How I Built An AI Meal Estimation App – AI Meal Estimates in “PERT Pilot” and Announcing A New App “Carb Pilot”

As I have been working on adding additional features to PERT Pilot, the app I built (now available on the App Store for iOS!) for people like me who are living with exocrine pancreatic insufficiency, I’ve been thinking about all the things that have been challenging with managing pancreatic enzyme replacement therapy (PERT). One of those things was estimating the macronutrients – meaning grams of fat and protein and carb – in what I was eating.

I have 20+ years practice on estimating carbs, but when I was diagnosed with EPI, estimating fat and protein was challenging! I figured out methods that worked for me, but part of my PERT Pilot work has included re-thinking some of my assumptions about what is “fine” and what would be a lot better if I could improve things. And honestly, food estimation is still one of those things I wanted to improve! Not so much the accuracy (for me, after a year+ of practice I feel as though I have the hang of it), but the BURDEN of work it takes to develop those estimates. It’s a lot of work and part of the reason it feels hard to titrate PERT every single time I want to eat something.

So I thought to myself, wouldn’t it be nice if we could use AI tools to get back quick estimates of fat, protein, and carbs automatically in the app? Then we could edit them or otherwise use those estimates.

And so after getting the initial version of PERT Pilot approved and in the App Store for users to start using, I submitted another update – this time with meal estimation! It’s now been live for over a week.

Here’s how it works:

  • Give your meal a short title (which is not used by the AI but is used at a glance by us humans to see the meal in your list of saved meals).
  • Write a simple description of what you’re planning to eat. It can be short (e.g. “hot dogs”) or with a bit more detail (e.g. “two hot dogs with gluten free buns and lots of shredded cheddar cheese”). A little more detail will get you a somewhat more accurate estimates.
  • Hit submit, and then review the generated list of estimated counts. You can edit them if you think they’re not quite right, and then save them.

Here’s a preview of the feature as a video. I also asked friends for examples of what they’d serve if they had friends or family coming over to dinner – check out the meal descriptions and the counts the app generated for them. (This is exactly how I have been using the app when traveling and eating takeout or eating at someone’s house.)

Showing screenshots of PERT Pilot with the meal description input and the output of the estimated macronutrient counts for grams of fat, protein, and carb Showing more screenshots of PERT Pilot with the meal description input and the output of the estimated macronutrient counts for grams of fat, protein, and carb Showing even more screenshots of PERT Pilot with the meal description input and the output of the estimated macronutrient counts for grams of fat, protein, and carb

The original intent of this was to aid people with EPI (PEI/PI) in estimating what they’re eating so they can better match the needed enzyme dosing to it. But I realized…there’s probably a lot of other people who might like a meal estimation app, too. Particularly those of us who are using carb counts to dose insulin several times a day!

I pulled the AI meal estimation idea out into a second, separate app called Carb Pilot, which is also now available on the App Store.

Carb Pilot is designed to make carb counting easier and to save a bunch of clicks for getting an estimate for what you’re eating.

The Carb Pilot logo, which has pieces of fruit on the letters of the word "Carb". Pilot is written in italic script in purple font.

What does Carb Pilot do?

  • Like PERT Pilot, Carb Pilot has the AI meal estimation feature. You can click the button, type your meal description (and a meal title) and get back AI-generated estimates.
  • You can also use voice entry and quickly, verbally describe your meal.
  • You can also enter/save a meal manually, if you know what the counts are, or want to make your own estimates.

Carb Pilot integrates with HealthKit, so if you want, you can enable that and save any/all of your macronutrients there. HealthKit is a great tool for then porting your data to other apps where you might want to see this data along with, say, your favorite diabetes app that contains CGM/glucose data (or for any other reason/combination).

Speaking of “any/all”, Carb Pilot is designed to be different from other food tracking apps.

As a person with diabetes, historically I *just* wanted carb counts. I didn’t want to have to sift through a zillion other numbers when I just needed ONE piece of information. If that’s true for you – whether it’s carbs, protein, calories, or fat – during onboarding you can choose which of these macronutrients you want to display.

Just want to see carbs? That’s the default, and then in the saved meals you’ll ONLY see the carb info! If you change your mind, you can always change this in the Settings menu, and then the additional macronutrients will be displayed again.

Carb Pilot enables you to toggle the display of different nutrients. This shows what it looks like if only carbs are displaying or what happens if you ask the app to display all nutrients for each recorded food item.

It’s been really fun to build out Carb Pilot. Scott has been my tester for it, and interestingly, he’s turned into a super user of Carb Pilot because, in his words, “it’s so easy to use” and to generate macronutrient estimates for what he’s eating. (His use case isn’t for dosing medicine but matching what he’s eating against his energy expenditure for how much exercise/activity he’s been doing.) He’s been using it and giving me feedback and feature requests – I ended up building the voice-entry feature much more quickly than I expected because he was very interested in using it, which has been great! He also requested the ability to display meals in reverse chronological order and to be able to copy a previous meal to repeat it on another day (swipe on a meal and you can copy the description if you want to tweak and use it again, or simply repeat the meal as-is). We also discovered that it supports multiple languages as input for the AI meal estimation feature. How? Well, we were eating outside at a restaurant in Sweden and Scott copied and pasted the entree description from the menu – in Swedish – into Carb Pilot. It returned the counts for the meal, exactly as if he had entered them in English (our default language)!

I’m pointing this out because if you give Carb Pilot a try and have an idea for a feature/wish you could change the app in some way, I would LOVE for you to email me and tell me about it. I have a few other improvements I’m already planning to add but I’d love to make this as useful to as many people who would find this type of app helpful.

Why (was) there a subscription for ongoing AI use?

For both PERT Pilot and Carb Pilot, there is a cost (expense) to using the AI meal estimation. I have to pay OpenAI (which hosts the AI I’m using for the app) to use the AI for each meal estimation, and I have to host a web server to communicate between the app and the AI, which also costs a bit for every time we send a meal estimation request from the app. That’s why I decided to make Carb Pilot free to download and try. I originally played with $1.99 a month for unlimited AI meal estimations, but temporarily have turned that off to see what that does to the server load and cost, so right now it’s free to use the AI features as well.

TLDR:

– PERT Pilot has been updated to include the new meal estimation feature!

– People without EPI can use Carb Pilot for carb, protein, fat, and/or calorie tracking (of just one or any selection of those) tracking, also using the new AI meal estimation features!

You can find PERT Pilot here or Carb Pilot here on the App Store.

PERT Pilot – the first iOS app for Exocrine Pancreatic Insufficiency (EPI or PEI) and Pancreatic Enzyme Replacement Therapy (PERT)

Introducing PERT Pilot, the first iOS app designed for people with exocrine pancreatic insufficiency (EPI / PEI) and the only iOS app for specifically recording pancreatic enzyme replacement therapy (PERT) dosing!

*Available to download for FREE on the iOS App Store *
The PERT Pilot logo - PERT is in all caps and bold purple font, the word "Pilot" is in a script font in black placed below PERT.

After originally developing GI symptoms, then working through the long journey to diagnosis with exocrine pancreatic insufficiency (known as EPI or PEI), I’ve had to come up methods to figure out the right dosing of PERT for my EPI. I realized that the methods that I’ve made work for me – logging what I was eating in a spreadsheet and using it to determine the ratios I needed to use to dose my pancreatic enzyme replacement therapy (PERT) – weren’t methods that other people were as comfortable using. I have been thinking about this for the last year or more, and in my pursuit for wanting to encourage others to improve their outcomes with EPI (and realize that it IS possible to get to few symptoms, based on increasing/titrating the enzymes we take based on what we eat), I wrote a very long blog post explaining these methods and also sharing a free web-based calculator to help others to calculate their ratios.

But, that still isn’t the most user-friendly way to enable people to do this.

What else could I do, though? I wasn’t sure.

More recently, though, I have been experimenting with various projects and using ‘large language model’ (LLM) tools like GPT-4 to work on various projects. And a few weeks ago I realized that maybe I could *try* to build an iOS app version of my idea. I wanted something to help people log what they are eating, record their PERT dosing, and more easily see the relationship in what they are eating and what enzymes they are dosing. This would enable them to use that information to more easily adjust what they are dosing for future meals if they’re not (yet) satisfied with their outcomes.

And thus, PERT Pilot was born!

Screenshots from the PERT Pilot app which show the home screen, the calculator where you enter what PERT you're taking and a typical meal, plus the resulting ratios screen that show you the relationship between what you ate and how many enzymes you dosed.

What does PERT Pilot do?

PERT Pilot is designed to help people living with Exocrine Pancreatic Insufficiency (EPI or PEI) more easily deal with pancreatic enzyme replacement therapy (PERT). Aka, “taking enzymes”.

The PERT Pilot calculator enables you log the PERT that you are taking along with a meal, how many pills you take for it, and whether this dosing seems to work for you or not.

PERT Pilot then shows you the relationship between how much PERT you have been taking and what you are eating, supporting you as you fine-tune your enzyme intake.

PERT Pilot also enables you to share what’s working – and what might not be working – with your healthcare provider. PERT Pilot not only lists every meal you’ve entered, but also has a visual graph so you can see each meal and how much fat and protein from each meal were dosed by one pill – and it’s color coded by the outcome you assigned that meal! Green means you said that meal’s dosing “worked”; orange means you were “unsure”, and red matches the meals you said “didn’t work” for that level of dosing.

You can press on any meal and edit it, and you can swipe to delete a meal.

PERT Pilot also has is an education section so you can learn more about EPI and why you need PERT, and how this approach to ratios may help you more effectively dose your PERT in the future.

Why use PERT Pilot if you have EPI or PEI or PI?

PERT Pilot is the first and only specific app for those of us living with EPI (PEI or PI). People who use the approach in PERT Pilot of adapting their PERT dosing to what they are eating for each meal or snack often report fewer symptoms. PERT Pilot was designed and built by someone with exocrine pancreatic insufficiency, just like you!

With PERT Pilot you can:

  • Log your meals and PERT dosing. No other app specifically is designed for PERT dosing.
  • Edit or adjust your meal entry at any time – including if you wake up the next morning and realize your last dose from the day before ‘didn’t work’.
  • Review your dosing and see all of your meals, dosing, and outcomes – including a visual graph that shows you, for each meal, what one pill ‘covered’ so you can see where there are clusters of dosing that worked and if there are any clear patterns in what didn’t work for you.
  • You can also export your data, as a PDF list of all meals or a CSV file (which you can open in tools like Excel or other spreadsheet tools) if you want to analyze your data elsewhere!
  • Your data is your data, period. No one has access to your dosing data, meal data, or outcome data, and nothing you enter into PERT Pilot leaves your device – unless you decide to export your data. (See more in the PERT Pilot Privacy Policy.)

Note: this app was not funded by nor has any relationship to any pharmaceutical or medical-related companies. It’s simply built by a person with EPI for other people with EPI.

Here is a quick demonstration of PERT Pilot in action:

An animated gif of PERT Pilot in action

You can share your feedback about PERT Pilot:

Feel free to email me (Dana+PERTPilot@OpenAPS.org) any time.

