I’ve done articles like this in the past, comparing my clinical results over the years. But I’ve just hit what feels like another milestone, so I’m going to re-do it using my current reporting tools. I’m going to show data from four points in time: 2017, when I’d only recently started using an Automated Insulin …
Progressing through Hybrid and “Fully” Closed-looping Read More »
I recently wrote about the value of HbA1c in measuring more than just our average BG level. And in fact that it’s often not accurate in that. Our best tools for measuring our BG patterns at the moment are Continuous Glucose Monitoring (CGM) systems. Basic data CGM data can show us is how much our …
This is a question we often see discussed, but I think some of those discussions miss an important issue which I’m going to explore here. The HbA1c blood test shows us how much of the haemoglobin in our blood has been “glycated” (bonded with glucose). We’re often shown that value in the context of trying …
Last month I mentioned that I had modified the parameters I was using for the insulin activity/IOB modelling in my AID/loop system. Specifically, for Lyumjev and for Humalog I’m now using 9 hours in the exponential IOB model. I showed statistics from two 4-week samples of Lyumjev, and then a 7-day sample using this timing …
More and more CGM software packages are doing away with “estimated HbA1c” and replacing it with GMI. A recent example was the revamped Sugarmate after they re-wrote their Dexcom interface and had to comply with the requirements of the Dexcom official interface. Unfortunately for me, I’m one of the people that GMI does not produce …
This article is a followup to yesterday’s comments about my last year of using an Automated Insulin Delivery system that has been managing all my food for me. Today I’ll drill down into some insights from the CGM data. I have done similar analyses in the past, but it’s time for a refresh. My looping …