Episode Timestamps
02:04 - CGM Data to Predict Diabetes Complications
05:15 - Time in Range and Microvascular Complications
9:36 - Glycemic Variability and Incident Diabetic Retinopathy
12:17 - Time in Range, CGM Data for Predicting CV Outcomes
In the study, investigators included 92 adults without diabetic retinopathy 71 adults with incident diabetic retinopathy who received care between June 2018 and March 2022. Leveraging CGM data collected retrospectively for up to 7 years before the date of eye examination defining incident diabetic retinopathy or control, investigators planned to aestivate associations between incident diabetic retinopathy and CGM metrics using logistic regression models.1
The cohort of adults with incident diabetic retinopathy had a mean age of 27 years, a mean diabetes duration of 15 years, and 52% were females. The cohort of controls had a mean age of 38 years, a mean diabetes duration of 20 years, and 48% were females.1
Upon adjustment, results of the investigators’ analyses revealed each 0.5% increase in HbA1c, 10 mg/dL increase in mean glucose, 5% decrease in time in target range of 70–180 mg/dL, 5% decrease in time in tight target range of 70–140 mg/dL, and 5% increase in time above 180 mg/dLwere associated with 24%, 22%, 18%, 28%, and 20% increase in odds of incident diabetic retinopathy, respectively. Investigators pointed out the Spearman correlations of time in range, time in tighter range, time above range, and mean glucose with each other were all equal to or greater than 0.97.1
This study, its results, and the utility of advanced CGM metrics in guiding careare the subject of this episode of Diabetes Dialogue, with Diana Isaacs, PharmD, an endocrine clinical pharmacist, director of Education and Training in Diabetes Technology, and codirector of Endocrine Disorders in Pregnancy at the Cleveland Clinic, and Natalie Bellini, DNP, program director of Diabetes Technology at University Hospitals Diabetes and Metabolic Care Center.