Multi-Night Home Assessment of Total Sleep Time Misperception in Obstructive Sleep Apnea with and Without Insomnia Symptoms.

IF 2.1 Q3 CLINICAL NEUROLOGY
Jasmin Kuhn, Laura R B Schiphorst, Bernice M Wulterkens, Jerryll Asin, Nanny Duis, Sebastiaan Overeem, Merel M van Gilst, Pedro Fonseca
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Abstract

Total sleep time (TST) misperception has been reported in obstructive sleep apnea (OSA). However, previous findings on predictors were inconsistent and predominantly relied on single-night polysomnography, which may alter patients' sleep perception. We leveraged advances in wearable sleep staging to investigate predictors of TST misperception in OSA over multiple nights in the home environment. The study included 141 patients with OSA, 75 without insomnia symptoms (OSA group), and 66 with insomnia symptoms (OSA-I group). Objective TST was measured using a previously validated wrist-worn photoplethysmography and accelerometry device. Self-reported TST was assessed using a digital sleep diary. TST misperception was quantified with the misperception index (MI), calculated as (objective - self-reported TST)/objective TST. MI values differed significantly between the OSA (median = -0.02, IQR = [-0.06, 0.02]) and the OSA-I group (0.05, [-0.02, 0.13], p < 0.001). Multilevel modeling revealed that the presence of insomnia symptoms (β = 0.070, p < 0.001) and lower daily reported sleep quality (β = -0.229, p < 0.001) were predictive of higher MI (TST underestimation), while a higher apnea-hypopnea index (AHI) was predictive of lower MI (TST overestimation; β = -0.001, p = 0.006). Thus, insomnia symptoms and AHI are associated with TST misperception in OSA patients, but in opposite directions. This association extends over multiple nights in the home environment.

据报道,阻塞性睡眠呼吸暂停(OSA)患者会对总睡眠时间(TST)产生误解。然而,之前关于预测因素的研究结果并不一致,而且主要依赖于单夜多导睡眠图,这可能会改变患者的睡眠感知。我们利用可穿戴睡眠分期技术的进步,研究了 OSA 患者在家庭环境中多夜 TST 错误感知的预测因素。这项研究包括 141 名 OSA 患者,其中 75 人无失眠症状(OSA 组),66 人有失眠症状(OSA-I 组)。客观 TST 使用之前经过验证的腕戴式光电血压计和加速度计测量。自我报告的 TST 采用数字睡眠日记进行评估。TST误感用误感指数(MI)进行量化,计算公式为(客观 TST - 自我报告 TST)/客观 TST。MI 值在 OSA 组(中位数 = -0.02,IQR = [-0.06,0.02])和 OSA-I 组(0.05,[-0.02,0.13],P <0.001)之间存在明显差异。多层次模型显示,存在失眠症状(β = 0.070,p < 0.001)和较低的每日报告睡眠质量(β = -0.229,p < 0.001)可预测较高的心肌缺血率(TST低估),而较高的呼吸暂停-低通气指数(AHI)可预测较低的心肌缺血率(TST高估;β = -0.001,p = 0.006)。因此,失眠症状和 AHI 与 OSA 患者的 TST 误测有关,但方向相反。这种关联在家庭环境中的多个夜晚都存在。
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来源期刊
Clocks & Sleep
Clocks & Sleep Multiple-
CiteScore
4.40
自引率
0.00%
发文量
0
审稿时长
7 weeks
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