ArticleRheumatology (Oxford, England)2025
Predictive value of insulin resistance metabolic score for cardiovascular disease in Chinese arthritis patients: a prospective cohort study.
Article in Rheumatology (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Frailty Transition and Risk of New-Onset Arthritis Among Adults Aged 45 Years and Older: A Longitudinal Analysis of CHARLS.Healthcare (Basel, Switzerland) · 2026Article
- Machine Learning-Driven Personalized Risk Prediction: Developing an Explainable Sarcopenia Model for Older European Adults with Arthritis.Journal of clinical medicine · 2026Article
- Insulin Resistance Across Cerebrovascular and Related Disorders: Mechanisms, Measurement, Genetics, and Clinical Implications.Neuropsychiatric disease and treatment · 2026Review
- Triglyceride-glucose (TyG) index combined with C-reactive protein outperforms the TyG index alone in predicting stroke in arthritis patients: a nationwide prospective cohort study.Lipids in health and disease · 2025Article
- The Metabolic Score for Insulin Resistance (METS-IR), a Predictor of Cardiovascular Events, Relates to Disease Activity in Patients with Rheumatoid Arthritis.Diagnostics (Basel, Switzerland) · 2025Article
- ePWV as a scalable risk factor for large-scale glaucoma screening: evidence from a national Chinese cohort.Frontiers in cell and developmental biology · 2025Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesAlthough patients with arthritis have significantly increased cardiovascular disease (CVD) risk, effective prediction tools remain limited. This study aimed to evaluate the predictive value of the Metabolic Score for Insulin Resistance (METS-IR) for CVD events among Chinese patients with arthritis.
methodsUsing data from the China Health and Retirement Longitudinal Study (CHARLS), we conducted a 7-year prospective cohort study (2011-2018) involving 1059 patients with arthritis. The primary exposure was baseline METS-IR, and the primary outcome was incident CVD. Multivariate Cox regression models were used to analyse the association between METS-IR and CVD risk, adjusting for demographic characteristics and lifestyle factors.
resultsAfter adjusting for confounding factors, each quartile increase in METS-IR was associated with a 36% increased risk of CVD (hazard ratio [HR] = 1.36, 95% CI: 1.14-1.61, P < 0.001). Compared with the lowest quartile, the highest quartile showed a 63% increased risk (HR = 1.63, 95% CI: 1.12-2.37, P < 0.05), demonstrating a significant dose-response relationship (P for trend < 0.05).
conclusionMETS-IR serves as an effective tool for predicting CVD risk among Chinese patients with arthritis, providing new strategies for early risk identification and prevention.
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