Literature DB >> 19428129

Predicting prognosis in patients with Chagas disease: why are the results of various studies so different?

Anis Rassi, Anis Rassi.   

Abstract

The clinical course of Chagas disease is highly variable, and the identification of patients at risk of dying is a critical issue. In the last decades multiple factors, such as NYHA functional class III/IV, cardiomegaly, low ejection fraction, and non-sustained ventricular tachycardia, have been reported as important markers of a poor outcome. Although prognostic models (usually obtained by techniques of multivariate regression analysis) are important tools to provide estimates of patient outcomes, they can yield problematic results if methodological guidelines and mathematical assumptions are not strictly followed. In this letter we address some of our concerns regarding prediction of death in patients with Chagas disease.
Copyright © 2009 Elsevier Ireland Ltd. All rights reserved.

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Year:  2009        PMID: 19428129     DOI: 10.1016/j.ijcard.2009.04.034

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  4 in total

Review 1.  Imaging Diagnosis of Right Ventricle Involvement in Chagas Cardiomyopathy.

Authors:  Minna M D Romano; Henrique T Moreira; André Schmidt; Benedito Carlos Maciel; José Antônio Marin-Neto
Journal:  Biomed Res Int       Date:  2017-08-27       Impact factor: 3.411

2.  Association study between CCR2-CCR5 genes polymorphisms and chronic Chagas heart disease in Wichi and in admixed populations from Argentina.

Authors:  Natalia Anahí Juiz; Elkyn Estupiñán; Daniel Hernández; Alejandra Garcilazo; Raúl Chadi; Gisela Morales Sanfurgo; Alejandro Gabriel Schijman; Silvia Andrea Longhi; Clara Isabel González
Journal:  PLoS Negl Trop Dis       Date:  2019-01-16

3.  Single nucleotide polymorphisms of cytokine-related genes and association with clinical outcome in a Chagas disease case-control study from Brazil.

Authors:  Lucia Elena Alvarado-Arnez; Angelica Martins Batista; Silvia Marinho Alves; Gloria Melo; Virgínia Maria Barros de Lorena; Cynthia C Cardoso; Isabela Resende Pereira; Cristina Carrazzone; Antonio G Pacheco; Wilson Oliveira; Milton Ozório Moraes; Joseli Lannes-Vieira
Journal:  Mem Inst Oswaldo Cruz       Date:  2018-05-14       Impact factor: 2.743

Review 4.  Precision Health for Chagas Disease: Integrating Parasite and Host Factors to Predict Outcome of Infection and Response to Therapy.

Authors:  Santiago J Martinez; Patricia S Romano; David M Engman
Journal:  Front Cell Infect Microbiol       Date:  2020-05-08       Impact factor: 6.073

  4 in total

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