Prognostic Value of Myocardial T1 Mapping for Predicting Adverse Events in Hypertrophic Cardiomyopathy

Jie Wang1,2,3, Jinquan Zhang4, Wei Liu1

  • 1Department of Cardiology (J.W., W.L., L.P., W.Q., Y.X., Y.C.), West China Hospital, Sichuan University, Chengdu, China.

PubMed

Insights

Myocardial T1 and extracellular volume fraction predict heart failure events in hypertrophic cardiomyopathy patients. These biomarkers are not associated with sudden cardiac death risk.

Area of Science:

  • Cardiovascular Imaging
  • Cardiac MRI
  • Biomarkers

Background:

  • Prognostic value of myocardial T1 and extracellular volume fraction (ECV) in hypertrophic cardiomyopathy (HCM) for adverse cardiovascular events is not well defined.
  • HCM is a genetic heart disease characterized by abnormal thickening of the heart muscle.

Purpose of the Study:

  • To investigate the prognostic value of myocardial T1 and ECV in predicting adverse cardiovascular events in patients with HCM.

Main Methods:

  • 663 HCM patients underwent 3T cardiovascular magnetic resonance (CMR).
  • Global native T1 and ECV were measured.
  • Follow-up end points included heart failure (HF)-related death, HF hospitalization, and sudden cardiac death (SCD) or aborted SCD.
  • Cox proportional hazards regression multivariable analyses were performed.

Main Results:

  • Global native T1 and ECV, excluding late gadolinium enhancement (LGE) areas, were not associated with SCD.
  • Global native T1 was independently associated with HF-related death (HR, 1.08 per 10 ms increase; P=0.014) and a composite endpoint of HF-related death or HF hospitalization (HR, 1.05 per 10 ms increase; P=0.009).
  • Global ECV was independently associated with HF-related death (HR, 1.23 per 1% increase; P<0.001) and the composite endpoint (HR, 1.10 per 1% increase; P<0.001).

Conclusions:

  • Global native T1 and ECV (excluding LGE) are independently associated with heart failure events in HCM patients.
  • These CMR-derived biomarkers are not associated with sudden cardiac death risk in this cohort.
  • Findings require external validation in larger cohorts.
Abstract