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Browsing Anderes by Author "Alizadeh, Rafieh"
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PublicationThe best COVID-19 predictor is recent smell loss: a cross-sectional study( 2020)
;Gerkin, Richard C. ;Ohla, Kathrin ;Veldhuizen, Maria Geraldine ;Joseph, Paule V. ;Kelly, Christine E. ;Bakke, Alyssa J. ;Steele, Kimberley E. ;Farruggia, Michael C. ;Pellegrino, Robert ;Pepino, Marta Y. ;Bouysset, Cédric ;Soler, Graciela M. ;Pereda-Loth, Veronica ;Debattista, Michele ;Cooper, Keiland W. ;Croijmans, Ilja ;Pizio, Antonella di ;Ozdener, M. Hakan ;Fjaelstad, Alexander W. ;Lin, Cailu ;Sandell, Mari A. ;Singh, Preet B. ;Brindha, V. Evelyn ;Olsson, Shannon B. ;Saraiva, Luis R. ;Ahuja, Gaurav ;Alwashahi, Mohammed K. ;Bhutani, Surabhi ;D'Errico, Anna ;Fornazieri, Marco A. ;Golebiowski, Jérôme ;Hwang, Liang-Dar ;Öztürk, Lina ;Roura, Eugeni ;Spinelli, Sara ;Whitcroft, Katherine L. ;Faraji, Farhoud ;Fischmeister, Florian P.S. ;Heinbockel, Thomas ;Hsieh, Julien W. ;Huart, Caroline ;Konstantinidis, Iordanis ;Menini, Anna ;Morini, Gabriella ;Olofsson, Jonas K. ;Philpott, Carl M. ;Pierron, Denis ;Shields, Vonnie D.C. ;Voznessenskaya, Vera V. ;Albayay, Javier ;Altundag, Aytug ;Bensafi, Moustafa ;Bock, María Adelaida ;Calcinoni, Orietta ;Fredborg, William ;Laudamiel, Christophe ;Lim, Juyun ;Lundström, Johan N. ;Macchi, Alberto ;Meyer, Pablo ;Moein, Shima T. ;Santamaría, Enrique ;Sengupta, Debarka ;Domínguez, Paloma Rohlfs ;Yanik, Hüseyin ;Boesveldt, Sanne ;Groot, Jasper H.B. de ;Dinnella, Caterina ;Freiherr, Jessica ;Laktionova, Tatiana ;Mariño, Sajidxa ;Monteleone, Erminio ;Nunez-Parra, Alexia ;Abdulrahman, Olagunju ;Ritchie, Marina ;Thomas-Danguin, Thierry ;Walsh-Messinger, Julie ;Abri, Rashid al ;Alizadeh, Rafieh ;Bignon, Emmanuelle ;Cantone, Elena ;Cecchini, Maria Paola ;Chen, Jingguo ;Guárdia, Maria Dolors ;Hoover, Kara C. ;Karni, Noam ;Navarro, Marta ;Nolden, Alissa A. ;Mazal, Patricia Portillo ;Rowan, Nicholas R. ;Sarabi-Jamab, Atiye ;Archer, Nicholas S. ;Chen, Ben ;Valerio, Elizabeth A. di ;Feeney, Emma L. ;Frasnelli, Johannes ;Hannum, Mackenzie ;Hopkins, Claire ;Klein, Hadar ;Mignot, Coralie ;Mucignat, Carla ;Ning, Yuping ;Ozturk, Elif E. ;Peng, Mei ;Saatci, Ozlem ;Sell, Elizabeth A. ;Yan, Carol H. ;Alfaro, Raul ;Cechetto, Cinzia ;Coureaud, Gérard ;Herriman, Riley D. ;Justice, Jeb M. ;Kaushik, Pavan Kumar ;Koyama, Sachiko ;Overdevest, Jonathan B. ;Pirastu, Nicola ;Ramirez, Vicente A. ;Roberts, S. Craig ;Smith, Barry C. ;Cao, Hongyuan ;Wang, Hong ;Balungwe, Patrick ;Baguma, Marius ;Hummel, Thomas ;Hayes, John E. ;Reed, Danielle R. ;Niv, Masha Y. ;Munger, Steven D.Parma, Valentinaackground: 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