Continuous glucose monitoring‑derived time in range and CV are associated with elevated risk of adverse kidney outcomes for patients with type 2 diabetes

IF 4.6 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Qin Zhang , Shucai Xiao , Fang Zou , Xiaojuan Jiao , Yunfeng Shen
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引用次数: 0

Abstract

Current guidelines recommend assessing glycemic control using continuous glucose monitoring (CGM), which provides a comprehensive glycemic profile to supplement HbA1c measurement. However, the association between CGM-derived metrics and risk of adverse kidney outcomes is not entirely clear. This retrospective cohort study included 1274 patients with type 2 diabetes hospitalized from July 2020 to December 2022, with a median follow-up time of 923 days. Monitor using CGM at baseline and evaluate renal function indicators of participants at baseline and end of follow-up. Multiple CGM-derived metrics, particularly time in range (TIR) and glucose coefficient of variation (CV), were calculated from 3-day glucose profiles obtained from CGM. Relevant clinical data was collected from clinical records and/or patient interviews. The primary outcome was chronic-kidney-disease (CKD) progression. Secondary outcomes included worsening of albuminuria and, all-cause mortality and major-adverse-cardiac-events(MACE). Multivariate regression models were employed to analyze the association between CGM-derived indices, particularly TIR and CV, and the risk of adverse kidney outcomes. We demonstrated that the lower TIR categories had a remarkably increased risk of CKD progression, with a HR per 10 % increment of 0.90 (95 %CI:0.83–0.91). Conversely, higher CV was positively related to the subsequent risk of CKD progression, with an HR per 10 % increment of 1.30 (95 %CI:1.07–1.59). These results were consistent across various subgroups and sensitivity analyses. This study found that TIR and CV are significantly associated with CKD progression, proteinuria deterioration, all-cause mortality, and the risk of MACE. These findings have elasticity in adjusting for multiple covariates and have been confirmed in different subgroups and sensitivity analyses.

Abstract Image

2型糖尿病患者持续血糖监测时间范围和CV与肾脏不良结局风险升高相关。
目前的指南建议使用连续血糖监测(CGM)来评估血糖控制,它提供了一个全面的血糖概况来补充HbA1c测量。然而,cgm衍生指标与不良肾脏结局风险之间的关系尚不完全清楚。本回顾性队列研究纳入了2020年7月至2022年12月住院的1274例2型糖尿病患者,中位随访时间为923天。在基线时使用CGM进行监测,并在基线和随访结束时评估参与者的肾功能指标。多个CGM衍生的指标,特别是范围内时间(TIR)和葡萄糖变异系数(CV),从CGM获得的3天葡萄糖谱计算。从临床记录和/或患者访谈中收集相关临床数据。主要终点是慢性肾脏疾病(CKD)进展。次要结局包括蛋白尿恶化、全因死亡率和主要心脏不良事件(MACE)。采用多变量回归模型分析cgm衍生指数(尤其是TIR和CV)与肾脏不良结局风险之间的关系。我们证明,TIR较低的类别CKD进展的风险显著增加,HR每增加10%为0.90 (95%CI:0.83-0.91)。相反,较高的CV与随后CKD进展的风险呈正相关,每增加10%的HR为1.30 (95%CI:1.07-1.59)。这些结果在不同的亚组和敏感性分析中是一致的。该研究发现,TIR和CV与CKD进展、蛋白尿恶化、全因死亡率和MACE风险显著相关。这些发现在调整多个协变量时具有弹性,并已在不同的亚组和敏感性分析中得到证实。
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来源期刊
Diabetes & metabolism
Diabetes & metabolism 医学-内分泌学与代谢
CiteScore
12.00
自引率
4.20%
发文量
86
审稿时长
13 days
期刊介绍: A high quality scientific journal with an international readership Official publication of the SFD, Diabetes & Metabolism, publishes high-quality papers by leading teams, forming a close link between hospital and research units. Diabetes & Metabolism is published in English language and is indexed in all major databases with its impact factor constantly progressing. Diabetes & Metabolism contains original articles, short reports and comprehensive reviews.
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