An olfactory self-test effectively screens for COVID-19

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Kobi Snitz - , Weizmann Institute of Science (Autor:in)
  • Danielle Honigstein - , Weizmann Institute of Science (Autor:in)
  • Reut Weissgross - , Weizmann Institute of Science (Autor:in)
  • Aharon Ravia - , Weizmann Institute of Science (Autor:in)
  • Eva Mishor - , Weizmann Institute of Science (Autor:in)
  • Ofer Perl - , Weizmann Institute of Science (Autor:in)
  • Shiri Karagach - , Weizmann Institute of Science (Autor:in)
  • Abebe Medhanie - , Weizmann Institute of Science (Autor:in)
  • Nir Harel - , Bezalel Academy of Fine Arts and Design (Autor:in)
  • Sagit Shushan - , Weizmann Institute of Science (Autor:in)
  • Yehudah Roth - , Edith Wolfson Medical Center Israel (Autor:in)
  • Behzad Iravani - , Karolinska Institutet (Autor:in)
  • Artin Arshamian - , Karolinska Institutet (Autor:in)
  • Gernot Ernst - , Oslo Metropolitan University (Autor:in)
  • Masako Okamoto - , The University of Tokyo (Autor:in)
  • Cindy Poo - , Champalimaud Research (Autor:in)
  • Niccolò Bonacchi - , Champalimaud Research (Autor:in)
  • Zachary Mainen - , Champalimaud Research (Autor:in)
  • Erminio Monteleone - , Università degli Studi di Firenze (Autor:in)
  • Caterina Dinnella - , Università degli Studi di Firenze (Autor:in)
  • Sara Spinelli - , Università degli Studi di Firenze (Autor:in)
  • Franklin Mariño-Sánchez - , Hospital Ramon y Cajal (Autor:in)
  • Camille Ferdenzi - , INSERM - Institut national de la santé et de la recherche médicale, Université de Lyon (Autor:in)
  • Monique Smeets - , Utrecht University (Autor:in)
  • Kazushige Touhara - , The University of Tokyo (Autor:in)
  • Moustafa Bensafi - , INSERM - Institut national de la santé et de la recherche médicale, Université de Lyon (Autor:in)
  • Thomas Hummel - , Klinik und Poliklinik für Hals-Nasen-Ohrenheilkunde, Universitätsklinikum Carl Gustav Carus Dresden (Autor:in)
  • Johan N Lundström - , Karolinska Institutet (Autor:in)
  • Noam Sobel - , Weizmann Institute of Science (Autor:in)

Abstract

Background: Key to curtailing the COVID-19 pandemic are wide-scale screening strategies. An ideal screen is one that would not rely on transporting, distributing, and collecting physical specimens. Given the olfactory impairment associated with COVID-19, we developed a perceptual measure of olfaction that relies on smelling household odorants and rating them online.

Methods: Each participant was instructed to select 5 household items, and rate their perceived odor pleasantness and intensity using an online visual analogue scale. We used this data to assign an olfactory perceptual fingerprint, a value that reflects the perceived difference between odorants. We tested the performance of this real-time tool in a total of 13,484 participants (462 COVID-19 positive) from 134 countries who provided 178,820 perceptual ratings of 60 different household odorants.

Results: We observe that olfactory ratings are indicative of COVID-19 status in a country, significantly correlating with national infection rates over time. More importantly, we observe indicative power at the individual level (79% sensitivity and 87% specificity). Critically, this olfactory screen remains effective in participants with COVID-19 but without symptoms, and in participants with symptoms but without COVID-19.

Conclusions: The current odorant-based olfactory screen adds a component to online symptom-checkers, to potentially provide an added first line of defense that can help fight disease progression at the population level. The data derived from this tool may allow better understanding of the link between COVID-19 and olfaction.

Details

OriginalspracheEnglisch
Seitenumfang12
FachzeitschriftCommunications medicine
Jahrgang2
PublikationsstatusVeröffentlicht - 2022
Peer-Review-StatusJa

Externe IDs

PubMedCentral PMC9053292
unpaywall 10.1038/s43856-022-00095-7
Mendeley 30dc9374-bc0b-33ce-a940-331b777bfe4e
ORCID /0000-0001-9713-0183/work/146645225

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