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糖尿病肾病患者不同胰岛素抵抗指数与全因死亡率之间的关联:一项前瞻性队列研究。

Association between different insulin resistance indices and all-cause mortality in patients with diabetic kidney disease: a prospective cohort study.

作者信息

Zhu Huan, Chen Yinmei, Ding Dexin, Chen Hui

机构信息

Department of Urology, Harbin Medical University Cancer Hospital, Harbin, China.

出版信息

Front Endocrinol (Lausanne). 2025 Jan 13;15:1427727. doi: 10.3389/fendo.2024.1427727. eCollection 2024.

Abstract

AIM

Previous research has shown a strong association between insulin resistance (IR) and both the onset and advancement of diabetic kidney disease (DKD). This research focuses on examining the relationship between IR and all-cause mortality in individuals with DKD.

METHODS

This study utilized data obtained from the National Health and Nutrition Examination Survey (NHANES), spanning the years 2001 to 2018. Insulin resistance was assessed using reliable indicators (HOMA-IR, TyG, TyG-BMI, and METS-IR). The relationship between IR indices and survival outcomes was evaluated through weighted multivariate Cox regression, Kaplan-Meier survival analysis, and restricted cubic spline (RCS) modeling. To examine non-linear associations, the log-likelihood ratio test was employed, with piecewise regression models used to establish confidence intervals and identify threshold values. Diagnostic precision and efficacy were gauged using Receiver Operating Characteristic (ROC) curves, Area Under the Curve (AUC) evaluations, and calibration plots. Moreover, to verify the consistency of our results, stratified analyses and interaction tests were conducted across variables including age, gender, Body Mass Index (BMI), hypertension, and cardiovascular status.

RESULTS

This research involved a group of 1,588 individuals diagnosed with DKD. Over a median observation period of 74 months, 630 participants passed away. Using weighted multivariate Cox regression along with restricted cubic spline modeling, we identified non-linear associations between the four insulin resistance indices and all-cause mortality. An analysis of threshold effects pinpointed essential turning points for each IR index in this research: 1.14 for HOMA-IR, 9.18 for TyG, 207.9 for TyG-BMI, and 35.85 for METS-IR. It was noted that levels below these thresholds inversely correlated with all-cause mortality. In contrast, values above these points showed a significantly positive correlation, suggesting heightened mortality risks. The accuracy of these four IR metrics as indicators of all-cause mortality was confirmed through ROC and calibration curve analyses.

CONCLUSION

In patients with DKD, an L-shaped association is noted between HOMA-IR and all-cause mortality, while TyG, TyG-BMI, and METS-IR exhibit U-shaped relationships. All four IR indices show good predictive performance.

摘要

目的

先前的研究表明胰岛素抵抗(IR)与糖尿病肾病(DKD)的发病和进展之间存在密切关联。本研究聚焦于探讨DKD患者中IR与全因死亡率之间的关系。

方法

本研究利用了2001年至2018年期间从美国国家健康与营养检查调查(NHANES)获得的数据。使用可靠指标(HOMA-IR、TyG、TyG-BMI和METS-IR)评估胰岛素抵抗。通过加权多变量Cox回归、Kaplan-Meier生存分析和受限立方样条(RCS)建模评估IR指数与生存结果之间的关系。为了检验非线性关联,采用对数似然比检验,并使用分段回归模型建立置信区间并确定阈值。使用受试者工作特征(ROC)曲线、曲线下面积(AUC)评估和校准图来衡量诊断准确性和效能。此外,为了验证我们结果的一致性,对年龄、性别、体重指数(BMI)、高血压和心血管状况等变量进行了分层分析和交互检验。

结果

本研究纳入了1588名被诊断为DKD的个体。在中位观察期74个月内,630名参与者死亡。通过加权多变量Cox回归和受限立方样条建模,我们确定了四个胰岛素抵抗指数与全因死亡率之间的非线性关联。阈值效应分析确定了本研究中每个IR指数的关键转折点:HOMA-IR为1.14,TyG为9.18,TyG-BMI为207.9,METS-IR为35.85。值得注意的是,低于这些阈值的水平与全因死亡率呈负相关。相比之下,高于这些点的值显示出显著的正相关,表明死亡风险增加。通过ROC和校准曲线分析证实了这四个IR指标作为全因死亡率指标的准确性。

结论

在DKD患者中,HOMA-IR与全因死亡率之间存在L形关联,而TyG、TyG-BMI和METS-IR呈现U形关系。所有四个IR指数均显示出良好的预测性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dae/11769815/57f170c522ae/fendo-15-1427727-g001.jpg

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