A Comparison of Five SARS-CoV-2 Molecular Assays With Clinical Correlations

Author:

Procop Gary W1,Brock Jay E1,Reineks Edmunds Z1,Shrestha Nabin K2,Demkowicz Ryan1,Cook Eleanor1,Ababneh Emad1,Harrington Susan M1

Affiliation:

1. Pathology and Laboratory Medicine Institute, Cleveland, OH

2. Department of Infectious Diseases, Cleveland Clinic, Cleveland, OH

Abstract

Abstract Objectives Comparative assessments of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) molecular assays that have been operationalized through the US Food and Drug Administration’s Emergency Use Authorization process are warranted to assess real-world performance. Characteristics such as sensitivity, specificity, and false-negative rate are important to inform clinical use. Methods We compared five SARS-CoV-2 assays using nasopharyngeal and nasal swab specimens submitted in transport media; we enriched this cohort for positive specimens, since we were particularly interested in the sensitivity and false-negative rate. Performance of each test was compared with a composite standard. Results The sensitivities and false-negative rates of the 239 specimens that met inclusion criteria were, respectively, as follows: Centers for Disease Control and Prevention 2019 nCoV Real-Time RT-PCR Diagnostic Panel, 100% and 0%; TIB MOLBIOL/Roche z 480 Assay, 96.5% and 3.5%; Xpert Xpress SARS-CoV-2 (Cepheid), 97.6% and 2.4%; Simplexa COVID-19 Direct Kit (DiaSorin), 88.1% and 11.9%; and ID Now COVID-19 (Abbott), 83.3% and 16.7%. Conclusions The assays that included a nucleic acid extraction followed by reverse transcription polymerase chain reaction were more sensitive than assays that lacked a full extraction. Most false negatives were seen in patients with low viral loads, as extrapolated from crossing threshold values.

Publisher

Oxford University Press (OUP)

Subject

General Medicine

Reference20 articles.

1. US CDC real-time reverse transcription PCR panel for detection of severe acute respiratory syndrome coronavirus 2;Lu;Emerg Infect Dis.,2020

2. Distribution of transmission potential during non-severe COVID-19 illness [published online June 29, 2020];Shrestha;Clin Infect Dis.

3. Imputation with the R Package VIM;Kowarik;J Stat Softw.,2016

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