TY  - JOUR
AU  - Gerkin, Richard C
AU  - Ohla, Kathrin
AU  - Veldhuizen, Maria G
AU  - Joseph, Paule V
AU  - Kelly, Christine E
AU  - Bakke, Alyssa J
AU  - Steele, Kimberley E
AU  - Farruggia, Michael C
AU  - Pellegrino, Robert
AU  - Pepino, Marta Y
AU  - Bouysset, Cédric
AU  - Soler, Graciela M
AU  - Pereda-Loth, Veronica
AU  - Dibattista, Michele
AU  - Cooper, Keiland W
AU  - Croijmans, Ilja
AU  - Di Pizio, Antonella
AU  - Ozdener, Mehmet Hakan
AU  - Fjaeldstad, Alexander W
AU  - Lin, Cailu
AU  - Sandell, Mari A
AU  - Singh, Preet B
AU  - Brindha, V Evelyn
AU  - Olsson, Shannon B
AU  - Saraiva, Luis R
AU  - Ahuja, Gaurav
AU  - Alwashahi, Mohammed K
AU  - Bhutani, Surabhi
AU  - D’Errico, Anna
AU  - Fornazieri, Marco A
AU  - Golebiowski, Jérôme
AU  - Dar Hwang, Liang
AU  - Öztürk, Lina
AU  - Roura, Eugeni
AU  - Spinelli, Sara
AU  - Whitcroft, Katherine L
AU  - Faraji, Farhoud
AU  - Fischmeister, Florian Ph S
AU  - Heinbockel, Thomas
AU  - Hsieh, Julien W
AU  - Huart, Caroline
AU  - Konstantinidis, Iordanis
AU  - Menini, Anna
AU  - Morini, Gabriella
AU  - Olofsson, Jonas K
AU  - Philpott, Carl M
AU  - Pierron, Denis
AU  - Shields, Vonnie D C
AU  - Voznessenskaya, Vera V
AU  - Albayay, Javier
AU  - Altundag, Aytug
AU  - Bensafi, Moustafa
AU  - Bock, María Adelaida
AU  - Calcinoni, Orietta
AU  - Fredborg, William
AU  - Laudamiel, Christophe
AU  - Lim, Juyun
AU  - Lundström, Johan N
AU  - Macchi, Alberto
AU  - Meyer, Pablo
AU  - Moein, Shima T
AU  - Santamaría, Enrique
AU  - Sengupta, Debarka
AU  - Rohlfs Dominguez, Paloma
AU  - Yanik, Hüseyin
AU  - Hummel, Thomas
AU  - Hayes, John E
AU  - Reed, Danielle R
AU  - Niv, Masha Y
AU  - Munger, Steven D
AU  - Parma, Valentina
AU  - Boesveldt, Sanne
AU  - de Groot, Jasper H B
AU  - Dinnella, Caterina
AU  - Freiherr, Jessica
AU  - Laktionova, Tatiana
AU  - Marino, Sajidxa
AU  - Monteleone, Erminio
AU  - Nunez-Parra, Alexia
AU  - Abdulrahman, Olagunju
AU  - Ritchie, Marina
AU  - Thomas-Danguin, Thierry
AU  - Walsh-Messinger, Julie
AU  - Al Abri, Rashid
AU  - Alizadeh, Rafieh
AU  - Bignon, Emmanuelle
AU  - Cantone, Elena
AU  - Paola Cecchini, Maria
AU  - Chen, Jingguo
AU  - Dolors Guàrdia, Maria
AU  - Hoover, Kara C
AU  - Karni, Noam
AU  - Navarro, Marta
AU  - Nolden, Alissa A
AU  - Portillo Mazal, Patricia
AU  - Rowan, Nicholas R
AU  - Sarabi-Jamab, Atiye
AU  - Archer, Nicholas S
AU  - Chen, Ben
AU  - Di Valerio, Elizabeth A
AU  - Feeney, Emma L
AU  - Frasnelli, Johannes
AU  - Hannum, Mackenzie E
AU  - Hopkins, Claire
AU  - Klein, Hadar
AU  - Mignot, Coralie
AU  - Mucignat, Carla
AU  - Ning, Yuping
AU  - Ozturk, Elif E
AU  - Peng, Mei
AU  - Saatci, Ozlem
AU  - Sell, Elizabeth A
AU  - Yan, Carol H
AU  - Alfaro, Raul
AU  - Cecchetto, Cinzia
AU  - Coureaud, Gérard
AU  - Herriman, Riley D
AU  - Justice, Jeb M
AU  - Kaushik, Pavan Kumar
AU  - Koyama, Sachiko
AU  - Overdevest, Jonathan B
AU  - Pirastu, Nicola
AU  - Ramirez, Vicente A
AU  - Roberts, S Craig
AU  - Smith, Barry C
AU  - Cao, Hongyuan
AU  - Wang, Hong
AU  - Balungwe Birindwa, Patrick
AU  - Baguma, Marius
TI  - Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms
JO  - Chemical senses
VL  - 46
SN  - 1464-3553
CY  - Oxford
PB  - Oxford Univ. Press
M1  - FZJ-2021-03996
SP  - bjaa081
PY  - 2021
AB  - In a preregistered, cross-sectional study, we investigated whether olfactory loss is a reliable predictor of COVID-19 using 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 univariate and multivariate predictors of COVID-19 status and post-COVID-19 olfactory recovery. 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 univariate and multivariate models (ROC AUC = 0.72). Additional variables provide negligible model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms (e.g., fever). Olfactory recovery within 40 days of respiratory symptom onset was reported for ~50% of participants and was best predicted by time since respiratory symptom onset. We find that quantified smell loss is the best predictor of COVID-19 amongst those with symptoms of respiratory illness. To aid clinicians and contact tracers in identifying individuals with a high likelihood of having COVID-19, we propose a novel 0–10 scale to screen for recent olfactory loss, the ODoR-19. We find that numeric ratings ≤2 indicate high odds of symptomatic COVID-19 (4 < OR < 10). Once independently validated, this tool could be deployed when viral lab tests are impractical or unavailable.
LB  - PUB:(DE-HGF)16
C6  - pmid:33367502
UR  - <Go to ISI:>//WOS:000645030100001
DO  - DOI:10.1093/chemse/bjaa081
UR  - https://juser.fz-juelich.de/record/902048
ER  -