医学
1型糖尿病
tar(计算)
相关性
连续血糖监测
糖尿病
内科学
内分泌学
数学
计算机科学
几何学
程序设计语言
摘要
Abstract Aim To evaluate continuous glucose monitoring (CGM) metrics for use as alternatives to glycated haemoglobin ( HbA1c ) to evaluate therapeutic efficacy. Methods We re‐analysed correlations among CGM metrics from studies involving 545 people with type 1 diabetes (T1D), 5910 people with type 2 diabetes (T2D) and 98 people with T1D during pregnancy and the postpartum period. Results Three CGM metrics, interstitial fluid Mean Glucose level, proportion of time above range ( %TAR ) and proportion of time in range ( %TIR ), were correlated with HbA1c and provided metrics that can be used to evaluate therapeutic efficacy. Mean Glucose showed the highest correlation with %TAR ( r = 0.98 in T1D, 0.97 in T2D) but weaker correlations with %TIR ( r = −0.92 in T1D, −0.83 in T2D) or with HbA1c ( r = 0.78 in T1D). %TAR and %TIR were highly correlated ( r = −0.96 in T1D, −0.91 in T2D). After 6 months of use of real‐time CGM by people with T1D, changes in Mean Glucose level were more highly correlated with changes in %TAR ( r = 0.95) than with changes in %TIR ( r = −0.85) or with changes in HbA1c level ( r = 0.52). These metrics can be combined with metrics of hypoglycaemia and/or glycaemic variability to provide a more comprehensive assessment of overall quality of glycaemic control. Conclusion The CGM metrics %TAR and %TIR show much higher correlations with Mean Glucose than with HbA1c and provide sensitive indicators of efficacy. Mean glucose may be the best metric and shows consistently higher correlations with %TAR than with %TIR .
科研通智能强力驱动
Strongly Powered by AbleSci AI