The metabolic score for insulin resistance (Mets-ir) as a predictor of incident ischemic heart disease: A longitudinal study among korean without diabetes

Jihyun Yoon, Donghyuk Jung, Yongjae Lee, Byoungjin Park

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39 Citations (Scopus)

Abstract

The metabolic score for insulin resistance (METS-IR) is a novel noninsulin-based marker for assessing the risk of insulin resistance and cardiometabolic risk. However, whether METS-IR is associated with incident ischemic heart disease (IHD) risk is not well known. Therefore, we aimed to investigate the longitudinal effect of METS-IR on incident IHD risk in a large cohort of Korean adults without diabetes. Data were assessed from 17,943 participants without diabetes from the Health Risk Assessment Study (HERAS) and Korea Health Insurance Review and Assessment (HIRA) data. The participants were divided into four groups according to METS-IR index quartiles: (ln ((2 × fasting plasma glucose) + triglyceride) × body mass index)/(ln (HDL-cholesterol)). We pro-spectively assessed hazard ratios (HRs) with 95% confidence intervals (CIs) for IHD using multi-variate Cox proportional hazard regression models over a 50-month period. During the follow-up period, 332 participants (1.9%) developed IHD. HRs of IHD for METS-IR quartiles 1–4 were 1.00, were 1.62 (95% CI 1.04–2.53), 1.87 (95% CI 1.20–2.91), and 2.11 (95% CI 1.35–3.30), respectively, after adjusting for potential confounding variables. A higher METS-IR precedes future IHD among Koreans without diabetes. Moreover, compared with metabolic syndrome, METS-IR had a better predictive value for IHD.

Original languageEnglish
Article number742
JournalJournal of Personalized Medicine
Volume11
Issue number8
DOIs
Publication statusPublished - 2021 Aug

Bibliographical note

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)

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