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Study Design 

This study will include patients with type 1 diabetes who use continuous glucose monitors, own data-enabled smart phones or who are willing to use CGMs with a smart phone-based application. All study participants will maintain their previously determined insulin regimen. This study will not introduce any new medications or unapproved medical devices.

All participants will have access to/be required to use the devices and apps used in this study to assess the various impacts of glycemic variability.

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Hannah8803's picture
Could we incorporate A1C into this and compare what a patient's A1C is to what the study shows their glycemic variability to be? This could be critical in showing why glycemic variability is so important to understand and why we should move away from A1C. Or, have a control group who only knows their A1C compared to the other group who are using the glycemic variability collection methods, and see how it changes how they manage their diabetes and the study outcomes.
rhuber's picture
I really believe we should invite more people to this study.
jlfisher's picture
There are, of course, a number of variables that effect glycemic variability that need to be controlled. Most obviously, we don't eat the exact same foods everyday, and exercise and other activities have major effects on blood glucose. How will these factors be controlled in the study? It might not be relevant, but here's one personal observation that might relate to this (or some future) study. I cycle seven miles to work almost every weekday. The amount my BG drops on my commute is quite variable despite the regular workout at the same exertion. For instance, I will have to carb up for a drop of about 100 for several weeks, and then suddenly I'll only drop about 50. This does not seem to correlate with climate (e.g., hot-->dehydration-->lower drop).