在 "Omicron 波 "期间被感染一年后仍持续存在的慢性后 COVID 神经精神症状 (PCNPS)

Steven Wai Ho Chau, Timothy Mitchell Chue, Tsz Ching Lam, Yee Lok Lai, Rachel Ngan Yin Chan, Paul WC Wong, Shirley Xin Li, Yaping Liu, Joey Wing Yan Chan, Paul Kay-sheung Chan, Christopher Koon-Chi Lai, Thomas WH Leung, Yun Kwok Wing
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引用次数: 0

摘要

目前还没有充分研究过慢性感染后神经精神症状(PCNPS)的异质性,尤其是在感染 Omicron 株之后。我们预先注册的假设是:1.在 "欧米克隆浪潮 "中感染 SARS-CoV-2 一年多的患者的慢性 PCNPS 与感染欧米克隆前菌株的患者的症状表现出相似的聚集模式;2.这些慢性 PCNPS 与以下因素有关:a) 临床风险因素,如急性感染的严重程度;b) 社会经济状况,如贫困程度;以及 c) 感染前的疫苗接种状况。我们使用基于应用程序的问卷和认知任务对 1205 名受试者进行了评估。通过对这一人群中的慢性 PCNPS 进行局部网络分析,我们发现了两个主要症状群(认知抱怨-疲劳症状群和焦虑-抑郁症状群)和一个轻微的头痛-头晕症状群,这与我们的前奥美康人群相似。症状较多(4 个或以上)的受试者可进一步分为两种不同的表型:以认知主诉-疲劳为主的表型(CF)和症状跨越多个症状群的表型(AD-CF)。多元逻辑回归显示,感染前的贫困程度可预测这两种表型(CF 和 AD-CF 的调整后 p 值分别为 0.025 和 0.0054)。急性 COVID 的严重程度(调整后 p 值 = 0.023)和感染前存在的病症数量只能预测 CF 表型(调整后 p 值 = 0.003),而过去的自杀想法则能预测 AD-CF 表型(调整后 p 值 <0.001)。感染前的疫苗接种情况不能预测这两种表型。我们的研究结果表明,我们应该认识到慢性 PCNPS 的异质性,而全面的生物-心理-社会方法对于理解它们至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chronic post-COVID neuropsychiatric symptoms (PCNPS) persisting beyond one year from being infected during the ‘Omicron wave’
The heterogeneity of chronic post-COVID neuropsychiatric symptoms (PCNPS), especially after infection by the Omicron strain, has not been adequately explored. Our pre-registered hypotheses are 1. chronic PCNPS in patients infected with SARS-CoV-2 over a year ago during the ‘Omicron wave’ showed a similar clustering pattern with symptoms in patients infected with pre-Omicron strain; 2. these chronic PCNPS are associated with a) clinical risk factors, such as, severity of the acute infection; b) socioeconomic status e.g., level of deprivation; and c) pre-infection vaccination status. We assessed 1205 subjects using app-based questionnaires and cognitive tasks. Partial network analysis on chronic PCNPS in this cohort produced two major symptom clusters (cognitive complaint-fatigue cluster and anxiety-depression symptoms cluster) and a minor headache-dizziness symptoms cluster, like our pre-Omicron cohort. Subjects with high number of symptoms (4 or more) can be further grouped into two distinct phenotypes: a cognitive complaint-fatigue predominant phenotype (CF) and another with symptoms across multiple clusters (AD-CF). Multiple logistic regression showed that both phenotypes are predicted by the level of deprivation before infection (adjusted p-value for CF and AD-CF = 0.025 and 0.0054 respectively). While the severity of acute COVID (adjusted p-value = 0.023) and the number of pre-existing medical conditions predict only the CF phenotypes (adjusted p-value = 0.003), past suicidal ideas predict the AD-CF phenotype (adjusted p-value < 0.001). Pre-infection vaccination status did not predict either phenotype. Our finding suggests that we should recognize the heterogeneity under the umbrella of chronic PCNPS, and a holistic bio-psycho-social approach is essential in understanding them.
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