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一种全州基于人口的方法来检查密歇根州长期COVID症状流行率和预测因素

Jana L Hirschtick¹, Yanmei Xie¹, Elizabeth Slocum¹

¹Department of Epidemiology, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA.

Preventive medicine

|November 9, 2023

概括

长期COVID症状各不相同,神经精神问题如脑雾是最常见的. 预测者在症状集群之间有所不同,这表明一些长期COVID条件可能是不同的,需要进一步调查.

科学领域:

公共卫生公共卫生
流行病学流行病学
传染性疾病传染性疾病

背景情况:

广泛的定义和非代表性样本限制了对长期COVID流行率和概括性的理解.
基于人口的研究对于准确的长期COVID (后COVID-19状态) 估计至关重要.

研究的目的:

用全州基于人口的概率样本来调查长期COVID症状及其预测因素.
为了识别症状集群的变化和长期COVID的相关风险因素.

主要方法:

调查了2533名已确认感染SARS-CoV-2的成年人,来自全州监测系统 (2020年6月至2021年7月).
利用修改后的Poisson回归来分析八个长期COVID症状集群 (症状持续≥90天) 的社会人口统计,行为和临床预测因素.

主要成果:

神经精神症状 (例如脑雾) 是最常见的 (23.7%),其次是系统性 (17.1%) 和肌肉骨 (11.4%) 症状.
女性性别,先前存在的心理状况和ICU入院预测了大多数症状集群.
年龄和先前存在的疾病在症状集群中显示出不同的关联;心血管,皮肤和神经精神疾病症状与先前存在的疾病的联系较少.

结论:

长期COVID症状集群的预测因素不均,特别是在年龄和先前存在的疾病方面.
心血管,神经精神和皮肤病症状需要进一步调查,因为它们可能是不同的长期COVID表现.

关键词:

在 COVID-19 疫情中,流行病学流行病学帕斯克 (PASC) 是一个过去.在COVID后的病情.概率调查是一个概率调查.这就是SARS-CoV-2病毒.

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