Cardiovascular magnetic resonance imaging markers of ageing: a multi-centre, cross-sectional cohort study

Hosamadin S Assadi1,2, Xiaodan Zhao3, Gareth Matthews1,2

  • 1Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich NR4 7UQ, Norfolk, UK.

PubMed

Insights

Cardiac magnetic resonance (CMR) can predict functional heart age, revealing it is higher in individuals with comorbidities like hypertension and diabetes. This tool helps assess heart aging and related cardiovascular changes.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Gerontology

Background:

  • Cardiac aging involves structural and physiological changes impacting heart performance.
  • Cardiac magnetic resonance (CMR) is a key imaging modality for assessing age-related cardiovascular remodeling.
  • Quantifying functional heart age aids in understanding cardiovascular health trajectories.

Purpose of the Study:

  • To develop and validate a fully automated CMR model for predicting functional heart age.
  • To assess the accuracy of the model in healthy individuals and a cohort with cardiovascular risk factors.
  • To investigate the relationship between CMR-derived heart age and common comorbidities.

Main Methods:

  • Retrospective observational study using international, multi-center data.
  • Development of an automated CMR model using left atrial (LA) end-systolic volume and LA ejection fraction.
  • Validation in a cohort of 191 healthy individuals and 366 patients with comorbidities (hypertension, diabetes mellitus, atrial fibrillation, obesity).

Main Results:

  • In healthy individuals, CMR-derived heart age closely matched chronological age.
  • In the validation cohort, functional heart age was 4.6 years higher than chronological age.
  • Significantly higher CMR-derived heart age was observed in patients with hypertension, diabetes mellitus, and atrial fibrillation, with a trend in obesity.

Conclusions:

  • The study provides insights into the temporal changes of cardiac structure and function during aging.
  • The proposed CMR-based equations can help communicate age-related cardiac assessment changes.
  • Automated CMR analysis offers a valuable tool for assessing cardiovascular health and aging.
Abstract

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