Factors Predictive of Severe Hypoglycemia in Type 1 Diabetes Analysis from the Juvenile Diabetes Research Foundation continuous glucose monitoring randomized control trial dataset DIABETES CARE Fiallo-Scharer, R., Cheng, J., Beck, R. W., Buckingham, B. A., Chase, H. P., Kollman, C., Laffel, L., Lawrence, J. M., Mauras, N., Tamborlane, W. V., Wilson, D. M., Wolpert, H., Bode, B., Ruedy, K. J., Weinzimer, S., Xing, D. 2011; 34 (3): 586-590

Abstract

Identify factors predictive of severe hypoglycemia (SH) and assess the clinical utility of continuous glucose monitoring (CGM) to warn of impending SH.In a multicenter randomized clinical trial, 436 children and adults with type 1 diabetes were randomized to a treatment group that used CGM (N = 224), or a control group that used standard home blood glucose monitoring (N = 212) and completed 12 months of follow-up. After 6 months, the original control group initiated CGM while the treatment group continued use of CGM for 6 months. Baseline risk factors for SH were evaluated over 12 months of follow-up using proportional hazards regression. CGM-derived indices of hypoglycemia were used to predict episodes of SH over a 24-h time horizon.The SH rate was 17.9 per 100 person-years, and a higher rate was associated with the occurrence of SH in the prior 6 months and female sex. SH frequency increased eightfold when 30% of CGM values were = 70 mg/dL on the prior day (4.5 vs. 0.5%; P < 0.001), but the positive predictive value (PPV) was low (<5%). Results were similar for hypoglycemic area under the curve and the low blood glucose index calculated by CGM.SH in the 6 months prior to the study was the strongest predictor of SH during the study. CGM-measured hypoglycemia over a 24-h span is highly associated with SH the following day (P < 0.001), but the PPV is low.

View details for DOI 10.2337/dc10-1111

View details for Web of Science ID 000288145400010

View details for PubMedID 21266651

View details for PubMedCentralID PMC3041185