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Quantifying Effects of Pharmacological Blockers of Cardiac Autonomous Control Using Variability Parameters.
Miyabara, Renata; Berg, Karsten; Kraemer, Jan F; Baltatu, Ovidiu C; Wessel, Niels; Campos, Luciana A.
Afiliação
  • Miyabara R; Center of Innovation, Technology and Education (CITE), Anhembi Morumbi University - Laureate International UniversitiesSao Jose dos Campos, Brazil; Center of Innovation, Technology and Education (CITE), Camilo Castelo Branco UniversitySao Jose dos Campos, Brazil.
  • Berg K; Institut für Physik, Humboldt-Universität zu Berlin Berlin, Germany.
  • Kraemer JF; Institut für Physik, Humboldt-Universität zu Berlin Berlin, Germany.
  • Baltatu OC; Center of Innovation, Technology and Education (CITE), Anhembi Morumbi University - Laureate International UniversitiesSao Jose dos Campos, Brazil; Center of Innovation, Technology and Education (CITE), Camilo Castelo Branco UniversitySao Jose dos Campos, Brazil.
  • Wessel N; Institut für Physik, Humboldt-Universität zu Berlin Berlin, Germany.
  • Campos LA; Center of Innovation, Technology and Education (CITE), Anhembi Morumbi University - Laureate International UniversitiesSao Jose dos Campos, Brazil; Center of Innovation, Technology and Education (CITE), Camilo Castelo Branco UniversitySao Jose dos Campos, Brazil.
Front Physiol ; 8: 10, 2017.
Article em En | MEDLINE | ID: mdl-28167918
Objective: The aim of this study was to identify the most sensitive heart rate and blood pressure variability (HRV and BPV) parameters from a given set of well-known methods for the quantification of cardiovascular autonomic function after several autonomic blockades. Methods: Cardiovascular sympathetic and parasympathetic functions were studied in freely moving rats following peripheral muscarinic (methylatropine), ß1-adrenergic (metoprolol), muscarinic + ß1-adrenergic, α1-adrenergic (prazosin), and ganglionic (hexamethonium) blockades. Time domain, frequency domain and symbolic dynamics measures for each of HRV and BPV were classified through paired Wilcoxon test for all autonomic drugs separately. In order to select those variables that have a high relevance to, and stable influence on our target measurements (HRV, BPV) we used Fisher's Method to combine the p-value of multiple tests. Results: This analysis led to the following best set of cardiovascular variability parameters: The mean normal beat-to-beat-interval/value (HRV/BPV: meanNN), the coefficient of variation (cvNN = standard deviation over meanNN) and the root mean square differences of successive (RMSSD) of the time domain analysis. In frequency domain analysis the very-low-frequency (VLF) component was selected. From symbolic dynamics Shannon entropy of the word distribution (FWSHANNON) as well as POLVAR3, the non-linear parameter to detect intermittently decreased variability, showed the best ability to discriminate between the different autonomic blockades. Conclusion: Throughout a complex comparative analysis of HRV and BPV measures altered by a set of autonomic drugs, we identified the most sensitive set of informative cardiovascular variability indexes able to pick up the modifications imposed by the autonomic challenges. These indexes may help to increase our understanding of cardiovascular sympathetic and parasympathetic functions in translational studies of experimental diseases.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Physiol Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Physiol Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça