Performance of 4 Automated SARS-CoV-2 Serology Assay Platforms in a Large Cohort Including Susceptible COVID-19–Negative and COVID-19–Positive Patients
Author(s) -
Matthew Ward,
Kristin Mullins,
Elizabeth Pickett,
VeRonika Merrill,
Mark A. Ruiz,
Heather Rebuck,
ShowHong Duh,
Robert H. Christenson
Publication year - 2021
Publication title -
the journal of applied laboratory medicine
Language(s) - English
Resource type - Journals
eISSN - 2576-9456
pISSN - 2475-7241
DOI - 10.1093/jalm/jfab014
Subject(s) - serology , covid-19 , medicine , population , cohort , virology , immunology , antibody , disease , infectious disease (medical specialty) , environmental health
Background Anti–SARS-CoV-2 serological responses may have a vital role in controlling the spread of the disease. However, the comparative performance of automated serological assays has not been determined in susceptible patients with significant comorbidities. Methods In this study, we used large numbers of samples from patients who were negative (n = 2030) or positive (n = 112) for COVID-19 to compare the performance of 4 serological assay platforms: Siemens Healthineers Atellica IM Analyzer, Siemens Healthineers Dimension EXL Systems, Abbott ARCHITECT, and Roche cobas. Results All 4 serology assay platforms exhibited comparable negative percentage of agreement with negative COVID-19 status ranging from 99.2% to 99.7% and positive percentage of agreement from 84.8% to 87.5% with positive real-time reverse transcriptase PCR results. Of the 2142 total samples, only 38 samples (1.8%) yielded discordant results on one or more platforms. However, only 1.1% (23/2030) of results from the COVID-19–negative cohort were discordant. whereas discordance was 10-fold higher for the COVID-19–positive cohort, at 11.3% (15/112). Of the total 38 discordant results, 34 were discordant on only one platform. Conclusions Serology assay performance was comparable across the 4 platforms assessed in a large population of patients who were COVID-19 negative with relevant comorbidities. The pattern of discordance shows that samples were discordant on a single assay platform, and the discordance rate was 10-fold higher in the population that was COVID-19 positive.
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