Predictors of unfavourable prognosis in chronic Chagas' disease

R B Bestetti1

  • 1Faculdade de Medicina Barão de Mauá, Ribeirão Preto City, and Faculdade de Medicina de São José do Rio Preto, São José do Rio Preto City, Brazil. lzvanaz@rge.fmrp.usp.br

Insights

Clinical factors like systolic blood pressure and male sex predict cardiac issues in Chagas

Area of Science:

  • Cardiology
  • Infectious Diseases
  • Echocardiography

Background:

  • Chronic Chagas' disease poses significant risks for cardiac complications, including left ventricular dysfunction, dilatation, and apical aneurysm.
  • These echocardiographic findings are independent predictors of mortality and sudden cardiac death in affected patients.
  • Identifying clinical predictors is crucial for early risk stratification and management of Chagas' disease patients.

Purpose of the Study:

  • To identify clinical predictors of left ventricular dysfunction, dilatation, and apical aneurysm in patients with chronic Chagas' disease.
  • To assess the utility of these predictors in identifying individuals at higher risk of adverse cardiac events.

Main Methods:

  • Seventy-four patients with confirmed Chagas' disease underwent echocardiography.
  • Stepwise logistic regression analysis was used to identify independent clinical predictors.
  • Receiver-operating characteristic (ROC) curves were employed to determine optimal predictive thresholds.

Main Results:

  • Systolic blood pressure (SBP) and male sex independently predicted left ventricular dilatation.
  • An SBP of 120 mmHg, alone or in combination with male sex, showed predictive value for dilatation.
  • SBP and New York Heart Association (NYHA) functional class independently predicted left ventricular systolic dysfunction.
  • An SBP of 120 mmHg and NYHA class 2 were identified as predictors for systolic dysfunction.
  • Myocardial necrosis on resting ECG predicted apical aneurysm, though with low sensitivity.

Conclusions:

  • Clinical examination findings, including SBP and NYHA class, can independently predict echocardiographic markers of cardiac mortality in Chagas' disease.
  • These clinical predictors may aid in the screening and identification of high-risk patients.
  • Early identification of at-risk individuals can facilitate timely interventions to prevent adverse cardiac outcomes.