Frontiers in Public Health (Apr 2024)

Using SCENTinel® to predict SARS-CoV-2 infection: insights from a community sample during dominance of Delta and Omicron variants

  • Stephanie R. Hunter,
  • Anne Zola,
  • Emily Ho,
  • Michael Kallen,
  • Edith Adjei-Danquah,
  • Chad Achenbach,
  • G. Randy Smith,
  • Richard Gershon,
  • Danielle R. Reed,
  • Benjamin Schalet,
  • Valentina Parma,
  • Pamela H. Dalton

DOI
https://doi.org/10.3389/fpubh.2024.1322797
Journal volume & issue
Vol. 12

Abstract

Read online

IntroductionBased on a large body of previous research suggesting that smell loss was a predictor of COVID-19, we investigated the ability of SCENTinel®, a newly validated rapid olfactory test that assesses odor detection, intensity, and identification, to predict SARS-CoV-2 infection in a community sample.MethodsBetween April 5, 2021, and July 5, 2022, 1,979 individuals took one SCENTinel® test, completed at least one physician-ordered SARS-CoV-2 PCR test, and endorsed a list of self-reported symptoms.ResultsAmong the of SCENTinel® subtests, the self-rated odor intensity score, especially when dichotomized using a previously established threshold, was the strongest predictor of SARS-CoV-2 infection. SCENTinel® had high specificity and negative predictive value, indicating that those who passed SCENTinel® likely did not have a SARS-CoV-2 infection. Predictability of the SCENTinel® performance was stronger when the SARS-CoV-2 Delta variant was dominant rather than when the SARS-CoV-2 Omicron variant was dominant. Additionally, SCENTinel® predicted SARS-CoV-2 positivity better than using a self-reported symptom checklist alone.DiscussionThese results indicate that SCENTinel® is a rapid assessment tool that can be used for population-level screening to monitor abrupt changes in olfactory function, and to evaluate spread of viral infections like SARS-CoV-2 that often have smell loss as a symptom.

Keywords