An olfactory self-test effectively screens for COVID-19.

Olfactory system Signs and symptoms

Journal

Communications medicine
ISSN: 2730-664X
Titre abrégé: Commun Med (Lond)
Pays: England
ID NLM: 9918250414506676

Informations de publication

Date de publication:
2022
Historique:
received: 19 02 2021
accepted: 18 02 2022
entrez: 23 5 2022
pubmed: 24 5 2022
medline: 24 5 2022
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

Background UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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.

Identifiants

pubmed: 35603293
doi: 10.1038/s43856-022-00095-7
pii: 95
pmc: PMC9053292
doi:

Types de publication

Journal Article

Langues

eng

Pagination

34

Informations de copyright

© The Author(s) 2022.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare no competing interests.

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Auteurs

Kobi Snitz (K)

Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.

Danielle Honigstein (D)

Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.

Reut Weissgross (R)

Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.

Aharon Ravia (A)

Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.

Eva Mishor (E)

Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.

Ofer Perl (O)

Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.

Shiri Karagach (S)

Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.

Abebe Medhanie (A)

Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.

Nir Harel (N)

Department of Fine Arts, Bezalel Academy of Fine Arts and Design, Jerusalem, Israel.

Sagit Shushan (S)

Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.
Department of Otolaryngology-Head & Neck Surgery, Edith Wolfson Medical Center, Holon, Israel.

Yehudah Roth (Y)

Department of Otolaryngology-Head & Neck Surgery, Edith Wolfson Medical Center, Holon, Israel.
Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Behzad Iravani (B)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Artin Arshamian (A)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Department of Psychology, Stockholm University, Stockholm, Sweden.

Gernot Ernst (G)

Psychological institute, Oslo University, Oslo, Norway.

Masako Okamoto (M)

Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.

Cindy Poo (C)

Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal.

Niccolò Bonacchi (N)

Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal.

Zachary Mainen (Z)

Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal.

Erminio Monteleone (E)

Department of Agriculture, Food, Environment and Forestry, University of Florence, Florence, Italy.

Caterina Dinnella (C)

Department of Agriculture, Food, Environment and Forestry, University of Florence, Florence, Italy.

Sara Spinelli (S)

Department of Agriculture, Food, Environment and Forestry, University of Florence, Florence, Italy.

Franklin Mariño-Sánchez (F)

Rhinology and Skull Base Surgery Unit, Otorhinolaryngology Department, Ramón y Cajal University Hospital, Madrid, Spain.

Camille Ferdenzi (C)

Lyon Neuroscience Research Center, CNRS - INSERM - University Claude Bernard of Lyon, Lyon, France.

Monique Smeets (M)

Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, the Netherlands.

Kazushige Touhara (K)

Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.

Moustafa Bensafi (M)

Lyon Neuroscience Research Center, CNRS - INSERM - University Claude Bernard of Lyon, Lyon, France.

Thomas Hummel (T)

Smell and Taste Clinic, Department of Otorhinolaryngology, TU Dresden, Dresden, Germany.

Johan N Lundström (JN)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Monell Chemical Senses Center, Philadelphia, PA USA.

Noam Sobel (N)

Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.

Classifications MeSH