Ayman Al Hayek, Malak Al Mashali, Mohamed A Al Dawish
{"title":"Evaluation of glycemia risk index and continuous glucose monitoring-derived metrics in type 1 diabetes: a real-world observational study.","authors":"Ayman Al Hayek, Malak Al Mashali, Mohamed A Al Dawish","doi":"10.1007/s40200-025-01569-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>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).</p><p><strong>Methods: </strong>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).</p><p><strong>Results: </strong>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 (%TIR<sub>70 - 180</sub>) (<i>p</i> <i> < 0.001</i>) and a positive association with various glycemic measures such as glycemic variability (<i>r</i> = 0.33, <i>p</i> < 0.001). Individuals with lower glycemic variability (CV<sub>< 36%</sub>) had significantly higher %TIR<sub>70 - 180</sub> (63% vs. 39%, <i>p</i> < 0.01) and lower GRI (40 vs. 45.8, <i>p</i> < 0.01), CHyper (20 vs. 24, <i>p</i> = 0.01), and CHypo (2.6 vs. 3.4, <i>p</i> < 0.01).</p><p><strong>Conclusions: </strong>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.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s40200-025-01569-w.</p>","PeriodicalId":15635,"journal":{"name":"Journal of Diabetes and Metabolic Disorders","volume":"24 1","pages":"59"},"PeriodicalIF":1.6000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11787086/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes and Metabolic Disorders","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40200-025-01569-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/6/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
Abstract
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.
Supplementary information: The online version contains supplementary material available at 10.1007/s40200-025-01569-w.
期刊介绍:
Journal of Diabetes & Metabolic Disorders is a peer reviewed journal which publishes original clinical and translational articles and reviews in the field of endocrinology and provides a forum of debate of the highest quality on these issues. Topics of interest include, but are not limited to, diabetes, lipid disorders, metabolic disorders, osteoporosis, interdisciplinary practices in endocrinology, cardiovascular and metabolic risk, aging research, obesity, traditional medicine, pychosomatic research, behavioral medicine, ethics and evidence-based practices.As of Jan 2018 the journal is published by Springer as a hybrid journal with no article processing charges. All articles published before 2018 are available free of charge on springerlink.Unofficial 2017 2-year Impact Factor: 1.816.