This is a preprint.
Tracking Smell Loss to Identify Healthcare Workers with SARS-CoV-2 Infection
- PMID: 32935121
- PMCID: PMC7491536
- DOI: 10.1101/2020.09.07.20188813
Tracking Smell Loss to Identify Healthcare Workers with SARS-CoV-2 Infection
Update in
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Tracking smell loss to identify healthcare workers with SARS-CoV-2 infection.PLoS One. 2021 Mar 3;16(3):e0248025. doi: 10.1371/journal.pone.0248025. eCollection 2021. PLoS One. 2021. PMID: 33657167 Free PMC article.
Abstract
Background: 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, like HCW.
Methods: 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, novel behavioral at-home assessment of smell function with household items, as well as detailed symptom surveys that included a parosmia screening questionnaire, and RT-qPCR testing to identify SARS-CoV-2 infection.
Results: SARS-CoV-2 was identified in 17 (3.6%) of 473 HCW. Among the 17 infected HCW, 53% reported smell loss, and were more likely to report smell loss than COVID-negative HCW on both the at-home assessment and the screening questionnaire (P < .01). 67% 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 COVID-positive HCW who reported smell loss (P < .01).
Conclusions: In this prospective study of HCW, self-reported changes in smell using two different measures were predictive of COVID-19 infection. Smell loss frequently preceded a positive test and was associated with neurological symptoms.
Conflict of interest statement
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References
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- He X, Lau EHY, Wu P, et al. Temporal dynamics in viral shedding and transmissibility of COVID-19. Nature Medicine 2020; 26(5): 672–5. - PubMed
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