Nutrition & Metabolism (Jun 2024)

Association between metabolic score for insulin resistance and clinical outcomes: insights from the Tehran lipid and glucose study

  • Seyyed Saeed Tamehri Zadeh,
  • Neda Cheraghloo,
  • Soroush Masrouri,
  • Farzad Esmaeili,
  • Fereidoun Azizi,
  • Farzad Hadaegh

DOI
https://doi.org/10.1186/s12986-024-00808-w
Journal volume & issue
Vol. 21, no. 1
pp. 1 – 12

Abstract

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Abstract Background We aimed to assess the relationship between Metabolic Score for Insulin Resistance (METS-IR) and the incidence of coronary heart disease (CHD), stroke, mortality, diabetes, hypertension, and chronic kidney disease (CKD) in a population from the Middle East and North Africa (MENA) region. Method Individuals aged ≥ 20 years were enrolled. Cox proportional hazards regression models were applied to assess the association between METS-IR and incident CHD, stroke, all-cause mortality, diabetes, hypertension, and CKD. Results Over a median follow-up period of 9–18 years, 1080 (10.6%), 267 (2.6%), 1022 (9.6%), 1382 (16.4%), 2994 (58.5%), and 2002 (23.0%) CHD, stroke, all-cause mortality, diabetes, hypertension, and CKD events occurred, respectively. Compared to the lowest quartile (reference), the hazard ratios (HR) associated with the highest quartile of METS-IR were 1.527 (95% confidence interval [CI]: 1.208–1.930, P for trend 0.001), 1.393 (0.865–2.243, > 0.05), 0.841 (0.682–1.038, > 0.05), 3.277 (2.645–4.060, 0.05) for CHD, stroke, all-cause mortality, diabetes, hypertension, and CKD, respectively. METS-IR, as a continuous variable, was significantly associated with the risk of incident CHD [HR, 95% CI: 1.106, 1.034–1.184], diabetes [1.524, 1.438–1.616], and hypertension [1.321, 1.265–1.380]. These associations were also independent of metabolic syndrome (METS) and remained unchanged in a subgroup of individuals without METS and/or diabetes. Conclusions Increasing levels of METS-IR were significantly associated with a greater risk of incident CHD, diabetes, and hypertension; therefore, this index can be a useful tool for capturing the risk of these clinical outcomes.

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