@article {Zhange1159作者= {Zhizhong张和Mengmeng王Dipender吉尔和朱Wusheng新丰刘},title ={基因预测睡眠特征和缺血性中风后功能结果},体积={100}={11},页面= {e1159——e1165} = {2023}, doi = {10.1212 / WNL。出版商0000000000206745}= {Wolters Kluwer健康,公司代表美国神经病学学会},文摘={背景和目标对缺血性中风恢复睡眠特征可以影响的观察性研究。首页本研究的目的是探索基因预测睡眠之间的关系特征和卒中后功能与孟德尔随机化(先生)方法的结果。方法辅助变量失眠和睡眠时间从全基因组关联研究数据采用欧洲血统的人。缺血性中风后功能结果的汇总数据从缺血性中风的基因功能检索结果网络。反变量采用加权的方法为主要分析。替代先生的方法被用于敏感性分析。I2和Q值的统计数据被用来评价基因变异之间的异质性。结果在单变量分析中,遗传失眠责任与功能恶化是显著相关的结果(改良Rankin规模> = 3)在缺血性中风(优势比[或]= 1.30;95 \ % CI: 1.10 {\ textendash} 1.54, p = 0.002)。基因责任短睡眠,长时间睡眠,连续睡眠时间没有与卒中后功能相关的结果(所有p \ > 0.05)。敏感性分析没有调整中风的严重程度也支持,失眠是有原因地与贫穷相关功能结果(OR = 1.25; 95\% CI: 1.08{\textendash}1.44, p = 0.003). In the multivariable MR analysis adjusting for potentially confounding traits including body mass index, depression, type 2 diabetes, smoking, and alcohol consumption, the overall patterns between genetic liability to insomnia and poststroke outcome remained (all p \< 0.05).Discussion This MR study supports potential adverse effects of liability to insomnia on functional outcome after ischemic stroke. Interventions that address insomnia may offer a therapeutic target to improve recovery after ischemic stroke and warrant exploration in a clinical context.BMI=body mass index; GISCOME=Genetics of Ischemic Stroke Functional Outcome; IVW=inverse-variance weighted; MR=Mendelian randomization; mRS=modified Rankin Scale; NIHSS=NIH Stroke Scale; OR=odds ratio; SNPs=single nucleotide polymorphisms; T2D=type 2 diabetes; UKB=UK Biobank}, issn = {0028-3878}, URL = {//www.ez-admanager.com/content/100/11/e1159}, eprint = {//www.ez-admanager.com/content/100/11/e1159.full.pdf}, journal = {Neurology} }