McMahon Marcus, Goldin Jeremy, Kealy Elizabeth Susan, Wicks Darrel Joseph, Zilberg Eugene, Freeman Warwick, Aliahmad Behzad
Department of Respiratory and Sleep Medicine, Epworth Hospital, Richmond, Victoria, Australia.
Department of Respiratory and Sleep Medicine, Austin Health, Heidelberg, Victoria, Australia.
Sleep Biol Rhythms. 2024 Nov 27;23(2):145-152. doi: 10.1007/s41105-024-00559-4. eCollection 2025 Apr.
This study evaluates the diagnostic accuracy of Somfit against polysomnography (PSG) for detecting obstructive sleep apnoea (OSA). Somfit is a wearable home-sleep monitoring device attached to the forehead, combining pulse arterial tonometry, oximetry, and actigraphy with sleep staging, arousals, and total sleep time (TST) derived from frontal neurological signals. Ninety-two participants suspected of having OSA were assessed using Somfit and simultaneous overnight PSG recordings at three Australian sites. Each PSG study was manually scored by three independent scorers. The reported statistics include standard measures of agreement between Somfit's TST, Oxygen-Saturation Index (ODI), Apnoea-Hypopnea Index (AHI), and the average of those metrics from the three PSG scorers. The overall inter-scorer agreement was 76% (kappa = 0.772). TST, ODI, and AHI from Somfit were highly correlated with similar metrics from PSG (all r > 0.84, < 0.001). Sensitivity, specificity, and accuracy were 90.5%, 75.0%, and 89.1% respectively, with a diagnostic odds ratio (DOR) of 28.5 for AHI ≥ 5. For AHI ≥ 15, sensitivity, specificity, and accuracy were 78.0%, 73.8%, and 76.1%, respectively, with a DOR of 9.99. For AHI ≥ 30, sensitivity, specificity, accuracy, and DOR were 72.4%, 90.5%, 84.8%, and 24.9, respectively. The area under the curve (AUC) at different PSG AHI cut-offs ranged between 0.86 and 0.93. Coupled with oximetry and EEG-based derivation of TST, Somfit's performance is comparable to PSG in detecting OSA severity.
本研究评估了Somfit相对于多导睡眠图(PSG)检测阻塞性睡眠呼吸暂停(OSA)的诊断准确性。Somfit是一种可穿戴的家庭睡眠监测设备,附着在前额,将脉搏动脉张力测量法、血氧测定法和活动记录仪与从额叶神经信号得出的睡眠分期、觉醒和总睡眠时间(TST)相结合。在澳大利亚的三个地点,对92名疑似患有OSA的参与者使用Somfit进行了评估,并同时进行了夜间PSG记录。每项PSG研究均由三名独立评分员进行人工评分。报告的统计数据包括Somfit的TST、氧饱和度指数(ODI)、呼吸暂停低通气指数(AHI)与三名PSG评分员的这些指标平均值之间的标准一致性测量。评分员之间的总体一致性为76%(kappa = 0.772)。Somfit的TST、ODI和AHI与PSG的类似指标高度相关(所有r > 0.84,P < 0.001)。对于AHI≥5,敏感性、特异性和准确性分别为90.5%、75.0%和89.1%,诊断比值比(DOR)为28.5。对于AHI≥15,敏感性、特异性和准确性分别为78.0%、73.8%和76.1%,DOR为9.99。对于AHI≥30,敏感性、特异性、准确性和DOR分别为72.4%、90.5%、84.8%和24.9。在不同的PSG AHI临界值下,曲线下面积(AUC)在0.86至0.93之间。结合血氧测定法和基于脑电图的TST推导,Somfit在检测OSA严重程度方面的表现与PSG相当。