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DOI 10.3389/fpubh.2024.1322797

Медицинская библиотека · Frontiers in public health · 2024

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

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

СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

INTRODUCTION

Based 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.

METHODS

Between 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.

RESULTS

Among 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.

DISCUSSION: These 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.

Для цитирования: Hunter Stephanie R, Zola Anne, Ho Emily, Kallen Michael, Adjei-Danquah Edith, Achenbach Chad, Smith G Randy, Gershon Richard, Reed Danielle R, Schalet Benjamin, Parma Valentina, Dalton Pamela H. Using SCENTinel® to predict SARS-CoV-2 infection: insights from a community sample during dominance of Delta and Omicron variants.. Frontiers in public health. 2024. DOI: 10.3389/fpubh.2024.1322797.

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