Prevalence of Metabolic Syndrome in Gout Patients and Its Relationship With Metabolic Markers: A Propensity Score Matching Study

IF 2 4区医学 Q2 RHEUMATOLOGY

International Journal of Rheumatic Diseases Pub Date : 2025-10-06 DOI:10.1111/1756-185x.70424

Wanping Lv, Huixiang Chen, Hongmei Zhu, Dong Han, Yu Lei

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Abstract

Objective

To evaluate the association between metabolic markers and metabolic syndrome (MetS) in gout patients, and to assess the predictive performance of the triglyceride-glucose (TyG) index and triglyceride/high-density lipoprotein cholesterol (THR) ratio.

Methods

In this cross-sectional study, 502 gout patients (97.8% male) admitted between February 2023 and February 2024 were enrolled. MetS was defined according to the International Diabetes Federation criteria. Four metabolic markers—TyG, THR, serum uric acid/creatinine (SUA/Cr) ratio, and C-reactive protein/HDL-C ratio—were measured. Multivariate logistic regression identified independent predictors of MetS, while receiver operating characteristic (ROC) curves evaluated diagnostic accuracy. Propensity score matching and restricted cubic spline analyses were also performed to adjust for confounders and explore dose–response relationships.

Results

The prevalence of MetS was 62.4%. Patients with MetS exhibited significantly higher weight, systolic blood pressure (SBP), TyG, and THR values compared to non-MetS subjects (all p < 0.05). After adjustment, TyG (OR = 3.94, 95% CI: 2.60, 5.98) and THR (OR = 1.66, 95% CI: 1.33, 2.07) remained independently associated with MetS. ROC analysis revealed AUCs of 0.771 for TyG and 0.776 for THR; a combined model achieved an AUC of 0.820. A non-linear dose–response relationship was also observed.

Conclusion

Elevated TyG and THR indices are robust, independent predictors of MetS in gout patients. These cost-effective markers may facilitate early screening and risk stratification in clinical practice.

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痛风患者代谢综合征患病率及其与代谢标志物的关系：倾向评分匹配研究

目的探讨痛风患者代谢标志物与代谢综合征（MetS）的相关性，评价甘油三酯-葡萄糖（TyG）指数和甘油三酯/高密度脂蛋白胆固醇（THR）比值对痛风患者代谢综合征的预测作用。方法本横断面研究纳入2023年2月至2024年2月住院的502例痛风患者，其中97.8%为男性。MetS是根据国际糖尿病联合会的标准定义的。测定4项代谢指标：tyg、THR、血清尿酸/肌酐（SUA/Cr）比、c反应蛋白/HDL-C比。多元逻辑回归确定MetS的独立预测因子，而受试者工作特征（ROC）曲线评估诊断准确性。还进行了倾向评分匹配和限制三次样条分析，以调整混杂因素并探索剂量-反应关系。结果met的患病率为62.4%。与非MetS患者相比，MetS患者的体重、收缩压（SBP）、TyG和THR值明显更高（均p <； 0.05）。调整后，TyG （OR = 3.94, 95% CI: 2.60, 5.98）和THR （OR = 1.66, 95% CI: 1.33, 2.07）仍然与MetS独立相关。ROC分析显示TyG和THR的auc分别为0.771和0.776；组合模型的AUC为0.820。还观察到非线性的剂量-反应关系。结论TyG和THR指数升高是痛风患者met的可靠、独立的预测指标。这些具有成本效益的标记物可以促进临床实践中的早期筛查和风险分层。

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来源期刊

International Journal of Rheumatic Diseases RHEUMATOLOGY-

CiteScore

3.70

自引率

4.00%

发文量

362

审稿时长

1 months

期刊介绍： The International Journal of Rheumatic Diseases (formerly APLAR Journal of Rheumatology) is the official journal of the Asia Pacific League of Associations for Rheumatology. The Journal accepts original articles on clinical or experimental research pertinent to the rheumatic diseases, work on connective tissue diseases and other immune and allergic disorders. The acceptance criteria for all papers are the quality and originality of the research and its significance to our readership. Except where otherwise stated, manuscripts are peer reviewed by two anonymous reviewers and the Editor.