Reagan-Udall Foundation for the FDA, Washington, District of Columbia, United States of America.
OptumLabs, Minnetonka, Minnesota, United States of America.
PLoS One. 2023 Feb 10;18(2):e0281365. doi: 10.1371/journal.pone.0281365. eCollection 2023.
As diagnostic tests for COVID-19 were broadly deployed under Emergency Use Authorization, there emerged a need to understand the real-world utilization and performance of serological testing across the United States.
Six health systems contributed electronic health records and/or claims data, jointly developed a master protocol, and used it to execute the analysis in parallel. We used descriptive statistics to examine demographic, clinical, and geographic characteristics of serology testing among patients with RNA positive for SARS-CoV-2.
Across datasets, we observed 930,669 individuals with positive RNA for SARS-CoV-2. Of these, 35,806 (4%) were serotested within 90 days; 15% of which occurred <14 days from the RNA positive test. The proportion of people with a history of cardiovascular disease, obesity, chronic lung, or kidney disease; or presenting with shortness of breath or pneumonia appeared higher among those serotested compared to those who were not. Even in a population of people with active infection, race/ethnicity data were largely missing (>30%) in some datasets-limiting our ability to examine differences in serological testing by race. In datasets where race/ethnicity information was available, we observed a greater distribution of White individuals among those serotested; however, the time between RNA and serology tests appeared shorter in Black compared to White individuals. Test manufacturer data was available in half of the datasets contributing to the analysis.
Our results inform the underlying context of serotesting during the first year of the COVID-19 pandemic and differences observed between claims and EHR data sources-a critical first step to understanding the real-world accuracy of serological tests. Incomplete reporting of race/ethnicity data and a limited ability to link test manufacturer data, lab results, and clinical data challenge the ability to assess the real-world performance of SARS-CoV-2 tests in different contexts and the overall U.S. response to current and future disease pandemics.
随着 COVID-19 的诊断检测在紧急使用授权下广泛部署,人们需要了解美国各地血清学检测的实际应用和性能。
六个医疗系统提供了电子健康记录和/或索赔数据,共同制定了一个主方案,并使用该方案并行执行分析。我们使用描述性统计方法来检查 SARS-CoV-2 RNA 阳性患者的血清学检测的人口统计学、临床和地理特征。
在所有数据集,我们观察到 930669 例 SARS-CoV-2 RNA 阳性患者。其中,35806 例(4%)在 90 天内进行了血清学检测;其中 15%发生在 RNA 阳性检测后<14 天。与未进行血清学检测的患者相比,有心血管疾病、肥胖症、慢性肺病或肾病病史或出现呼吸急促或肺炎的患者比例更高。即使在有活动性感染的人群中,一些数据集的种族/族裔数据(>30%)也基本缺失,限制了我们通过种族来检查血清学检测差异的能力。在提供种族/族裔信息的数据集,我们观察到进行血清学检测的患者中白人比例更高;然而,与白人相比,黑人进行 RNA 和血清学检测之间的时间间隔更短。在参与分析的数据集,有一半提供了检测制造商的数据。
我们的研究结果为 COVID-19 大流行第一年的血清学检测提供了背景信息,并揭示了索赔和电子健康记录数据来源之间的差异,这是了解血清学检测在不同情况下的真实准确性的关键第一步。种族/族裔数据报告不完整,以及有限的能力将检测制造商数据、实验室结果和临床数据联系起来,这使得评估不同情况下 SARS-CoV-2 检测的真实性能以及美国对当前和未来疾病大流行的整体应对能力受到挑战。