Ibrahim Abubaker, Cesari Matteo, Heidbreder Anna, Defrancesco Michaela, Brandauer Elisabeth, Seppi Klaus, Kiechl Stefan, Högl Birgit, Stefani Ambra
Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Division of Psychiatry I, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University of Innsbruck, Innsbruck, Austria.
Sleep. 2024 Mar 11;47(3). doi: 10.1093/sleep/zsad304.
Sleep is altered early in neurodegenerative diseases (NDDs) and may contribute to neurodegeneration. Long-term, large sample-size studies assessing NDDs association with objective sleep measures are scant. We aimed to investigate whether video-polysomnography (v-PSG)-based sleep features are associated with long-term NDDs incidence.
Retrospective cohort study of patients referred 2004-2007 to the Sleep Disorders Unit, Neurology, Medical University Innsbruck, Austria. All patients ≥ 18 years undergoing v-PSG and without NDDs at baseline or within 5 years were included. Main outcome was NDDs diagnosis ≥5 years after v-PSG.
Of 1454 patients assessed for eligibility, 999 (68.7%) met inclusion criteria (68.3% men; median age 54.9 (IQR 33.9-62.7) years). Seventy-five patients (7.5%) developed NDDs and 924 (92.5%) remained disease-free after a median of 12.8 (IQR 9.9-14.6) years. After adjusting for demographic, sleep, and clinical covariates, a one-percentage decrease in sleep efficiency, N3-, or rapid-eye-movement (REM)-sleep was associated with 1.9%, 6.5%, or 5.2% increased risk of incident NDDs (HR 1.019, 1.065, and 1.052). One-percentage decrease in wake within sleep period time represented a 2.2% reduced risk of incident NDDs (HR 0.978). Random-forest analysis identified wake, followed by N3 and REM-sleep percentages, as the most important feature associated with NDDs diagnosis. Additionally, multiple sleep features combination improved discrimination of incident NDDs compared to individual sleep stages (concordance-index 0.72).
These findings support contribution of sleep changes to NDDs pathogenesis and provide insights into the temporal window during which these differences are detectable, pointing to sleep as early NDDs marker and potential target of neuroprotective strategies.
睡眠在神经退行性疾病(NDDs)早期就会发生改变,且可能导致神经退行性变。长期、大样本量评估NDDs与客观睡眠指标关联的研究较少。我们旨在调查基于视频多导睡眠图(v-PSG)的睡眠特征是否与NDDs的长期发病率相关。
对2004年至2007年转诊至奥地利因斯布鲁克医科大学神经病学睡眠障碍科的患者进行回顾性队列研究。纳入所有年龄≥18岁且在基线时或5年内未患NDDs并接受v-PSG检查的患者。主要结局是v-PSG检查后≥5年被诊断为NDDs。
在评估符合条件的1454例患者中,999例(68.7%)符合纳入标准(男性占68.3%;中位年龄54.9(IQR 33.9 - 62.7)岁)。75例患者(7.5%)发生了NDDs,924例(92.5%)在中位12.8(IQR 9.9 - 14.6)年后仍未患病。在调整了人口统计学、睡眠和临床协变量后,睡眠效率、N3期或快速眼动(REM)睡眠每降低1个百分点,NDDs发病风险分别增加1.9%、6.5%或5.2%(HR 1.019、1.065和1.052)。睡眠期内觉醒时间每降低1个百分点,NDDs发病风险降低2.2%(HR 0.978)。随机森林分析确定觉醒,其次是N3期和REM睡眠百分比,是与NDDs诊断相关的最重要特征。此外,与单个睡眠阶段相比,多种睡眠特征组合改善了对NDDs发病的辨别能力(一致性指数为0.72)。
这些发现支持睡眠变化对NDDs发病机制的影响,并提供了有关可检测到这些差异的时间窗的见解,表明睡眠是NDDs的早期标志物以及神经保护策略的潜在靶点。