I’d love to hear what works or is helpful, but also if something in the app isn’t yet working as expected.

Or, if you use another approved brand of PERT that’s not currently listed, let me know and I can add it in.

And, you can share your feature requests! I’m planning to build more features soon (see below).

What’s coming next for PERT Pilot:

I’m not done improving the functionality! I plan to add an AI meal estimation feature (UPDATE: now available!), so if you don’t know what’s in what you’re eating at a restaurant or someone else’s home cooked meal you can simply enter a description of the meal and have macronutrient estimates generated for you to use or modify.

Download PERT Pilot today! It’s free to download, so go ahead and download it and check it out! If you find it useful, please also leave a rating or review on the App Store to help other people find it in the future. You can also share it via social media, and give people a link to download it: https://bit.ly/PERT-Pilot-iOS

Functional Self-Tracking is The Only Self-Tracking I Do

“I could never do that,” you say.

And I’ve heard it before.

Eating gluten free for the rest of your life, because you were diagnosed with celiac disease? Heard that response (I could never do that) for going on 14 years.

Inject yourself with insulin or fingerstick test your blood glucose 14 times a day? Wear an insulin pump on your body 24/7/365? Wear a CGM on your body 24/7/365?

Yeah, I’ve heard you can’t do that, either. (For 20 years and counting.) Which means I and the other people living with the situations that necessitate these behaviors are…doing this for fun?

We’re not.

More recently, I’ve heard this type of comment come up about tracking what I’m eating, and in particular, tracking what I’m eating when I’m running. I definitely don’t do that for fun.

I have a 20+ year strong history of hating tracking things, actually. When I was diagnosed with type 1 diabetes, I was given a physical log book and asked to write down my blood glucose numbers.

“Why?” I asked. They’re stored in the meter.

The answer was because supposedly the medical team was going to review them.

And they did.

And it was useless.

“Why were you high on February 22, 2003?”

Whether we were asking this question in March of 2003 or January of 2023 (almost 20 years later), the answer would be the same: I have no idea.

BG data, by itself, is like a single data point for a pilot. It’s useless without the contextual stream of data as well as other metrics (in the diabetes case, things like what was eaten, what activity happened, what my schedule was before this point, and all insulin dosed potentially in the last 12-24h).

So you wouldn’t be surprised to find out that I stopped tracking. I didn’t stop testing my blood glucose levels – in fact, I tested upwards of 14 times a day when I was in high school, because the real-time information was helpful. Retrospectively? Nope.

I didn’t start “tracking” things again (for diabetes) until late 2013, when we realized that I could get my CGM data off the device and into the laptop beside my bed, dragging the CGM data into a CSV file in Dropbox and sending it to the cloud so an app called “Pushover” would make a louder and different alarm on my phone to wake me up to overnight hypoglycemia. The only reason I added any manual “tracking” to this system was because we realized we could create an algorithm to USE the information I gave it (about what I was eating and the insulin I was taking) combined with the real-time CGM data to usefully predict glucose levels in the future. Predictions meant we could make *predictive* alarms, instead of solely having *reactive* alarms, which is what the status quo in diabetes has been for decades.

So sure, I started tracking what I was eating and dosing, but not really. I was hitting buttons to enter this information into the system because it was useful, again, in real time. I didn’t bother doing much with the data retrospectively. I did occasional do things like reflect on my changes in sensitivity after I got the norovirus, for example, but again this was mostly looking in awe at how the real-time functionality of autosensitivity, an algorithm feature we designed to adjust to real-time changes in sensitivity to insulin, dealt throughout the course of being sick.

At the beginning of 2020, my life changed. Not because of the pandemic (although also because of that), but because I began to have serious, very bothersome GI symptoms that dragged on throughout 2020 and 2021. I’ve written here about my experiences in eventually self-diagnosing (and confirming) that I have exocrine pancreatic insufficiency, and began taking pancreatic enzyme replacement therapy in January 2022.

What I haven’t yet done, though, is explain all my failed attempts at tracking things in 2020 and 2021. Or, not failed attempts, but where I started and stopped and why those tracking attempts weren’t useful.

Once I realized I had GI symptoms that weren’t going away, I tried writing down everything I ate. I tried writing in a list on my phone in spring of 2020. I couldn’t see any patterns. So I stopped.

A few months later, in summer of 2020, I tried again, this time using a digital spreadsheet so I could enter data from my phone or my computer. Again, after a few days, I still couldn’t see any patterns. So I stopped.

I made a third attempt to try to look at ingredients, rather than categories of food or individual food items. I came up with a short list of potential contenders, but repeated testing of consuming those ingredients didn’t do me any good. I stopped, again.

When I first went to the GI doctor in fall of 2020, one of the questions he asked was whether there was any pattern between my symptoms and what I was eating. “No,” I breathed out in a frustrated sigh. “I can’t find any patterns in what I’m eating and the symptoms.”

So we didn’t go down that rabbit hole.

At the start of 2021, though, I was sick and tired (of being sick and tired with GI symptoms for going on a year) and tried again. I decided that some of my “worst” symptoms happened after I consumed onions, so I tried removing obvious sources of onion from my diet. That evolved to onion and garlic, but I realized almost everything I ate also had onion powder or garlic powder, so I tried avoiding those. It helped, some. That then led me to research more, learn about the categorization of FODMAPs, and try a low-FODMAP diet in mid/fall 2021. That helped some.

Then I found out I actually had exocrine pancreatic insufficiency and it all made sense: what my symptoms were, why they were happening, and why the numerous previous tracking attempts were not successful.

You wouldn’t think I’d start tracking again, but I did. Although this time, finally, was different.

When I realized I had EPI, I learned that my body was no longer producing enough digestive enzymes to help my body digest fat, protein, and carbs. Because I’m a person with type 1 diabetes and have been correlating my insulin doses to my carbohydrate consumption for 20+ years, it seemed logical to me to track the amount of fat and protein in what I was eating, track my enzyme (PERT) dosing, and see if there were any correlations that indicated my doses needed to be more or less.

My spreadsheet involved recording the outcome of the previous day’s symptoms, and I had a section for entering multiple things that I ate throughout the day and the number of enzymes. I wrote a short description of my meal (“butter chicken” or “frozen pizza” or “chicken nuggets and veggies”), the estimate of fat and protein counts for the meal, and the number of enzymes I took for that meal. I had columns on the left that added up the total amount of fat and protein for the day, and the total number of enzymes.

It became very apparent to me – within two days – that the dose of the enzymes relative to the quantity of fat and protein I was eating mattered. I used this information to titrate (adjust) my enzyme dose and better match the enzymes to the amount of fat or protein I was eating. It was successful.

I kept writing down what I was eating, though.

In part, because it became a quick reference library to find the “counts” of a previous meal that I was duplicating, without having to re-do the burdensome math of adding up all the ingredients and counting them out for a typical portion size.

It also helped me see that within the first month, I was definitely improving, but not all the way – in terms of fully reducing and eliminating all of my symptoms. So I continued to use it to titrate my enzyme doses.

Then it helped me carefully work my way through re-adding food items and ingredients that I had been avoiding (like onions, apples, and pears) and proving to my brain that those were the result of enzyme insufficiency, not food intolerances. Once I had a working system for determining how to dose enzymes, it became a lot easier to see when I had slight symptoms from slightly getting my dosing wrong or majorly mis-estimating the fat and protein in what I was eating.

It provided me with a feedback loop that doesn’t really exist in EPI and GI conditions, and it was a daily, informative, real-time feedback loop.

As I reached the end of my first year of dosing with PERT, though, I was still using my spreadsheet. It surprised me, actually. Did I need to be using it? Not all the time. But the biggest reason I kept using it relates to how I often eat. I often look at an ‘entree’ for protein and then ‘build’ the rest of my meal around that, to help make sure I’m getting enough protein to fuel my ultrarunning endeavors. So I pick my entree/main thing I’m eating and put it in my spreadsheet under the fat and protein columns (=17 g of fat, =20 g of protein), for example, then decide what I’m going to eat to go with it. Say I add a bag of cheddar popcorn, so that becomes (=17+9 g of fat) and (=20+2 g of protein), and when I hit enter, those cells now tell me it’s 26 g of fat and 22 g of protein for the meal, which tells my brain (and I also tell the spreadsheet) that I’ll take 1 PERT pill for that. So I use the spreadsheet functionally to “build” what I’m eating and calculate the total grams of protein and fat; which helps me ‘calculate’ how much PERT to take (based on my previous titration efforts I know I can do up to 30g of fat and protein each in one PERT pill of the size of my prescription)

Example in my spreadsheet showing a meal and the in-progress data entry of entering the formula to add up two meal items' worth of fat and protein

Essentially, this has become a real-time calculator to add up the numbers every time I eat. Sure, I could do this in my head, but I’m usually multitasking and deciding what I want to eat and writing it down, doing something else, doing yet something else, then going to make my food and eat it. This helps me remember, between the time I decided – sometimes minutes, sometimes hours in advance of when I start eating and need to actually take the enzymes – what the counts are and what the PERT dosing needs to be.

I have done some neat retrospective analysis, of course – last year I had estimated that I took thousands of PERT pills (more on that here). I was able to do that not because it’s “fun” to track every pill that I swallow, but because I had, as a result of functional self-tracking of what I was eating to determine my PERT dosing for everything I ate, had a record of 99% of the enzyme pills that I took last year.

I do have some things that I’m no longer entering in my spreadsheet, which is why it’s only 99% of what I eat. There are some things like a quick snack where I grab it and the OTC enzymes to match without thought, and swallow the pills and eat the snack and don’t write it down. That maybe happens once a week. Generally, though, if I’m eating multiple things (like for a meal), then it’s incredibly useful in that moment to use my spreadsheet to add up all the counts to get my dosing right. If I don’t do that, my dosing is often off, and even a little bit “off” can cause uncomfortable and annoying symptoms the rest of the day, overnight, and into the next morning.

So, I have quite the incentive to use this spreadsheet to make sure that I get my dosing right. It’s functional: not for the perceived “fun” of writing things down.

It’s the same thing that happens when I run long runs. I need to fuel my runs, and fuel (food) means enzymes. Figuring out how many enzymes to dose as I’m running 6, 9, or 25 hours into a run gets increasingly harder. I found that what works for me is having a pre-built list of the fuel options; and a spreadsheet where I quickly on my phone open it and tap a drop down list to mark what I’m eating, and it pulls in the counts from the library and tells me how many enzymes to take for that fuel (which I’ve already pre-calculated).

It’s useful in real-time for helping me dose the right amount of enzymes for the fuel that I need and am taking every 30 minutes throughout my run. It’s also useful for helping me stay on top of my goal amounts of calories and sodium to make sure I’m fueling enough of the right things (for running in general), which is something that can be hard to do the longer I run. (More about this method and a template for anyone who wants to track similarly here.)

