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睡眠特征与谵妄之间的因果关系:一项双向双样本孟德尔随机化研究
Authors Liu H, Zhang Z, He Y, Ding L, Wu T, Wang Y, Ma W
Received 13 September 2024
Accepted for publication 7 December 2024
Published 21 December 2024 Volume 2024:16 Pages 2171—2181
DOI https://doi.org/10.2147/NSS.S491216
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Valentina Alfonsi
Hao Liu,1,2,* Zhengze Zhang,1,2,* Yuewen He,1,2 Longfei Ding,1,2 Tong Wu,1,2 Yong Wang,2,3 Wuhua Ma2
1Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People’s Republic of China; 2Department of Anesthesiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People’s Republic of China; 3State Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Wuhua Ma; Yong Wang, Department of Anesthesiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, 16 Jichang Road, Guangzhou, Guangdong, 510405, People’s Republic of China, Tel +86 13318860680 ; +86 15920382796, Email tuesdaymorninggz@126.com; wangyong@gzucm.edu.cn
Purpose: Numerous studies have identified a correlation between sleep and delirium; however, the causal relationship remains ambiguous. This bidirectional two-sample Mendelian randomization (MR) study was conducted to examine the possible causal relationships between sleep traits and delirium.
Patients and Methods: Utilizing genome-wide association studies (GWAS), we identified ten sleep traits: chronotype, sleep duration, short sleep duration, long sleep duration, daytime napping, daytime sleepiness, insomnia, number of sleep episodes (NSE), sleep efficiency, and rapid eye movement sleep behavior disorder (RBD). In this MR study, genetic variants independently associated with exposures were selected as instrumental variables (IVs). To establish causal inferences, three regression models were employed—inverse variance weighted (IVW), MR Egger, and weighted median (WM) —and conducted sensitivity analyses to assess the robustness of our findings.
Results: Our results suggest no significant causal association between the ten sleep traits and the risk of delirium. The reverse MR analysis revealed that delirium is associated with an increased propensity for morning chronotype [ORIVW, 1.025; 95% CI, 1.012– 1.036; p = 1.50E-05; adjusted p values (padjusted)= 1.35E-04] and a decreased risk of long sleep duration [ORIVW, 0.996; 95% CI, 0.993– 0.999; p = 0.013; padjusted= 0.059]. However, no robust evidence currently exists to substantiate a causal relationship between delirium and other sleep traits.
Conclusion: Our bidirectional, two-sample MR analysis study did not provide definitive evidence that sleep traits may augment the susceptibility to delirium. However, the reverse MR results indicate that delirium may predispose patients to an earlier sleep-wake cycle. Additional large-scale investigations are necessary to examine the bidirectional causality between delirium and sleep traits.
Keywords: sleep traits, delirium, Mendelian randomization analysis, genome-wide association studies