23 results on '"Moein, Shima T"'
Search Results
2. Long-Term Taste and Smell Outcomes After COVID-19
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Sharetts, Ryan, primary, Moein, Shima T., additional, Khan, Rafa, additional, and Doty, Richard L., additional
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- 2024
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3. Development of parallel forms of a brief smell identification test useful for longitudinal testing
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Moein, Shima T., primary, Sacan, Ahmet, additional, Pourrezaei, Kambiz, additional, Yan, Carol H., additional, Turner, Justin H., additional, Sharetts, Ryan, additional, and Doty, Richard L., additional
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- 2023
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4. The 8-item NHANES pocket smell test®: Normative data
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On, Aretha, Moein, Shima T., Khan, Rafa, and Doty, Richard L
- Abstract
This study provides normative data useful for interpreting scores from the Pocket Smell Test® (PST®), a brief “scratch & sniff” neuropsychological olfactory screening test comprised of 8 items from the 40-item University of Pennsylvania Smell Identification Test (UPSIT®). We combined 3,485 PST® scores from the 2013 to 2014 National Health and Nutrition Survey (NHANES) of persons 40 years of age and older with equivalent PST® items extracted from an UPSIT® database of 3,900 persons ranging in age from 5 to 99 years. Decade-related age- and gender-adjusted percentile normative data were established across the entire age spectrum. Cut-points for defining clinically useful categories of anosmia, probable microsmia, and normosmia were determined using receiver operating characteristic (ROC) curve analyses. An age-related decline in test scores was evident for both sexes after the age of 40 years, with women outperforming men. Based on the ROC analyses, subjects scoring 3 or less (AUC = 0.81) defines anosmia. Regardless of sex, a score of 7 or 8 on the N-PST® signifies normal function (AUC of 0.71). Probable microsmia is classified as scores extending from 3 to 6. These data provide an accurate means for interpreting PST® scores within a number of clinical and applied settings.
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- 2023
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5. The 8-item NHANES pocket smell test®: Normative data.
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On, Aretha, Moein, Shima T., Khan, Rafa, and Doty, Richard L
- Abstract
Abstract This study provides normative data useful for interpreting scores from the Pocket Smell Test® (PST®), a brief “scratch & sniff” neuropsychological olfactory screening test comprised of 8 items from the 40-item University of Pennsylvania Smell Identification Test (UPSIT®). We combined 3,485 PST® scores from the 2013 to 2014 National Health and Nutrition Survey (NHANES) of persons 40 years of age and older with equivalent PST® items extracted from an UPSIT® database of 3,900 persons ranging in age from 5 to 99 years. Decade-related age- and gender-adjusted percentile normative data were established across the entire age spectrum. Cut-points for defining clinically useful categories of anosmia, probable microsmia, and normosmia were determined using receiver operating characteristic (ROC) curve analyses. An age-related decline in test scores was evident for both sexes after the age of 40 years, with women outperforming men. Based on the ROC analyses, subjects scoring 3 or less (AUC = 0.81) defines anosmia. Regardless of sex, a score of 7 or 8 on the N-PST® signifies normal function (AUC of 0.71). Probable microsmia is classified as scores extending from 3 to 6. These data provide an accurate means for interpreting PST® scores within a number of clinical and applied settings. [ABSTRACT FROM AUTHOR]
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- 2023
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6. Personality traits can predict architectural preferences: A machine learning approach.
