BACKGROUND: Heart failure is a severe clinical manifestation of Chagas disease. Left atrial volume (LAV), a marker of chronically elevated left ventricular (LV) filling pressure, is a predictor of prognosis in patients with heart failure and may be important in the assessment of risk in patients with Chagas disease. The aim of this study was to identify echocardiographic parameters of diastolic function predictors of survival in patients with Chagas cardiomyopathy. METHODS: A total of 192 patients with Chagas cardiomyopathy (mean age, 48.5 +/- 12.1 years; 37% women) were prospectively enrolled. The end points were death and cardiac transplantation. RESULTS: Over a mean follow-up period of 33.8 months, LAV normalized for body surface area emerged as an independent predictor of survival (hazard ratio, 1.037 per 1 mL/m(2) change; 95% confidence interval, 1.018-1.056; P < .001), adding incremental prognostic value to clinical factors, LV ejection fraction, and Doppler-derived parameters of diastolic function. Receiver operating characteristic curve analysis identified the best cutoff values for the prediction of end points. LAV > 51 mL/m(2) was associated with significant excess mortality (log-rank, P < .001). CONCLUSIONS: LAV provides powerful prognostic information incrementally and independently to clinical data and conventional echocardiographic parameters in the prediction of survival. New York Heart Association functional class, LV ejection fraction, right ventricular function, the E/E' ratio, and LAV index can be used to build a risk prediction model, which can be used clinically.
BACKGROUND:Heart failure is a severe clinical manifestation of Chagas disease. Left atrial volume (LAV), a marker of chronically elevated left ventricular (LV) filling pressure, is a predictor of prognosis in patients with heart failure and may be important in the assessment of risk in patients with Chagas disease. The aim of this study was to identify echocardiographic parameters of diastolic function predictors of survival in patients with Chagas cardiomyopathy. METHODS: A total of 192 patients with Chagas cardiomyopathy (mean age, 48.5 +/- 12.1 years; 37% women) were prospectively enrolled. The end points were death and cardiac transplantation. RESULTS: Over a mean follow-up period of 33.8 months, LAV normalized for body surface area emerged as an independent predictor of survival (hazard ratio, 1.037 per 1 mL/m(2) change; 95% confidence interval, 1.018-1.056; P < .001), adding incremental prognostic value to clinical factors, LV ejection fraction, and Doppler-derived parameters of diastolic function. Receiver operating characteristic curve analysis identified the best cutoff values for the prediction of end points. LAV > 51 mL/m(2) was associated with significant excess mortality (log-rank, P < .001). CONCLUSIONS: LAV provides powerful prognostic information incrementally and independently to clinical data and conventional echocardiographic parameters in the prediction of survival. New York Heart Association functional class, LV ejection fraction, right ventricular function, the E/E' ratio, and LAV index can be used to build a risk prediction model, which can be used clinically.
Authors: Frederico J N Mancuso; Valdir A Moises; Dirceu R Almeida; Dalva Poyares; Luciana J Storti; Flavio S Brito; Sergio Tufik; Angelo A V de Paola; Antonio C C Carvalho; Orlando Campos Journal: Int J Cardiovasc Imaging Date: 2017-11-02 Impact factor: 2.357
Authors: Peace C Madueme; Wojciech Mazur; Kan N Hor; Joshua T Germann; John L Jefferies; Michael D Taylor Journal: Pediatr Cardiol Date: 2013-11-17 Impact factor: 1.655
Authors: Antonia Pino-Marín; Germán José Medina-Rincón; Sebastian Gallo-Bernal; Alejandro Duran-Crane; Álvaro Ignacio Arango Duque; María Juliana Rodríguez; Ramón Medina-Mur; Frida T Manrique; Julian F Forero; Hector M Medina Journal: Pathogens Date: 2021-04-22
Authors: Maria Carmo P Nunes; Lewis F Buss; Antonio Luiz P Ribeiro; Ester Cerdeira Sabino; Jose Luiz P Silva; Larissa Natany A Martins; Claudia Di Lorenzo Oliveira; Clareci Silva Cardoso; Bruno Oliveira de Figueiredo Brito; Ariela Mota Ferreira; Lea Campos Oliveira; Ana Luiza Bierrenbach; Fabio Fernandes; Michael P Busch; Viviane Tiemi Hotta; Luiz Mario Baptista Martinelli; Maria Carolina F Almeida Soeiro; Adriana Brentegani; Vera M C Salemi; Marcia M Menezes Journal: Circulation Date: 2021-09-27 Impact factor: 29.690