DETAILED EVALUATION OF THE RELATIONSHIP BETWEEN INTERMEDIATE-TERM GLYCEMIC VARIABILITY AND HYPOGLYCEMIA USING CONTINUOUS GLUCOSE MONITOR DATA
- SOICHI Takeishi, Japan
- SOICHI Takeishi, Japan
- Hiroki Tsuboi, Japan
Abstract
Background and Aims
The relationship between intermediate-term glycemic variability and hypoglycemia is well unknown, therefore, we analyzed that relationship using continuous glucose monitor (CGM) data.
Methods
We cross-sectionally analyzed CGM (FreeStyle Libre Pro) data for 97 patients with type 2 diabetes whose 24 h glucose levels were measured continuously for 13 days during hospitalization for type 2 diabetes treatment. Values over a span of 13 days for all glycemic variability and hypoglycemia metrics were evaluated. We have proposed novel glycemic variability metrics as follows: mean of daily difference 1 (MODD1) ÷ mean glucose level × 100 (MODD1/mean), mean absolute glucose (MAG) ÷ mean glucose level × 100 (MAG/mean), and glycemic variability percentage (GVP) ÷ mean glucose level × 100 (GVP/mean).
Results
The standard deviation (SD), MODD1, MAG, GVP, and the mean glucose level significantly negatively correlated with the percentage of time in the hypoglycemic range (< 70 mg/dL) [TIR < 70] (r = -0.32 – -0.75, p = 0.002 ~ < 0.001). Coefficient of variation (CV) tended to correlate with TIR < 70 positively. MODD1/mean, MAG/mean, and GVP/mean significantly positively correlated with TIR < 70. CV, MODD1/mean, MAG/mean, and GVP/mean significantly positively correlated with the percentage of time in the hypoglycemic range (< 54 mg/dL) [TIR < 54] (Table).
Conclusions
Intermediate-term glycemic variability which is divided by the mean glucose level may predict hypoglycemia.