Abstract
ABSTRACTBackgroundEfficiently detecting impaired glucose control abilities is a pivotal challenge in public health. This study assessed the utility of relatively easy-to-measure continuous glucose monitoring (CGM)-derived indices in estimating glucose handling capacities calculated from resource-intensive clamp tests.MethodsWe conducted a prospective, single-center, observational cohort study of 64 individuals without prior diabetes diagnosis. The study utilized CGM, oral glucose tolerance test, and hyperglycemic and hyperinsulinemic-euglycemic clamp tests. We validated CGM-derived indices characteristics using an independent dataset and mathematical model with simulated data.FindingsA novel CGM-derived index, AC_Var, was significantly correlated with insulin sensitivity (r = –0.31; 95% CI: –0.52 to –0.06), insulin clearance (r = –0.31; 95% CI: –0.54 to –0.06), and disposition index (DI) (r = –0.31; 95% CI: –0.52 to –0.07) calculated from clamp tests.AC_Var was also significantly correlated with insulin resistance (r = 0.48; 95% CI: 0.23 to 0.68) in an independent dataset. Multivariate analyses indicated AC_Var’s contribution to predicting reduced blood glucose control abilities independent from conventional CGM-derived indices. The prediction model’s accuracy utilizing CGM-measured glucose standard deviation and AC_Var as input variables, with clamp-derived DI as the outcome, closely matched that of predicting clamp- from OGTT-derived DI. Mathematical simulations also underscored AC_Var’s association with insulin clearance and DI.InterpretationCGM-derived indices, including AC_Var, can be useful for screening decreased blood glucose control ability. We developed a web application that calculates these indices (https://cgm-ac-mean-std.streamlit.app/).FundingThe Japan Society for the Promotion of Science KAKENHI, CREST, Japan Science and Technology Agency, and Uehara Memorial Foundation.
Publisher
Cold Spring Harbor Laboratory
Cited by
1 articles.
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