Glycemia Risk Index is Associated With Risk of Albuminuria Among Individuals With Type 1 Diabetes.

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM

Journal of Diabetes Science and Technology Pub Date : 2025-01-08 DOI:10.1177/19322968241310850

Ji Yoon Kim, Jee Hee Yoo, Nam Hoon Kim, Jae Hyeon Kim

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Abstract

Background: The glycemia risk index (GRI) is a novel composite continuous glucose monitoring (CGM) metric composed of hypoglycemia and hyperglycemia components and is weighted toward extremes. This study aimed to investigate the association between GRI and the risk of albuminuria in type 1 diabetes.

Methods: The 90-day CGM tracings of 330 individuals with type 1 diabetes were included in the analysis. Glycemia risk index was divided into five risk zones (A-E), and hypoglycemia and hyperglycemia components were divided into quintiles. Albuminuria was defined as a spot urine albumin-to-creatinine ratio ≥30 mg/g. Associations of albuminuria with GRI and its hypoglycemia and hyperglycemia components were estimated.

Results: Mean GRI and glycated hemoglobin (HbA1c) were 40.9 ± 21.3 and 7.3 ± 1.0%, respectively, and the overall prevalence of albuminuria was 17.6%. Prevalence of albuminuria differed significantly by GRI zone (P = .023). In logistic regression analysis, the adjusted odds ratio (OR) of albuminuria per increase in the GRI zone was 1.70 (95% confidence interval [CI]: 1.19-2.41) after adjusting for various factors affecting albuminuria. The association remained significant after adjusting for achievement of the recommended target of time in range (70-180 mg/dL; >70%) or HbA1c (<7%). The hyperglycemia component of GRI was also associated with albuminuria, and the association remained significant even after adjusting for HbA1c level itself (adjusted OR 1.44, 95% CI: 1.05-1.98).

Conclusions: Glycemia risk index is significantly associated with albuminuria in individuals with type 1 diabetes.

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1型糖尿病患者血糖风险指数与蛋白尿风险相关

背景：血糖危险指数（GRI）是一种新型的复合连续血糖监测（CGM）指标，由低血糖和高血糖组成，并向极值加权。本研究旨在探讨GRI与1型糖尿病患者蛋白尿风险之间的关系。方法：对330例1型糖尿病患者的90天CGM追踪进行分析。血糖危险指数分为5个危险区（A-E），低血糖和高血糖成分分为五分位数。蛋白尿定义为尿白蛋白与肌酐比值≥30mg /g。估计蛋白尿与GRI及其低血糖和高血糖成分的关系。结果：平均GRI和糖化血红蛋白（HbA1c）分别为40.9±21.3和7.3±1.0%，蛋白尿总患病率为17.6%。不同GRI区蛋白尿患病率差异有统计学意义（P = 0.023）。在logistic回归分析中，对影响蛋白尿的各种因素进行校正后，GRI区每增加蛋白尿的校正优势比（OR）为1.70（95%可信区间[CI]: 1.19-2.41）。在达到推荐的时间目标(70-180 mg/dL；结论：1型糖尿病患者血糖危险指数与蛋白尿显著相关。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Diabetes Science and Technology Medicine-Internal Medicine

CiteScore

7.50

自引率

12.00%

发文量

148

期刊介绍： The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.