Shiroshita Nanako, Obata Ryoko, Kawana Fusae, Kato Mitsue, Sato Akihiro, Ishiwata Sayaki, Yatsu Shoichiro, Matsumoto Hiroki, Shitara Jun, Murata Azusa, Shimizu Megumi, Kato Takao, Suda Shoko, Tomita Yasuhiro, Hiki Masaru, Naito Ryo, Kasai Takatoshi
Cardiovascular Respiratory Sleep Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Philips Japan, Tokyo, Japan.
Nat Sci Sleep. 2025 Jul 11;17:1629-1637. doi: 10.2147/NSS.S541933. eCollection 2025.
Home sleep apnea tests (HSATs) using polygraphy devices are becoming increasingly important for evaluating obstructive sleep apnea. Alice NightOne, a widely used polygraphy device, includes automatic scoring software; however, more reliable scoring results can be provided by incorporating advanced algorithmic systems like Somnolyzer. Despite this, the accuracy of automatic scoring of this polygraphy device using such applications has not been specifically investigated. Thus, in this study, we aimed to compare the respiratory event indices (REIs) obtained via automatic scoring versus manual scoring.
Data of eligible patients who underwent HSAT with this polygraphy device were retrospectively analyzed using the following three methods: 1) manual scoring; 2) default automatic scoring of the analysis software; and 3) automatic scoring with the Somnolyzer system. The REIs were calculated using these three methods and expressed as mREI, aREI, and sREI, respectively. Correlations and agreements between the aREI, sREI, and mREI were assessed.
Data from 20 patients were analyzed. The mean mREI, aREI, and sREI were 14.7±13.3, 13.7±11.8, and 14.3±13.4 events/h, respectively. A strong correlation was found between aREI and mREI (coefficient, 0.976; P<0.01), with a mean difference between them of 1.0 and a limit of agreement of -5.3 to 7.3. The correlation between sREI and mREI was more prominent (coefficient, 0.996; P<0.001); their mean difference was 0.1, with a limit of agreement of -2.1 to 2.9.
Automatic scoring of REI using this polygraphy device showed good correlation and agreement with manual scoring. The favorable correlation and agreement were more pronounced with the Somnolyzer system.
使用多导睡眠图设备进行的家庭睡眠呼吸暂停测试(HSATs)对于评估阻塞性睡眠呼吸暂停变得越来越重要。广泛使用的多导睡眠图设备Alice NightOne包括自动评分软件;然而,通过整合像Somnolyzer这样的先进算法系统可以提供更可靠的评分结果。尽管如此,使用此类应用程序对该多导睡眠图设备进行自动评分的准确性尚未得到专门研究。因此,在本研究中,我们旨在比较通过自动评分与手动评分获得的呼吸事件指数(REIs)。
对使用该多导睡眠图设备进行HSAT的符合条件患者的数据进行回顾性分析,采用以下三种方法:1)手动评分;2)分析软件的默认自动评分;3)使用Somnolyzer系统进行自动评分。使用这三种方法计算REIs,并分别表示为mREI、aREI和sREI。评估aREI、sREI和mREI之间的相关性和一致性。
分析了20例患者的数据。mREI、aREI和sREI的平均值分别为14.7±13.3、13.7±11.8和14.3±13.4次/小时。发现aREI与mREI之间存在强相关性(系数,0.976;P<0.01),它们之间的平均差异为1.0,一致性界限为-5.3至7.3。sREI与mREI之间的相关性更显著(系数,0.996;P<0.001);它们的平均差异为0.1,一致性界限为-2.1至2.9。
使用该多导睡眠图设备对REI进行自动评分与手动评分显示出良好的相关性和一致性。使用Somnolyzer系统时,良好的相关性和一致性更为明显。