Beyond traditional metrics: evaluating the triglyceride-total cholesterol-body weight index (TCBI) in cardiovascular

Mohsen Rezaee1, Farzam Kamrani2, Mobina Imannezhad2

  • 1Student Research Committee, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran.

PubMed

Insights

The triglyceride-total cholesterol-body weight index (TCBI) predicts cardiovascular disease (CVD) mortality, unlike other indices. Traditional atherogenic indices like CRI-I and CRI-II show stronger predictive power for CVD risk assessment.

Area of Science:

  • Cardiology
  • Public Health
  • Biostatistics

Background:

  • Cardiovascular disease (CVD) is the leading global cause of death.
  • Atherogenic indices are established CVD risk factors.
  • The triglyceride-total cholesterol-body weight index (TCBI) is a novel index incorporating key CVD risk factors.

Purpose of the Study:

  • To evaluate the predictive capability of established atherogenic indices and the novel TCBI for CVD incidence and mortality.
  • To compare the predictive performance of TCBI against traditional indices.

Main Methods:

  • A prospective cohort study utilized data from 9704 healthy participants in the Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD) study.
  • Baseline variables were collected, and TCBI, Atherogenic Index of Plasma (AIP), Atherogenic Coefficient (AC), and Castelli risk indices (CRI-I & II) were calculated.
  • A 10-year follow-up period assessed CVD incidence and mortality.

Main Results:

  • TCBI, CRI-I, and CRI-II showed a significant positive association with CVD mortality after 10 years.
  • No significant relationship was found between TCBI and CVD incidence.
  • AIP and AC were not associated with CVD mortality.

Conclusions:

  • TCBI is associated with increased CVD mortality, outperforming AC and AIP in this regard.
  • Traditional indices, CRI-I and CRI-II, demonstrated superior predictive capabilities for CVD mortality compared to TCBI.
  • Enhancements to the TCBI formula are recommended to improve its efficacy in CVD risk assessment.
Abstract

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