Correlation Analysis between Polysomnography Diagnostic Indices and Heart Rate Variability Parameters among Patients with Obstructive Sleep Apnea Hypopnea Syndrome
| Autor: | Xian Huang, Chunyue Li, Xuhua Mao, Xuehao Gong, Leidan Huang, Yumei Wang, Haiting Chu, Xin Liu, Wei-Zong Liu, Wanqing Wu, Jun Lu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Male
Time Factors Pulmonology Apnea Myocardial Infarction lcsh:Medicine Polysomnography 030204 cardiovascular system & hematology Electrocardiography 0302 clinical medicine Mathematical and Statistical Techniques Heart Rate Medicine and Health Sciences Heart rate variability Child lcsh:Science Clinical Neurophysiology Sleep Apnea Obstructive Multidisciplinary medicine.diagnostic_test Sleep apnea Middle Aged Bioassays and Physiological Analysis Neurology Child Preschool Cardiology Regression Analysis Female medicine.symptom Hypopnea Research Article Adult medicine.medical_specialty Sleep Apnea Adolescent Research and Analysis Methods 03 medical and health sciences Young Adult Diagnostic Medicine Internal medicine Heart rate medicine Humans Heart Failure business.industry Electrophysiological Techniques lcsh:R medicine.disease Obstructive sleep apnea Oxygen Apnea–hypopnea index Case-Control Studies Physical therapy Time Domain Analysis lcsh:Q Cardiac Electrophysiology business Sleep Disorders Mathematical Functions 030217 neurology & neurosurgery |
| Zdroj: | PLoS ONE, Vol 11, Iss 6, p e0156628 (2016) PLoS ONE |
| ISSN: | 1932-6203 |
| Popis: | Heart rate variability (HRV) can reflect the changes in the autonomic nervous system (ANS) that are affected by apnea or hypopnea events among patients with obstructive sleep apnea hypopnea syndrome (OSAHS). To evaluate the possibility of using HRV to screen for OSAHS, we investigated the relationship between HRV and polysomnography (PSG) diagnostic indices using electrocardiography (ECG) and PSG data from 25 patients with OSAHS and 27 healthy participants. We evaluated the relationship between various PSG diagnostic indices (including the apnea hypopnea index [AHI], micro-arousal index [MI], oxygen desaturation index [ODI]) and heart rate variability (HRV) parameters using Spearman’s correlation analysis. Moreover, we used multiple linear regression analyses to construct linear models for the AHI, MI, and ODI. In our analysis, the AHI was significantly associated with relative powers of very low frequency (VLF [%]) (r = 0.641, P = 0.001), relative powers of high frequency (HF [%]) (r = -0.586, P = 0.002), ratio between low frequency and high frequency powers (LF/HF) (r = 0.545, P = 0.049), normalized powers of low frequency (LF [n.u.]) (r = 0.506, P = 0.004), and normalized powers of high frequency (HF [n.u.]) (r = -0.506, P = 0.010) among patients with OSAHS. The MI was significantly related to standard deviation of RR intervals (SDNN) (r = 0.550, P = 0.031), VLF [%] (r = 0.626, P = 0.001), HF [%] (r = -0.632, P = 0.001), LF/HF (r = 0.591, P = 0.011), LF [n.u.] (r = 0.553, P = 0.004), HF [n.u.] (r = -0.553, P = 0.004), and absolute powers of very low frequency (VLF [abs]) (r = 0.525, P = 0.007) among patients with OSAHS. The ODI was significantly correlated with VLF [%] (r = 0.617, P = 0.001), HF [%] (r = -0.574, P = 0.003), LF [n.u.] (r = 0.510, P = 0.012), and HF [n.u.] (r = -0.510, P = 0.012) among patients with OSAHS. The linear models for the PSG diagnostic indices were AHI = -38.357+1.318VLF [%], MI = -13.389+11.297LF/HF+0.266SDNN, and ODI = -55.588+1.715VLF [%]. However, the PSG diagnostic indices were not related to the HRV parameters among healthy participants. Our analysis suggests that HRV parameters are powerful tools to screen for OSAHS patients in place of PSG monitoring. |
| Databáze: | OpenAIRE |
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