title: Correlation Analysis between Polysomnography Diagnostic Indices and Heart Rate Variability Parameters among Patients with Obstructive Sleep Apnea Hypopnea Syndrome.
abstract: 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.
authors.affiliation: Department of Ultrasound, First Affiliated Hospital of Shenzhen University, Second People's Hospital of Shenzhen, Shenzhen, Guangdong, China.
authors.forename: Xuehao
authors.initials: X
authors.lastname: Gong
authors.affiliation: Department of Ultrasound, First Affiliated Hospital of Shenzhen University, Second People's Hospital of Shenzhen, Shenzhen, Guangdong, China.|Guangzhou Medical University, Guangzhou, Guangdong, China.
authors.forename: Leidan
authors.initials: L
authors.lastname: Huang
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
authors.forename: Xin
authors.initials: X
authors.lastname: Liu
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
authors.forename: Chunyue
authors.initials: C
authors.lastname: Li
authors.affiliation: Guangzhou Medical University, Guangzhou, Guangdong, China.|Department of Thyroid and Breast Surgery, First Affiliated Hospital of Shenzhen University, Second People's Hospital of Shenzhen, Shenzhen, Guangdong, China.
authors.forename: Xuhua
authors.initials: X
authors.lastname: Mao
authors.affiliation: Department of Ultrasound, First Affiliated Hospital of Shenzhen University, Second People's Hospital of Shenzhen, Shenzhen, Guangdong, China.
authors.forename: Weizong
authors.initials: W
authors.lastname: Liu
authors.affiliation: Department of Ultrasound, First Affiliated Hospital of Shenzhen University, Second People's Hospital of Shenzhen, Shenzhen, Guangdong, China.|Anhui Medical University, Hefei, Anhui, China.
authors.forename: Xian
authors.initials: X
authors.lastname: Huang
authors.affiliation: Department of Ultrasound, First Affiliated Hospital of Shenzhen University, Second People's Hospital of Shenzhen, Shenzhen, Guangdong, China.|Anhui Medical University, Hefei, Anhui, China.
authors.forename: Haiting
authors.initials: H
authors.lastname: Chu
authors.affiliation: Department of Respiratory Medicine, Xili People's Hospital of Shenzhen, Shenzhen, Guangdong, China.
authors.forename: Yumei
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
authors.forename: Wanqing
authors.initials: W
authors.lastname: Wu
authors.affiliation: Department of Ultrasound, Second Clinical College of Jinan University, People's Hospital of Shenzhen, Shenzhen, Guangdong, China.
authors.forename: Jun
authors.initials: J
authors.lastname: Lu
mesh_terms: D000293:Adolescent; D000328:Adult; D016022:Case-Control Studies; D002648:Child; D002675:Child, Preschool; D005260:Female; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D010100:Oxygen / Q000032:analysis; D017286:Polysomnography / Q000379:methods*; D012044:Regression Analysis; D020181:Sleep Apnea, Obstructive / Q000175:diagnosis* / Q000503:physiopathology*; D013997:Time Factors; D055815:Young Adult
chemical_list: D010100:Oxygen