Jiang Cong, Wang Ya, Tian Chunlan, Lin Zhi, Mu Yan
College of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Nursing Department, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Medicine (Baltimore). 2025 May 30;104(22):e42600. doi: 10.1097/MD.0000000000042600.
Delirium is a common neurological complication among hospitalized patients and has been closely linked to sleep disturbances. Dynamic changes in sleep rhythms are influenced by various sleep characteristics, which complicates the identification of the relationship between individual sleep features and the risk of delirium. Therefore, this study aimed to assess the potential causal relationships between distinct sleep characteristics and delirium, and to further investigate their independent effects. We obtained summary-level data on delirium and 10 distinct sleep characteristics. inverse-variance weighted (IVW) was employed as the primary analytical approach, supplemented by additional robust Mendelian randomization (MR) techniques. To ensure the robustness of the IVW results, heterogeneity tests and horizontal pleiotropy analyses were performed. Additionally, we employed a multivariable MR analysis to identify a direct causal relationship between the 2 conditions. The 2-sample MR analysis revealed that sleep duration (oversleepers) (OR = 5.561, 95% CI = 2.102-14.717, P < .001) and evening chronotype (OR = 1.879, 95% CI = 1.179-2.994, P = .008) were significantly associated with an increased risk of delirium. Conversely, getting up in the morning (OR = 0.544, 95% CI = 0.296-0.999, P = .049) and daytime dozing (OR = 0.134, 95% CI = 0.030-0.598, P = .008) appeared to be protective factors against delirium. The results of the reverse MR analysis showed that patients with delirium were more likely to exhibit a morning chronotype (OR = 0.998, 95% CI = 0.996-1.000, P < .020). Sensitivity analyses confirmed the robustness of the findings. Multivariable MR analysis further confirmed that evening chronotype remained causally associated with an elevated risk of delirium (OR = 3.860, 95% CI = 1.173-12.696, P = .026). Additionally, after adjusting for other sleep characteristics, daytime napping emerged as a significant risk factor for delirium (OR = 10.427, 95% CI = 1.246-87.287, P = .031). Various sleep characteristics exhibited both protective and detrimental effects on the risk of delirium. This study enhances our understanding of modifiable risk factors for delirium and offers new perspectives for its prevention strategies.
谵妄是住院患者常见的神经并发症,且与睡眠障碍密切相关。睡眠节律的动态变化受多种睡眠特征影响,这使得确定个体睡眠特征与谵妄风险之间的关系变得复杂。因此,本研究旨在评估不同睡眠特征与谵妄之间的潜在因果关系,并进一步探究它们的独立作用。我们获取了关于谵妄和10种不同睡眠特征的汇总数据。采用逆方差加权(IVW)作为主要分析方法,并辅以其他稳健的孟德尔随机化(MR)技术。为确保IVW结果的稳健性,进行了异质性检验和水平多效性分析。此外,我们采用多变量MR分析来确定这两种情况之间的直接因果关系。两样本MR分析显示,睡眠时间过长(OR = 5.561,95%CI = 2.102 - 14.717,P <.001)和夜晚型生物钟类型(OR = 1.879,95%CI = 1.179 - 2.994,P =.008)与谵妄风险增加显著相关。相反,早晨起床(OR = 0.544,95%CI = 0.296 - 0.999,P =.049)和白天打瞌睡(OR = 0.134,95%CI = 0.030 - 0.598,P =.008)似乎是预防谵妄的保护因素。反向MR分析结果显示,谵妄患者更可能表现为早晨型生物钟类型(OR = 0.998,95%CI = 0.996 - 1.000,P <.020)。敏感性分析证实了研究结果的稳健性。多变量MR分析进一步证实,夜晚型生物钟类型与谵妄风险升高仍存在因果关系(OR = 3.860,95%CI = 1.173 - 12.696,P =.026)。此外,在调整其他睡眠特征后,白天小睡成为谵妄的一个显著风险因素(OR = 10.427,95%CI = 1.246 - 87.287,P =.031)。多种睡眠特征对谵妄风险既有保护作用又有不利影响。本研究增进了我们对谵妄可改变风险因素的理解,并为其预防策略提供了新的视角。