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Glucose abnormalities detected by continuous glucose monitoring in very old adults with and without diabetes

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posted on 2024-12-20, 17:24 authored by Natalie R. Daya, Michael Fang, Dan Wang, Arielle Valint, B. Gwen Windham, Josef Coresh, Justin B. Echouffo-Tcheugui, Elizabeth Selvin

Objective: To characterize the prevalence of CGM-defined glucose abnormalities in a large, community-based population of very old adults (>75 years). Research Design and Methods: A cross-sectional analysis of 1,150 older adults with and without diabetes who attended the Atherosclerosis Risk in Communities Study (2021-2022). Diabetes was based on a self-reported diagnosis of diabetes by a health care provider, use of diabetes medication, or an HbA1c≥6.5%. Prediabetes was defined as an HbA1c 5.7%-<6.5% and normoglycemia as an HbA1c<5.7%. We analyzed CGM metrics including mean glucose, measures of hyperglycemia and the coefficient of variation, by diabetes status. Results: Of the 1,150 participants (mean age 83 years, 59% women, 26% who are Black), 35.1% had normoglycemia, 34.5% had prediabetes and 30.4% had diabetes. The summary 24-hour ambulatory glucose profile for participants with prediabetes was very similar to those with normoglycemia. No participants with normoglycemia or prediabetes had a CGM mean glucose >140 mg/dL, while 32.7% of participants with diabetes had a CGM mean glucose >140 mg/dL. Conclusion: In very old adults with normal or prediabetic HbA1c, hyperglycemia detected by CGM was rare. This suggests that HbA1c adequately captures the burden of hyperglycemia for most people in this population.

Funding

The Atherosclerosis Risk in Communities study has been funded in whole or in part with Federal funds from the National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, under Contract nos. (75N92022D00001, 75N92022D00002, 75N92022D00003, 75N92022D00004, 75N92022D00005). The authors thank the staff and participants of the ARIC study for their important contributions. Ms. Daya was supported by the NIH/NHLBI grant T32 HL007024. Dr. Fang was supported by the NIH/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) grant K01 DK138273. Dr. Windham was supported by the NIH/National Institute on Aging (NIA) grant R01 AG054787. Dr. Echouffo-Tcheugui was supported by the NIH/NHLBI grant K23 HL153774. Dr. Selvin was supported by NIH/NHLBI grants K24 HL152440 and R01 HL158022. This research was also supported by NIH/NIDDK grants R01 DK128837 and R01 DK128900, and NIH/NIA grant RF1 AG074044 to Dr. Selvin. Abbott Diabetes Care provided continuous glucose monitoring systems for this investigator-initiated research.

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