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

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 SARSCoV-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..

Medienart:

Preprint

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

bioRxiv.org - (2022) vom: 17. Nov. Zur Gesamtaufnahme - year:2022

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]
Catherine Muenker, M. [VerfasserIn]
Handoko, Ryan [VerfasserIn]
Iwasaki, Akiko [VerfasserIn]
Martinello, Richard A. [VerfasserIn]
Ko, Albert I. [VerfasserIn]
Small, Dana M. [VerfasserIn]
Farhadian, Shelli F. [VerfasserIn]

Links:

Volltext [lizenzpflichtig]
Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.1101/2020.09.07.20188813

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI018717497