Comparison of 6 SARS-CoV-2 Molecular Methods and Correlation With the Cycle Threshold Distribution in Clinical Specimens

Saravanan Raju, Neil W. Anderson, Elizabeth Robinson, Crystal Squires, Meghan A. Wallace, Ray Zhang, Carey Ann D. Burnham, Bijal A. Parikh

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

BACKGROUND: The detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patient samples is of critical importance in the management of patients and monitoring transmission in the population. However, data on the analytical performance characteristics for detection of SARS-CoV-2 in clinical specimens between individual targets within the same platform, and among different analytical platforms, are limited. METHODS: Here we evaluated the performance of 6 different sample-to-answer SARS-CoV-2 detection methods-Roche cobas 6800, Cepheid GeneXpert, Diasorin Simplexa, Luminex Aries emergency use authorization (EUA), Luminex Aries research use only (RUO), and bioMérieux BioFire-in clinical specimens with a range of viral loads. RESULTS: The positive percentage agreement between the Roche cobas 6800 and GeneXpert was 100%, Diasorin 95%, Aries EUA 74%, Aries RUO 83%, and BioFire 97%. Notably, in samples with cycle threshold (Ct) values below 30 for the E gene on the Roche cobas 6800 platform, we found 100% positive agreement among all platforms. Given these results, we examined the distribution of over 10 000 Ct values of all positive specimens from individuals at our institution on the Roche cobas platform. Nearly 60% of specimens from asymptomatic individuals had a PCR Ct value >30 as measured using the cobas 6800 assay E gene. CONCLUSIONS: Our results demonstrate performance characteristics between different platforms by Ct value and provide data regarding the distribution of viral RNA present in positive specimens.

Original languageEnglish
Pages (from-to)1452-1462
Number of pages11
JournalThe journal of applied laboratory medicine
Volume6
Issue number6
DOIs
StatePublished - Nov 1 2021

Keywords

  • COVID -19
  • PCR
  • SARS-CoV-2
  • diagnostics

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