Enhancing risk assessment in Chagas cardiomyopathy: Electrophysiology study stratified by Rassi score

Ieda Prata Costa1, Neiberg de Alcantara Lima2, Jefferson Luis Vieira3

  • 1Postgraduate Program in Cardiovascular Sciences - Federal University of Ceara, Fortaleza, Brazil.

PubMed

Insights

The Rassi score effectively stratifies risk in Chagas cardiomyopathy (CCM) patients, correlating with electrophysiology study (EPS) findings. Syncope, reduced ejection fraction, and wall motion abnormalities are key independent predictors of adverse EPS outcomes.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Chagas Disease Research

Background:

  • Chagas cardiomyopathy (CCM) prevalence is rising globally due to migration.
  • Accurate risk stratification is essential for managing CCM's variable clinical progression.

Purpose of the Study:

  • To investigate the association between Rassi score progression and electrophysiology study (EPS) changes in CCM patients.
  • To identify independent predictors of adverse EPS outcomes in CCM.

Main Methods:

  • Prospective observational cohort study of 59 CCM patients.
  • Risk stratification using the Rassi score (low, intermediate, high).
  • Electrophysiology study (EPS) to assess arrhythmias and conduction intervals; follow-up at 30 days and 6 months.

Main Results:

  • 57.6% of patients showed EPS abnormalities, primarily ventricular tachycardia/fibrillation (VT/VF).
  • A significant association exists between Rassi score risk classification and EPS changes (OR=1.88, p=0.02).
  • Higher Rassi scores correlated with VT presence (p=0.0036); syncope/pre-syncope (OR=2.45, p=0.012) and decreased ejection fraction (p=0.04) were independent predictors.

Conclusions:

  • EPS changes in CCM are associated with Rassi score progression, validating its use as a stratification tool.
  • Syncope/pre-syncope, reduced LVEF, and wall motion abnormalities independently predict EPS changes within Rassi scores.
Abstract