Aging · 2024 · 12 citations · 19 references
MedicineCardiologyInternal MedicineClinical CardiologyClinical EpidemiologyPreventive CardiologyCardiovascular DiseaseCardiovascular RiskCoronary Artery DiseaseDiabetes MellitusInsulin ResistanceMetabolic SyndromeHazard Ratio ModelingInsulin Resistance AssessmentInsulin Resistance BiomarkersInsulin Resistance SyndromeMetabolic Risk AssessmentMetabolic Syndrome Risk AssessmentPremature Coronary Artery DiseaseRepeat Revascularization
BACKGROUND: The Metabolic Score for Insulin Resistance (METS-IR) index serves as a simple surrogate marker for insulin resistance (IR) and is associated with the presence and severity of coronary artery disease (CAD). However, the prognostic significance of METS-IR in patients with premature CAD remains unclear. This study aims to investigate the prognostic value of METS-IR in premature CAD. METHODS: This retrospective study included 582 patients diagnosed with premature CAD between December 2012 and July 2019. The median follow-up duration was 63 months (interquartile range, 44-81 months). The primary endpoint was Major Adverse Cardiovascular Events (MACE), defined as a composite of all-cause death, non-fatal myocardial infarction (MI), repeat coronary artery revascularization, and non-fatal stroke. RESULTS: <0.001). In the fully adjusted model, the Hazard Ratio (95% CI) for MACE was 1.41 (1.16-1.72) per SD increase in METS-IR, and the P for trend based on METS-IR tertiles was 0.001 for MACE. Time-dependent Receiver Operator Characteristic (ROC) analysis of METS-IR yielded an Area Under the Curve (AUC) of 0.74 at 2 years, 0.69 at 4 years, and 0.63 at 6 years. CONCLUSIONS: METS-IR serves as a reliable prognostic predictor of MACE in patients with premature CAD. Therefore, METS-IR may be considered a novel, cost-effective, and dependable indicator for risk stratification and early intervention in premature CAD.
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Theo Vos, Stephen S Lim, Cristiana Abbafati et al. · The Lancet · 2020 · 19.2K citations · Full text
Omar Yaxmehen Bello‐Chavolla, Paloma Almeda‐Valdés, Donají Gómez‐Velasco et al. · European Journal of Endocrinology · 2018 · 622 citations