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Tracking smell loss to identify healthcare workers with SARS-CoV-2 infection
INTRODUCTION: Healthcare workers (HCW) treating COVID-19 patients are at high risk for infection and may also spread infection through their contact with vulnerable patients. Smell loss has been associated with SARS-CoV-2 infection, but it is unknown whether monitoring for smell loss can be used to...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7928484/ https://www.ncbi.nlm.nih.gov/pubmed/33657167 http://dx.doi.org/10.1371/journal.pone.0248025 |
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author | Weiss, Julian J. Attuquayefio, Tuki N. White, Elizabeth B. Li, Fangyong Herz, Rachel S. White, Theresa L. Campbell, Melissa Geng, Bertie Datta, Rupak Wyllie, Anne L. Grubaugh, Nathan D. Casanovas-Massana, Arnau Muenker, M. Catherine Moore, Adam J. Handoko, Ryan Iwasaki, Akiko Martinello, Richard A. Ko, Albert I. Small, Dana M. Farhadian, Shelli F. |
author_facet | Weiss, Julian J. Attuquayefio, Tuki N. White, Elizabeth B. Li, Fangyong Herz, Rachel S. White, Theresa L. Campbell, Melissa Geng, Bertie Datta, Rupak Wyllie, Anne L. Grubaugh, Nathan D. Casanovas-Massana, Arnau Muenker, M. Catherine Moore, Adam J. Handoko, Ryan Iwasaki, Akiko Martinello, Richard A. Ko, Albert I. Small, Dana M. Farhadian, Shelli F. |
author_sort | Weiss, Julian J. |
collection | PubMed |
description | INTRODUCTION: Healthcare workers (HCW) treating COVID-19 patients are at high risk for infection and may also spread infection through their contact with vulnerable patients. Smell loss has been associated with SARS-CoV-2 infection, but it is unknown whether monitoring for smell loss can be used to identify asymptomatic infection among high risk individuals. In this study we sought to determine if tracking smell sensitivity and loss using an at-home assessment could identify SARS-CoV-2 infection in HCW. METHODS AND FINDINGS: We performed a prospective cohort study tracking 473 HCW across three months to determine if smell loss could predict SARS-CoV-2 infection in this high-risk group. HCW subjects completed a longitudinal, behavioral at-home assessment of olfaction with household items, as well as detailed symptom surveys that included a parosmia screening questionnaire, and real-time quantitative polymerase chain reaction testing to identify SARS-CoV-2 infection. Our main measures were the prevalence of smell loss in SARS-CoV-2-positive HCW versus SARS-CoV-2-negative HCW, and timing of smell loss relative to SARS-CoV-2 test positivity. SARS-CoV-2 was identified in 17 (3.6%) of 473 HCW. HCW with SARS-CoV-2 infection were more likely to report smell loss than SARS-CoV-2-negative HCW on both the at-home assessment and the screening questionnaire (9/17, 53% vs 105/456, 23%, P < .01). 6/9 (67%) of SARS-CoV-2-positive HCW reporting smell loss reported smell loss prior to having a positive SARS-CoV-2 test, and smell loss was reported a median of two days before testing positive. Neurological symptoms were reported more frequently among SARS-CoV-2-positive HCW who reported smell loss compared to those without smell loss (9/9, 100% vs 3/8, 38%, P < .01). CONCLUSIONS: In this prospective study of HCW, self-reported changes in smell using two different measures were predictive of SARS-CoV-2 infection. Smell loss frequently preceded a positive test and was associated with neurological symptoms. |
format | Online Article Text |
id | pubmed-7928484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-79284842021-03-10 Tracking smell loss to identify healthcare workers with SARS-CoV-2 infection Weiss, Julian J. Attuquayefio, Tuki N. White, Elizabeth B. Li, Fangyong Herz, Rachel S. White, Theresa L. Campbell, Melissa Geng, Bertie Datta, Rupak Wyllie, Anne L. Grubaugh, Nathan D. Casanovas-Massana, Arnau Muenker, M. Catherine Moore, Adam J. Handoko, Ryan Iwasaki, Akiko Martinello, Richard A. Ko, Albert I. Small, Dana M. Farhadian, Shelli F. PLoS One Research Article INTRODUCTION: Healthcare workers (HCW) treating COVID-19 patients are at high risk for infection and may also spread infection through their contact with vulnerable patients. Smell loss has been associated with SARS-CoV-2 infection, but it is unknown whether monitoring for smell loss can be used to identify asymptomatic infection among high risk individuals. In this study we sought to determine if tracking smell sensitivity and loss using an at-home assessment could identify SARS-CoV-2 infection in HCW. METHODS AND FINDINGS: We performed a prospective cohort study tracking 473 HCW across three months to determine if smell loss could predict SARS-CoV-2 infection in this high-risk group. HCW subjects completed a longitudinal, behavioral at-home assessment of olfaction with household items, as well as detailed symptom surveys that included a parosmia screening questionnaire, and real-time quantitative polymerase chain reaction testing to identify SARS-CoV-2 infection. Our main measures were the prevalence of smell loss in SARS-CoV-2-positive HCW versus SARS-CoV-2-negative HCW, and timing of smell loss relative to SARS-CoV-2 test positivity. SARS-CoV-2 was identified in 17 (3.6%) of 473 HCW. HCW with SARS-CoV-2 infection were more likely to report smell loss than SARS-CoV-2-negative HCW on both the at-home assessment and the screening questionnaire (9/17, 53% vs 105/456, 23%, P < .01). 6/9 (67%) of SARS-CoV-2-positive HCW reporting smell loss reported smell loss prior to having a positive SARS-CoV-2 test, and smell loss was reported a median of two days before testing positive. Neurological symptoms were reported more frequently among SARS-CoV-2-positive HCW who reported smell loss compared to those without smell loss (9/9, 100% vs 3/8, 38%, P < .01). CONCLUSIONS: In this prospective study of HCW, self-reported changes in smell using two different measures were predictive of SARS-CoV-2 infection. Smell loss frequently preceded a positive test and was associated with neurological symptoms. Public Library of Science 2021-03-03 /pmc/articles/PMC7928484/ /pubmed/33657167 http://dx.doi.org/10.1371/journal.pone.0248025 Text en © 2021 Weiss et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Weiss, Julian J. Attuquayefio, Tuki N. White, Elizabeth B. Li, Fangyong Herz, Rachel S. White, Theresa L. Campbell, Melissa Geng, Bertie Datta, Rupak Wyllie, Anne L. Grubaugh, Nathan D. Casanovas-Massana, Arnau Muenker, M. Catherine Moore, Adam J. Handoko, Ryan Iwasaki, Akiko Martinello, Richard A. Ko, Albert I. Small, Dana M. Farhadian, Shelli F. Tracking smell loss to identify healthcare workers with SARS-CoV-2 infection |
title | Tracking smell loss to identify healthcare workers with SARS-CoV-2 infection |
title_full | Tracking smell loss to identify healthcare workers with SARS-CoV-2 infection |
title_fullStr | Tracking smell loss to identify healthcare workers with SARS-CoV-2 infection |
title_full_unstemmed | Tracking smell loss to identify healthcare workers with SARS-CoV-2 infection |
title_short | Tracking smell loss to identify healthcare workers with SARS-CoV-2 infection |
title_sort | tracking smell loss to identify healthcare workers with sars-cov-2 infection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7928484/ https://www.ncbi.nlm.nih.gov/pubmed/33657167 http://dx.doi.org/10.1371/journal.pone.0248025 |
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