Yan Han, Dong Xiao-song, Li Yu-qian, Liu Ya-nan, Li Jing, An Pei, Zhao Long, Gao Zhan-cheng, Han Fang
Department of Respiratory Medicine, Peking University People's Hospital, Beijing, China.
Zhonghua Yi Xue Za Zhi. 2013 Feb 5;93(6):415-8.
To validate the values of monitoring airflow, oxygen saturation and respiratory effort in the diagnosis of sleep apnea-hypopnea syndrome (SAHS).
A total of 70 subjects with suspected SAHS underwent the tests of polysomnography (PSG) and portable monitoring device (PMD) separately at our sleep lab. The portable monitoring device recorded nasal airflow, oxygen saturation and respiratory effort. Apnea-hypopnea index (AHI) or respiratory disturbed index (RDI), lowest oxygen saturation (LSaO2), oxygen desaturation index (ODI4) and percentage of different types of sleep breathing events (central/obstructive/mixed hypopnea) accounting for the total numbers of sleep disordered breathing were also analyzed. The data of AHI and ODI4 showed skew distribution undergoing log transformation to approximate to normal distribution. Pair t test was used for the comparisons of different parameters. The agreement between two methods was analyzed by Bland-Altman plot.
Fifty-eight subjects were diagnosed as SAHS with an AHI (RDI) over 5 on PSG. The sensitivity and specificity of portable monitoring device were 94.8% and 75.0% respectively. The mean AHI derived from PSG and RDI derived from PMD were (27 ± 25) and (29 ± 27) times per hour respectively and those after log transformation were (1.2 ± 0.5) and (1. 2 ± 0.5) times per hour (P = 0.411). The mean ODI4 derived from PSG and PMD were (23 ± 25) and (21 ± 24) and those after log transformation (0.9 ± 0.7) and (1.1 ± 0.5) times per hour respectively (P = 0.042). The mean values of LSaO2 were 79% ± 13% and 79% ± 12% respectively (P = 0.550). No significant differences existed between AHI derived from PSG and RDI derived from PMD. Bland-Altman plot also showed a high agreement between AHI derived from PSG and RDI derived from PMD. PMD could also identify major part of different events so as to aid clinical decision-making.
Portable monitoring device recording airflow, oxygen saturation and respiratory effort shows a great agreement with PSG with regards to AHI (RDI) and the identification of different types of respiratory events.
验证监测气流、血氧饱和度和呼吸努力程度在睡眠呼吸暂停低通气综合征(SAHS)诊断中的价值。
70例疑似SAHS患者在我院睡眠实验室分别接受多导睡眠图(PSG)检查和便携式监测设备(PMD)检查。便携式监测设备记录鼻气流、血氧饱和度和呼吸努力程度。分析呼吸暂停低通气指数(AHI)或呼吸紊乱指数(RDI)、最低血氧饱和度(LSaO2)、氧减饱和指数(ODI4)以及不同类型睡眠呼吸事件(中枢性/阻塞性/混合性低通气)占睡眠呼吸紊乱总数的百分比。AHI和ODI4数据呈偏态分布,经对数转换以近似正态分布。采用配对t检验比较不同参数。通过Bland-Altman图分析两种方法之间的一致性。
58例患者经PSG检查诊断为SAHS,AHI(RDI)大于5。便携式监测设备的敏感度和特异度分别为94.8%和75.0%。PSG得出的平均AHI和PMD得出的RDI分别为每小时(27±25)次和(29±27)次,对数转换后分别为每小时(1.2±0.5)次和(1.2±0.5)次(P = 0.411)。PSG得出的平均ODI4和PMD得出的ODI4分别为每小时(23±25)次和(21±24)次,对数转换后分别为每小时(0.9±0.7)次和(1.1±0.5)次(P = 0.042)。LSaO2的平均值分别为79%±13%和79%±12%(P = 0.550)。PSG得出的AHI与PMD得出的RDI之间无显著差异。Bland-Altman图也显示PSG得出的AHI与PMD得出的RDI之间具有高度一致性。PMD还可识别不同事件的主要部分,以辅助临床决策。
记录气流、血氧饱和度和呼吸努力程度的便携式监测设备在AHI(RDI)及不同类型呼吸事件的识别方面与PSG具有高度一致性。