Your browser doesn't support javascript.
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.
  • Weiss JJ; Department of Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, Connecticut, United States of America.
  • Attuquayefio TN; Department of Neurology, Yale School of Medicine, New Haven, Connecticut, United States of America.
  • White EB; Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, United States of America.
  • Li F; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • Herz RS; Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • White TL; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America.
  • Campbell M; Department of Psychology, Le Moyne College, Syracuse, New York, United States of America.
  • Geng B; SUNY Upstate Medical University, Syracuse, New York, United States of America.
  • Datta R; Department of Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, Connecticut, United States of America.
  • Wyllie AL; Center for Outcomes Research and Evaluation, Yale-New Haven Health, New Haven, Connecticut, United States of America.
  • Grubaugh ND; Yale School of Medicine, New Haven, Connecticut, United States of America.
  • Casanovas-Massana A; Department of Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, Connecticut, United States of America.
  • Muenker MC; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • Moore AJ; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • Handoko R; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • Iwasaki A; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • Martinello RA; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • Ko AI; Yale School of Medicine, New Haven, Connecticut, United States of America.
  • Small DM; Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, United States of America.
  • Farhadian SF; Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America.
PLoS One ; 16(3): e0248025, 2021.
Article in English | MEDLINE | ID: covidwho-1115309
ABSTRACT

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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Personnel / Anosmia / COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0248025

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Personnel / Anosmia / COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0248025