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Real-world utilization of SARS-CoV-2 serological testing in RNA positive patients across the United States.
Rodriguez-Watson, Carla V; Sheils, Natalie E; 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; Lasky, Tamar; Jung, Mary; Lovell, Stephen L; Major, Jacqueline M; Kabelac, Carly; Knepper, Camille; Leonard, Sandy; 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; Crews, Bridgit O; Butte, Atul J; Allen, Jeff.
  • Rodriguez-Watson CV; Reagan-Udall Foundation for the FDA, Washington, District of Columbia, United States of America.
  • Sheils NE; OptumLabs, Minnetonka, Minnesota, United States of America.
  • Louder AM; Aetion, New York, New York, United States of America.
  • Eldridge EH; Health Catalyst, Salt Lake City, Utah, United States of America.
  • Lin ND; Health Catalyst, Salt Lake City, Utah, United States of America.
  • Pollock BD; Mayo Clinic, Rochester, Minnesota, United States of America.
  • Gatz JL; Regenstrief Institute, Indianapolis, Indiana, United States of America.
  • Grannis SJ; Regenstrief Institute, Indianapolis, Indiana, United States of America.
  • Vashisht R; Department of Informatics and Health Services Research, Indiana University School of Medicine, Indianapolis, Indiana, United States of America.
  • Ghauri K; Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, California, United States of America.
  • Valo G; Reagan-Udall Foundation for the FDA, Washington, District of Columbia, United States of America.
  • Chakravarty AG; Office of the Commissioner, U.S. Food and Drug Administration, Silver Spring, Maryland, United States of America.
  • Lasky T; Office of the Commissioner, U.S. Food and Drug Administration, Silver Spring, Maryland, United States of America.
  • Jung M; Office of the Commissioner, U.S. Food and Drug Administration, Silver Spring, Maryland, United States of America.
  • Lovell SL; Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland, United States of America.
  • Major JM; Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland, United States of America.
  • Kabelac C; Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland, United States of America.
  • Knepper C; Aetion, New York, New York, United States of America.
  • Leonard S; Mayo Clinic, Rochester, Minnesota, United States of America.
  • Embi PJ; HealthVerity, Philadelphia, Pennsylvania, United States of America.
  • Jenkinson WG; Regenstrief Institute, Indianapolis, Indiana, United States of America.
  • Klesh R; Department of Informatics and Health Services Research, Indiana University School of Medicine, Indianapolis, Indiana, United States of America.
  • Garner OB; Mayo Clinic, Rochester, Minnesota, United States of America.
  • Patel A; HealthVerity, Philadelphia, Pennsylvania, United States of America.
  • Dahm L; Department of Pathology and Laboratory Medicine, UCLA Medical Center, Los Angeles, California, United States of America.
  • Barin A; Center for Data-driven Insights and Innovation, University of California Health, Oakland, California, United States of America.
  • Cooper DM; Center for Data-driven Insights and Innovation, University of California Health, Oakland, California, United States of America.
  • Andriola T; Center for Data-driven Insights and Innovation, University of California Health, Oakland, California, United States of America.
  • Byington CL; Center for Data-driven Insights and Innovation, University of California Health, Oakland, California, United States of America.
  • Crews BO; Pediatric Exercise and Genomics Research Center, University of California Irvine School of Medicine, Irvine, California, United States of America.
  • Butte AJ; Center for Data-driven Insights and Innovation, University of California Health, Oakland, California, United States of America.
  • Allen J; Office of Data and Information Technology, University of California, Irvine, California, United States of America.
PLoS One ; 18(2): e0281365, 2023.
Article in English | MEDLINE | ID: covidwho-2244661
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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2023 Document Type: Article Affiliation country: Journal.pone.0281365

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2023 Document Type: Article Affiliation country: Journal.pone.0281365