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Comparative performance of insulin resistance-related indices in predicting adverse cardiovascular events among individuals with NAFLD and MASLD: a multi-center cohort study

  • Yanqiu Huang (Co-first Author)
  • , Yadan Xu (Co-first Author)
  • , Chenghao Zhang (Co-first Author)
  • , Wen Gu (Co-first Author)
  • , Yue Li (Co-first Author)
  • , Haojia Zhang
  • , Tian Wang
  • , Tangyi Su
  • , Yangchen Lhamu
  • , Yichen Chen
  • , Liang Zhou*
  • , Lipeng Hao*
  • , Yang Yang*
  • , Hui Wang*
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) and non-alcoholic fatty liver disease (NAFLD) are closely linked to insulin resistance and elevated cardiovascular risk, triglyceride-glucose (TyG)-related indices, the atherogenic index of plasma (AIP), and the cardiometabolic index (CMI) have emerged as practical surrogate markers for cardiometabolic risk assessment in these populations. However, it remains unclear whether the associations of these indices with adverse cardiovascular events remain consistent when transitioning from the NAFLD to the newly defined MASLD framework, and a comprehensive comparison of these indices across both diagnostic criteria is lacking. Methods: This study included 4693/3266, 74,173/67,864, and 7823/10,576 individuals with MASLD/NAFLD from the National Health and Nutrition Examination Survey (NHANES), UK Biobank (UKB), and China Pudong cohort, respectively. Multivariate Cox proportional hazards models, restricted cubic spline analyses, and time-dependent receiver operating characteristic curves were employed to assess associations. Linear regression models evaluated relationships between TyG-related indices and cortical/subcortical structural volumes. Mediation analyses examined the role of oxidative stress, phenotypic aging, and inflammatory markers. Results: Most IR-related indices demonstrated nonlinear, predominantly J-shaped associations with cardiovascular disease (CVD) and related mortality, especially within the UKB. TyG-WC optimally predicted 3-year CVD mortality in MASLD/NAFLD across UKB and NHANES, as well as ischemic stroke (IS) in UKB-MASLD. TyG-WHTR was the strongest predictor for CVD mortality in the Pudong cohort and myocardial infarction (MI) in UKB-MASLD. Notably, elevated TyG-WHTR was consistently associated with heightened risks across all endpoints: CVD mortality (NAFLD: UKB: HR 1.60, 95%CI 1.38–1.84, NHANES: 1.90, 1.34–2.70, Pudong: 1.24, 1.10–1.40; MASLD: UKB: 1.59, 1.38–1.82, NHANES: 1.86, 1.36–2.54, Pudong: 1.70, 1.43–2.03), MI (NAFLD: 1.20, 1.09–1.33; MASLD: 1.22, 1.11–1.34), and IS (NAFLD: 1.41, 1.24–1.61; MASLD: 1.39, 1.23–1.57). Structural neuroimaging analyses revealed significant negative correlations between TyG-WC/TyG-WHTR and subcortical volumes (P < 1 × 10−4). Mediation analyses indicated that oxidative stress, phenotypic aging, and inflammatory markers collectively accounted for 1.4–27% of the observed associations. Conclusions: Insulin Resistance-Related Indices demonstrate robust clinical utility in predicting CVD and mortality in NAFLD/MASLD across three distinct cohorts, with oxidative stress, inflammatory activation, and accelerated aging serving as potential mechanistic pathways. © The Author(s) 2026.
Original languageEnglish
Article number194
Number of pages17
JournalCardiovascular Diabetology
Volume25
Issue number1
Online published4 Jul 2026
DOIs
Publication statusOnline published - 4 Jul 2026
Externally publishedYes

Funding

This study was supported by grants from the National Natural Science Foundation of China (82403381), the Noncommunicable Chronic Diseases-National Science and Technology Major Project (2026ZB0556800), the National Key R&D Program of China (2022YFD2101500), the Sailing Program of Shanghai Rising-Star Program (24YF2722700), and Innovative research team of high-level local universities in Shanghai, and Medical-Engineering Cross Foundation of Shanghai Jiao Tong University (YG2025LC14).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research Keywords

  • Adverse cardiovascular events
  • Atherogenic index of plasma
  • Cardiometabolic index
  • Cohort study
  • Metabolic dysfunction-associated steatotic liver disease
  • Non-alcoholic fatty liver disease
  • Triglyceride-glucose index

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

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