Literature DB >> 25714408

Heart rate variability and Chagas heart disease.

Marcos Antonio Almeida-Santos1, Antonio Carlos Sobral Sousa2.   

Abstract

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Year:  2015        PMID: 25714408      PMCID: PMC4387616          DOI: 10.5935/abc.20150003

Source DB:  PubMed          Journal:  Arq Bras Cardiol        ISSN: 0066-782X            Impact factor:   2.000


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We believe that the present study is relevant, which investigated the effect of exercise training on heart rate variability (HRV) in patients with Chagas heart disease[1]. However, there are some issues in this study, which should be further discussed. The use of amiodarone in approximately 80% of patients may have decreased their autonomic response[2], affecting the validity of HRV parameters. Furthermore, low-ejection fraction (mean, 37%) may have acted as a confounding factor, and this finding may need to be investigated by inclusion of a control group without Chagas heart disease but with similar ejection fraction; inclusion of a control group with Chagas heart disease but with ejection fraction close to normal; or better yet, the inclusion of both groups. A small sample size (37 subjects divided into two groups) masks potential differences; for a power of 80% and a two‑tailed alpha of 0.05, we estimate that the effect size ("d") of a large magnitude (d = 0.95) would be required to be detectable. In fact, even when calculating the sample size, underpowering has been one of the major obstacles in clinical studies[3]. Although we did not consider a very high standard deviation (which would lead to greater difficulties), the effective post hoc power to detect intergroup differences considering a SDNN value of 0.15 would be only 7.3%, according to our calculations. Moreover, we believe that, instead of the separate use of paired tests and tests for independent samples to answer the original question, other models (e.g., panel data or mixed models) are better adjusted to the experimental design and to the proposed objectives.
  3 in total

1.  Underpowering in randomized trials reporting a sample size calculation.

Authors:  Andrew J Vickers
Journal:  J Clin Epidemiol       Date:  2003-08       Impact factor: 6.437

2.  Depressed heart rate variability identifies postinfarction patients who might benefit from prophylactic treatment with amiodarone: a substudy of EMIAT (The European Myocardial Infarct Amiodarone Trial).

Authors:  M Malik; A J Camm; M J Janse; D G Julian; G A Frangin; P J Schwartz
Journal:  J Am Coll Cardiol       Date:  2000-04       Impact factor: 24.094

3.  Effects of exercise training on heart rate variability in Chagas heart disease.

Authors:  Bruno Ramos Nascimento; Márcia Maria Oliveira Lima; Maria do Carmo Pereira Nunes; Maria Clara Noman de Alencar; Henrique Silveira Costa; Marcelo Martins Pinto Filho; Vitor Emanuel Serafim Cota; Manoel Otávio da Costa Rocha; Antonio Luiz Pinho Ribeiro
Journal:  Arq Bras Cardiol       Date:  2014-08-01       Impact factor: 2.000

  3 in total
  1 in total

1.  Low heart rate variability relates to the progression of gastric cancer.

Authors:  Songjie Hu; Jie Lou; Youping Zhang; Ping Chen
Journal:  World J Surg Oncol       Date:  2018-03-07       Impact factor: 2.754

  1 in total

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