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. 2024 Nov 4;9(6):927-937.
doi: 10.1093/jalm/jfae095.

SARS-CoV-2 Variants May Affect Saliva RT-PCR Assay Sensitivity

Affiliations

SARS-CoV-2 Variants May Affect Saliva RT-PCR Assay Sensitivity

Jason S Chwa et al. J Appl Lab Med. .

Abstract

Background: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants demonstrate predilection for different regions of the respiratory tract. While saliva-based reverse transcription-polymerase chain reaction (RT-PCR) testing is a convenient, cost-effective alternative to nasopharyngeal swabs (NPS), few studies to date have investigated whether saliva sensitivity differs across variants of concern.

Methods: SARS-CoV-2 RT-PCR was performed on paired NPS and saliva specimens collected from individuals with acute coronavirus disease 2019 (COVID-19) symptoms or exposure to a COVID-19 household contact. Viral genome sequencing of NPS specimens and Los Angeles County surveillance data were used to determine the variant of infection. Saliva sensitivity was calculated using NPS-positive RT-PCR as the reference standard. Factors contributing to the likelihood of saliva SARS-CoV-2 RT-PCR positivity were evaluated with univariate and multivariable analyses.

Results: Between June 2020 and December 2022, 548 saliva samples paired with SARS-CoV-2 positive NPS samples were tested by RT-PCR. Overall, saliva sensitivity for SARS-CoV-2 detection was 61.7% (95% CI, 57.6%-65.7%). Sensitivity was highest with Delta infection (79.6%) compared to pre-Delta (58.5%) and Omicron (61.5%) (P = 0.003 and 0.01, respectively). Saliva sensitivity was higher in symptomatic individuals across all variants compared to asymptomatic cases [pre-Delta 80.6% vs 48.3% (P < 0.001), Delta 100% vs 72.5% (P = 0.03), Omicron 78.7% vs 51.2% (P < 0.001)]. Infection with Delta, symptoms, and high NPS viral load were independently associated with 2.99-, 3.45-, and 4.0-fold higher odds of SARS-CoV-2 detection by saliva-based RT-PCR (P = 0.004, <0.001, and <0.001), respectively.

Conclusions: As new variants emerge, evaluating saliva-based testing approaches may be crucial to ensure effective virus detection.

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Conflict of interest statement

DISCLOSURES/CONFLICT OF INTEREST

This study was funded by grants R01AI173194 and U01AI144616 from the National Institutes of Health/National Institute of Allergy and Infectious Diseases (NIH/NIAID). The funds were used for salary support for staff and materials to conduct the study. The funders had no role in the study design, data collection and interpretation, or the decision to submit the work for publication. Pia S. Pannaraj reported receiving research funding from AstraZeneca for unrelated studies in the past. Thomas Fabrizio received funding from NIH/NIAID (#75N93021C00016). No other disclosures were reported.

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