The best COVID-19 predictor is recent smell loss: a cross-sectional study
Richard Gerkin
(1)
,
Kathrin Ohla
(2)
,
Maria Geraldine Veldhuizen
(3)
,
Paule Joseph
(4)
,
Christine Kelly
(5)
,
Alyssa Bakke
(6)
,
Kimberley Steele
(4, 7)
,
Michael Farruggia
(8)
,
Robert Pellegrino
(9)
,
Marta Pepino
(10)
,
Cédric Bouysset
(11)
,
Graciela Soler
(12)
,
Veronica Pereda-Loth
(13)
,
Michele Dibattista
(14)
,
Keiland Cooper
(15)
,
Ilja Croijmans
(16)
,
Antonella Di Pizio
(17)
,
M. Hakan Ozdener
(18)
,
Alexander Fjaeldstad
(19)
,
Cailu Lin
(18)
,
Mari Sandell
(20)
,
Preet Singh
(21)
,
V. Evelyn Brindha
(22)
,
Shannon Olsson
(23)
,
Luis Saraiva
(24)
,
Gaurav Ahuja
(25)
,
Mohammed Alwashahi
(26)
,
Surabhi Bhutani
(27)
,
Anna d'Errico
(28)
,
Marco Fornazieri
(29)
,
Jérôme Golebiowski
(11)
,
Liang-Dar Hwang
(30)
,
Lina Öztürk
(3)
,
Eugeni Roura
(30)
,
Sara Spinelli
(31)
,
Katherine Whitcroft
(32)
,
Farhoud Faraji
(27)
,
Florian Ph.S Fischmeister
(33)
,
Thomas Heinbockel
(34)
,
Julien Hsieh
(35)
,
Caroline Huart
(36)
,
Iordanis Konstantinidis
(37)
,
Anna Menini
(38)
,
Gabriella Morini
(39)
,
Jonas Olofsson
(40)
,
Carl Philpott
(41)
,
Denis Pierron
(13)
,
Vonnie Shields
(42)
,
Vera Voznessenskaya
(43)
,
Javier Albayay
(44)
,
Aytug Altundag
(45)
,
Moustafa Bensafi
(46)
,
María Adelaida Bock
(47)
,
Orietta Calcinoni
(48)
,
William Fredborg
(40)
,
Christophe Laudamiel
(49)
,
Juyun Lim
(50)
,
Johan Lundström
(51)
,
Alberto Macchi
(52)
,
Pablo Meyer
(53)
,
Shima Moein
(54)
,
Enrique Santamaría
(55)
,
Debarka Sengupta
(25)
,
Paloma Paloma Domínguez
(56)
,
Hüseyin Yanik
(3)
,
Thomas Hummel
(57)
,
John Hayes
(6)
,
Danielle Reed
(18)
,
Masha Niv
(58)
,
Steven Munger
(59)
,
Valentina Parma
(60)
1
ASU -
Arizona State University [Tempe]
2 INM-1 - Institute of Neuroscience and Medicine [Jülich]
3 Mersin University
4 NIH - National Institutes of Health [Bethesda, MD, USA]
5 AbScent
6 Penn State - Pennsylvania State University
7 National Institute of Diabetes and Digestive and Kidney Diseases [Bethesda]
8 Yale University [New Haven]
9 Tennessee State University
10 UIUC - University of Illinois at Urbana-Champaign [Urbana]
11 ICN - Institut de Chimie de Nice
12 Buenos Aires University and GEOG (Grupo de Estudio de Olfato y Gusto)
13 AMIS - Anthropologie Moléculaire et Imagerie de Synthèse
14 UNIBA - Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro
15 UC Irvine - University of California [Irvine]
16 Universiteit Utrecht / Utrecht University [Utrecht]
17 TUM - Technische Universität Munchen - Technical University Munich - Université Technique de Munich
18 Monell Chemical Senses Center
19 Regional Hospital West Jutland [Denmark]
20 Helsingin yliopisto = Helsingfors universitet = University of Helsinki
21 UiO - University of Oslo
22 Karunya University
23 TIFR - Tata Institute for Fundamental Research
24 Sidra Medicine [Doha, Qatar]
25 IIIT-Delhi - Indraprastha Institute of Information Technology [New Delhi]
26 SQU - Sultan Qaboos University
27 SDSU - San Diego State University
28 Goethe University Frankfurt
29 State University of Londrina = Universidade Estadual de Londrina
30 UQ [All campuses : Brisbane, Dutton Park Gatton, Herston, St Lucia and other locations] - The University of Queensland
31 UniFI - Università degli Studi di Firenze = University of Florence = Université de Florence
32 UCL - University College of London [London]
33 Karl-Franzens-Universität Graz
34 Howard University
35 HUG - Geneva University Hospital
36 Cliniques Universitaires Saint-Luc [Bruxelles]
37 Aristotle University of Thessaloniki
38 SISSA / ISAS - Scuola Internazionale Superiore di Studi Avanzati / International School for Advanced Studies
39 UNISG - University of Gastronomic Sciences of Pollenzo
40 Stockholm University
41 UEA - University of East Anglia [Norwich]
42 Towson University [Towson, MD, United States]
