The Relationship between Symptom Burden and Myocardial Fibrosis in Patients with Hypertrophic Cardiomyopathy

Arda Güler1, Irem Türkmen1, Selcen Tülüce2

  • 1University of Health Sciences, Department of Cardiology, Istanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, Istanbul.

Acta Cardiologica Sinica
|September 29, 2025
PubMed

Insights

Symptom burden, measured by the Kansas City Cardiomyopathy Questionnaire (KCCQ), can predict significant fibrosis in hypertrophic cardiomyopathy (HCM) patients. This finding may help assess sudden cardiac death risk where advanced imaging is unavailable.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Biomarkers

Background:

  • Sudden cardiac death risk assessment in hypertrophic cardiomyopathy (HCM) is critical.
  • Cardiac magnetic resonance imaging (CMR) with late gadolinium enhancement (LGE) identifies fibrosis, a key risk factor.
  • Specialized software for LGE quantification is not universally available, necessitating alternative risk assessment methods.

Purpose of the Study:

  • To investigate the relationship between symptom burden and the presence of high fibrosis in HCM patients.
  • To explore the utility of symptom severity as a surrogate marker for fibrosis in HCM.
  • To identify predictors of high fibrosis in HCM patients.

Main Methods:

  • A cohort of 195 HCM patients undergoing CMR between October 2021 and May 2023 were analyzed.
  • Symptom burden was assessed using the Kansas City Cardiomyopathy Questionnaire (KCCQ), with lower scores indicating greater severity.
  • High fibrosis was defined as LGE ≥ 15%, determined by two radiologists.

Main Results:

  • 57 patients (29%) exhibited high fibrosis.
  • The high fibrosis group had significantly lower KCCQ scores, higher troponin and NT-proBNP levels, lower LVEF, and greater wall thickness and LVMI.
  • Logistic regression identified KCCQ score, LVEF, and LVMI as independent predictors of high fibrosis. A KCCQ score cut-off of 57.9 showed 77.1% sensitivity for high fibrosis.

Conclusions:

  • Reduced symptom burden, indicated by lower KCCQ scores, is an independent predictor of high fibrosis in HCM patients.
  • Symptom severity may serve as a valuable, accessible tool for assessing fibrosis risk in HCM.
  • These findings support the use of symptom assessment in guiding fibrosis risk stratification for sudden cardiac death prevention in HCM.
Abstract

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