The TL;DR point of this is: I don’t track things for fun. I track things if and when they’re functionally useful, and primarily that is in real-time medical decision making.

These methods may not make sense to you, and don’t have to.

It may not be a method that works for you, or you may not have the situation that I’m in (T1D, Graves, celiac, and EPI – fun!) that necessitates these, or you may not have the goals that I have (ultrarunning). That’s ok!

But don’t say that you “couldn’t” do something. You ‘couldn’t’ track what you consumed when you ran or you ‘couldn’t’ write down what you were eating or you ‘couldn’t’ take that many pills or you ‘couldn’t’ inject insulin or…

You could, if you needed to, and if you decided it was the way that you could and would be able to achieve your goals.

Two New Children’s Books – And How I Illustrated Them Without Being An Illustrator

I wrote two new books! You can find “Cooper’s Crutches” and “Chloe’s Cookies” on Amazon in paperback and Kindle formats.

Two children's books lay on the carpet: Cooper's Crutches and Chloe's Cookies, both written by Dana M. Lewis

One of these books I wrote years ago, about a month or so after I broke my ankle, inspired by the initial reactions from one of my nephews about me being on crutches. This new book is called Cooper’s Crutches.

I let it sit for several years, though, because I didn’t have illustrations for it. I’ve used a different illustrator or artist for each of my books so far.

A few weeks ago, though, I started thinking about experimenting with AI-driven illustrations for various projects, including wondering whether I could illustrate a children’s book or other projects with it.

The answer is: not yet. It’s hard to create a character who persists throughout image generation for enough scenes that can fit a two-dozen page storyline, although it would probably work for one or two images! (Especially if you managed to AI-illustrate a character that you could then place in various AI-illustrated scenes. The challenge is also having different poses for the same character, to illustrate a story.)

It then occurred to me to search around and I stumbled across a library of free, open source illustrations. Woohoo! Maybe those would work. Actually, I couldn’t even download that one due to a bug in their site, so I started searching (now that I knew to look for it) and found several other sets of illustrations. I even found a site called Blush that had a series of illustrations by various artists, and a web interface (GUI) that allowed you to modify images slightly then download them.

It’s like paper dolls, but digital – you can adjust the coloring of the hair, hair style, accessories, etc to modify the illustrated character.

I gave it a try, building some illustrations and downloading them. I then did some DIY-ing again in PowerPoint to modify them to help illustrate the full story in my children’s book. I printed a proof copy, but the versions I had downloaded for free were too low resolution and were fuzzy. However, the idea as a whole had worked great! I signed up for a free trial of the “Pro” version of Blush which enabled me to download both high-resolution PNG (image) files as well as SVG files.

Having SVG files theoretically would enable me to further modify and customize these, but as a non-illustrator even though I could load them in Figma and modify them, I still struggled to export them as high-enough resolution to work for printing in a book. I gave up and went back to DIY-ing the modifications in PowerPoint. They’re not perfect, but for the use case of my books (for a very small, niche audience), I doubt they care that they’re not perfect.

Here’s a selection of a few of the pages (not in order) in Cooper’s Crutches:

Excerpt images from Cooper's Crutches by Dana M. Lewis

At the same time that I started playing with these illustrations, I wondered whether I had any more ideas for books that I could illustrate at the same time with the same methods. I had had Cooper’s book written and waiting to illustrate; I now had a method to illustrate, but I wasn’t sure what story to illustrate.

But like all of my children’s books, inspiration again struck based on a situation and conversation I had with one of my nieces. She’s newly lactose intolerant and is taking lactase any time she has milk, like with milk and cookies for a bedtime snack. Lactase is an enzyme…and I’ve been taking enzymes of another sort this year, for exocrine pancreatic insufficiency.

Thus the next book, Chloe’s Cookies, was created!

Here’s a selection of a few of the pages (not in order) in the book:

Excerpt images from Chloe's Cookies, by Dana M. Lewis

Both Cooper’s Crutches and Chloe’s Cookies are illustrated with illustrations from a variety of artists who make their work available on Blush, including: Veronica Iezzi; Susana Salas; Pau Barbaro; Ivan Mesaroš; Mariana Gonzalez Vega; Deivid Saenz; and Cezar Berje.

The neat thing about Blush is their license: you can use the illustrations in any way, including commercial products, and you can modify or combine it with other works (like I did, modifying the images and combining illustrations from various artists) however you like.

I think I’ve likely maximized my use of Blush between these two books; unless other collections get uploaded in the future. But if you need a handful of illustrations that you can customize, definitely check it out!

And if you have ideas for other cool illustration libraries that I could use for future books, please let me know! (Or if you’re an artist who would like to contribute to one of my future books. :) )

TLDR:

I have two new children’s books, and you can find “Cooper’s Crutches” and “Chloe’s Cookies” on Amazon in paperback and Kindle formats.

Illustrating Children's Books without being an illustrator, plus introducting two new children's books by Dana M. Lewis

One Year of Pancreatic Enzyme Replacement Therapy for Exocrine Pancreatic Insufficiency (EPI or PEI)

I’ve had exocrine pancreatic insufficiency (EPI or PEI) for a full year now and have been taking pancreatic enzyme replacement therapy (PERT) ever since diagnosis.

I’ve written about what EPI is, what it’s like to go on PERT, and a variety of other posts (such as how I ultimately taught myself to titrate and adjust my dosing of PERT based on what I am eating) in the last year – you can see all my EPI posts listed at DIYPS.org/EPI. I also wrote recently about estimating the costs of PERT for a year, in which I had tallied up the number of PERT pills I had taken so far in the year. Since I’ve now hit the one year mark, I wanted to revisit that math.

In 365 days of pancreatic enzyme replacement therapy, I have consumed (at least) 3,277 pills.

That’s an average of 8.98 pills per day!

As I previously wrote, the number of pills is in part because I’m trying to lower the total costs (to everyone involved in paying for it) of my PERT by taking a mix of prescription PERT and OTC enzymes to try to balance effective dosing, cost, and the number of pills I swallow. I take one pill with my standard breakfast, so the remaining ~8 average pills are usually split between lunch, dinner, and/or a snack if I have one. (This is also influenced by my ultrarunning where I typically take ~2 pills every 30 minutes with my snacks/fuel for running, so long training days of 4 hours would involve 8 or more pills just for running fuel; obviously longer runs would involve even more, which drives the pills/day average higher.) If I wanted to reduce the total number of pills, I could by driving up the cost by using bigger, prescription PERT pills in lieu of some of the OTC options. However, most of the time, 3-4 pills per meal mixed between prescription and OTC is doable for me. I typically would choose to round up more PERT and reduce OTC pill count when I’m less certain about the macronutrient content of the meal or I want more confidence in better outcomes.

Speaking of better outcomes – is PERT effective?

For me, yes!

Overall, I feel so much better. Most of the time, I hardly ever have ANY symptoms (such as gas, bloating, or feeling icky) let alone my more extreme symptoms of “disrupting” my GI system. In the year of taking PERT, 78% of the time I had no disruption or any noticeable symptoms.

The average length of time between days with noticeable symptoms was 5.37 days.

And, if you look at the second half of the year, this increased quite a bit: 88% of the time I had no noticeable symptoms and the streak length of days between symptom days increased to 6.81 average days! The max streak is now 28 days (and counting)!

Showing the increasing length of streaks of consecutive days where I did not have any GI symptoms. The trend line shows a steady increase in the length of these streaks throughout the year.

That’s approaching a full month without any GI symptoms (woohoo) of any kind, and means less than 1 or 2 instances of symptoms per month for me in the last several months. That’s probably better than average for most people, even people without known GI conditions, and getting a lot closer back to my personal level of “normal”.

And obviously, this is continuing to increase over time as I improve my PERT dosing strategy.

This is pretty meaningful to think about.

PERT made a difference overall straight away, but I was also starting with very small portions of food and a very restricted diet. (This is because before I realized I had EPI I had done all kinds of behavioral gymnastics to try to eliminate foods like onion, garlic, and other foods that seemed to cause issues). So first I figured out PERT successfully for what I was eating; then carefully expanded my portion sizes back to typical quantities of food; then slowly expanded my diet to cover all the foods I used to eat before I started having all my GI problems.

It very much felt like I had three phases this year:

  • Phase 1: Use PERT to cover small quantities of small varieties of food. Figure out what foods I could eat that could “fit” into one PERT pill.
  • Phase 2: Start to figure out what quantities of food I wanted to eat, and get the PERT to match the food.
  • Phase 3: Finish expanding out my food choices to cover everything I was eating before and tackling all my “firsts” with PERT.

You can see this evolution in my diet, too, when you look at the relative changes in the amount of fat and protein I have eaten over the course of the year. (The one big obvious outlier on the graph in October is my 82 mile ultramarathon where I ate every 30 minutes for 25 hours!) There’s been a slight increase in my fat consumption over the course of the year, and protein consumption has stayed relatively flat as I’ve been making a very conscious effort to eat enough protein to fuel my ultrarunning endeavors throughout the year.

You can then see the relationship with increased number of pills (albeit pills with different amounts of lipase) over the course of the year, relative to the fat and protein consumed.

Displaying lines showing the relative amounts of fat and protein consumed throughout the year, plus the number of enzyme pills per day throughout 2022.

(Note that the pills per day is using a hidden right axis, whereas the fat and protein share the same left axis numbers, also not shown)

For anyone who is new (just diagnosed or recently diagnosed within a few weeks or months) to EPI, here’s what I would hope you take away:

  1. PERT works, but it needs to match what you are eating. Come up with a strategy (here’s mine – you can use it!) to adjust your dosing to match what you are eating. What you eat changes, and so should your PERT dosing.
  2. Things will improve over time, and you will get more effective at matching your dosing to what you are eating. You should be able to have more and more “streaks” of days without symptoms, or with reduced symptoms. However, this may take a few months, because you’ll likely also be – at the same time – re-expanding your variety of foods that you’re eating. The combination of eating more and different foods AND tweaking your dosing can make it take a little bit longer to figure it all out.
  3. If you’re not seeing success, talk with your doctor. There are different sizes of PERT pills – if you’re struggling to take X number of pills, you may be able to take fewer pills of a bigger size. There are different brands of PERT – so if one isn’t working for you (after you match your dosing to how much fat and protein is in each meal), you can switch and try another brand. There are also OTC options, which you can use to “top off” your prescription PERT or substitute, but you need to have an effective strategy for adjusting your dose that you can translate to your OTCs to be sure that they’re working.
One year of pancreatic enzyme replacement therapy for EPI by Dana M. Lewis

(PS – you can find my previous posts about EPI at DIYPS.org/EPI – and make sure you check out PERT Pilot, the first iOS app for Exocrine Pancreatic Insufficiency!)


You can also contribute to a research study and help us learn more about EPI/PEI – take this anonymous survey to share your experiences with EPI-related symptoms!

Looking Back Through 2022 (What You May Have Missed)

I ended up writing a post last year recapping 2021, in part because I felt like I did hardly anything – which wasn’t true. In part, that was based on my body having a number of things going on that I didn’t know at the time. I figured those out in 2022 which made 2022 hard and also provided me with a sense of accomplishment as I tackled some of these new challenges.

