Answers are grounded in this paper and cite their sources.
Retrospective analysis shows average glucose and coefficient of variation predict hypoglycemia risk in type 2 diabetes, indicating better monitoring is needed.
Aims/Introduction This study determined the usefulness of coefficient of variation (%CV) and average glucose (AG) from 6‐point pre‐ and postprandial blood glucose measurements in assessing hypoglycemia risk in type 2 diabetes. Materials and Methods We retrospectively analyzed 24‐h continuous glucose monitoring data of 233 patients treated with sulfonylureas or insulin. Hypoglycemia was defined as level 1 (<70 mg/dL) or level 2 (<54 mg/dL). Results The 6‐point AG and %CV were 182.9 mg/dL and 23.9%, respectively, for all patients, whereas they were 155.8 mg/dL and 29.8% in patients with level 1 hypoglycemia. Receiver operating characteristic analysis determined cutoff values of 167.7 mg/dL for AG and 21.6% for %CV for predicting level 1 hypoglycemia. Using these thresholds as hypoglycemia risk factors, the incidence was evaluated in the three groups according to the number of risk factors. The incidence of both levels 1 and 2 hypoglycemia increased significantly with increase in the number of risk factors. Compared to risk factor‐free patients, the odds ratios for level 1 hypoglycemia were 12.1 and 1.4 in those with two and one risk factor, respectively. Conclusions Our findings suggest that the AG and %CV derived from 6‐point glucose measurements can be potentially useful for detecting hypoglycemia risk.
No takes yet. Share an insight, caveat, or question.
Soga et al. (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: