Newhouse Caitlin N, Saleh Tawny, Fuller Trevon, Kerin Tara, Cambou Mary C, Swayze Emma J, Le Catherine, Seo Wonjae, Trejo Marisol, Garner Omai B, Chandrasekaran Sukantha, Nielsen-Saines Karin
Department of Medicine, Preventive Medicine Program, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, United States.
Department of Pediatrics, Division of Pediatric Infectious Diseases, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, United States.
Front Pediatr. 2021 Nov 17;9:752247. doi: 10.3389/fped.2021.752247. eCollection 2021.
To understand which social, epidemiologic, and clinical risk factors are associated with SARS-CoV-2 infection in youth accessing care in a large, urban academic institution. We conducted a prospective cohort study with case-control analyses in youth who received testing for SARS-CoV-2 at our academic institution in Los Angeles during the first wave of the COVID-19 pandemic (March-September 2020). A total of 27,976 SARS-CoV-2 assays among 11,922 youth aged 0-24 years were performed, including 475 youth with positive SARS-CoV-2 results. Positivity rate was higher among older, African American, and Hispanic/Latinx youth. Cases were more likely to be from non-English-speaking households and have safety-net insurance. Zip codes with higher proportion of Hispanic/Latinx and residents living under the poverty line were associated with increased SARS-CoV-2 cases. Youth were more likely to have positive results if tested for exposure (OR 21.5, 95% CI 14.6-32.1) or recent travel (OR 1.5, 95% CI 1.0-2.3). Students were less likely to have positive results than essential worker youth (OR 0.5, 95% CI 0.3-0.8). Patterns of symptom presentation varied significantly by age group; number of symptoms correlated significantly with age in SARS-CoV-2 cases ( = 0.030, < 0.001). SARS-CoV-2 viral load did not vary by symptom severity, but asymptomatic youth had lower median viral load than those with symptoms (21.5 vs. 26.7, = 0.009). Socioeconomic factors are important drivers of SARS-CoV-2 infection in youth. Presence of symptoms, exposure, and travel can be used to drive testing in older youth. Policies for school reopening and infection prevention should be tailored differently for elementary schools and universities.
为了解在一家大型城市学术机构接受治疗的青少年中,哪些社会、流行病学和临床风险因素与新冠病毒感染相关。我们在新冠疫情第一波期间(2020年3月至9月),对在洛杉矶我们学术机构接受新冠病毒检测的青少年进行了一项病例对照分析的前瞻性队列研究。对11922名0至24岁的青少年共进行了27976次新冠病毒检测,其中475名青少年新冠病毒检测结果呈阳性。年龄较大的青少年、非裔美国青少年以及西班牙裔/拉丁裔青少年的阳性率更高。病例更有可能来自非英语家庭且拥有安全网保险。西班牙裔/拉丁裔比例较高以及居民生活在贫困线以下的邮政编码区域与新冠病毒病例增加有关。如果因接触(比值比21.5,95%置信区间14.6 - 32.1)或近期旅行(比值比1.5,95%置信区间1.0 - 2.3)接受检测,青少年更有可能检测结果呈阳性。学生检测结果呈阳性的可能性低于一线工作者青少年(比值比0.5,95%置信区间0.3 - 0.8)。症状表现模式因年龄组而异;在新冠病毒病例中,症状数量与年龄显著相关( = 0.030, < 0.001)。新冠病毒载量不因症状严重程度而有所不同,但无症状青少年的病毒载量中位数低于有症状的青少年(21.5对26.7, = 0.009)。社会经济因素是青少年新冠病毒感染的重要驱动因素。症状、接触和旅行情况可用于推动对年龄较大青少年的检测。学校重新开学和感染预防政策应针对小学和大学进行不同的调整。