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新冠病毒病(COVID-19)神经和精神并发症的谱系、危险因素及结局:一项全英国横断面监测研究

Spectrum, risk factors and outcomes of neurological and psychiatric complications of COVID-19: a UK-wide cross-sectional surveillance study.

作者信息

Ross Russell Amy L, Hardwick Marc, Jeyanantham Athavan, White Laura M, Deb Saumitro, Burnside Girvan, Joy Harriet M, Smith Craig J, Pollak Thomas A, Nicholson Timothy R, Davies Nicholas W S, Manji Hadi, Easton Ava, Ray Stephen, Zandi Michael S, Coles Jonathan P, Menon David K, Varatharaj Aravinthan, McCausland Beth, Ellul Mark A, Thomas Naomi, Breen Gerome, Keddie Stephen, Lunn Michael P, Burn John P S, Quattrocchi Graziella, Dixon Luke, Rice Claire M, Pengas George, Al-Shahi Salman Rustam, Carson Alan, Joyce Eileen M, Turner Martin R, Benjamin Laura A, Solomon Tom, Kneen Rachel, Pett Sarah, Thomas Rhys H, Michael Benedict D, Galea Ian

机构信息

NIHR Southampton Clinical Research Facility and Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK.

Department of Neurology, Wessex Neurological Centre, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK.

出版信息

Brain Commun. 2021 Jul 22;3(3):fcab168. doi: 10.1093/braincomms/fcab168. eCollection 2021.

Abstract

SARS-CoV-2 is associated with new-onset neurological and psychiatric conditions. Detailed clinical data, including factors associated with recovery, are lacking, hampering prediction modelling and targeted therapeutic interventions. In a UK-wide cross-sectional surveillance study of adult hospitalized patients during the first COVID-19 wave, with multi-professional input from general and sub-specialty neurologists, psychiatrists, stroke physicians, and intensivists, we captured detailed data on demographics, risk factors, pre-COVID-19 Rockwood frailty score, comorbidities, neurological presentation and outcome. clinical case definitions were used, with cross-specialty independent adjudication for discrepant cases. Multivariable logistic regression was performed using demographic and clinical variables, to determine the factors associated with outcome. A total of 267 cases were included. Cerebrovascular events were most frequently reported (131, 49%), followed by other central disorders (95, 36%) including delirium (28, 11%), central inflammatory (25, 9%), psychiatric (25, 9%), and other encephalopathies (17, 7%), including a severe encephalopathy ( = 13) not meeting delirium criteria; and peripheral nerve disorders (41, 15%). Those with the severe encephalopathy, in comparison to delirium, were younger, had higher rates of admission to intensive care and a longer duration of ventilation. Compared to normative data during the equivalent time period prior to the pandemic, cases of stroke in association with COVID-19 were younger and had a greater number of conventional, modifiable cerebrovascular risk factors. Twenty-seven per cent of strokes occurred in patients <60 years. Relative to those >60 years old, the younger stroke patients presented with delayed onset from respiratory symptoms, higher rates of multi-vessel occlusion (31%) and systemic thrombotic events. Clinical outcomes varied between disease groups, with cerebrovascular disease conferring the worst prognosis, but this effect was less marked than the pre-morbid factors of older age and a higher pre-COVID-19 frailty score, and a high admission white cell count, which were independently associated with a poor outcome. In summary, this study describes the spectrum of neurological and psychiatric conditions associated with COVID-19. In addition, we identify a severe COVID-19 encephalopathy atypical for delirium, and a phenotype of COVID-19 associated stroke in younger adults with a tendency for multiple infarcts and systemic thromboses. These clinical data will be useful to inform mechanistic studies and stratification of patients in clinical trials.

摘要

严重急性呼吸综合征冠状病毒2(SARS-CoV-2)与新发神经和精神疾病有关。目前缺乏详细的临床数据,包括与康复相关的因素,这阻碍了预测模型的建立和针对性治疗干预措施的开展。在一项针对英国第一波新冠疫情期间成年住院患者的全英横断面监测研究中,我们纳入了普通神经科医生、专科神经科医生、精神科医生、中风科医生和重症监护医生的多专业意见,收集了有关人口统计学、风险因素、新冠疫情前的Rockwood衰弱评分、合并症、神经症状表现及转归的详细数据。采用临床病例定义,对存在分歧的病例进行跨专业独立判定。利用人口统计学和临床变量进行多变量逻辑回归分析,以确定与转归相关的因素。共纳入267例病例。最常报告的是脑血管事件(131例,49%),其次是其他中枢神经系统疾病(95例,36%),包括谵妄(28例,11%)、中枢炎症性疾病(25例,9%)、精神疾病(25例,9%)以及其他脑病(17例,7%),其中包括13例不符合谵妄标准的严重脑病;还有周围神经疾病(41例,15%)。与谵妄患者相比,严重脑病患者更年轻,入住重症监护病房的比例更高,机械通气时间更长。与疫情前同期的标准数据相比,与新冠疫情相关的中风病例更年轻,具有更多传统的、可改变的脑血管危险因素。27%的中风发生在60岁以下的患者中。相对于60岁以上的患者,年轻的中风患者出现呼吸道症状后发病延迟,多血管闭塞率(31%)和全身性血栓形成事件发生率更高。不同疾病组的临床转归各不相同,脑血管疾病的预后最差,但这种影响不如高龄、新冠疫情前更高的衰弱评分以及入院时白细胞计数高这些病前因素明显,这些因素独立地与不良转归相关。总之,本研究描述了与新冠疫情相关的神经和精神疾病谱。此外,我们识别出一种不符合谵妄特征的严重新冠脑病,以及一种在年轻成年人中出现的与新冠疫情相关的中风表型,其倾向于多发性梗死和全身性血栓形成。这些临床数据将有助于为机制研究和临床试验中的患者分层提供信息。

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