Real-world utilization of SARS-CoV-2 serological testing in RNA positive patients across the United States

Author:

Rodriguez-Watson Carla V.,Sheils Natalie E.ORCID,Louder Anthony M.,Eldridge Elizabeth H.,Lin Nancy D.,Pollock Benjamin D.,Gatz Jennifer L.,Grannis Shaun J.,Vashisht Rohit,Ghauri Kanwal,Valo Gina,Chakravarty Aloka G.ORCID,Lasky Tamar,Jung Mary,Lovell Stephen L.,Major Jacqueline M.ORCID,Kabelac Carly,Knepper Camille,Leonard SandyORCID,Embi Peter J.,Jenkinson William G.,Klesh Reyna,Garner Omai B.,Patel Ayan,Dahm Lisa,Barin Aiden,Cooper Dan M.,Andriola Tom,Byington Carrie L.ORCID,Crews Bridgit O.,Butte Atul J.,Allen JeffORCID

Abstract

Background 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. Methods 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. Results 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. Conclusion 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.

Funder

Yale University-Mayo Clinic Center of Excellence in Regulatory Science and Innovation

U.S. Food and Drug Administration

Rockefeller Foundation

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference42 articles.

1. The COVID‐19 epidemic;TP Velavan;Tropical medicine & international health,2020

2. Infectious Diseases Society of America guidelines on the diagnosis of COVID-19;KE Hanson;Clinical infectious diseases,2020

3. Serodiagnostics for Severe Acute Respiratory Syndrome–Related Coronavirus 2: A Narrative Review;MP Cheng;Annals of internal medicine,2020

4. Evaluation of nine commercial SARS-CoV-2 immunoassays;R Lassaunière;MedRxiv,2020

5. Whitman JD, Hiatt J, Mowery CT, Shy BR, Yu R, Yamamoto TN, et al. Test performance evaluation of SARS-CoV-2 serological assays. MedRxiv. 2020.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3