For 2022, I have a very different feeling looking back on the entire year, which makes me so happy because it was night and day (different) compared to this time last year.

One major example? Exocrine Pancreatic Insufficiency.

I started taking enzymes (pancreatic enzyme replacement therapy, known as PERT) in early January. And they clearly worked, hooray!

I quickly realized that like insulin, PERT dosing needed to be based on the contents of my meals. I figured out how to effectively titrate for each meal and within a month or two was reliably dosing effectively with everything I was eating and drinking. And, I was writing and sharing my knowledge with others – you can see many of the posts I wrote collected at DIYPS.org/EPI.

I also designed and built an open source web calculator to help others figure out their ratios of lipase and fat and protease and protein to help them improve their dosing.

I even published a peer-reviewed journal article about EPI – submitted within 4 months of confirming that I had it! You can read that paper here with an analysis of glucose data from both before and after starting PERT. It’s a really neat example that I hope will pave the way for answering many questions we all have about how particular medications possibly affect glucose levels (instead of simply being warned that they “may cause hypoglycemia or hyperglycemia” which is vague and unhelpful.)

I also had my eyes opened to having another chronic disease that has very, very expensive medication with no generic medication option available (and OTCs may or may not work well). Here’s some of the math I did on the cost of living with EPI and diabetes (and celiac and Graves) for a year, in case you missed it.

Another other challenge+success was running (again), but with a 6 week forced break (ha) because I massively broke a toe in July 2022.

That was physically painful and frustrating for delaying my ultramarathon training.

I had been successfully figuring out how to run and fuel with enzymes for EPI; I even built a DIY macronutrient tracker and shared a template so others can use it. I ran a 50k with a river crossing in early June and was on track to target my 100 mile run in early fall.

However with the broken toe, I took the time off needed and carefully built back up, put a lot of planning into it, and made my attempt in late October instead.

I succeeded in running ~82 miles in ~25 hours, all in one go!

I am immensely proud of that run for so many reasons, some of which are general pride at the accomplishment and others are specific, including:

  • Doing something I didn’t think I could do which is running all day and all night without stopping
  • Doing this as a solo or “DIY” self-organized ultra
  • Eating every 30 minutes like clockwork, consuming enzymes (more than 92 pills!), which means 50 snacks consumed. No GI issues, either, which is remarkable even for an ultrarunner without EPI!
  • Generally figuring out all the plans and logistics needed to be able to handle such a run, especially when dealing with type 1 diabetes, celiac, EPI, and Graves
  • Not causing any injuries, and in fact recovering remarkably fast which shows how effective my training and ‘race’ strategy were.

On top of this all, I achieved my biggest-ever running year, with more than 1,333 miles run this year. This is 300+ more than my previous best from last year which was the first time I crossed 1,000 miles in a year.

Professionally, I did quite a lot of miscellaneous writing, research, and other activities.

I spent a lot of time doing research. I also peer reviewed more than 24 papers for academic journals. I was asked to join an editorial board for a journal. I served on 2 grant review committees/programs.

I also wrote a lot.

*by ton, I mean way more than the past couple of years combined. Some of that has been due to getting some energy back once I’ve fixed missing enzyme and mis-adjusted hormone levels in my body! I’m up to 40+ blog posts this year.

And personally, the punches felt like they kept coming, because this year we also found out that I have Graves’ disease, taking my chronic disease count up to 4. Argh. (T1D, celiac, EPI, and now Graves’, for those curious about my list.)

My experience with Graves’ has included symptoms of subclinical hyperthyroidism (although my T3 and T4 are in range), and I have chosen to try thyroid medication in order to manage the really bothersome Graves’-related eye symptoms. That’s been an ongoing process and the symptoms of this have been up and down a number of times as I went on medication, reduced medication levels, etc.

What I’ve learned from my experience with both EPI and Graves’ in the same year is that there are some huge gaps in medical knowledge around how these things actually work and how to use real-world data (whether patient-recorded data or wearable-tracked data) to help with diagnosis, treatment (including medication titration), etc. So the upside to this is I have quite a few new projects and articles coming to fruition to help tackle some of the gaps that I fell into or spotted this year.

And that’s why I’m feeling optimistic, and like I accomplished quite a bit more in 2022 than in 2021. Some of it is the satisfaction of knowing the core two reasons why the previous year felt so physically bad; hopefully no more unsolved mysteries or additional chronic diseases will pop up in the next few years. Yet some of it is also the satisfaction of solving problems and creating solutions that I’m uniquely poised, due to my past experiences and skillsets, to solve. That feels good, and it feels good as always to get to channel my experiences and expertise to try to create solutions with words or code or research to help other people.

How To Dose Pancreatic Enzyme Replacement Therapy (PERT) By What You Are Eating – And A Free Web Calculator To Calculate Enzyme Dosing

PS – check out PERT Pilot, the first iOS app for Exocrine Pancreatic Insufficiency! It’s an iOS app that allows you to record as many meals as you want, the PERT dosing and outcomes, to help you visualize and review more of your PERT dosing data!

I’ve had exocrine pancreatic insufficiency (known as EPI or PEI) for a year now. I have had type 1 diabetes for 20+ years and am experienced in adjusting my medication (previously insulin) in response to everything that I eat or drink.

With EPI, though, most people are given a static prescription, such as one saying “take 3 pills with each meal”.

Well, what if every meal is not the same size?

Let’s think about a couple of hypothetical meals.

Meal A: Baked chicken, sweet potato, and broccoli. This meal likely results in ~31 grams of carbohydrates; 7 grams of fat; and ~30 grams of protein.

How would you dose for this meal? Most people do what they are told and dose based on the fat content of the meal. If they typically take 3 pills, they may take all 3 pills or take fewer pills if this is less fat than their typical meal.

Many people post in EPI social media groups post about restaurant dinners that sound like this complaining about side effects they experience with this type of meal. The commonly mentioned theory is that maybe the chicken is cooked in oil. However, the entire meal is so low in fat compared to other meals that it is unlikely to be the fat content causing symptoms if the typical meal dose of PERT is used, even if the chicken is cooked in oil.

Let’s discuss another meal.

Meal B: A bowl of chili topped with cheddar cheese and a piece of cornbread.

This meal results in ~45 grams of carbs; ~30 grams of fat; and ~42 grams of protein.

The fat content between these two meals is quite a bit different (7 grams of fat versus 30 grams of fat). Yet, again, most people are told simply to dose by the amount of fat, so someone might take a lower dose for the chicken meal because it has so little fat relative to other meals.

This could result in symptoms, though. The pancreas actually produces THREE kinds of enzymes. That’s why pancreatic enzyme replacement therapy medicine, called pancrelipase as a common name, has THREE types of enzymes: lipase, to help digest fat; protease, to help digest protein; and amylase, to help digest carbohydrates. A typical PERT pill has different amounts of these three enzymes, although it is usually described by the size/quantity of lipase it has – yet the other enzymes still play an important role in digestion.

I’ve observed that it’s pretty common for people to completely ignore the protein in what they’re eating. But as I mentioned, that seems to be the most obvious thing to try dosing for if “low fat” meals are causing issues. (It could also be sensitivity to carbohydrates, but the above example meal is fairly low carbohydrate.) My personal experience has also been that I am sensitive to fat and protein, and dose my meals based on these macronutrients, but other than eating fruit on an empty stomach (when I would add PERT/enzyme, despite the zero fat and protein in it), I don’t need to dose based on carbohydrates.

But I do need to dose for BOTH fat AND protein in what I’m eating. And I have a theory that a lot of other people with EPI do, too.

So how do you do this?

How do you dose for meals of different sizes, and take into account both fat and protein for these varying meals?

First, you need to figure out what dosing “works” for you and begin to estimate some “ratios” that you can use.

Most people begin experimenting and find a quantity of food that they can eat with the dose that they typically take. This meal size is going to vary person to person; it’ll also vary based on what it is in the meal they’re eating (such as chicken vs chili, from the above examples).

Once you find a dose that “works” and try it out a few times on the same meal, you can use this to determine what your ratios/dosing should be.

How?

Let’s use two examples with different dose sizes and types of PERT.

(PS – did you know there are 6 FDA-approved PERT brands in the US? Sometimes one works for someone where a different brand does not. If you’re struggling with the first type of PERT you’ve been prescribed, and you’ve already ruled out that you’re dosing correctly (see below), make sure to talk to your doctor and ask about trying a different brand.)

First, let’s calculate the ratios of lipase needed per gram of fat.

Let’s say the meal that “works” with your typical dose is 30 grams of fat. If 30 grams of fat is fine on your current dose, I would eat another meal with a slightly higher amount of fat (such as 35 or 40 grams of fat). When you get to an amount that “doesn’t work” – meaning you get symptoms – then you go back to the dose that does “work” to use in the math.

If the meal that “worked” was 30 grams of fat I would do the following math for each of these two examples:

Example A: You need 1 pill of Zenpep 25,000 to cover this meal

Example B: You need 3 pills of Creon 36,000 to cover this meal

Example A: 1 pill of Zenpep 25,000 is 1 multiplied by 25,000, or 25,000 units of lipase. Take that (25,000) and divide it by the grams of fat in the meal that works (30 grams). This would be 25,000/30 = 833. This means you need 833 units of lipase to “cover” 1 gram of fat. You can round up to ~1000 units of lipase to make it easier; your ratio would be 1000 units of lipase for every 1 gram of fat.

Example B: 3 pills of Creon 36,000 is 3 multiplied by 36,000, which is 108,000 units of lipase. Take that number (108,000) and divide it by the grams of fat in the meal that works (30 grams). This would be 108,000/30 = 3,600. This means you need 3,600 units of lipase to “cover” 1 gram of fat.

The next time you wanted to eat a meal, you would look at the grams of fat in a meal.

Let’s say you’re going to eat two bowls of chili and two pieces of cornbread. Let’s assume that is about 64 grams of fat. (Two bowls of chili and two cornbread is 30×2=60, plus a bit of butter for the cornbread so we’re calling it 64 grams of fat).

Example A: Take the meal and multiply it by your ratio. 64 (grams of fat) x 1,000 (how many units of lipase you need to cover 1 grant of fat) = 64,000. A Zenpep 25,000 has 25,000 lipase. Since you need 64,000 (units of lipase needed to cover the meal), you would divide it by your pill/dose size of 25,000. 64,000 divided by 25,000 is 2.56. That means for these ratios and a prescription of Zenpep 25,000 pill size, you need *3* Zenpep 25,000 to cover a meal of 64g of fat. (Remember, you can’t cut a PERT, so you have to round up to the next pill size.)

Example B: Take the meal and multiply it by your ratio. 64 (grams of fat) times 3,600 (how many units of lipase you need to cover 1 grant of fat) = 230,400. A Creon 36,000 has 36,000 lipase. Since you need 230,400 units of lipase to cover the meal, you would divide it by your pill/dose size of 36,000. 230,400 divided by 36,000 is 6.4. This means you need *7* Creon 36,000 to cover a meal of 64g of fat. (Again, you can’t cut a PERT, so you have to round up to 7 from 6.4.)

