Myocardial contraction fraction predicts mortality for patients with hypertrophic cardiomyopathy

Hang Liao1, Ziqiong Wang1, Liming Zhao2

  • 1Department of Cardiology, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan Province, People's Republic of China.

Scientific Reports
|October 13, 2020
PubMed

Insights

Myocardial contraction fraction (MCF) predicts adverse outcomes in hypertrophic cardiomyopathy (HCM) patients. Higher MCF levels are associated with significantly lower risks of all-cause and HCM-related mortality, aiding clinical risk assessment.

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Clinical Research

Background:

  • Hypertrophic cardiomyopathy (HCM) is a significant cause of morbidity and mortality.
  • Accurate risk stratification in HCM patients is crucial for effective clinical management.
  • Novel volumetric measures may offer improved prognostic capabilities.

Purpose of the Study:

  • To evaluate the Myocardial Contraction Fraction (MCF) as a predictor of adverse outcomes in patients with HCM.
  • To assess the association between MCF and both all-cause and HCM-related mortality.

Main Methods:

  • Retrospective cohort study involving 438 HCM patients.
  • Myocardial Contraction Fraction (MCF), defined as stroke volume to myocardial volume, was analyzed.
  • Association between MCF tertiles and primary (all-cause mortality) and secondary (HCM-related mortality) endpoints was assessed.

Main Results:

  • During follow-up, 17.2% experienced all-cause mortality and 65.8% experienced HCM-related mortality.
  • Mortality rates decreased significantly across increasing MCF tertiles (P trend < 0.05 for both endpoints).
  • Higher MCF tertiles were independently associated with a substantially reduced risk of all-cause and HCM-related mortality (adjusted HRs < 0.26, P < 0.001).

Conclusions:

  • Myocardial Contraction Fraction (MCF) is an independent predictor of adverse outcomes in HCM patients.
  • MCF should be considered as a valuable tool for comprehensive risk assessment in clinical practice.
  • This novel volumetric measure offers prognostic insights beyond traditional risk factors.

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