Evaluation of glycemia risk index and continuous glucose monitoring-derived metrics in type 1 diabetes: a real-world observational study

被引:0
|
作者
Al Hayek, Ayman [1 ]
Al Mashali, Malak [2 ]
Al Dawish, Mohamed A. [1 ]
机构
[1] Prince Sultan Mil Med City, Diabet Treatment Ctr, Dept Endocrinol & Diabet, POB 7897, Riyadh 11159, Saudi Arabia
[2] Prince Sultan Mil Med City, Point Care Div, Cent Lab & Blood Bank, Riyadh, Saudi Arabia
关键词
Glycemia risk index; Glycemic assessment; Glycemic variability; Glucose management indicator; Type; 1; diabetes; QUALITY-OF-LIFE; ADULTS; RANGE; TIME; CHALLENGES; CHILDREN;
D O I
10.1007/s40200-025-01569-w
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives The Glycemia Risk Index (GRI) quantifies the risk of glycemic events by considering both hypoglycemic and hyperglycemic episodes, offering a comprehensive evaluation of glycemia. While associations between GRI and various glycometric indicators have been established in clinical trials using continuous glucose monitoring (CGM), real-world assessments, particularly with intermittent scanning CGM (isCGM), are underexplored. This study examines these associations and their clinical implications in individuals with Type 1 Diabetes (T1D). Methods We conducted a retrospective study involving individuals with T1D undergoing intensive insulin therapy. All participants had used isCGM for at least three months. We collected clinical, metabolic, and glycemic data and calculated the GRI, with its components for hypoglycemia (CHypo) and hyperglycemia (CHyper). We then assessed the correlation between the GRI and traditional glycemic metrics in relation to the coefficient of variation (CV). Results The study included 194 patients (105 males, 89 females) with a median age of 21.5 years for adults and 16 years for adolescents. Of these, 62.4% were on multiple daily injections, and 37.6% used insulin pumps. GRI showed a significant negative correlation with Time in Range (%TIR70 - 180) (p < 0.001) and a positive association with various glycemic measures such as glycemic variability (r = 0.33, p < 0.001). Individuals with lower glycemic variability (CV< 36%) had significantly higher %TIR70 - 180 (63% vs. 39%, p < 0.01) and lower GRI (40 vs. 45.8, p < 0.01), CHyper (20 vs. 24, p = 0.01), and CHypo (2.6 vs. 3.4, p < 0.01). Conclusions GRI correlates with key glycemic metrics, indicating its potential utility in comprehensive glycemia assessment. These findings highlight the importance of individualized treatment approaches and suggest GRI's clinical relevance in optimizing glycemic management strategies for individuals with T1D.
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页数:8
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