Sökning: WFRF:(Loth E) > Recent Smell Loss I...
Fältnamn | Indikatorer | Metadata |
---|---|---|
000 | 06570naa a2201285 4500 | |
001 | oai:DiVA.org:su-195563 | |
003 | SwePub | |
008 | 210824s2021 | |||||||||||000 ||eng| | |
009 | oai:prod.swepub.kib.ki.se:149039254 | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1955632 URI |
024 | 7 | a https://doi.org/10.1093/chemse/bjaa0812 DOI |
024 | 7 | a http://kipublications.ki.se/Default.aspx?queryparsed=id:1490392542 URI |
040 | a (SwePub)sud (SwePub)ki | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Gerkin, Richard C.4 aut |
245 | 1 0 | a Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms |
264 | c 2020-12-25 | |
264 | 1 | b Oxford University Press (OUP),c 2021 |
338 | a print2 rdacarrier | |
520 | a 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. | |
650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Medicinska och farmaceutiska grundvetenskaperx Neurovetenskaper0 (SwePub)301052 hsv//swe |
650 | 7 | a MEDICAL AND HEALTH SCIENCESx Basic Medicinex Neurosciences0 (SwePub)301052 hsv//eng |
653 | a anosmia | |
653 | a chemosensory | |
653 | a coronavirus | |
653 | a hyposmia | |
653 | a olfactory | |
653 | a prediction | |
653 | a psykologi | |
653 | a Psychology | |
700 | 1 | a Ohla, Kathrin4 aut |
700 | 1 | a Veldhuizen, Maria G.4 aut |
700 | 1 | a Joseph, Paule4 aut |
700 | 1 | a Kelly, Christine E.4 aut |
700 | 1 | a Bakke, Alyssa J.4 aut |
700 | 1 | a Steele, Kimberley E.4 aut |
700 | 1 | a Farruggia, Michael C.4 aut |
700 | 1 | a Pellegrino, Robert4 aut |
700 | 1 | a Pepino, Marta Y.4 aut |
700 | 1 | a Bouysset, Cedric4 aut |
700 | 1 | a Soler, Graciela M.4 aut |
700 | 1 | a Pereda-Loth, Veronica4 aut |
700 | 1 | a Dibattista, Michele4 aut |
700 | 1 | a Cooper, Keiland W.4 aut |
700 | 1 | a Croijmans, Ilja4 aut |
700 | 1 | a Di Pizio, Antonella4 aut |
700 | 1 | a Ozdener, Mehmet Hakan4 aut |
700 | 1 | a Fjaeldstad, Alexander W.4 aut |
700 | 1 | a Lin, Cailu4 aut |
700 | 1 | a Sandell, Mari A.4 aut |
700 | 1 | a Singh, Preet B.4 aut |
700 | 1 | a Brindha, V. Evelyn4 aut |
700 | 1 | a Olsson, Shannon B.4 aut |
700 | 1 | a Saraiva, Luis R.4 aut |
700 | 1 | a Ahuja, Gaurav4 aut |
700 | 1 | a Alwashahi, Mohammed K.4 aut |
700 | 1 | a Bhutani, Surabhi4 aut |
700 | 1 | a D'Errico, Anna4 aut |
700 | 1 | a Fornazieri, Marco A.4 aut |
700 | 1 | a Golebiowski, Jerome4 aut |
700 | 1 | a Hwang, Liang Dar4 aut |
700 | 1 | a Ozturk, Lina4 aut |
700 | 1 | a Roura, Eugeni4 aut |
700 | 1 | a Spinelli, Sara4 aut |
700 | 1 | a Whitcroft, Katherine L.4 aut |
700 | 1 | a Faraji, Farhoud4 aut |
700 | 1 | a Fischmeister, Florian Ph S.4 aut |
700 | 1 | a Heinbockel, Thomas4 aut |
700 | 1 | a Hsieh, Julien W.4 aut |
700 | 1 | a Huart, Caroline4 aut |
700 | 1 | a Konstantinidis, Iordanis4 aut |
700 | 1 | a Menini, Anna4 aut |
700 | 1 | a Morini, Gabriella4 aut |
700 | 1 | a Olofsson, Jonas K.,d 1978-u Stockholms universitet,Psykologiska institutionen4 aut0 (Swepub:su)jool8931 |
700 | 1 | a Philpott, Carl M.4 aut |
700 | 1 | a Pierron, Denis4 aut |
700 | 1 | a Shields, Vonnie D. C.4 aut |
700 | 1 | a Voznessenskaya, Vera V.4 aut |
700 | 1 | a Albayay, Javier4 aut |
700 | 1 | a Altundag, Aytug4 aut |
700 | 1 | a Bensafi, Moustafa4 aut |
700 | 1 | a Bock, Maria Adelaida4 aut |
700 | 1 | a Calcinoni, Orietta4 aut |
700 | 1 | a Fredborg, Williamu Stockholms universitet,Psykologiska institutionen4 aut0 (Swepub:su)wifr5556 |
700 | 1 | a Laudamiel, Christophe4 aut |
700 | 1 | a Lim, Juyun4 aut |
700 | 1 | a Lundstrom, Johan N.u Karolinska Institutet4 aut |
700 | 1 | a Macchi, Alberto4 aut |
700 | 1 | a Meyer, Pablo4 aut |
700 | 1 | a Moein, Shima T.4 aut |
700 | 1 | a Santamaria, Enrique4 aut |
700 | 1 | a Sengupta, Debarka4 aut |
700 | 1 | a Dominguez, Paloma Rohlfs4 aut |
700 | 1 | a Yanik, Huseyin4 aut |
700 | 1 | a Hummel, Thomas4 aut |
700 | 1 | a Hayes, John E.4 aut |
700 | 1 | a Reed, Danielle R.4 aut |
700 | 1 | a Niv, Masha Y.4 aut |
700 | 1 | a Munger, Steven D.4 aut |
700 | 1 | a Parma, Valentina4 aut |
710 | 2 | a Stockholms universitetb Psykologiska institutionen4 org |
773 | 0 | t Chemical Sensesd : Oxford University Press (OUP)g 46q 46x 0379-864Xx 1464-3553 |
856 | 4 | u https://doi.org/10.1093/chemse/bjaa081y Fulltext |
856 | 4 | u https://academic.oup.com/chemse/article-pdf/doi/10.1093/chemse/bjaa081/36463073/bjaa081.pdf |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-195563 |
856 | 4 8 | u https://doi.org/10.1093/chemse/bjaa081 |
856 | 4 8 | u http://kipublications.ki.se/Default.aspx?queryparsed=id:149039254 |
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.