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Heart Rate Detrended Fluctuation Indexes as Estimate of Obstructive Sleep Apnea Severity

In the present study, we aimed at investigating a heart rate variability (HRV) biomarker that could be associated with the severity of the apnea–hypopnea index (AHI), which could be used for an early diagnosis of obstructive sleep apnea (OSA). This was a cross-sectional observational study on 47 pat...

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Autores principales: da Silva, Eduardo Luiz Pereira, Pereira, Rafael, Reis, Luciano Neves, Pereira, Valter Luis, Campos, Luciana Aparecida, Wessel, Niels, Baltatu, Ovidiu Constantin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4602981/
https://www.ncbi.nlm.nih.gov/pubmed/25634206
http://dx.doi.org/10.1097/MD.0000000000000516
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author da Silva, Eduardo Luiz Pereira
Pereira, Rafael
Reis, Luciano Neves
Pereira, Valter Luis
Campos, Luciana Aparecida
Wessel, Niels
Baltatu, Ovidiu Constantin
author_facet da Silva, Eduardo Luiz Pereira
Pereira, Rafael
Reis, Luciano Neves
Pereira, Valter Luis
Campos, Luciana Aparecida
Wessel, Niels
Baltatu, Ovidiu Constantin
author_sort da Silva, Eduardo Luiz Pereira
collection PubMed
description In the present study, we aimed at investigating a heart rate variability (HRV) biomarker that could be associated with the severity of the apnea–hypopnea index (AHI), which could be used for an early diagnosis of obstructive sleep apnea (OSA). This was a cross-sectional observational study on 47 patients (age 36 ± 9.2 standard deviation) diagnosed with mild (23.4%), moderate (34%), or severe (42.6%) OSA. HRV was studied by linear measures of fast Fourier transform, nonlinear Poincaré analysis, and detrended fluctuation analysis (DFA)—DFA α1 characterizes short-term fluctuations, DFA α2 characterizes long-term fluctuations. Associations between polysomnography indexes (AHI, arousal index [AI], and oxygen desaturation index [ODI]) and HRV indexes were studied. Patients with different grades of AHI had similar sympathovagal balance levels as indicated by the frequency-domain and Poincaré HRV indexes. The DFA α2 index was significantly positive correlated with AHI, AI, and ODI (Pearson r: 0.55, 0.59, and 0.59, respectively, with P < 0.0001). The ROC analysis revealed that DFA α2 index predicted moderate and severe OSA with a sensitivity/specificity/area under the curve of 0.86/0.64/0.8 (P = 0.005) and 0.6/0.89/0.76 (P = 0.003), respectively. Our data indicate that the DFA α2 index may be used as a reliable index for the detection of OSA severity.
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spelling pubmed-46029812015-10-27 Heart Rate Detrended Fluctuation Indexes as Estimate of Obstructive Sleep Apnea Severity da Silva, Eduardo Luiz Pereira Pereira, Rafael Reis, Luciano Neves Pereira, Valter Luis Campos, Luciana Aparecida Wessel, Niels Baltatu, Ovidiu Constantin Medicine (Baltimore) 3400 In the present study, we aimed at investigating a heart rate variability (HRV) biomarker that could be associated with the severity of the apnea–hypopnea index (AHI), which could be used for an early diagnosis of obstructive sleep apnea (OSA). This was a cross-sectional observational study on 47 patients (age 36 ± 9.2 standard deviation) diagnosed with mild (23.4%), moderate (34%), or severe (42.6%) OSA. HRV was studied by linear measures of fast Fourier transform, nonlinear Poincaré analysis, and detrended fluctuation analysis (DFA)—DFA α1 characterizes short-term fluctuations, DFA α2 characterizes long-term fluctuations. Associations between polysomnography indexes (AHI, arousal index [AI], and oxygen desaturation index [ODI]) and HRV indexes were studied. Patients with different grades of AHI had similar sympathovagal balance levels as indicated by the frequency-domain and Poincaré HRV indexes. The DFA α2 index was significantly positive correlated with AHI, AI, and ODI (Pearson r: 0.55, 0.59, and 0.59, respectively, with P < 0.0001). The ROC analysis revealed that DFA α2 index predicted moderate and severe OSA with a sensitivity/specificity/area under the curve of 0.86/0.64/0.8 (P = 0.005) and 0.6/0.89/0.76 (P = 0.003), respectively. Our data indicate that the DFA α2 index may be used as a reliable index for the detection of OSA severity. Wolters Kluwer Health 2015-01-30 /pmc/articles/PMC4602981/ /pubmed/25634206 http://dx.doi.org/10.1097/MD.0000000000000516 Text en Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle 3400
da Silva, Eduardo Luiz Pereira
Pereira, Rafael
Reis, Luciano Neves
Pereira, Valter Luis
Campos, Luciana Aparecida
Wessel, Niels
Baltatu, Ovidiu Constantin
Heart Rate Detrended Fluctuation Indexes as Estimate of Obstructive Sleep Apnea Severity
title Heart Rate Detrended Fluctuation Indexes as Estimate of Obstructive Sleep Apnea Severity
title_full Heart Rate Detrended Fluctuation Indexes as Estimate of Obstructive Sleep Apnea Severity
title_fullStr Heart Rate Detrended Fluctuation Indexes as Estimate of Obstructive Sleep Apnea Severity
title_full_unstemmed Heart Rate Detrended Fluctuation Indexes as Estimate of Obstructive Sleep Apnea Severity
title_short Heart Rate Detrended Fluctuation Indexes as Estimate of Obstructive Sleep Apnea Severity
title_sort heart rate detrended fluctuation indexes as estimate of obstructive sleep apnea severity
topic 3400
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4602981/
https://www.ncbi.nlm.nih.gov/pubmed/25634206
http://dx.doi.org/10.1097/MD.0000000000000516
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