Which surrogate insulin resistance indices best predict coronary artery disease? A machine learning approach.

Journal: Cardiovascular diabetology
Published Date: Jun 21, 2024

Abstract

BACKGROUND: Various surrogate markers of insulin resistance have been developed, capable of predicting coronary artery disease (CAD) without the need to detect serum insulin. For accurate prediction, they depend only on glucose and lipid profiles, as well as anthropometric features. However, there is still no agreement on the most suitable one for predicting CAD.

Authors

  • Seyed Reza Mirjalili
    Yazd Cardiovascular Research Center, Non-Communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
  • Sepideh Soltani
    Yazd Cardiovascular Research Center, Non-Communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
  • Zahra Heidari Meybodi
    Department of Medicine, University of California San Francisco, San Francisco, USA.
  • Pedro Marques-Vidal
    Department of Internal Medicine, BH10-642, Rue du Bugnon 46, Rue du Bugnon 46, Lausanne, CH-1011, Switzerland.
  • Danial Dehghani Firouzabadi
    Student Research Committee, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
  • Reza Eshraghi
    Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran.
  • David Restrepo
    Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Hamed Ghoshouni
    Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
  • Mohammadtaghi Sarebanhassanabadi
    Yazd Cardiovascular Research Center, Non-Communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. mtsareban@gmail.com.

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