BACKGROUND: heart rate variability (HRV) is a noninvasive diagnostic method used in the assessment of the autonomic modulation of the heart. The assessment of HRV using nonlinear dynamics methods in the preoperative period of surgical myocardial revascularization could be predictive of morbidity such as pulmonary infections in the postoperative period. OBJECTIVE: to evaluate the behavior of HRV using nonlinear dynamics in the preoperative period of surgical myocardial revascularization and its relation to the occurrence of pulmonary infections in the in-hospital postoperative period. METHODS: a total of 69 patients with coronary artery disease (mean age of 58.6 ± 10.4 years) and indication for elective surgical myocardial revascularization were studied. In order to quantify the nonlinear dynamics of HRV, the following procedures were performed: detrended fluctuation analysis (DFA); analysis of the short (α1) and long-term (α2) components of DFA; approximate entropy (ApEn); Lyapunov exponent (LE); and Hurst exponent (HE) of time series of RR intervals of the ECG, as captured by the Polar S810i instrument on the day before surgery. RESULTS: at the cut-off levels set by the ROC curve, there was a significant difference between the groups with and without pulmonary infections in the postoperative period of myocardial revascularization for total DFA, approximate entropy and Lyapunov exponent with p = 0. 0309, p = 0.0307 and p = 0.0006, respectively. CONCLUSION: the nonlinear dynamics methods, at their respective cut-off levels, allowed for the identification of patients developing pulmonary infection in the postoperative period of surgical myocardial revascularization, thus suggesting that these methods may have a prognostic value for this group of patients.
BACKGROUND: heart rate variability (HRV) is a noninvasive diagnostic method used in the assessment of the autonomic modulation of the heart. The assessment of HRV using nonlinear dynamics methods in the preoperative period of surgical myocardial revascularization could be predictive of morbidity such as pulmonary infections in the postoperative period. OBJECTIVE: to evaluate the behavior of HRV using nonlinear dynamics in the preoperative period of surgical myocardial revascularization and its relation to the occurrence of pulmonary infections in the in-hospital postoperative period. METHODS: a total of 69 patients with coronary artery disease (mean age of 58.6 ± 10.4 years) and indication for elective surgical myocardial revascularization were studied. In order to quantify the nonlinear dynamics of HRV, the following procedures were performed: detrended fluctuation analysis (DFA); analysis of the short (α1) and long-term (α2) components of DFA; approximate entropy (ApEn); Lyapunov exponent (LE); and Hurst exponent (HE) of time series of RR intervals of the ECG, as captured by the Polar S810i instrument on the day before surgery. RESULTS: at the cut-off levels set by the ROC curve, there was a significant difference between the groups with and without pulmonary infections in the postoperative period of myocardial revascularization for total DFA, approximate entropy and Lyapunov exponent with p = 0. 0309, p = 0.0307 and p = 0.0006, respectively. CONCLUSION: the nonlinear dynamics methods, at their respective cut-off levels, allowed for the identification of patients developing pulmonary infection in the postoperative period of surgical myocardial revascularization, thus suggesting that these methods may have a prognostic value for this group of patients.
Authors: Tatiana Dias de Carvalho; Alex Rey Norberto; Fernando Rocha Oliveira; Laercio da Silva Paiva; Edmund Chada Baracat; José Maria Soares Júnior; Luiz Carlos Marques Vanderlei; Isabel Cristina Esposito Sorpreso Journal: Rev Assoc Med Bras (1992) Date: 2022-05-13 Impact factor: 1.712
Authors: Anne Kastelianne França da Silva; Marianne Penachini da Costa de Rezende Barbosa; Franciele Marques Vanderlei; Diego Giuliano Destro Christofaro; Luiz Carlos Marques Vanderlei Journal: Ann Noninvasive Electrocardiol Date: 2016-05 Impact factor: 1.468
Authors: Ana Márcia Dos Santos António; Marcelo Tavella Navega; Marco Aurélio Cardoso; Luiz Carlos Abreu; Vitor E Valenti Journal: Int Arch Med Date: 2014-09-23
Authors: Joice A T do Amaral; Heraldo L Guida; Luiz Carlos de Abreu; Viviani Barnabé; Franciele M Vanderlei; Vitor E Valenti Journal: J Tradit Complement Med Date: 2015-01-07
Authors: Flávio Correa Pivatelli; Marcio Antonio Dos Santos; Gislaine Buzzini Fernandes; Marcio Gatti; Luiz Carlos de Abreu; Vitor E Valenti; Luiz Carlos M Vanderlei; Celso Ferreira; Fernando Adami; Tatiana Dias de Carvalho; Carlos Bandeira de Mello Monteiro; Moacir Fernandes de Godoy Journal: Int Arch Med Date: 2012-10-30