43 A.N. Severtsov Institute of Ecology and Evolution
44 Unipd - Università degli Studi di Padova = University of Padua
45 Biruni University
46 CRNL - Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center
47 Public Hospital Barrio Obrero - Hospital General de Barrio Obrero [Asunción, Paraguay]
48 Private practice [Milan]
49 DreamAir Llc
50 OSU - Oregon State University
51 CCK - Cancer Center Karolinska [Karolinska Institutet]
52 Uninsubria - Universitá degli Studi dell’Insubria = University of Insubria [Varese]
53 IBM T.J. Watson Research Center - Computational Biology Center
54 IPM - Institute for Research in Fundamental Sciences [Tehran]
55 IdiSNA - Instituto de Investigación Sanitaria de Navarra [Pamplona, Spain]
56 UEX - Universidad de Extremadura - University of Extremadura
57 TU Dresden - Technische Universität Dresden = Dresden University of Technology
58 HUJ - The Hebrew University of Jerusalem
59 UF - University of Florida [Gainesville]
60 Temple University [Philadelphia]
2 INM-1 - Institute of Neuroscience and Medicine [Jülich]
3 Mersin University
4 NIH - National Institutes of Health [Bethesda, MD, USA]
5 AbScent
6 Penn State - Pennsylvania State University
7 National Institute of Diabetes and Digestive and Kidney Diseases [Bethesda]
8 Yale University [New Haven]
9 Tennessee State University
10 UIUC - University of Illinois at Urbana-Champaign [Urbana]
11 ICN - Institut de Chimie de Nice
12 Buenos Aires University and GEOG (Grupo de Estudio de Olfato y Gusto)
13 AMIS - Anthropologie Moléculaire et Imagerie de Synthèse
14 UNIBA - Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro
15 UC Irvine - University of California [Irvine]
16 Universiteit Utrecht / Utrecht University [Utrecht]
17 TUM - Technische Universität Munchen - Technical University Munich - Université Technique de Munich
18 Monell Chemical Senses Center
19 Regional Hospital West Jutland [Denmark]
20 Helsingin yliopisto = Helsingfors universitet = University of Helsinki
21 UiO - University of Oslo
22 Karunya University
23 TIFR - Tata Institute for Fundamental Research
24 Sidra Medicine [Doha, Qatar]
25 IIIT-Delhi - Indraprastha Institute of Information Technology [New Delhi]
26 SQU - Sultan Qaboos University
27 SDSU - San Diego State University
28 Goethe University Frankfurt
29 State University of Londrina = Universidade Estadual de Londrina
30 UQ [All campuses : Brisbane, Dutton Park Gatton, Herston, St Lucia and other locations] - The University of Queensland
31 UniFI - Università degli Studi di Firenze = University of Florence = Université de Florence
32 UCL - University College of London [London]
33 Karl-Franzens-Universität Graz
34 Howard University
35 HUG - Geneva University Hospital
36 Cliniques Universitaires Saint-Luc [Bruxelles]
37 Aristotle University of Thessaloniki
38 SISSA / ISAS - Scuola Internazionale Superiore di Studi Avanzati / International School for Advanced Studies
39 UNISG - University of Gastronomic Sciences of Pollenzo
40 Stockholm University
41 UEA - University of East Anglia [Norwich]
42 Towson University [Towson, MD, United States]
43 A.N. Severtsov Institute of Ecology and Evolution
44 Unipd - Università degli Studi di Padova = University of Padua
45 Biruni University
46 CRNL - Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center
47 Public Hospital Barrio Obrero - Hospital General de Barrio Obrero [Asunción, Paraguay]
48 Private practice [Milan]
49 DreamAir Llc
50 OSU - Oregon State University
51 CCK - Cancer Center Karolinska [Karolinska Institutet]
52 Uninsubria - Universitá degli Studi dell’Insubria = University of Insubria [Varese]
53 IBM T.J. Watson Research Center - Computational Biology Center
54 IPM - Institute for Research in Fundamental Sciences [Tehran]
55 IdiSNA - Instituto de Investigación Sanitaria de Navarra [Pamplona, Spain]
