Identification of Obstructive Sleep Apnea Syndrome by Ambulatory Electrocardiography: Clinical Evaluation of Time-domain and Frequency-domain Analyses of Heart Rate Variability in Chinese Patients |
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Authors: | Sun Jianling Li Xiaoying Guo Jihong Han Fang Zhang Haicheng |
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Institution: | (1) Department of Cardiology, Aviation Industry Central Hospital, An Ding Men Wai Bei Yuan Road 3, Beijing, 100012, China;(2) Department of Geriatric Cardiology, The Chinese People’s Liberation Army General Hospital, Beijing, China;(3) Electrophysiology Group, Department of Cardiology, People’s Hospital, Peking University, Beijing, China;(4) Sleep Centre, Department of Respiration, People’s Hospital, Peking University, Beijing, China |
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Abstract: | The application of ambulatory electrocardiography to identify obstructive sleep apnea syndrome (OSAS) patients was evaluated
using time-domain and frequency-domain analyses of heart rate variability (HRV). For this, overnight sleep pattern was investigated
in 95 individuals (48 OSAS+ patients and 47 OSAS− controls) by polysomnography and 24-h ambulatory electrocardiography. Apnea scores were calculated using two different HRV
analyses. Average age and body mass index, and percentages of men and of patients with history of hypertension and/or diabetes
were higher in study group as compared with control group. PNN50night, SDNNIday–night and SDNNIday–night in time-domain analysis were more sensitive than other indices. In frequency-domain analysis, mean night-time total power,
night-time VLF power, night-time LF power, and the difference between these measures in day and night were significantly higher
in study group. LF/HF ratio was also significantly higher in study group in day-time or night-time with a significant difference
(P < 0.05) between day and night. At sleep apnea risk score >4, sensitivity, specificity, and positive predictive value were,
respectively, 81.25, 46.81, and 64.21%. At sleep apnea risk scores >5, 6, or 7, the specificity increased, while the sensitivity
and positive predictive value decreased. In conclusion, time-domain and frequency-domain HRV analyses are useful methods for
OSAS screening, and the frequency-domain analysis is more sensitive. |
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