Another way to think about this and make it easier in the future is to determine how much one pill “covers”.

Example A: A Zenpep 25,000 “covers” 25 grams of fat if my ratio is 1000 units of lipase for every gram of fat (25,000/1000=25).

So if a meal is under 25g of fat? 1 pill. A meal under 50g (25×2)? 2 pills. 75g (25×3)? 3 pills. And so on. Once you know what a pill “covers”, it’s a little easier; you can simply assess whether a meal is above/below your pill size of 1 (25g), 2 (50g), 3 (75g) etc.

Example B: A Creon 36,000 “covers” 10 grams of fat if my ratio is 3,600 units of lipase for every gram of fat (36,000/3600=10).

So if a meal is under 10 grams of fat? 1 pill. 20 grams of fat is 2 pills (10×2); 30 grams of fat is 3 pills (10×3); etc.

When people with EPI share experiences online, they often describe their dose size (such as 1 x 25,000 or 3 x 36,000 like examples A and B above) for most meals, but the meal size and composition is rarely discussed.

Personally, I can eat pretty widely varying amounts of fat in each meal on a day to day basis.

That’s why, instead of a flat dosing that works for everything (because I would be taking a LOT of pills at every meal if I was trying to take enough to cover my highest fat meals every time), I have found it to be more effective to estimate each meal to determine my meal dosing.

Remember that meal estimates aren’t very precise. If you use a nutrition panel on a box serving, the serving size can vary a bit. Restaurants (especially chains) have nutrition information, but the serving size can vary. So recognize that if you are calculating or estimating 59 grams of fat and that means either 2 vs 3 pills or 6 vs 7 pills, that you should use your judgment on whether you want to round up to the next pill number – or not.

Let’s put the hypothetical meals side by side and compare dosing with examples A and B from above:

Example of how much PERT is needed for two different meals based on dose ratios from Examples A and B

Using the previous meal examples with either 7 or 30 grams of fat:

  • With Example A (ratio of 25g of fat for every 1 pill, or 1000 units of lipase to cover 1 gram of fat), we would need 1 pill for the chicken meal and 2 for the chili meal. Why? The chili is >25 grams of fat which means we need to round up to 2 pills.
  • With Example B (ratio of 10 grams of fat for every 1 pill or 3600 units of lipase to cover 1 gram of fat), we would need 1 pill to cover the chicken (because it’s less than 10 grams of fat) and 3 – or more – pills for the chili. Why “or more”? Well, something like chili is likely to be imprecisely counted – and if you’re like me, you’d want a bit of extra cheese, so chances are I would round up to a 4th pill here to take in the imprecision of the measurements of the ingredients.

PERT Dosing for Protein

Wait, didn’t you say something about protein?

Yes, I did. Fat isn’t the only determinant in this math!

I do the same type of math with grams of protein and units of protease. (Remember, PERT has all 3 types of enzymes, even though it is labeled by the amount of lipase. You can look online or on the bottle label to see how much protease is in your PERT.)

For our examples, Zenpep 25,000 contains 85,000 units of protease. Creon 36,000 contains 114,000 units of protease.

For the meal that ‘worked’ of 30 grams of fat, we also want to know the protein that worked. For easy math, let’s also say 30 grams of protein is in this meal.

Following the same math as before:

Example A (Zenpep 25,000): 30 grams of protein divided by 1×85,000 units of protease is ~2,833 units of protease to every 1 gram of protein. Again, I like to think about how much 1 pill “covers” protein-wise. In this case, 1 Zenpep 25,000 “covers” 30 grams of protein.

Example B (Creon 36,000): 30 grams of protein divided into 3 x 114,000 units of protease is 11,400 units of protease per gram of protein. Again, I like to think about how much 1 pill “covers” protein-wise as well. In this case, 1 Creon 36,000 “covers” 10 grams of protein.

Here’s how many pills are needed for protein:

Example of how much PERT is needed for two different meals based on dose ratios from Examples A and B, showing both protein and fat quantities

  • With Example A (ratio of 30g of protein for every 1 pill), we would need 1 pill for the chicken meal and 2 for the chili meal. Why? The chili is 42, which is greater than (30×1) grams of protein which means we need to round up to 2 pills.
  • With Example B (ratio of 10 grams of protein for every 1 pill), we would need 3 or more pills to cover the chicken. Why 3 or more? Again, it’s on the top edge of what 3 pills would cover, so I’d be likely to round up to 4 pills here. For the chili, 5 pills are needed (42 is more than 4 x 10 and is less than 5 x 10).

So how do you decide the number of pills to take for these meals? Let’s go back to our two example meals and compare the amount needed, pill-wise, for both fat and protein for each meal and each example.

Example of how much PERT is needed for two different meals based on dose ratios from Examples A and B and comparing the number of pills for fat and protein

When the pill numbers MATCH (e.g. the same number needed for fat and protein), which is the case for both examples with Zenpep 25,000, it’s easy: take that number of pills total! For Zenpep 25,000, I would take 1 pill for the Chicken (1 fat | 1 protein); and I would take 2 pills for the Chili (2 fat | 2 protein). Remember that PERT pills contain all three enzymes, so the fat and protein are sufficiently *each* covered by the quantities of lipase and protease in this pill type.

When the pill numbers are DIFFERENT between your fat and protein estimates, you use the LARGER number of pills. For Creon 36,000, with the chicken meal the protein quantity is much larger than the fat quantity; I would in this case dose 4 total pills (1 fat | 4 protein), which would then cover the protein in this meal and would also sufficiently cover the amount of fat in this meal. For the chili meal, it is closer: I estimated needing 4 pills for fat and 5 for protein; in this case, I would take 5 total pills which would then successfully cover the protein and the fat in the meal.

If you find the math challenging to do, don’t worry: once you determine your ratios and figure out how much one pill “covers”, it gets a lot easier.

And I made a few tools to help you!

Check out this free enzyme calculator which does the math to determine the ratios on exactly how much one pill “covers” for your successful meal.

(The calculator is for entering one meal at a time, and doesn’t save them, but if you’d like AI to estimate what is in your meal and help you log and save multiple meals, check out PERT Pilot if you have an iPhone.)

Here’s what it looks like using the two examples above:

Example of Part 1 of the EPI Enzyme Calculator using Zenpep 25,000, where 1 pill covers 30 grams of fat and 30 grams of protein. Example of Part 1 of the EPI Enzyme Calculator using Creon 36,000, where 3 pills covers 30 grams of fat and 30 grams of protein.

You can input your meal that “works”, what your dose is that “works” (the number of pills and pill type), and it will share what your ratios are and what one pill “covers”.

You can also use the second part of the calculator to estimate the amount you need for a future meal! Say it’s coming up on a holiday and you’re going to eat a much larger meal than you normally do.

You can input into the calculator that you’ll be eating 90 grams of fat and 75 grams of protein.

Here’s the example with our dose from Example A (Zenpep 25,000):

Example of Part 2 of the EPI Enzyme Calculator using Zenpep 25,000, with a future larger meal of 90 grams of fat and 75 grams of protein.

Here’s the example large meal with our dose from Example B (Creon 36,000):

Example of Part 2 of the EPI Enzyme Calculator using Creon 36,000, with a future larger meal of 90 grams of fat and 75 grams of protein.

You can also hit the button to expand the calculations to see the math it is doing, and how it compares between the fat and protein pill estimates to see what “drives” the total number of pills needed.

You can also hit the button to expand the calculations to see the math it is doing, and how it compares between the fat and protein pill estimates to see what “drives” the total number of pills needed, with the calculation view expanded to show all the details

You can even download a PDF with this math to have on hand. Here’s what the PDF download looks like for Example B (Creon 36,000):

Example of a PDF print view of the same data from previous screenshots with a Creon 36000 example

Switching dose sizes or PERT brand types

This calculator can also be useful if you were originally prescribed a smaller quantity of PERT (e.g. Creon 3000 or Zenpep 3000) and you find yourself taking many numbers of these pills (6 or more) to cover a small meal for you, let alone more pills for a larger meal.

You can input this into the calculator and get your ratios; then in the second part, identify a different pill size, to see how many numbers of pills you’d take on a different dose.

Example switching from one size of PERT pill to another size

You can also use it to help you understand how much you might need if you are switching between brands. Let’s say you were prescribed Zenpep 25,000 and you need to try Creon, either because you don’t think Zenpep works well for you or your insurance is more willing to cover the Creon brand.

You would use the top part of the calculator with your current brand and size (e.g. Zenpep 25,000 of which you take 6 for a standard meal of 30 grams of fat and 30 grams of protein) and then input the new brand and size and the same size meal (e.g. Creon 36,000 and another 30 grams of fat and 30 grams of protein meal) to see that you’d likely need 5 Creon 36,000 to match the 6 Zenpep 25,000 you were taking for a standard size (30 gram of fat and 30 gram of protein) meal.

Example of using the calculator to estimate the different number of pills for a different brand and size of PERT pill

Note: I’m not suggesting 30 grams of fat and protein at each meal is “standard” or the “right” size of the meal – I picked arbitrary numbers here to illustrate these examples, so make sure to include the meal that your PERT dosing successfully covers for YOU!

As a reminder, I’m not a doctor – I’m a person living with EPI. None of this is medical advice. I use this math and this calculator for my own personal use and share it in case it’s helpful to others. If you have questions, please do talk to your doctor. If you’re still experiencing symptoms with your enzyme dosing, you definitely should talk with your doctor. Your prescription size might need updating compared to what you were originally prescribed.

Also, please note that the calculator is open source; you can find the code here, and I welcome contributions (pull requests) and suggestions! You can leave feedback on Github or share feedback in this form. For example, if you’re using a different type of enzyme not listed in the calculator (currently 2/6 of the US FDA-approved versions are listed), please let me know and I can work to add the relevant list.

PS – You can find my other posts about EPI at DIYPS.org/EPI, and you can also check out PERT Pilot, the first iOS app for Exocrine Pancreatic Insufficiency! It’s an iOS app that allows you to record as many meals as you want, the PERT dosing and outcomes, to help you visualize and review more of your PERT dosing data!


You can also contribute to a research study and help us learn more about EPI/PEI – take this anonymous survey to share your experiences with EPI-related symptoms!

Dealing With And Avoiding Chronic Disease Management Burnout

I’ve been thinking about juggling lately, especially as this year I’ve had to add a series of new habits and behaviors and medications to manage not one but two new chronic diseases. Getting one new chronic disease is hard; getting another is hard; and the challenges aren’t necessarily linear or exponential, and they’re not necessarily obvious up front.

But sometimes the challenges do compound over time.