56 UEX - Universidad de Extremadura - University of Extremadura
57 TU Dresden - Technische Universität Dresden = Dresden University of Technology
58 HUJ - The Hebrew University of Jerusalem
59 UF - University of Florida [Gainesville]
60 Temple University [Philadelphia]
Kathrin Ohla
- Fonction : Auteur
- PersonId : 801989
- ORCID : 0000-0001-7265-0449
Cédric Bouysset
- Fonction : Auteur
- PersonId : 800278
- ORCID : 0000-0002-7814-8158
Veronica Pereda-Loth
- Fonction : Auteur
- PersonId : 765275
- ORCID : 0000-0002-7365-6217
Ilja Croijmans
- Fonction : Auteur
- PersonId : 802197
- ORCID : 0000-0001-9812-0040
Cailu Lin
- Fonction : Auteur
- PersonId : 801993
- ORCID : 0000-0001-8909-7758
Gaurav Ahuja
- Fonction : Auteur
- PersonId : 803137
- ORCID : 0000-0002-2837-9361
Jérôme Golebiowski
- Fonction : Auteur
- PersonId : 767896
- ORCID : 0000-0002-3675-1952
Eugeni Roura
- Fonction : Auteur
- PersonId : 779973
- ORCID : 0000-0002-9073-9946
Sara Spinelli
- Fonction : Auteur
- PersonId : 779973
- ORCID : 0000-0002-9073-9946
Denis Pierron
- Fonction : Auteur
- PersonId : 954495
- IdHAL : denis-pierron
- ORCID : 0000-0003-1383-6774
Moustafa Bensafi
- Fonction : Auteur
- PersonId : 741755
- IdHAL : moustafa-bensafi
- ORCID : 0000-0002-2991-3036
- IdRef : 060964766
Alberto Macchi
- Fonction : Auteur
- PersonId : 769690
- ORCID : 0000-0002-3529-8981
Debarka Sengupta
- Fonction : Auteur
- PersonId : 803138
- ORCID : 0000-0002-6353-5411
Thomas Hummel
- Fonction : Auteur
- PersonId : 756572
- ORCID : 0000-0001-9713-0183
- IdRef : 112135234
Valentina Parma
- Fonction : Auteur
- PersonId : 801931
- ORCID : 0000-0003-0276-7072
Résumé
Background: COVID-19 has heterogeneous manifestations, though one of the most common symptoms is a sudden loss of smell (anosmia or hyposmia). We investigated whether olfactory loss is a reliable predictor of COVID-19. Methods: This preregistered, cross-sectional study used a crowdsourced questionnaire in 23 languages to assess symptoms in individuals self-reporting recent respiratory illness. We quantified changes in chemosensory abilities during the course of the respiratory illness using 0-100 visual analog scales (VAS) for participants reporting a positive (C19+; n=4148) or negative (C19-; n=546) COVID-19 laboratory test outcome. Logistic regression models identified singular and cumulative predictors of COVID-19 status and post-COVID-19 olfactory recovery. Results: Both C19+ and C19- groups exhibited smell loss, but it was significantly larger in C19+ participants (mean±SD, C19+: -82.5±27.2 points; C19-: -59.8±37.7). Smell loss during illness was the best predictor of COVID-19 in both single and cumulative feature models (ROC AUC=0.72), with additional features providing no significant model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms, such as fever or cough. Olfactory recovery within 40 days was reported for ~50% of participants and was best predicted by time since illness onset. Conclusions: As smell loss is the best predictor of COVID-19, we developed the ODoR-19 tool, a 0-10 scale to screen for recent olfactory loss. Numeric ratings ≤2 indicate high odds of symptomatic COVID-19 (10
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https://inserm.hal.science/hal-02979656
Soumis le : lundi 16 novembre 2020-14:47:30
Dernière modification le : vendredi 3 janvier 2025-14:14:02
Dates et versions
Identifiants
- HAL Id : hal-02979656 , version 1
- DOI : 10.1101/2020.07.22.20157263
- PUBMED : 32743605
- PUBMEDCENTRAL : PMC7386529
Citer
Richard Gerkin, Kathrin Ohla, Maria Geraldine Veldhuizen, Paule Joseph, Christine Kelly, et al.. The best COVID-19 predictor is recent smell loss: a cross-sectional study. 2020. ⟨hal-02979656v1⟩
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