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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Veröffentlicht in:Medicine (Baltimore) 2015-01, Vol.94 (4), p.e516-e516
Hauptverfasser: da Silva, Eduardo Luiz Pereira, Pereira, Rafael, Reis, Luciano Neves, Pereira, Valter Luis, Campos, Luciana Aparecida, Wessel, Niels, Baltatu, Ovidiu Constantin
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Sprache:eng
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Zusammenfassung: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 
ISSN:0025-7974
1536-5964
DOI:10.1097/MD.0000000000000516