In January when I started taking pancreatic enzyme replacement therapy (PERT) for exocrine pancreatic insufficiency (EPI or PEI), I had to teach myself to remember to take enzymes at every meal. Not just some time around the meal, but 100% every time before (by only a few minutes) or right at the start of the meal. With PERT, the timing matters for efficacy. I have a fast/short feedback loop – if I mis-time my enzymes or don’t take them, I get varying symptoms within a few hours that then bother me for the rest of the day, overnight, and into the next morning. So I’m very incentivized to take the enzymes and time them effectively when I eat. However, as I started to travel (my first trip out of the country since the pandemic started), I was nervous about trying to adapt to travel and being out of my routine at home where I’ve placed enzymes in visible eye sight of every location where I might consume food. Thankfully, that all went well and I managed not to forget taking enzymes when I ate and all was well. But I know I’m still building the habit of taking enzymes and eating, and that involves both always having enzymes with me and remembering to get them out and take them. It sounds like a trivial amount of things to remember, but this is added on top of everything else I’m doing for managing my health and well-being.

This includes other “simple” things like taking my allergy medications – because I’m allergic to cats (and we have them!), trees, dust, etc. And vitamins (I’m vitamin D deficient when I don’t take vitamin D).

And brushing my teeth and flossing.

You do that too, right? Or maybe you’re one of those people who struggle to remember to floss. It’s normal.

The list of well-being management gets kind of long when you think about all the every day activities and habits you have to help you stay at your best possible health.

Eat healthy! (You do that, right? 😉 )

Hydrate!

Exercise!

Etc.

I’ve also got the background habits of 20 years of living with diabetes: keeping my pump sites on my body; refilling the reservoir and changing the pump site every few days; making sure the insulin doesn’t get too hot or cold; making sure my CGM data isn’t too noisy; changing my CGM sensor when needed; estimating ballpark carbs and entering them and/or temporary targets to indicate exercise into my open source AID; keeping my AID powered; keeping my pump powered; keeping my phone – which has my CGM visibility on it – powered and nearby. Ordering supplies – batteries and pump sites and reservoirs and CGM transmitters and CGM sensors and insulin and glucagon.

Some of these are daily or every few days tasks; others are once or twice a month or every three months.

Those stack up sometimes where I need to refill a reservoir and oops, get another bottle of insulin out of the fridge which reminds me to make a note to check on my shipment of insulin which hasn’t arrived yet. I also need to change my pump site and my CGM sensor is expiring at bedtime so I need to also go ahead and change it so the CGM warmup period will be done by the time I go to sleep. I want to refill my reservoir and change the pump site after dinner since the dinner insulin is more effective on the existing site; I think of this as I pull my enzymes out to swallow as I start eating. I’ll do the CGM insertion when I do my pump site change. But the CGM warmup period is then in the after-dinner timeframe so I then have to keep an eye on things manually because my AID can’t function without CGM data so 2 hours (or more) of warmup means extra manual diabetes attention. While I’m doing that, I also need to remember to take my allergy medication and vitamin D, plus remembering to take my new thyroid medication at bedtime.

Any given day, that set of overlapping scenarios may be totally fine, and I don’t think anything of them.

On other days, where I might be stressed or overwhelmed by something else – even if it’s not health-related – that can make the above scenario feel overwhelmingly difficult.

One of the strategies I discussed in a previous post relative to planning travel or busy periods like holidays is trying to separate tasks in advance (like pre-filling a reservoir), so the action tasks (inserting a pump site and hooking it up to a new reservoir) don’t take as long. That works well, if you know the busy period is coming.

But sometimes you don’t have awareness of a forthcoming busy period and life happens. Or it’s not necessarily busy, per se, but you start to get overwhelmed and stressed and that leaks over into the necessary care and feeding of medical stuff, like managing pump sites and reservoirs and sensors and medication.

You might start negotiating with yourself: “do I really need to change that pump site today? It can wait until tomorrow”. Or you might wait until your reservoir actually hits the ‘0’ level (which isn’t fully 0; there’s a few units plus or minus some bubbles left) to refill it. Or other things like that, whether it’s not entering carbs into your pump or AID or not bolusing. Depending on your system/setup, those things may not be a big deal. And for a day or two, they’re likely not a big deal overall.

But falling into the rut of these becoming the new normal is not optimal – that’s burnout, and I try to avoid getting there.

When I start to have some of those thought patterns and recognize that I have begun negotiating with myself, I try to voice how I’m feeling to myself and my spouse or family or friends. I tell them I’m starting to feel “crispy” (around the edges) – indicating I’m not fully burnt out, but I could get all the way to burnout if I don’t temporarily change some things. (Or permanently, but often for me temporary shifts are effective.)

One of the first things I do is think through what is the bare minimum necessary care I need to take. I go above and beyond and optimize a LOT of things to get above-target outcomes in most areas. While I like to do those things, they’re not necessary. So I think through the list of necessary things, like: keeping a working pump site on my body; keeping insulin in a reservoir attached to my pump; keeping my CGM sensor working; and keeping my AID powered and nearby.

That then leaves a pile of tasks to consider:

  1. Not doing at all for ___ period of time
  2. Not doing myself but asking someone else to do for ____ period of time

And then I either ask or accept the offers of help I get to do some of those things.

When I was in high school and college, I would have weekends where I would ask my parents to help. They would take on the task of carb counting (or estimating) so I didn’t have to. (They also did HEAPS of work for years while I was on their insurance to order and keep supplies in the house and wrangle with insurance so I didn’t have to – that was huge background help that I greatly appreciated.)

Nowadays, there are still things I can and do get other people to help with. Sometimes it’s listening to me vent (with a clear warning that I’m just venting and don’t need suggestions); my parents often still fill that role for me! Since I’m now married and no longer living alone, Scott offers a lot of support especially during those times. Sometimes he fills reservoirs for me, or more often will bring me supplies from the cabinet or fridge to wherever I’m sitting (or even in bed so I don’t have to get up to go change my site). Or he’ll help evaluate and determine that something can wait until a later time to do (e.g. change pump site at another time). Sometimes I get him to open boxes for me and we re-organize how my supplies are to make them easier to grab and go.

Those are diabetes-specific examples, but I’ve also written about how helpful additional help can be sometimes for EPI too, especially with weighing and estimating macronutrient counts so I can figure out my PERT dosing. Or making food once I’ve decided what I want to eat, again so I can separate deciding what to eat and what the counts/dosing is from the action tasks of preparing or cooking the food.

For celiac, one of the biggest changes that has helped was Scott asking family members to load the “Find Me Gluten Free” app on their phone. That way, if we were going out to eat or finding a takeout option, instead of everyone ALWAYS turning to me and saying “what are the gluten free options?”, they could occasionally also skim the app to see what some of the obvious choices were, so I wasn’t always having to drive the family decision making on where to eat.

If you don’t have a chronic illness (or multiple chronic illnesses), these might not sound like a big deal. If you do (even if you have a different set of chronic disease(s)), maybe you recognize some of this.

There are estimates that people with diabetes make hundreds of decisions and actions a day for managing living with diabetes. Multiply that times 20 years. Ditto for celiac, for identifying and preparing and guarding against cross-contamination of said gluten-free food – multiply that work every day times 14 years. And now a year’s worth of *every* time I consider eating anything to estimate (with reading nutrition labels or calculating combinations based on food labels or weighing and googling and estimating compared to other nutrition labels) how much enzymes to take and remembering to swallow the right number of pills at the optimal times. Plus the moral and financial weight of deciding how to balance efficacy with cost of these enzymes. Plus several months now of an additional life-critical medication.

It’s so much work.

It’s easy to get outright burnt out, and common to start to feel a little “crispy” around the edges at times.

If you find yourself in this position, know that it’s normal.

You’re doing a lot, and you’re doing a great job to keep yourself alive.

You can’t do 110% all the time, though, so it is ok to figure out what is the bare minimum and some days throughout the year, just do that, so you can go back to 110%-ing it (or 100%-ing) the other days.

With practice, you will increasingly be able to spot patterns of scenarios or times of the year when you typically get crispy, and maybe you can eventually figure out strategies to adapt in advance (see me over here pre-filling reservoirs ahead of Thanksgiving last week and planning when I’d change my pump site and planning exactly what I would eat for 3 days).

TLDR:

  • Living with chronic disease is hard. And the more diseases you have, the harder it can be.
  • If you live with or love someone with chronic disease(s), ask them if you can help. If they’re venting, ask if they want you to listen (valuable!) or to let you know if at any point they want help brainstorming or for you to provide suggestions (helpful *if* desired and requested).
  • If you’re the one living with chronic disease(s), consider asking for help, even with small things. Don’t let your own judgment (“I should be able to do this!”) get in your way of asking for help. Try it for a day or for a weekend.
Dealing with and avoiding chronic disease burnout by Dana M. Lewis

Costs, Price and Calculations for Living With Diabetes and Exocrine Pancreatic Insufficiency and Celiac and Graves

Living with diabetes is expensive. However, the cost and price goes beyond the cost of insulin, which you may have heard about lately. In addition to insulin, you need tools and supplies to inject the insulin (e.g. syringes, insulin pens, or an insulin pump). Depending on those methods, you need additional supplies (e.g. pen needles for insulin pens, reservoirs and infusion sets for insulin pumps). You also need blood glucose monitoring supplies, whether that is meter and up to a dozen glucose test strips a day and/or a continuous glucose monitor which is made up of a disposable sensor and a reusable transmitter.

All those costs add up on a daily basis for people living with diabetes, even if you have health insurance.

Understanding the costs of living with chronic illness with health insurance in the US

Every year in the US we have “open enrollment” time when we opt-in or enroll into our choice of health insurance plan for the following year. I am lucky and have access to insurance through my husband’s employer, who covers part of the cost for him and me (as a spouse). We have a high-deductible (HSA-qualified) health plan, so our deductible (the amount we must pay before insurance begins to pay for a portion of the costs) is usually around $1,500-$2,500 USD for me. After that, I might pay either a fixed copay ($10 or $25 or similar) for a doctor’s visit, or a percentage (10% or 20%) while the insurance covers the rest of the cost. Then there is a fixed “out of pocket (OOP) max” cost for the year, which might be something like $3,000 USD total. Sometimes the OOP max is pretty close to the deductible, because we typically choose the ‘high deductible’ plan (with no monthly cost for the insurance plan) over a plan where we have a lower deductible but pay a monthly premium for the insurance.

That’s a very rough summary of how I see my health insurance. Everyone has different health insurers (the company providing the insurance) and different plans (the costs will be different based on whether it’s through a different employer or if it’s an individual plan).

So the costs to people with diabetes can vary quite a bit in the US, depending on whether you have insurance: there is variation in the monthly cost of the plan, the amount of the deductible, and the amount of the out of pocket max.

