Fossland Vigdis, Toften Ståle, Hals Ingrid Kathrin, Haugdahl Hege S, Thu Ole Kristian, Sorger Hanne
Department of Medicine, Nord-Trøndelag Hospital Trust, Levanger Hospital, Levanger, Norway.
Department of Research and Data Science, Vitalthings AS, Trondheim, Norway.
PLoS One. 2025 Mar 19;20(3):e0319606. doi: 10.1371/journal.pone.0319606. eCollection 2025.
The purpose of this pilot study was to investigate if sleep classification data from a non-contact sleep monitor placed in the patient's bedroom at home were associated with obstructive sleep apnea (OSA) severity at the time of primary investigation. Secondly, we aimed to study the effect of established continuous positive airway pressure (CPAP) therapy on objective sleep classification measurements.
We performed a prospective single center study at a medium size hospital. Adult patients referred with symptoms that could indicate OSA underwent standard respiratory polygraphy (RPG) registration, sleep classification measured with non-contact radar technology (Somnofy, Vitalthings AS, Norway), and answered the Epworth Sleepiness Scale (ESS) questionnaire. After 12-20 weeks, ESS and non-contact registration was repeated in patients diagnosed with OSA who had eslished effective CPAP therapy.
A total of 47 patients (62% men, mean age 51 years) were diagnosed with OSA based on the respiratory event index (REI). OSA severity correlated negatively with total sleep time (p < 0.003), fraction of deep and REM sleep (p < 0.000 and p < 0.036, respectively), and positively for sleep fragmentations (p < 0.007), recorded by the Somnofy. After CPAP therapy, patients slept longer in total (p < 0.012), with more deep sleep (p < 0.001) and less sleep fragmentation (p < 0.009). Although OSA severity correlated with sleep classification data, there was no association with self-reported symptoms (ESS) at baseline or during CPAP therapy.
We demonstrated that non-contact sleep measurements in a home environment seem to correlate with OSA severity and could be a valuable supplement to RPG and ESS in OSA diagnosis and follow up on therapy.
本初步研究的目的是调查在家中患者卧室放置的非接触式睡眠监测仪的睡眠分类数据是否与初次检查时的阻塞性睡眠呼吸暂停（OSA）严重程度相关。其次，我们旨在研究既定的持续气道正压通气（CPAP）治疗对客观睡眠分类测量的影响。
我们在一家中型医院进行了一项前瞻性单中心研究。有症状提示可能患有OSA的成年患者接受了标准呼吸多导睡眠图（RPG）记录、使用非接触式雷达技术（Somnofy，Vitalthings AS，挪威）测量睡眠分类，并回答了爱泼华嗜睡量表（ESS）问卷。12至20周后，对已确诊患有OSA且已确立有效CPAP治疗的患者重复进行ESS和非接触式记录。
基于呼吸事件指数（REI），共有47例患者（62%为男性，平均年龄51岁）被诊断为OSA。OSA严重程度与总睡眠时间呈负相关（p < 0.003），与深度睡眠和快速眼动睡眠比例分别呈负相关（p < 0.000和p < 0.036），与睡眠碎片化呈正相关（p < 0.007），这些数据由Somnofy记录。CPAP治疗后，患者的总睡眠时间更长（p < 0.012），深度睡眠更多（p < 0.001），睡眠碎片化更少（p < 0.009）。尽管OSA严重程度与睡眠分类数据相关，但在基线或CPAP治疗期间与自我报告症状（ESS）无关联。
我们证明，家庭环境中的非接触式睡眠测量似乎与OSA严重程度相关，并且在OSA诊断和治疗随访中可能是RPG和ESS的有价值补充。
