A0772
Title: A comparative study of digital biomarkers of variability in glucose levels among individuals with type I diabetes
Authors: Adi Andrei - Northwestern University (United States) [presenting]
Abstract: Type I diabetes (T1D) is an autoimmune condition characterized by the destruction of insulin-producing beta cells in the pancreas, leading to a lifelong dependency on insulin therapy. Continuous glucose monitoring (CGM) technology has emerged as a valuable tool for evaluating and maintaining adequate glycemic control in individuals with T1D. While maintaining good average glycemic control is important, it is not sufficient to robustly characterize the risk profile of individuals with T1D. Despite similar average blood glucose levels, individuals may present vastly different glucose variability patterns, leading to different clinical risks and outcomes. Day-to-day variability metrics inform how much glucose patterns differ from one day to the next and, unlike variability measures that focus on fluctuations within a single day, assess the reproducibility of glucose control across multiple days. Consequently, such metrics reveal whether a patient's diabetes management is consistently effective and may inform treatment optimization and insulin dose adjustments. Leveraging CGM data collected in a recent T1D clinical trial, daily glucose variability measures are quantified and compared based on cumulative distribution functions. Findings suggest that strategies aimed at reducing the day-to-day glucose level variability have the potential to result in superior personalized glycemic control clinical recommendations.
