Cross‐sectional association of continuous glucose monitoring‐derived metrics with cerebral small vessel disease in older adults with type 2 diabetes

Abstract

AbstractAimTo examine cross‐sectional associations between continuous glucose monitoring (CGM)‐derived metrics and cerebral small vessel disease (SVD) in older adults with type 2 diabetes.Materials and MethodsIn total, 80 patients with type 2 diabetes aged ≥70 years were analysed. Participants underwent CGM for 14 days. From the CGM data, we derived mean sensor glucose, percentage glucose coefficient of variation, mean amplitude of glucose excursion, time in range (TIR, 70‐180 mg/dl), time above range (TAR) and time below range metrics, glycaemia risk index and high/low blood glucose index. The presence of cerebral SVD, including lacunes, microbleeds, enlarged perivascular spaces and white matter hyperintensities, was assessed, and the total number of these findings comprised the total cerebral SVD score (0‐4). Ordinal logistic regression analyses were performed to examine the association of CGM‐derived metrics with the total SVD score.ResultsThe median SVD score was 1 (interquartile range 0‐2). Higher hyperglycaemic metrics, including mean sensor glucose, TAR >180 mg/dl, TAR >250 mg/dl, and high blood glucose index and glycaemia risk index, were associated with a higher total SVD score. In contrast, a higher TIR (per 10% increase) was associated with a lower total SVD score (odds ratio 0.73, 95% confidence interval 0.56‐0.95). Glycated haemoglobin, percentage glucose coefficient of variation, mean amplitude of glucose excursions, time below range and low blood glucose index were not associated with total cerebral SVD scores.ConclusionsThe hyperglycaemia metrics and TIR, derived from CGM, were associated with cerebral SVD in older adults with type 2 diabetes.