In order to choose my plan for the following year, I look at the total cost for the year of my health supplies and health care, then look at the plans. Usually, the high deductible plan “feels” more expensive because I might have to reach $2,500 before insurance kicks in; however, the out of pocket cap may only be $500 beyond that, so that I’m going to pay a maximum of $3,000 for the year in insurance-covered costs*. There are other types of plans that are lower deductible, such as insurance kicking in after a $250 deductible. That sounds better, right? Well, those plans come with a monthly cost (premium) of $250. So you need to factor that in ($250×12=$3,000) alongside the deductible and any costs up to the out of pocket max ($2,500). From this, you’d pay the $3,000 total yearly premium plus up to $2,500 OOP, or $5,500. Thus, even though it has a lower deductible and OOP, you’re in total paying much more ($5,500 vs $3,000) if you’re someone like me.

Why? Because I have >$3,000 of health supply costs every year.

This is why every few years (mostly after I forget what I learned the last time), I do the math on how much my supply costs to see if I’m still making the most cost-effective choices for me with my insurance plans.

I wanted to share this math methodology below, also because this year I have new variables, which are two new chronic diseases (exocrine pancreatic insufficiency and Graves) that add additional costs and healthcare needs and require me to want to re-check my math.

* Clarifying that previously and most years I pay out of pocket for minor, relatively low-cost health supplies like vitamins or tape to cover my CGM that I buy and do not get through insurance coverage, so my total costs are usually over that OOP max, but likely not by more than a few hundred dollars.

Note: Do not attempt to use this as an absolute cost of diabetes for anyone else. These numbers are based on my use cases in terms of volume of insulin, insurance coverage, etc. Ditto for trying to use the costs for EPI. Where relevant below, I provide rough estimates of my methodology so that another individual with diabetes or EPI/PEI could use similar methods to calculate their own rough costs, if they wished. However, this cannot be used to determine any average cost to people with diabetes more broadly, so don’t excerpt or cite this in those ways. This is purely n=1 math with conclusions that are unique to this n=1 (aka me) but with methods that can be extended for others.

I’ll cover my estimates for costs of diabetes, celiac, exocrine pancreatic insufficiency (EPI or PEI), and Graves’ disease below. This doesn’t account for visits (e.g. doctor’s appointments), lab tests, or other health costs such as x-rays for breaking bones, because those vary quite a bit year to year and aren’t guaranteed fixed costs. But the supplies I need for diabetes, EPI, etc are fixed costs, which I use to anchor my math. Given that they end up well above my OOP max, the then-variable amount of other costs (doctor’s appointments, lab work, etc) is minor in comparison and irrelevant regardless of how much it varies year to year.

The costs (for me) of daily living with diabetes

(You read the caveat note above, right? This is my math based on my volume of insulin, food intake, personal insulin sensitivity, etc. Lots of variables, all unique to me.)

To calculate the yearly costs of living with diabetes, I make a list of my diabetes supplies.

Primarily for me, those are:

  • Insulin
  • CGM sensors
  • CGM transmitter
  • Pump sites
  • Reservoirs

(Not included: meter/test strips or the cost of a pump or the cost of any hardware I’m using for my open source automated insulin delivery. I’ve not bought a new in-warranty pump in years, and that alone takes care of the OOP max on my insurance plan if I were to buy a pump that year. Anyway, the above list is really my recurring regular costs, but if you were purchasing a pump or on a subscription plan for a pump, you’d calculate that in as well).

First, I calculate the daily cost of insulin. I take the cost of a vial of my insulin and divide it by 1,000, because that’s how many units a vial of insulin has. Then I multiply that by the average number of units I use per day to get the cost per day of insulin, which for me is $4.36. (The yearly cost of insulin would be $1,592.)

Then, I calculate my CGM sensors. I take the total cost for a 3 month order of sensors and divide by the number of sensors; then divide by 10 days (because a sensor lasts about 10 days) to get the cost per day of a CGM sensor: about $11 per day. But, you also have to add in the cost of the re-usable transmitter. Again, factor the cost of a transmitter over the number of days it covers; for me it’s about $2 per day. In total, the cost per day of CGM is about $13 and the yearly cost of CGM is roughly $4,765.

Next is pump sites and reservoirs. You need both to go with your insulin pump: the pump site is the catheter site into your body and the tubing (this cumulatively gets replaced every few days), and the reservoir is disposable and is filled with insulin. The cost per day of pump sites and reservoirs is about $6 ($4.67 for a pump site and $1.17 for a reservoir) and the yearly cost of pump sites and reservoirs is $2,129.

If you add up these supplies (pump sites and reservoirs, CGM sensor and transmitter, insulin), the daily cost of diabetes for me is about $23. The yearly cost of diabetes for me is $8,486.

Give that $8,486 is well over the out of pocket max cost of $3,000, you can see why that for diabetes alone there is reason to pick the high deductible plan and pay a max of $3,000 for these supplies out of pocket.

The daily and yearly costs of living with celiac disease

But I don’t just have type 1 diabetes, so the above are not my only health supply costs.

I also have celiac disease. The treatment is a 100% gluten free diet, and eating gluten free is notoriously more expensive than the standard cost of food, whether that is groceries or eating out.

However, the cost of gluten free food isn’t covered by health insurance, so that doesn’t go in my cost calculation toward pricing the best insurance plan. Yet, it does go into my “how much does it cost every day from my health conditions” mental calculation.

I recently looked at a blog post that summarized the cost of gluten free groceries by state compared to low/medium/high grocery costs for the average person. By extrapolating my state’s numbers from a high-cost grocery budget, plus adding $5 each for eating out twice a week (typically gluten free food has at least a $2-3 surcharge in addition to being at higher cost restaurants, plus the fact that I can’t go eat at most drive-throughs, which is why I use $5/meal to offset the combined cost of the actual surcharge plus my actual options being more expensive).

I ended up estimating about a $3 daily average higher cost of being gluten free, or $1,100 per year cost of eating gluten free for celiac.

That’s probably an underestimate for me, but to give a ballpark, that’s another $1,000 or more I’m paying out of pocket in addition to healthcare costs through insurance.

The daily and yearly cost of living with exocrine pancreatic insufficiency and the daily and yearly cost of pancreatic enzyme replacement therapy

I spent a pleasant (so to speak) dozen or so years when “all” I had to pay for was diabetes supplies and gluten free food. However, in 2022, I was diagnosed with exocrine pancreatic insufficiency (and more recently also Graves’ disease, more on that cost below) and because I have spent ~20 years paying for diabetes, I wasn’t super surprised at the costs of EPI/PEI. However, most people get extreme sticker shock (so to speak) when they learn about the costs of pancreatic enzyme replacement therapy (PERT).

In summary, since most people don’t know about it: exocrine pancreatic insufficiency occurs for a variety of reasons, but is highly correlated with all types of diabetes, celiac, and other pancreatic conditions. When you have EPI, you need to take enzymes every time you eat food to help your body digest fat, protein, and carbohydrates, because in EPI your pancreas is not producing enough enzymes to successfully break down the food on its own. (Read a lot more about EPI here.)

Like diabetes, where different people may use very different amounts of insulin, in EPI people may need very different amounts of enzymes. This, like insulin, can be influenced by their body’s makeup, and also by the composition of what they are eating.

I use PERT (pancreatic enzyme replacement therapy) to also describe the prescription enzyme pills used for EPI. There are 6 different brands approved by the FDA in the US. They also come in different sizes; e.g. Brand A has 3,000, 6,000, 12,000, 24,000, 36,000 size pills. Those size refer to the units of lipase. Brand B has 3,000, 5,000, 10,000, 15,000, 20,000, 25,000, 40,000. Brands C, D, E and F have similar variety of sizes. The point is that when people compare amounts of enzymes you need to take into account 1) how many pills are they taking and 2) how much lipase (and protease and amylase) each of those pills are.

There is no generic for PERT. PERT is made from ground up pig pancreas. It’s expensive.

There are over the counter (OTC) enzymes made from alternative (plant etc) sources. However, there are ZERO studies looking at safety and efficacy of them. They typically contain much less lipase per pill; for example, one OTC brand pill contains 4,000 units of lipase per pill, or another contains 17,500 units of lipase per pill.

You also need to factor in the reliability of these non-approved pills. The quality of production can vary drastically. I had one bottle of OTC pills that was fine; then the next bottle of OTC pills I started to find empty capsules and eventually dumped them all out of the bottle and actually used a colander to filter out all of the enzyme powder from the broken capsules. There were more than 30 dud pill capsules that I found in that batch; in a bottle of 250 that means around 12% of them were unusable. That makes the reliability of the other ones suspect as well.

A pile of powder in the sink next to a colander where a bunch of pills sit. The colander was used to filter out the loose powder. On the right of the image is a baggie with empty pill capsules, illustrating where this loose powder came from. This shows the unreliability of over the counter (OTC) enzymes.

If the reliability of these pills even making it to you without breaking can be sketchy, then you need to assume that the counts of how much lipase (and protease and amylase) may not be precisely what the label is reporting. Again, there have been no tests for efficacy of these pills, so anyone with EPI or PEI needs to use these carefully and be aware of these limitations.

This unreliability isn’t necessarily true of all brands, however, or all types of OTC enzymes. That was a common brand of pancrelipase (aka contains lipase, protease, and amylase). I’ve had more success with the reliability of a lipase-only pill that contains about 6,000 units of lipase. However, it’s more expensive per pill (and doesn’t contain any of the other enzymes). I’ve used it to “top off” a meal with my prescription PERT when my meal contains a little bit more fat than what one PERT pill would “cover” on its own.

This combination of OTC and prescription PERT is where the math starts to get complicated for determining the daily cost and yearly cost of pancreatic enzyme replacement therapy.

Let’s say that I take 6-8 prescription PERT pills every day to cover what I eat. It varies because I don’t always eat the same type or amount of food; I adjust based on what I am eating.

The cost with my insurance and a 90 day supply is $8.34 for one PERT pill.

Depending on whether I am eating less fat and protein on a particular day and only need 6 PERT, the cost per day of enzymes for EPI might be $50.04, whereas if I eat a little more and need 8 PERT, the cost per day of enzymes for EPI could be up to $66.72.

The costs per year of PERT for EPI then would range from $18,000 (~6 per day) to $24,000 (~8 per day).

Please let that sink in.

Eighteen to twenty four thousand dollars to be able to successfully digest my food for a single year, not taking into account the cost of food itself or anything else.

(See why people new to EPI get sticker shock?!)

Even though I’m used to ‘high’ healthcare costs (see above estimates of $8,000 or more per year of diabetes costs), this is a lot of money. Knowing every time that I eat it “costs” at least one $8.34 pill is stressful. Eating a bigger portion of food and needing two or three pills? It really takes a mental toll in addition to a financial cost to think about your meal costing $25.02 (for 3 pills) on top of the cost of the food itself.

This is why OTC pills are interesting, because they are drastically differently priced. The 4,000 unit of lipase multi-enzyme pill that I described costs $0.09 per pill, which is about $0.02 per 1000 units of lipase. Compared to my prescription PERT which is $0.33 per 1000 units of lipase, it’s a lot cheaper.

But again, check out those pictures above of the 4,000 units of lipase OTC pills. Can you rely on those?

Not in the same way you can with the prescription PERT.

