Prognostic value of left ventricular mass measured on coronary computed tomography angiography

Michael Abiragi1, Melanie Chen1, Billy Lin1

  • 1Department of Imaging, Medicine and Biomedical Science, Cedars-Sinai Medical Center, United States.

Insights

Increased left ventricular (LV) mass measured by coronary computed tomography angiography (CCTA) independently predicts all-cause mortality risk. This assessment, considering age and sex, identifies patients with high myocardial mass for better cardiovascular risk stratification.

Area of Science:

  • Cardiology
  • Radiology
  • Preventive Medicine

Background:

  • Left ventricular (LV) mass is a key indicator of cardiovascular risk.
  • Measuring LV mass using coronary computed tomography angiography (CCTA) is an optional but potentially valuable tool.
  • Understanding the relationship between LV mass and mortality is crucial for risk assessment.

Purpose of the Study:

  • To evaluate the association between LV mass measured by CCTA and the risk of all-cause mortality (ACM).
  • To establish age- and sex-specific distributions for LV mass index.
  • To determine if LV mass improves cardiovascular risk prediction models.

Main Methods:

  • Analysis of CCTA data from 4187 patients without known coronary artery disease (CAD).
  • Calculation of age- and sex-specific LV mass index percentiles.
  • Assessment of ACM over a median follow-up of 5.1 years using multivariable Cox models.
  • Inclusion of covariates such as age, sex, medical history, coronary artery calcium (CAC) score, and CCTA stenosis.

Main Results:

  • Higher LV mass index percentiles were significantly associated with an increased risk of ACM.
  • LV mass index improved mortality prediction discrimination and reclassification (X² improvement: 22.68, NRI: 28%, p < 0.001).
  • Male sex, African American ethnicity, hypertension, CAC > 400, and smoking predicted increased LV mass index.

Conclusions:

  • Increased LV mass index, assessed by CCTA, offers independent and incremental prognostic value for ACM in patients without known CAD.
  • CCTA-derived LV mass assessment, incorporating age and gender distributions, can be clinically applied to identify individuals at higher risk.
  • This approach enhances the ability to stratify cardiovascular risk beyond traditional factors.
Abstract

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