For years now I have been avoiding CGM data hassles by overlapping the start of a new sensor with the end of the previous one. I first wrote about this back in 2020: Minimizing CGM gaps. This does mean I essentially use two CGM programs, one tracking the new sensor until I decide it’s trustworthy …
When making changes to our diabetes management we sometimes see changes in our total insulin consumption. And it’s easy to jump to conclusions regarding cause and effect. Whether it’s a new insulin, a different diet, a new adjunctive treatment, changes to exercise and body composition, or whatever. It’s easy for example to look at the …
Much of the research into diabetes and its management (including using tech) still suffers from the trope of being based on “white guys”. For some years now there have been efforts to make the research populations more diverse, but there is still an imbalance that ignores that facts that women are exposed to different hormone …
Recently I wrote an article about how day-to-day highs and lows can even out over time. I mentioned at the end that this was only an average across 21 days, not the 60-day statistics that I usually consider (including when comparing with my HbA1c blood tests). Well now those 60 days are up, so here’s …
I was recently discussing with others their occasional issue of noticing “stinging” from Fiasp and Lyumjev insulins. Curious, I looked at a block of 7 of my recent days, and counted the boluses the system delivered. In that time there were 639 boluses, which is an average of 91 per day. Overall I do seem …
I’ve written in the past about “Streaking“, and how expectations of getting 100% Time-In-Range can be unreasonable. Any of us can be within range for 5 minutes, but the longer and longer we measure the harder and harder it gets to not cross either of those borders. Unless the range is unreasonably large of course. …