The predictive value of Holter monitoring in the risk of obstructive sleep apnea

被引:6
|
作者
Lao, Miaochan [1 ]
Ou, Qiong [1 ]
Li, Cui'e [2 ]
Wang, Qian [1 ]
Yuan, Ping [3 ]
Cheng, Yilu [4 ]
机构
[1] Guangdong Acad Med Sci, Guangdong Prov Geriatr Inst, Dept Sleep Ctr, Dept Pulm & Crit Care Med,Guangdong Prov Peoples, 106 Zhongshan Er Rd, Guangzhou 510080, Peoples R China
[2] Guangdong Acad Med Sci, Guangdong Cardiovasc Inst, Electrocardiog Room, Guangdong Prov Peoples Hosp, Guangzhou, Peoples R China
[3] Southern Med Univ, Guangdong Acad Med Sci, Dept Pulm & Crit Care Med,Dept Sleep Ctr,Sch Clin, Guangdong Prov People Hosp,Guangdong Prov Geriatr, Guangzhou, Peoples R China
[4] South China Univ Technol, Dept Sleep Ctr,Med Coll, Dept Pulm & Crit Care Med,Guangdong Prov Geriatr, Guangdong Prov Peoples Hosp,Guangdong Acad Med Sc, Guangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Holter; respiratory waveform; heart rate variability (HRV); obstructive sleep apnea (OSA); UPDATE;
D O I
10.21037/jtd-20-3078
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Background: Patients with obstructive sleep apnea (OSA) often present with cardiovascular symptoms. Holter monitors were reported to predict sleep apnea, though were rarely used in everyday clinical practice. In this study, by comparing Holter monitoring to polysomnography (PSG), we try to find out an operable way for clinicians to use Holter to predict OSA risk. Methods: Patients (n=63) suspected of OSA underwent Holter monitoring with concurrent PSG at a sleep center. Respiration and heart rate variability (HRV) indices were calculated from the Holter and compared with PSG indices. Results: The sensitivity of the Holter-derived respiratory waveform for OSA was 90.0%, and the specificity was 82.6%. The time domain indices including standard deviation of all NN intervals during 24 hours, mean of standard deviation of the averages of NN intervals in all 5-minute segments, square root of the mean squared differences of successive NN intervals, percentage of beat-to-beat NN interval differences that were more than 50 milliseconds, and the frequency domain index of high frequency decreased in participants with OSA and correlated with the PSG derived indices including apnea-hypopnea index (AHI), oxygen reduction index (ODI) and nadir SaO(2). Logistic regression showed that standard deviation of all NN intervals during 24 hours and gender could predict the risk of OSA (P<0.001), with a sensitivity for diagnosing moderate to severe OSA of 87.5% and could accurately distinguish the risk of OSA in 77.8% of patients. Males with standard deviation of all NN intervals during 24 hours <= 177 ms or females with standard deviation of all NN intervals during 24 hours <= 80.9 ms were considered to be at high risk for OSA. Conclusions: Commercial and common parameters from Holter monitoring could predict the risk of OSA with high sensitivity. Therefore, the risk of OSA may be assessed using the Holter examination to improve the diagnosis and treatment rate of OSA.
引用
收藏
页码:1872 / 1881
页数:10
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