High-Amplitude and Prolonged Glucose Excursions as a Key Determinant of Discordance Between Glucose Management Indicator and Glycated Hemoglobin in Type 1 Diabetes

View at publisher
Authors: Soojin Park, So Hyun Cho, Seohyun Kim, Sang Ho Park, Jae‐Joong Kim, Rosa Oh, Myunghwa Jang, You-Bin Lee, G S. Kim, Kyu Yeon Hur, Jae‐Joong Kim, Sang-Man Jin
Cited by: 1
References: 26

Abstract

OBJECTIVE: Discordance between the glucose management indicator (GMI) and hemoglobin A1c (HbA1c) is frequently observed in diabetes, yet its physiological basis remains unclear. This study investigated how specific glucose excursion patterns captured by continuous glucose monitoring (CGM) contribute to this discordance in individuals with type 1 diabetes. RESEARCH DESIGN AND METHODS: Ninety-day CGM traces from 611 adults with type 1 diabetes were paired with HbA1c results obtained within ±15 days. Glucose excursions were quantified using the glucose rate increase detector (GRID) algorithm with varied peak glucose and time-to-peak thresholds. Discordance was defined using GMI-to-HbA1c and updated GMI (uGMI)-to-HbA1c ratios, and associations with GRID-derived excursion metrics were evaluated alongside conventional CGM-derived variability metrics. RESULTS: Excursions with peak glucose ≥250 mg/dL and time to peak ≥90 min were significantly associated with higher uGMI-to-HbA1c ratios after adjustment for age, sex, estimated glomerular filtration rate, and HbA1c group, with consistent findings across CGM devices (sensor type 1: β = 0.174, 95% CI 0.147-0.201; sensor type 2: β = 0.102, 95% CI 0.068-0.136; both P < 0.001) and alternative GMI formulations. In restricted cubic spline analyses, adjustment for GRID-derived excursion metrics differentially reshaped the associations of HbA1c, GMI, and uGMI with albuminuria and elevated triglyceride-glucose index in an outcome- and context-dependent manner, preferentially enhancing the informativeness of GMI and uGMI but not HbA1c. CONCLUSIONS: Frequent high and prolonged glucose excursions were consistently associated with GMI-HbA1c discordance across devices, HbA1c strata, and analytic conditions. GRID-derived excursion metrics modify the relationship between GMI/uGMI and glycemia-associated risk.

Fields of Study & Subjects

Diabetes Management and Research Diabetes Cardiovascular Risks and Lipoproteins Diabetes Management and Education

Publication details

Journal / source
Diabetes Care
Publisher
American Diabetes Association
Volume
49
Issue
7
Pages
1221–1230
Publication date
4 May 2026
Language
EN