Tracking Smell Loss to Identify Healthcare Workers with SARS-CoV-2 Infection

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.

Errataetall:

UpdateIn: PLoS One. 2021 Mar 3;16(3):e0248025. - PMID 33657167

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - year:2020

Enthalten in:

medRxiv : the preprint server for health sciences - (2020) vom: 10. Sept.

Sprache:

Englisch

Beteiligte Personen:

Weiss, Julian J [VerfasserIn]
Attuquayefio, Tuki N [VerfasserIn]
White, Elizabeth B [VerfasserIn]
Li, Fangyong [VerfasserIn]
Herz, Rachel S [VerfasserIn]
White, Theresa L [VerfasserIn]
Campbell, Melissa [VerfasserIn]
Geng, Bertie [VerfasserIn]
Datta, Rupak [VerfasserIn]
Wyllie, Anne L [VerfasserIn]
Grubaugh, Nathan D [VerfasserIn]
Casanovas-Massana, Arnau [VerfasserIn]
Muenker, M Catherine [VerfasserIn]
Handoko, Ryan [VerfasserIn]
Iwasaki, Akiko [VerfasserIn]
Yale IMPACT Research Team [VerfasserIn]
Martinello, Richard A [VerfasserIn]
Ko, Albert I [VerfasserIn]
Small, Dana M [VerfasserIn]
Farhadian, Shelli F [VerfasserIn]

Links:

Volltext

Themen:

Preprint

Anmerkungen:

Date Revised 29.03.2024

published: Electronic

UpdateIn: PLoS One. 2021 Mar 3;16(3):e0248025. - PMID 33657167

Citation Status PubMed-not-MEDLINE

doi:

10.1101/2020.09.07.20188813

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM315070048