Impact of comorbid burden on global left cardiac function and prediction models for myocardial function damage: a

XiaoFeng Qu1, Miaomiao Bai1, Jianbo Lyu1

  • 1Department of Radiology, The Second Hospital of Dalian Medical University, Dalian, China.

Frontiers in Medicine
|March 6, 2025
PubMed

Insights

Comorbid burden, even without organic heart disease, impairs cardiac function. This burden, along with sex and glucose levels, predicts heart damage, enabling early detection before ejection fraction drops.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Cardiovascular Disease

Background:

  • Comorbid conditions like hypertension, diabetes, and dyslipidemia are prevalent.
  • Assessing cardiac function in these patients is crucial, even without diagnosed heart disease.
  • Early detection of myocardial dysfunction is key to preventing adverse outcomes.

Purpose of the Study:

  • To investigate the impact of comorbid burden on myocardial function in patients without organic heart disease.
  • To develop predictive models for identifying myocardial function damage.
  • To assess the utility of cardiac magnetic resonance feature tracking (CMR-FT) in this population.

Main Methods:

  • Recruited 82 healthy individuals and 198 patients with comorbid burden (hypertension, T2DM, dyslipidemia).
  • Classified patients into groups based on the number of comorbidities (<2 and ≥2).
  • Utilized CMR-FT to measure left atrial (LA) and left ventricular (LV) myocardial strain parameters.

Main Results:

  • Patients with ≥2 comorbidities showed significantly reduced LA reservoir and conduit strain.
  • Both LV global longitudinal and radial strain decreased in patients with comorbid burden (<2 and ≥2).
  • LV global circumferential strain was reduced in the ≥2 comorbidity group. Comorbid burden, male sex, PBG, and FBG predicted LV damage (AUC=0.848).

Conclusions:

  • CMR-FT can detect subclinical myocardial damage in patients with comorbid burden before LVEF decline.
  • Comorbid burden, sex, and glucose levels are strong predictors of LV myocardial function damage.
  • Comorbid burden and male sex have predictive value for LA myocardial function damage.
Abstract