Recurrence Plots: a New Tool for Quantification of Cardiac Autonomic Nervous System Recovery after Transplant

• Autor(a) principal: Takakura,Isabela Thomaz
• Data de Publicação: 2017
• Outros Autores: Hoshi,Rosangela Akemi, Santos,Márcio Antonio, Pivatelli,Flávio Correa, Nóbrega,João Honorato, Guedes,Débora Linhares, Nogueira,Victor Freire, Frota,Tuane Queiroz, Castelo,Gabriel Castro, Godoy,Moacir Fernandes de
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Brazilian Journal of Cardiovascular Surgery (Online)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-76382017000400245
• topic: Heart failure; Transplantation; Autonomic Nervous System

Abstract Objective: To evaluate a possible evolutionary post-heart transplant return of autonomic function using quantitative and qualitative information from recurrence plots. Methods: Using electrocardiography, 102 RR tachograms of 45 patients (64.4% male) who underwent heart transplantation and that were available in the database were analyzed at different follow-up periods. The RR tachograms were collected from patients in the supine position for about 20 minutes. A time series with 1000 RR intervals was analyzed, a recurrence plot was created, and the following quantitative variables were evaluated: percentage of determinism, percentage of recurrence, average diagonal length, Shannon entropy, and sample entropy, as well as the visual qualitative aspect. Results: Quantitative and qualitative signs of heart rate variability recovery were observed after transplantation. Conclusion: There is evidence that autonomic innervation of the heart begins to happen gradually after transplantation. Quantitative and qualitative analyses of recurrence can be useful tools for monitoring cardiac transplant patients and detecting the gradual return of heart rate variability.