Evidence map›Paper›PMID 42559066›Full record

ArticleFrontiers in cardiovascular medicine2026

Prognostic value of non-insulin-based insulin resistance indices in patients with newly diagnosed coronary artery disease: a cohort study.

Meng Sun, Lulin Chen, Dandan Li, Xianwei Fan, Youjian Zhang, Haitao Yang

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Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Meng Sun *Department of Cardiology, Henan Provincial Chest Hospital, Chest Hospital of Zhengzhou, Zhengzhou, China.
Lulin Chen *Department of Cardiology, Henan Provincial Chest Hospital, Chest Hospital of Zhengzhou, Zhengzhou, China.
Dandan LiDepartment of Cardiology, Henan Provincial Chest Hospital, Chest Hospital of Zhengzhou, Zhengzhou, China.
Xianwei FanDepartment of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China.
Youjian ZhangDepartment of Cardiology, Henan Provincial Chest Hospital, Chest Hospital of Zhengzhou, Zhengzhou, China.
Haitao YangDepartment of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: : Insulin resistance (IR) plays a pivotal role in the onset and progression of coronary artery disease (CAD). This study aims to assess the efficacy and clinical utility of four non-insulin-based IR indices-Triglyceride-Glucose (TyG) index, Metabolic Score for Insulin Resistance (METS-IR), Triglyceride-Glucose-Body Mass Index (TyG-BMI), and Triglyceride to High-Density Lipoprotein Cholesterol ratio (TG/HDL-C)-in predicting prognosis in patients with newly diagnosed CAD. Methods: This retrospective analysis included 890 patients with newly diagnosed CAD enrolled between January 2019 and June 2022. LASSO penalized regression was applied for covariate selection to mitigate overfitting (events-per-variable ratio ≈ 13.9), and Firth's penalized maximum likelihood estimation was performed as a sensitivity analysis. Multivariable Cox models and restricted cubic spline analyses examined associations between the four non-insulin-based IR indices and major adverse cardiovascular events (MACEs). The proportional hazards assumption was verified using Schoenfeld residual tests, and Bonferroni correction was applied for multiple comparisons ( Results: Over a median follow-up of 26.5 months, the overall incidence of MACEs was 10.9%. TyG index (HR = 1.627, 95% CI: 1.228-2.145), TyG-BMI (HR = 1.019, 95% CI: 1.014-1.023), TG/HDL-C (HR = 1.127, 95% CI: 1.055-1.195), and METS-IR (HR = 1.104, 95% CI: 1.080-1.129) were all identified as independent risk factors for MACEs. METS-IR showed the highest incremental prognostic value (C-statistic = 0.779, IDI = 0.082, NRI = 0.356, Conclusions: TyG index, TyG-BMI, TG/HDL-C ratio, and METS-IR are independently associated with MACEs in patients with newly diagnosed CAD, with METS-IR demonstrating the highest incremental predictive performance.

Indexed as

cohort studycoronary artery diseaseinsulin resistancemajor adverse cardiovascular eventsprognosis

Identifiers

PMID42559066
PMCPMC13439648

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