Population-based estimates of post-acute sequelae of SARS-CoV-2 infection (PASC) prevalence and characteristics

J. Hirschtick, Andrea R. Titus, Elizabeth Slocum, Laura E. Power, R. Hirschtick, M. Elliott, P. McKane, N. Fleischer
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引用次数: 26

Abstract

Importance: Emerging evidence suggests many people have persistent symptoms after acute COVID-19 illness. Objective: To estimate the prevalence and correlates of persistent COVID-19 symptoms 30 and 60 days post onset using a population-based sample. Design & Setting: The Michigan COVID-19 Recovery Surveillance Study is a population-based cross-sectional survey of a probability sample of adults with confirmed COVID-19 in the Michigan Disease Surveillance System (MDSS). Respondents completed a survey online or via telephone in English, Spanish, or Arabic between June - December 2020. Participants: Living non-institutionalized adults (aged 18+) in MDSS with COVID-19 onset through mid-April 2020 were eligible for selection (n=28,000). Among 2,000 adults selected, 629 completed the survey. We excluded 79 cases during data collection due to ineligibility, 6 asymptomatic cases, 7 proxy reports, and 24 cases missing outcome data, resulting in a sample size of 593. The sample was predominantly female (56.1%), aged 45 and older (68.2%), and Non-Hispanic White (46.3%) or Black (34.8%). Exposures: Demographic (age, sex, race/ethnicity, and annual household income) and clinical factors (smoking status, body mass index, diagnosed comorbidities, and illness severity). Main outcomes and Measures: We defined post-acute sequelae of SARS-CoV-2 infection (PASC) as persistent symptoms 30+ days (30-day COVID-19) or 60+ days (60-day COVID-19) post COVID-19 onset. Results: 30- and 60-day COVID-19 were highly prevalent (52.5% and 35.0%), even among respondents reporting mild symptoms (29.2% and 24.5%) and non-hospitalized respondents (43.7% and 26.9%, respectively). Low income was statistically significantly associated with 30-day COVID-19 in adjusted models. Respondents reporting very severe (vs. mild) symptoms had 2.25 times higher prevalence of 30-day COVID-19 (Adjusted Prevalence Ratio [aPR] 2.25, 95% CI 1.46-3.46) and 1.71 times higher prevalence of 60-day COVID-19 (aPR 1.71, 95% 1.02-2.88). Hospitalized (vs. non-hospitalized) respondents had about 40% higher prevalence of both 30-day (aPR 1.37, 95% CI 1.12-1.69) and 60-day COVID-19 (aPR 1.40, 95% CI 1.02-1.93). Conclusions and Relevance: PASC is highly prevalent among cases with severe initial symptoms, and, to a lesser extent, cases with mild and moderate symptoms.
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基于人群的SARS-CoV-2感染急性后后遗症(PASC)患病率和特征估计
重要性:新出现的证据表明,许多人在急性COVID-19疾病后会出现持续症状。目的:通过基于人群的样本估计发病后30天和60天持续COVID-19症状的患病率及其相关因素。设计与环境:密歇根州COVID-19康复监测研究是一项基于人群的横断面调查,调查对象是密歇根州疾病监测系统(MDSS)中确诊COVID-19的成人概率样本。受访者在2020年6月至12月期间以英语、西班牙语或阿拉伯语在线或通过电话完成了调查。参与者:截至2020年4月中旬,MDSS中患有COVID-19发病的生活非机构成年人(18岁以上)符合入选条件(n=28,000)。在2000名被选中的成年人中,629人完成了调查。我们在数据收集过程中排除了79例不合格病例、6例无症状病例、7例代理报告和24例缺少结局数据,样本量为593例。样本主要为女性(56.1%),45岁及以上(68.2%),非西班牙裔白人(46.3%)或黑人(34.8%)。暴露:人口统计学因素(年龄、性别、种族/民族和家庭年收入)和临床因素(吸烟状况、体重指数、诊断出的合并症和疾病严重程度)。主要结局和指标:我们将SARS-CoV-2感染急性后后遗症(PASC)定义为COVID-19发病后30天以上(30天)或60天以上(60天)的持续症状。结果:30天和60天的COVID-19非常普遍(52.5%和35.0%),即使在报告轻微症状的受访者(29.2%和24.5%)和未住院的受访者(分别为43.7%和26.9%)中也是如此。在调整后的模型中,低收入与30天COVID-19有统计学显著相关。报告非常严重(与轻度)症状的受访者30天COVID-19患病率高2.25倍(调整患病率比[aPR] 2.25, 95% CI 1.46-3.46), 60天COVID-19患病率高1.71倍(aPR 1.71, 95% 1.02-2.88)。住院(与非住院)的受访者在30天(aPR 1.37, 95% CI 1.12-1.69)和60天(aPR 1.40, 95% CI 1.02-1.93)的COVID-19患病率均高出约40%。结论和相关性:PASC在初始症状严重的病例中非常普遍,在轻度和中度症状的病例中患病率较低。
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