中国全科医学 ›› 2023, Vol. 26 ›› Issue (15): 1873-1879.DOI: 10.12114/j.issn.1007-9572.2022.0749

• 论著·血糖波动 • 上一篇    下一篇

葡萄糖在目标范围内时间与糖尿病肾脏疾病的相关性研究

舒涛1, 郭正1, 王飞2, 陈书艳2,*()   

  1. 1.200092 上海市,上海交通大学医学院附属新华医院全科医学科
    2.200092 上海市,上海交通大学医学院附属新华医院老年医学科
  • 收稿日期:2022-05-24 修回日期:2023-01-10 出版日期:2023-05-20 发布日期:2023-02-03
  • 通讯作者: 陈书艳

  • 作者贡献:舒涛进行文章的构思与设计、数据管理、统计学处理、结果的分析与解释、论文撰写,对文章整体负责;舒涛、郭正进行数据收集、整理;舒涛、郭正、陈书艳进行研究的实施和可行性分析;舒涛、王飞、陈书艳进行文章的修订,负责文章的质量控制及审校,监督管理。

Analysis of the Correlation between Time in Range and Diabetic Kidney Disease

SHU Tao1, GUO Zheng1, WANG Fei2, CHEN Shuyan2,*()   

  1. 1. Department of General Practice, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
    2. Department of Geriatrics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
  • Received:2022-05-24 Revised:2023-01-10 Published:2023-05-20 Online:2023-02-03
  • Contact: CHEN Shuyan

摘要: 背景 葡萄糖在目标范围内时间(TIR)是近年兴起的糖尿病血糖管理的新指标。研究证实TIR与糖尿病慢性并发症存在密切联系。目前对TIR与糖尿病肾脏疾病(DKD)的研究主要集中在蛋白尿方面,常忽视了估算肾小球滤过率(eGFR)在其中的作用,且对TIR评价血糖控制的切点划分的研究较少。 目的 探讨TIR与2型糖尿病(T2DM)发生DKD的关系,为临床及时发现、诊治T2DM患者出现DKD提供理论依据。 方法 纳入2021年7—12月在上海交通大学医学院附属新华医院内分泌科住院的214例T2DM患者,收集患者一般资料、实验室检查指标及用药情况。根据尿白蛋白/肌酐比值(UACR)和eGFR结果,将患者分为DKD组〔UACR≥30 mg/g和/或eGFR<60 ml·min-1(1.73 m2)-1,n=58〕和单纯T2DM组〔UACR<30 mg/g和eGFR≥60 ml·min-1(1.73 m2)-1,n=156〕;采用TIR值40%、70%、85%作为切点将患者分为TIR1组(TIR>85%,n=90)、TIR2组(70%<TIR≤85%,n=51)、TIR3组(40%<TIR≤70%,n=57)、TIR4组(TIR≤40%,n=16)。采用多因素Logistic回归分析探讨TIR与T2DM患者发生DKD的关系。 结果 随着TIR水平下降,T2DM患者DKD发生率呈升高趋势(P趋势<0.05)。多因素Logistic回归分析结果显示,校正多种因素后,TIR是T2DM患者发生DKD的影响因素〔OR=0.976,95%CI(0.953,0.999),P=0.047〕;调整各种混杂因素后,TIR3组、TIR4组相较于TIR1组是T2DM患者发生DKD的影响因素〔OR=5.287,95%CI(1.897,14.737),P=0.001;OR=4.712,95%CI(1.143,19.424),P=0.032〕,随着TIR水平的降低,T2DM患者DKD发生风险呈增高趋势(P趋势=0.010)。 结论 TIR是T2DM患者发生DKD的影响因素;随着TIR下降,T2DM患者DKD发生率明显增加。

关键词: 糖尿病肾脏疾病, 2型糖尿病, 葡萄糖在目标范围内时间, 肾小球滤过率, 影响因素分析, Logistic模型

Abstract:

Background

Time in range (TIR) is a new indicator of glycemic management in diabetes mellitus which has been thriving in recent years. Studies have confirmed that TIR is closely associated with chronic complications of diabetes. Previous studies have confirmed a close association between TIR and chronic complications of diabetes. Current studies on TIR and diabetic kidney disease (DKD) mainly focus on proteinuria, however the role of glomerular filtration rate (eGFR) in it is often neglected, and there are few studies on the cut points of TIR in evaluating glycemic control.

Objective

To investigate the relationship between TIR and the development of DKD in type 2 diabetes mellitus (T2DM), so as to provide theoretical foundations for the timely clinical detection, diagnosis and treatment of DKD in patients with T2DM.

Methods

A total of 214 T2DM patients admitted to the Department of Endocrinology in Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from July 2021 to December 2021 were included. The general data, laboratory indices and medication use were collected. The included patients were divided into group of DKD〔UACR ≥ 30 mg/g and/or eGFR < 60 ml·min-1 (1.73 m2) -1, n=58〕 and group of T2DM alone〔UACR<30 mg/g and eGFR≥60 ml·min-1 (1.73 m2) -1, n=156〕 based on the urinary albumin/creatinine ratio (UACR) and eGFR results, the included patients were further divided into TIR1 group (TIR>85%, n=90), TIR2 group (70%<TIR≤85%, n=51), TIR3 group (40%<TIR≤70%, n=57), and TIR4 group (TIR≤40%, n=16) using TIR values of 40%, 70%, and 85% as the cut points. Multivariate Logistic regression analysis was used to analyze the relationship between TIR and the development of DKD in T2DM patients.

Results

The detection rate of DKD in T2DM patients tended to increase with decreasing TIR levels (Ptrend <0.05). The results of multivariate Logistic regression analysis showed that TIR was an influencing factor for the development of DKD in T2DM patients after adjusting for variables〔OR=0.976, 95%CI (0.953, 0.999), P=0.047〕; TIR3 and TIR4 groups were influencing factors for the development of DKD in T2DM patients compared to TIR1 group〔OR=5.287, 95%CI (1.897, 14.737), P=0.001; OR=4.712, 95%CI (1.143, 19.424), P=0.032〕 after adjusting for various confounding variables, and the incidence risk of DKD in T2DM patients tended to increase with decreasing TIR levels (Ptrend=0.010) .

Conclusion

TIR is an influencing factor for the development of DKD in T2DM patients; the incidence rate of DKD in T2DM patients increases significantly with the decreasing levels of TIR.

Key words: Diabetic nephropathies, Diabetes mellitus, type 2, Time in range, Glomerular filtration rate, Root cause analysis, Logistic models