mmol/L [70-180mg/dL]) increased from 61.2±12.3% during run-in to 71.2±12.1% during the final 2-weeks of the trial in the AID group and decreased from 57.7±14.3% to 54±16% in the control group, with a mean adjusted difference (AID minus control at end of study) of 14.0 percentage points (95% confidence interval [CI], 9.2 to 18.8; P<0.001). No age interaction was detected, which suggests that adults and children benefited from AID similarly.

  • The CREATE study found that across children and adults, the percentage of time that the glucose level was in the target range of 3.9-10mmol/L [70-180mg/dL] was 14.0 percentage points higher among those who used the open-source AID system compared to those who used sensor augmented pump therapy.
  • This difference reflects 3 hours 21 minutes more time spent in target range per day!
  • For children AID users, they spent 3 hours 1 minute more time in target range daily (95% CI, 1h 22m to 4h 41m).
  • For adult AID users, they spent 3 hours 41 minutes more time in target range daily (95% CI, 2h 4m to 5h 18m).
  • Glycemic improvements were evident within the first week and were maintained over the 24-week trial. Meaning: things got better quickly and stayed so through the entire 24-week time period of the trial!
  • AID was most effective at night.
Difference between control and AID arms overall, and during day and night separately, of TIR for overall, adults, and kids

One thing I think is worth making note of is that one criticism of previous studies with open source AID is regarding the self-selection effect. There is the theory that people do better with open source AID because of self-selection and self-motivation. However, the CREATE study recruited a diverse cohort of participants, and the study findings (as described above) match all previous reports of safety and efficacy outcomes from previous studies. The CREATE study also found that the greatest improvements in TIR were seen in participants with lowest TIR at baseline. This means one major finding of the CREATE study is that all people with T1D, irrespective of their level of engagement with diabetes self-care and/or previous glycemic outcomes, stand to benefit from AID.

This therefore means there should be NO gatekeeping by healthcare providers or the healthcare system to restrict AID technology from people with insulin-requiring diabetes, regardless of their outcomes or experiences with previous diabetes treatment modalities.

There is also no age effect observed in the trail, meaning that the results of the CREATE Trial demonstrated that open-source AID is safe and effective in children and adults with type 1 diabetes. If someone wants to use open source AID, they would likely benefit, regardless of age or past diabetes experiences. If they don’t want to use open source AID or commercial AID…they don’t have to! But the choice should 100% be theirs.

In summary:

  • The CREATE trial was the first RCT to look at open source AID, after years of interest in such a study to complement the dozens of other studies evaluating open source AID.
  • The conclusion of the CREATE trial is that open-source AID using the OpenAPS algorithm within a version of AndroidAPS, a widely used open-source AID solution, appears safe and effective.
  • The CREATE trial found that across children and adults, the percentage of time that the glucose level was in the target range of 3.9-10mmol/L [70-180mg/dL] was 14.0 percentage points higher among those who used the open-source AID system compared to those who used sensor augmented pump therapy; a difference that reflects 3 hours 21 minutes more time spent in target range per day.
  • The study recruited a diverse cohort, yet still produced glycemic outcomes consistent with existing open-source AID literature, and that compare favorably to commercially available AID systems. Therefore, the CREATE Trial indicates that a range of people with type 1 diabetes might benefit from open-source AID solutions.

Huge thanks to each and every participant and their families for their contributions to this study! And ditto, big thanks to the amazing, multidisciplinary CREATE study team for their work on this study.


September 7, 2022 UPDATE – I’m thrilled to share that the paper with the primary outcomes from the CREATE trial is now published. You can find it on the journal site here, or like all of the research I contribute to, access an author copy on my research paper.

Example citation:

Burnside, M; Lewis, D; Crocket, H; et al. Open-Source Automated Insulin Delivery in Type 1 Diabetes. N Engl J Med 2022;387:869-81. DOI:10.1056/NE/Moa2203913

Note that the continuation phase study results are slated to be presented this fall at another conference!

Findings from the RCT on open source AID, the CREATE Trial, presented at #ADA2022