Association Between Insulin Resistance Marker Estimated Glucose Disposal Rate and Cardiovascular Risk in Obesity: Insights From the National Health and Nutrition Examination Survey 1999 to 2018.

IF 1.3 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS
Cardiology Research Pub Date : 2026-01-04 eCollection Date: 2026-02-01 DOI:10.14740/cr2136
Xu Hua, Hai Nan Yang, Yao Guo Han, Ming Lei
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引用次数: 0

Abstract

Background: This study evaluated the effectiveness of the estimated glucose disposal rate (eGDR), an indicator of insulin resistance, as a screening tool for cardiovascular disease (CVD) in individuals with obesity.

Methods: A cross-sectional analysis was conducted using data from the US National Health and Nutrition Examination Survey (NHANES) covering the years 1999 to 2018. The study included 20,521 participants with a waist-to-height ratio (WHtR) of 0.6 or higher, indicating obesity. Participants were divided into quartiles based on their eGDR levels: Q1 (> 8 mg/kg/min), Q2 (6 - 8 mg/kg/min), Q3 (4 - 6 mg/kg/min), and Q4 (≤ 4 mg/kg/min). Multivariable logistic regression models, adjusted for various demographic, lifestyle, and metabolic confounders, were used to analyze the relationship between eGDR and CVD. The predictive capability of eGDR was assessed using the area under the receiver operating characteristic curve (AUC), restricted cubic splines (RCS) for capturing non-linear relationships, and stratified subgroup analyses.

Results: CVD prevalence significantly increased with decreasing eGDR levels (Q1: 5.3% vs. Q4: 26.2%). After full adjustment for covariates, multivariable regression confirmed that the lowest eGDR quartile (Q4) was strongly and independently associated with a substantially elevated risk of CVD compared to the highest quartile (adjusted odds ratio (OR) = 6.3; 95% confidence interval (CI): 5.53 - 7.17; P < 0.001). eGDR also demonstrated good predictive performance for specific CVD subtypes, with the highest AUC for heart failure (0.715, 95% CI: 0.699 - 0.730). RCS analysis validated a significant non-linear, inverse dose-response relationship between eGDR and overall CVD risk. Subgroup analyses, stratified by age, sex, and glycemic status, consistently demonstrated a significant association between low eGDR and increased CVD risk across all categories (P < 0.001).

Conclusions: Lower eGDR independently and strongly indicated a heightened risk of CVD in individuals with obesity.

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胰岛素抵抗标志物估计的葡萄糖处置率与肥胖症心血管风险的关系:来自1999 - 2018年全国健康与营养调查的见解
背景:本研究评估了估计葡萄糖处置率(eGDR)作为胰岛素抵抗指标在肥胖个体中作为心血管疾病(CVD)筛查工具的有效性。方法:使用1999年至2018年美国国家健康与营养检查调查(NHANES)的数据进行横断面分析。该研究包括20,521名腰高比(WHtR)为0.6或更高的参与者,表明肥胖。参与者根据他们的eGDR水平分为四分位数:Q1 (bb0 - 8mg /kg/min), Q2 (6 - 8mg /kg/min), Q3 (4 - 6mg /kg/min)和Q4(≤4mg /kg/min)。采用多变量logistic回归模型,对各种人口统计学、生活方式和代谢混杂因素进行调整,分析eGDR和CVD之间的关系。eGDR的预测能力通过受试者工作特征曲线下面积(AUC)、捕获非线性关系的受限三次样条(RCS)和分层亚组分析来评估。结果:随着eGDR水平的降低,心血管疾病患病率显著增加(Q1: 5.3% vs. Q1: 26.2%)。在对协变量进行完全调整后,多变量回归证实,与最高四分位数相比,最低eGDR四分位数(Q4)与CVD风险显著升高有强烈且独立的相关性(调整后的优势比(OR) = 6.3;95%置信区间(CI): 5.53 - 7.17;P < 0.001)。eGDR对特定CVD亚型也表现出良好的预测效果,对心力衰竭的AUC最高(0.715,95% CI: 0.699 - 0.730)。RCS分析证实eGDR与总体心血管疾病风险之间存在显著的非线性、负剂量反应关系。按年龄、性别和血糖状态分层的亚组分析一致显示,在所有类别中,低eGDR与心血管疾病风险增加之间存在显著关联(P < 0.001)。结论:较低的eGDR独立且强烈表明肥胖个体CVD风险增加。
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来源期刊
Cardiology Research
Cardiology Research CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
2.50
自引率
0.00%
发文量
42
期刊介绍: Cardiology Research is an open access, peer-reviewed, international journal. All submissions relating to basic research and clinical practice of cardiology and cardiovascular medicine are in this journal''s scope. This journal focuses on publishing original research and observations in all cardiovascular medicine aspects. Manuscript types include original article, review, case report, short communication, book review, letter to the editor.
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