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 …
I am dependent on insulin to survive, and like everyone else in that category I need to get the dosing right in order to survive and to stay healthy.. This dosing is affected by diet, exercise, and a myriad of other factors. But unlike many people I have a guardian angel that manages most of …
Back in February I wrote about some of my experiences with “Living with an actual closed loop“. Time has ticked by, it’s now been 4 months since my last bolus, and I’ve just come back from a meeting with my endocrinologist. To re-cap: I have my AndroidAPS setup tuned fairly well (and using Fiasp in …
I’ve been gradually making tweaks to my personal looping/pumping/CGM setup over the last year, and there are some insights to be seen in the graphs that I’d like to point out. Some of the information in this article is stuff I’ve discussed before (last March) but there is some new data here. Especially some insights …
The HbA1c blood test is one that most people with diabetes are familiar with, at least to some extent. It measures the proportion of haemoglobin in our blood that has bonded with glucose, and is regarded as an indicator of your average BG levels over the preceding 3 months. “What’s your HbA1c?” is a question …
Talk of “Time in Range” and goal ranges regarding BG and CGM data is a common thing these days. I have written about Targets and Goals in the past. Various different pieces of software let you define your “low” and “high” marks to define your goal range, and then report statistics on what percentage of TiR …