In the course of taking 1,254 prescription PERT pills this year (so far), I have not had a single issue with one of those pills. So in part the high cost is to ensure the safety and efficacy. Compare that to 12% (or more) of the OTC pills being complete duds (empty pill capsules that have emptied their powder into the bottle) and some % of unreliability even with a not-broken capsule.

Therefore it’s not feasible to me to completely replace prescription PERT with OTC pills, although it’s tempting purely on price.

I previously wrote at a high level about the cost calculations of PERT, but given my desire to look at the annual cost for estimating my insurance plan (plus many more months of data), I went deeper into the math.

I need to take anywhere from 2-6 OTC pills (depending on the brand and size) to “match” the size of one PERT. I found a new type (to me) of OTC pills that are more units of lipase (so I need 2 to match one PERT) instead of the two other kinds (which took either 4 or 6 to match one PERT), which would enable me to cut down on the number of pills swallowed.

The number of pills swallowed matters.

So far (as of mid-November, after starting PERT in early January), I have swallowed at least 1,254 prescription PERT enzyme pills. I don’t have as much precision of numbers on my OTC pills because I don’t always log them (there’s probably a few dozen I haven’t written down, but I probably have logged 95% of them in my enzyme tracking spreadsheet that I use to help calculate the amount needed for each meal/snack and also to look at trends.), but it’s about 2,100 OTC enzyme pills swallowed.

This means cumulatively this year (which is not over), I have swallowed over 3,300 enzyme pills. That’s about 10 enzyme pills swallowed every day!

That’s a lot of swallowing.

That’s why switching to a brand that is more units of lipase per pill, where 2 of these new OTC kind matches one PERT instead of 4-6, is also significant. While it is also slightly cheaper than the combination of the two I was using previously (a lipase-only and a multi-enzyme version), it is fewer pills to achieve the same amount.

If I had taken prescription PERT instead of the OTCs, it would have saved me over 1,600 pills to swallow so far this year.

You might be thinking: take the prescription PERT! Don’t worry about the OTC pills! OMG that’s a lot of pills.

(OMG, it *is* a lot of pills: I think that as well now that I’m adding up all of these numbers.)

Thankfully, so far I am not having issues with swallowing these pills. As I get older, that might change and be a bigger factor in determining my strategy for how I dose enzymes; but right now, that’s not the biggest factor. Instead, I’m looking at efficacy (getting the right amount of enzymes to match my food), the cost (in terms of price), and then optimizing and reducing the total number of pills if I can. But the price is such a big variable that it is playing the largest role in determining my strategy.

How should we collectively pay for this?

You see, I don’t have EPI in a vacuum.

As I described at the top of the post, I already have $8,000+ of yearly diabetes costs. The $18,000 (or $24,000 or more) yearly enzyme costs are a lot. Cumulatively, just these two alone mean my supply costs are $26-32,000 (or more), excluding other healthcare costs. Thankfully, I do have insurance to cover costs after I hit my out of pocket max, but the bigger question is: who should be paying for this?

If my insurer pays more, then the employer pays more, which means employees get worse coverage on our pooled insurance plan. Premiums go up and/or the plans cover less, and the out of pocket costs to everyone goes up.

So while it is tempting to try to “stuff” all of my supply needs into insurance-covered supplies, in order to reduce my personal out of pocket costs in the short run, that raises costs for everyone in the long run.

This year, for all of those (remember I estimated 2,100 OTC pills swallowed to date) OTC pills I bought, it cost me $515. Out of pocket. Not billed through insurance; they know nothing about it.

It feels like a lot of money. However, if you calculate how many PERT it replaced and the cost per PERT pill, I saved $4,036 by swallowing 1,652 extra pills.

Is paying $500 to save everyone else $4000 worth it?

I think so.

Again, the “price” question gets interesting.

The raw costs of yearly supplies I don’t pay completely; remember with health insurance I am capped at $3,000 out of pocket for supplies I get through insurance. However, again, it’s worth considering that additional costs do not cost me but they cost the insurer, and therefore the employer and our pool of people in this insurance plan and influences future costs for everyone on insurance. So if I can afford (although I don’t like it) $500-ish out of pocket and save everyone $4,000 – that’s worth doing.

Although, I think I can improve on that math for next year.

I was taking the two OTC kinds that I had mentioned: one that was lipase-only and very reliable, but $0.28/pill or $0.04 per 1000 units of lipase (and contains ~6000 units of lipase). The less reliable multi-enzyme pill was cheaper ($.09) per pill but only contains 4000 units of lipase, and was $.02 per 1000 units of lipase. That doesn’t factor in the duds and the way I had to increase the number of pills to account for the lack of faith I had in the 4000 units of lipase always being 4000 units of lipase.

The new OTC pill I mentioned above is $0.39 per pill, which is fairly equivalent price to a combined lipase-only and multi-enzyme pill. In fact, I often would take 1+1 for snacks that had a few grams of protein and more than a few grams of lipase. So one new pill will cover 17,000 units of lipase (instead of 10,000, made up of 6000+4000) at a similar cost: $0.39 instead of $0.36 (for the two combined). And, it also has a LOT more protease per pill, too. It has >2x the amount of protease as the multi-enzyme OTC pill, and is very similar to the amount of protease in my prescription PERT! I’ve mostly discussed the math by units of lipase, but I also dose based on how much protein I’m eating (thus, protease to cover protein the way lipase covers fat digestion), so this is also a benefit. As a result, two of the new OTC pill now more than match 1 PERT on lipase, double the protease to 1 PERT, and is only two swallows instead of the 4-6 swallows needed with the previous combination of OTCs.

I have only tested for a few days, but so far this new OTC is working fairly well as a substitute for my previous two OTC kinds.

Given the unreliability of OTCs, even with different brands that are more reliable than the above picture, I still want to consume one prescription PERT to “anchor” my main meals. I can then “top off” with some of the new OTC pills, which is lower price than more PERT but has the tradeoff cost of slightly less reliability compared to PERT.

So with 3 main meals, that means at least 3 PERT per day ($8.34 per pill) at $25.02 per day in prescription PERT costs and $9,132 per year in prescription PERT costs. Then to cover the additional 3-5 PERT pills I would otherwise need, assuming 2 of the new OTC covers 1 PERT pills, that is 6-10 OTC pills.

Combined, 3 PERT + 6 OTC pills or 3 PERT + 10 OTC pills would be $27.36 or $28.92 per day, or $9,986 or $10,556 per year.

Still quite a bit of money, but compared to 6-8 PERT per day (yearly cost $18,264 to $24,352), it saves somewhere between $7,708 per year (comparing 6 PERT to 3 PERT + 6 OTC pills per day) all the way up to $14,366 per year (comparing 8 PERT to 3 PERT +10 OTC pills per day).

And coming back to number of pills swallowed, 6 PERT per day would be 2,190 swallows per year; 8 PERT pills per day is 2,920 swallows per year; 3 PERT + 6 OTC is 9 pills per day which is 3,285 swallows per year; and 3 PERT + 10 OTC is 13 swallows per day which is 4,745 swallows per year.

That is 1,095 more swallows per year (3PERT+6 OTC vs 6 PERT) or 1,825 more swallows per year (3 PERT + 10 OTC vs 8 PERT).

Given that I estimated I swallowed ~10 enzyme pills per day this year so far, the estimated range of 9-13 swallows with the combination of PERT and OTC pills (either 3 PERT + (6 or 10) OTC) for next year seems reasonable.

Again, in future this might change if I begin to have issues swallowing for whatever reason, but in my current state it seems doable.

The daily and annual costs of thyroid treatment for Graves’ Disease

No, we’re still not done yet with annual health cost math. I also developed Graves’ disease with subclinical hyperthyroidism this year, putting me to a grand total of 4 chronic health conditions.

Luckily, though, the 4th time was the charm and I finally have a cheap(er) one!

My thyroid med DOES have a generic. It’s cheap: $11.75 for 3 months of a once-daily pill! Woohoo! That means $0.13 per day cost of thyroid treatment and $48 per year cost of thyroid treatment.

(Isn’t it nice to have cheap, easy math about at least one of 4 things? I think so!)

Adding up all the costs of diabetes, celiac disease, exocrine pancreatic insufficiency and Graves’ Disease

High five if you’ve read this entire post; and no problem if you skimmed the sections you didn’t care about.

Adding it all up, my personal costs are:

  • Diabetes: $23.25 per day; $8,486 per year
  • Celiac: $3 per day; $1,100 per year (all out of pocket)
  • Exocrine Pancreatic Insufficiency:
    • Anywhere from $50.04 up to $66.72 per day with just prescription PERT pills; $18,265 (6 per day) to $24,353 (8 per day) per year
    • With a mix of prescription and OTC pills, $27.36 to $28.92 per day; $9,986 to $10,556 per year.
    • Of this, the out of pocket cost for me would be $2.34 to $3.90 per day; or $854 up to $1,424 per year.
  • Thyroid/Graves: $0.13 per day; $48 per year

Total yearly cost:

  • $27,893 (where EPI costs are 6 prescription PERT per day); 2,190 swallows
  • $33,982 (where EPI costs are 8 prescription PERT per day); 2,920 swallows
  • $19,615 (where EPI costs are 3 prescription PERT and 6 OTC per day); 3,285 swallows
  • $20,185 (where EPI costs are 3 prescription PERT and 9 OTC per day); 4,745 swallows

* My out of pocket costs per year are $854-$1424 for EPI when using OTCs to supplement prescription PERT and an estimated $1,100 for celiac-related gluten free food costs. 

** Daily cost-wise, that means $76.42, $93.10, $53.74, or $55.30 daily costs respectively.

*** The swallow “cost” is 1,095-1,825 more swallows per year to get the lower price cost of enzymes by combining prescription and OTC.

Combining these out of pocket costs with my $3,000 out of pocket max on my insurance plan, I can expect that I will therefore pay around $4,900 to $5,600 next year in health supply costs, plus another few hundred for things like tape or vitamins etc. that aren’t major expenses.

TLDR: 

  • Diabetes is expensive, and it’s not just insulin.
    • Insulin is roughly 19% of my daily cost of diabetes supplies. CGM is currently 56% of my diabetes supply costs.
  • EPI is super expensive.
    • OTC pills can supplement prescription PERT but have reliability issues.
    • However, combined with prescription PERT it can help drastically cut the price of EPI.
    • The cost of this price reduction is significantly more pills to swallow on a daily basis, and adds an additional out of pocket cost that insurance doesn’t cover.
    • However in my case; I am privileged enough to afford this cost and choose this over increasing everyone in my insurance plan’s costs.
  • Celiac is expensive and mostly an out of pocket cost.
  • Thyroid is not as expensive to manage with daily medication. Yay for one of four being reasonably priced!

REMEMBER to not use these numbers or math out of context and apply them to any other person; this is based on my usage of insulin, enzymes, etc as well as my insurance plan’s costs.

Yearly costs, prices, and calculations of living with 4 chronic diseases (type 1 diabetes, celiac, Graves, and exocrine pancreatic insufficiency)

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