Sommer J Ulrich, Lindner Lisa, Kent David T, Heiser Clemens
Klinikum Rechts der Isar, Technical University Munich, 81675 Munich, Germany.
HNO-Zentrum Mangfall-Inn, 83043 Bad Aibling, Germany.
J Clin Med. 2024 Aug 8;13(16):4664. doi: 10.3390/jcm13164664.
: Obstructive Sleep apnea (OSA) is a prevalent sleep disorder, risk factor for cardiovascular disease and imposes a substantial global socioeconomic and health burden. OSA is insufficiently diagnosed as it often presents with unspecific or no symptoms. This study compares the effectiveness of a smartphone-based screening method to polysomnography (PSG) in a general, non-symptomatic population sample. : Adult subjects were recruited from the general population. Subjects reporting OSA-related symptoms suggesting an increased OSA risk were excluded. Included subjects underwent Type-II PSG and a parallel breathing sound analysis using the Snorefox M smartphone app. The PSG scores were compared with the results of the Snorefox M app for its ability to detect moderate to severe OSA (AHI ≥ 15). : 150 subjects were included. All subjects completed the diagnostic night, no adverse events occurred. A valid analysis result was obtained for 142 subjects. A total of 24% of subjects had moderate to severe OSA based on the PSG results. The Snorefox M software app showed a sensitivity of 0.91 (0.76, 0.98), specificity of 0.83, PPV of 0.63 (0.48, 0.77), and NPV of 0.97 (0.91, 0.99) to detect AHI ≥ 15 compared with the reference PSG (95% CI). : This study compares for the first time, the performance of an app-based OSA screening tool with PSG in a non-symptomatic population sample. Easily accessible screening tools can play a role in complementing existing diagnostic possibilities, helping to increase the diagnosis rate, with a positive effect on cardiovascular health in a relevant population share.
阻塞性睡眠呼吸暂停（OSA）是一种常见的睡眠障碍，是心血管疾病的危险因素，给全球带来了巨大的社会经济和健康负担。由于OSA通常表现为非特异性症状或无症状，因此其诊断不足。本研究比较了基于智能手机的筛查方法与多导睡眠图（PSG）在一般无症状人群样本中的有效性。：从一般人群中招募成年受试者。排除报告有OSA相关症状提示OSA风险增加的受试者。纳入的受试者接受了II型PSG检查，并使用Snorefox M智能手机应用程序进行了平行呼吸音分析。将PSG评分与Snorefox M应用程序检测中度至重度OSA（呼吸暂停低通气指数≥15）的结果进行比较。：纳入150名受试者。所有受试者均完成了诊断夜检查，未发生不良事件。142名受试者获得了有效的分析结果。根据PSG结果，共有24%的受试者患有中度至重度OSA。与参考PSG（95%置信区间）相比，Snorefox M软件应用程序检测呼吸暂停低通气指数≥15的灵敏度为0.91（0.76，0.98），特异性为0.83，阳性预测值为0.63（0.48，0.77），阴性预测值为0.97（0.91，0.99）。：本研究首次比较了基于应用程序的OSA筛查工具与PSG在无症状人群样本中的性能。易于使用的筛查工具可以在补充现有诊断方法方面发挥作用，有助于提高诊断率，对相关人群的心血管健康产生积极影响。
