Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms
dc.creator | Gerkin, Richard C. | |
dc.creator | Ohla, Kathrin | |
dc.creator | Veldhuizen, Maria G. | |
dc.creator | Joseph, Paule V. | |
dc.creator | Kelly, Christine E. | |
dc.creator | Bakke, Alyssa J. | |
dc.creator | Steele, Kimberley E. | |
dc.creator | Farruggia, Michael C. | |
dc.creator | Pellegrino, Robert | |
dc.creator | Pepino, Marta Y. | |
dc.creator | Bouysset, Cédric | |
dc.creator | Soler, Graciela M. | |
dc.creator | Pereda-Loth, Veronica | |
dc.creator | Dibattista, Michele | |
dc.creator | Cooper, Keiland W. | |
dc.creator | Croijmans, Ilja | |
dc.creator | Di Pizio, Antonella | |
dc.creator | Ozdener, Mehmet Hakan | |
dc.creator | Fjaeldstad, Alexander W. | |
dc.creator | Lin, Cailu | |
dc.creator | Sandell, Mari A. | |
dc.creator | Singh, Preet B. | |
dc.creator | Brindha, V. Evelyn | |
dc.creator | Olsson, Shannon B. | |
dc.creator | Saraiva, Luis R. | |
dc.creator | Ahuja, Gaurav | |
dc.creator | Alwashahi, Mohammed K. | |
dc.creator | Bhutani, Surabhi | |
dc.creator | D'Errico, Anna | |
dc.creator | Fornazieri, Marco A. | |
dc.creator | Golebiowski, Jérôme | |
dc.creator | Hwang, Liang Dar | |
dc.creator | Öztürk, Lina | |
dc.creator | Roura, Eugeni | |
dc.creator | Spinelli, Sara | |
dc.creator | Whitcroft, Katherine L. | |
dc.creator | Faraji, Farhoud | |
dc.creator | Fischmeister, Florian Ph S. | |
dc.creator | Heinbockel, Thomas | |
dc.creator | Hsieh, Julien W. | |
dc.creator | Huart, Caroline | |
dc.creator | Konstantinidis, Iordanis | |
dc.creator | Menini, Anna | |
dc.creator | Morini, Gabriella | |
dc.creator | Olofsson, Jonas K. | |
dc.creator | Philpott, Carl M. | |
dc.creator | Pierron, Denis | |
dc.creator | Shields, Vonnie D.C. | |
dc.creator | Voznessenskaya, Vera V. | |
dc.creator | Albayay, Javier | |
dc.creator | Altundag, Aytug | |
dc.creator | Bensafi, Moustafa | |
dc.creator | Bock, María Adelaida | |
dc.creator | Calcinoni, Orietta | |
dc.creator | Fredborg, William | |
dc.creator | Laudamiel, Christophe | |
dc.creator | Lim, Juyun | |
dc.creator | Lundström, Johan N. | |
dc.creator | Macchi, Alberto | |
dc.creator | Meyer, Pablo | |
dc.creator | Moein, Shima T. | |
dc.creator | Santamaría, Enrique | |
dc.creator | Sengupta, Debarka | |
dc.creator | Dominguez, Paloma Rohlfs | |
dc.creator | Yanik, Hüseyin | |
dc.creator | Hummel, Thomas | |
dc.creator | Hayes, John E. | |
dc.creator | Reed, Danielle R. | |
dc.creator | Niv, Masha Y. | |
dc.creator | Munger, Steven D. | |
dc.creator | Parma, Valentina | |
dc.date.accessioned | 2021-03-29T18:20:50Z | |
dc.date.available | 2021-03-29T18:20:50Z | |
dc.date.issued | 2020-12-25 | |
dc.identifier.citation | Gerkin, R.C., Ohla, K., Veldhuizen, M.G., et. al. Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms, Chemical Senses, Volume 46, 2021, bjaa081, https://doi.org/10.1093/chemse/bjaa081 | |
dc.identifier.issn | 0379-864X | |
dc.identifier.doi | http://dx.doi.org/10.34944/dspace/6247 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12613/6265 | |
dc.description.abstract | 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. | |
dc.format.extent | 12 pages | |
dc.language | English | |
dc.language.iso | eng | |
dc.relation.ispartof | COVID-19 Research | |
dc.relation.haspart | Chemical Senses, Vol. 46 | |
dc.relation.isreferencedby | Oxford University Press (OUP) | |
dc.rights | All Rights Reserved | |
dc.subject | Anosmia | |
dc.subject | Chemosensory | |
dc.subject | Coronavirus | |
dc.subject | Hyposmia | |
dc.subject | Olfactory | |
dc.subject | Prediction | |
dc.title | Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms | |
dc.type | Text | |
dc.type.genre | Journal article | |
dc.description.department | Psychology | |
dc.relation.doi | https://doi.org/10.1093/chemse/bjaa081 | |
dc.ada.note | For Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu | |
dc.description.schoolcollege | Temple University. College of Liberal Arts | |
dc.temple.creator | Parma, Valentina | |
refterms.dateFOA | 2021-03-29T18:20:50Z |