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

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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.… Click to show full 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 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)

Keywords: cgm data; variability derived; none; glycemic variability; variability; without diabetes

Journal Title: Diabetes
Year Published: 2020

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