863-P: In Patients without Diabetes, Glycemic Variability Derived from Continuous Glucose Monitoring (CGM) Data Relates to Hyperglycemia More Than Insulin Resistance

Abstract

In adults without diabetes, the relationship between CGM derived glycemic variability and glycemic measures is unknown. We hypothesized that greater dysglycemia will be associated with greater 2 week glycemic variability. Methods: Subjects without self-reported diabetes [n=22, 19F/3M, mean (SD): 44.8 (12.1) years, 34.4 (7.4) kg/m2, HbA1c: 5.5% (0.4) underwent 2 hr OGTT followed by 14 days of CGM (FreestyleLibrePro). Subjects were classified as either normal or dysglycemic using several glycemic measures [based on HbA1c, disposition index, HOMA-IR, Matsuda (Table1)]. Multiple assessments of glycemic variability were derived from CGM data (Table1). Results: Across all subjects, HbA1c significantly correlated with mean glucose, J-index, High blood glucose index and Area under the curve (r=0.4-0.5, p<0.05). HbA1c negatively correlated with Time in Range (70-99 mg/dl, r=-0.51, p<0.05). Glycemic variability measures did not correlate with HOMA-IR, Matsuda, or disposition index. Similar results were found when comparing glycemic variability measures between dysglycemia groups. Conclusion: In patients without diabetes, greater glycemic variability was associated with greater Hba1c. These findings support hyperglycemia rather than insulin resistance as the primary driver in glycemic variability in this population. Disclosure Y. Zhang: None. E.A. Olawsky: None. A.C. Alvear: None. L.E. Eberly: None. L.S. Chow: None. Funding National Institutes of Health (UL1TR002494); Healthy Foods Healthy Lives Institute (17SFR-2YR50LC)