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

IF 4.6 2区 医学 Q2 ENDOCRINOLOGY & METABOLISM Frontiers in Endocrinology Pub Date : 2025-01-13 eCollection Date: 2024-01-01 DOI:10.3389/fendo.2024.1427727
Huan Zhu, Yinmei Chen, Dexin Ding, Hui Chen
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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.

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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的相关性:一项前瞻性队列研究
目的:先前的研究表明胰岛素抵抗(IR)与糖尿病肾病(DKD)的发生和进展之间存在密切关联。本研究的重点是检查IR与DKD患者全因死亡率之间的关系。方法:本研究利用了2001年至2018年国家健康与营养检查调查(NHANES)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生存分析和限制性三次样条(RCS)模型评估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和确定阈值。采用受试者工作特征(ROC)曲线、曲线下面积(AUC)评估和校准图来衡量诊断精度和疗效。此外,为了验证结果的一致性,我们对年龄、性别、身体质量指数(BMI)、高血压和心血管状况等变量进行了分层分析和相互作用试验。结果:这项研究涉及1588名被诊断为DKD的个体。在74个月的平均观察期内,630名参与者去世。使用加权多变量Cox回归和限制性三次样条模型,我们确定了四种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指数的基本转折点:HOMA-IR为1.14,TyG为9.18,TyG- bmi为207.9,METS-IR为35.85。有人指出,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4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与全因死亡率呈l型相关,而TyG、TyG- bmi和METS-IR呈u型相关。四种IR指标均表现出良好的预测效果。
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来源期刊
Frontiers in Endocrinology
Frontiers in Endocrinology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
5.70
自引率
9.60%
发文量
3023
审稿时长
14 weeks
期刊介绍: Frontiers in Endocrinology is a field journal of the "Frontiers in" journal series. In today’s world, endocrinology is becoming increasingly important as it underlies many of the challenges societies face - from obesity and diabetes to reproduction, population control and aging. Endocrinology covers a broad field from basic molecular and cellular communication through to clinical care and some of the most crucial public health issues. The journal, thus, welcomes outstanding contributions in any domain of endocrinology. Frontiers in Endocrinology publishes articles on the most outstanding discoveries across a wide research spectrum of Endocrinology. The mission of Frontiers in Endocrinology is to bring all relevant Endocrinology areas together on a single platform.
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