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.

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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)

© 2020 by the American Diabetes Association
2020
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