Identifying non-glycemic factors associated with high Glucose variability (GV). A cross-sectional observational study recruited people with type 2 diabetes, who wore a Freestyle Libre Pro CGM. Age, sex, BMI, diabetes medication, diabetes duration, HbA1c and estimated glomerular filtration rate (eGFR). CGM-derived variables calculated included Time-in-Range (TIR, 70-180 mg/dl), below-range 1 (TBR1, 180 mg/dl), coefficient of variation (%CV). A logistic regression model examined independent variables associated with high GV (CV ≥36 %). All analysis was done on R version 4.3.1 RESULTS: T2D cohort (n = 403), 46 % women, had median age of 61 y, BMI of 26.5 kg/m2, diabetes duration 14 y, HbA1c 7.8 %(62 mmol/mol) and creatinine of 75 µmol/L. Using sulphonylurea, premixed or basal-bolus insulin had an odds ratio (OR) of 4.7 - 5.2 for CV ≥ 36 %. Longer diabetes duration OR 1.2, and lower eGFR OR 1.2 were associated with higher odds and older age OR 0.8and higher BMI 0.8 were associated with lower odds of CV≥ 36 %. Sex and HbA1c had no association with high GV. Nonglycemic-factors like medication type, diabetes duration and eGFR can aid in identification of high GV even in low-CGM use settings.
Chandran et al. (Fri,) studied this question.