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Dehghani Tafti, Mohsen, primary, Ahmadzad-Asl, Masoud, additional, Memarian, Gholamhossein, additional, Fallah Tafti, Mehrnaz, additional, Rajimehr, Reza, additional, Soltani, Sarvenaz, additional, Mirfazeli, Fatemeh Sadat, additional, Vahabie, Abdol-Hossein, additional, Moein, Shima T., additional, and Mozaffar, Farhang, additional
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- 2022
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7. Mere end lugtesans - COVID-19 er associeret med svær påvirkning af lugtesansen, smagssansen og mundfølelsen
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Parma, Valentina, Ohla, Kathrin, Veldhuizen, Maria G, Niv, Masha Y, Kelly, Christine E, Bakke, Alyssa J, Cooper, Keiland W, Bouysset, Cédric, Pirastu, Nicola, Dibattista, Michele, Kaur, Rishemjit, Liuzza, Marco Tullio, Pepino, Marta Y, Schöpf, Veronika, Pereda-Loth, Veronica, Olsson, Shannon B, Gerkin, Richard C, Rohlfs Domínguez, Paloma, Albayay, Javier, Farruggia, Michael C, Bhutani, Surabhi, Fjaeldstad, Alexander W, Kumar, Ritesh, Menini, Anna, Bensafi, Moustafa, Sandell, Mari, Konstantinidis, Iordanis, Di Pizio, Antonella, Genovese, Federica, Öztürk, Lina, Thomas-Danguin, Thierry, Frasnelli, Johannes, Boesveldt, Sanne, Saatci, Özlem, Saraiva, Luis R, Lin, Cailu, Golebiowski, Jérôme, Hwang, Liang-Dar, Ozdener, Mehmet Hakan, Guàrdia, Maria Dolors, Laudamiel, Christophe, Ritchie, Marina, Havlícek, Jan, Pierron, Denis, Roura, Eugeni, Navarro, Marta, Nolden, Alissa A, Lim, Juyun, Whitcroft, Katherine L, Colquitt, Lauren R, Ferdenzi, Camille, Brindha, Evelyn V, Altundag, Aytug, Macchi, Alberto, Nunez-Parra, Alexia, Patel, Zara M, Fiorucci, Sébastien, Philpott, Carl M, Smith, Barry C, Lundström, Johan N, Mucignat, Carla, Parker, Jane K, van den Brink, Mirjam, Schmuker, Michael, Fischmeister, Florian Ph S, Heinbockel, Thomas, Shields, Vonnie D C, Faraji, Farhoud, Santamaría, Enrique, Fredborg, William E A, Morini, Gabriella, Olofsson, Jonas K, Jalessi, Maryam, Karni, Noam, D’Errico, Anna, Alizadeh, Rafieh, Pellegrino, Robert, Meyer, Pablo, Huart, Caroline, Chen, Ben, Soler, Graciela M, Alwashahi, Mohammed K, Welge-Lüssen, Antje, Freiherr, Jessica, de Groot, Jasper H B, Klein, Hadar, Okamoto, Masako, Singh, Preet Bano, Hsieh, Julien W, Abdulrahman, Olagunju, Dalton, Pamela, Yan, Carol H, Voznessenskaya, Vera V, Chen, Jingguo, Sell, Elizabeth A, Walsh-Messinger, Julie, Archer, Nicholas S, Koyama, Sachiko, Deary, Vincent, Roberts, S Craig, Yanık, Hüseyin, Albayrak, Samet, Nováková, Lenka Martinec, Croijmans, Ilja, Mazal, Patricia Portillo, Moein, Shima T, Margulis, Eitan, Mignot, Coralie, Mariño, Sajidxa, Georgiev, Dejan, Kaushik, Pavan K, Malnic, Bettina, Wang, Hong, Seyed-Allaei, Shima, Yoluk, Nur, Razzaghi-Asl, Sara, Justice, Jeb M, Restrepo, Diego, Reed, Danielle R, Hummel, Thomas, Munger, Steven D, Hayes, John E, Indústries Alimentàries, Qualitat i Tecnologia Alimentària, Tecnologia Alimentària, Temple University [Philadelphia], Pennsylvania Commonwealth System of Higher Education (PCSHE), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association, Mersin University, The Hebrew University of Jerusalem (HUJ), AbScent, Pennsylvania State University (Penn State), Penn State System, University of California [Irvine] (UC Irvine), University of California (UC), Université Côte d'Azur (UCA), University of Edinburgh, Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Central Scientific Instruments Organisation (CSIR), Università degli Studi 'Magna Graecia' di Catanzaro = University of Catanzaro (UMG), University of Illinois at Urbana-Champaign [Urbana], University of Illinois System, Medizinische Universität Wien = Medical University of Vienna, Groupement scientifique de Biologie et de Medecine Spatiale (GSBMS), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National d'Études Spatiales [Toulouse] (CNES), Tata Institute for Fundamental Research (TIFR), Arizona State University [Tempe] (ASU), Universidad de Extremadura - University of Extremadura (UEX), Università degli Studi di Padova = University of Padua (Unipd), Yale School of Medicine [New Haven, Connecticut] (YSM), San Diego State University (SDSU), Aarhus University [Aarhus], University of Hertfordshire [Hatfield] (UH), Scuola Internazionale Superiore di Studi Avanzati / International School for Advanced Studies (SISSA / ISAS), Neurosciences Sensorielles Comportement Cognition, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, University of Turku, Aristotle University of Thessaloniki, Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Monell Chemical Senses Center, Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Bourgogne Franche-Comté [COMUE] (UBFC), Université de Montréal (UdeM), Wageningen University and Research Centre (WUR), Medical Science University, Sidra Medicine [Doha, Qatar], Institut de Chimie de Nice (ICN), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), University of Southern Queensland (USQ), Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology (IRTA), DreamAir Llc, Charles University [Prague] (CU), Anthropologie Moléculaire et Imagerie de Synthèse (AMIS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), University of Massachusetts System (UMASS), Oregon State University (OSU), Ear Institute, UCL, Lyon Neuroscience Research center, Karunya University, Biruni University, Assi Sette Llaghi Varese, Stanford School of Medicine [Stanford], Stanford Medicine, Stanford University-Stanford University, University of East Anglia [Norwich] (UEA), California Department of Food and Agriculture (CDFA), Unité mixte de recherche interactions plantes-microorganismes, Institut National de la Recherche Agronomique (INRA)-Université Toulouse III - Paul Sabatier (UT3), Maastricht University [Maastricht], Institute for Biology - Neurobiology, Freie Universität Berlin, Karl-Franzens-Universität Graz, Howard University College of Medicine, Towson University, University of California [San Diego] (UC San Diego), Proteomics, Center for Applied Medical Research (CIMA), Stockholm University, University of Gastronomic Sciences, Iran University of Medical Sciences, Goethe Universität Frankfurt, University of Tennessee, IBM T.J. Watson Research Center, Université libre de Bruxelles (ULB), Guangzhou Medical University, Buenos Aires University and GEOG (Grupo de Estudio de Olfato y Gusto), Sultan Qaboos University (SQU), Federal University of Technology of Akure (FUTA), A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences [Moscow] (RAS), Hospital of Xi'an Jiaotong University, University of Pennsylvania, University of Dayton, CSIRO Agriculture and Food (CSIRO), Indiana University [Bloomington], Indiana University System, University of Northumbria at Newcastle [United Kingdom], University of Stirling, Middle East Technical University [Ankara] (METU), Utrecht University [Utrecht], Instituto Universitario del Hospital Italiano [Buenos Aires, Argentina], Institute for Research in Fundamental Sciences [Tehran] (IPM), Hebrew University of Jerusalem, Technische Universität Dresden = Dresden University of Technology (TU Dresden), Terrazas del Club Hipico, University Medical Centre Ljubljana [Ljubljana, Slovenia] (UMCL), Tata Institute of Fundamental Research [Bangalore], Universidade de São Paulo = University of São Paulo (USP), University of Florida [Gainesville] (UF), University of Colorado Anschutz [Aurora], Center for Smell and Taste, Department of Food Science, Pennsylvania State University., Julien, Sabine, Tıp Fakültesi, UCL - SSS/IONS/NEUR - Clinical Neuroscience, UCL - (SLuc) Service d'oto-rhino-laryngologie, Department of Food and Nutrition, Senses and Food, Research Center Jülich, University of California [Irvine] (UCI), University of California, Università degli studi di Bari Aldo Moro (UNIBA), Università degli Studi 'Magna Graecia' di Catanzaro [Catanzaro, Italie] (UMG), University of Extremadura, University of Padova, Yale University School of Medicine, Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, University of Helsinki, Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Institute of Agrifood Research and Technology (IRTA), Universita degli Studi di Padova, Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Karl-Franzens-Universität [Graz, Autriche], University of California San Diego Health, University of Brussels, University of Pennsylvania [Philadelphia], Tata Institute of Fundamental Research, University of São Paulo (USP), UCL - SSS/IONS - Institute of NeuroScience, FSE Campus Venlo, and RS: FSE UCV
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Male ,Taste ,Physiology ,Smagstab ,Audiology ,AcademicSubjects/SCI01180 ,Settore BIO/09 - Fisiologia ,Behavioral Neuroscience ,chemistry.chemical_compound ,Olfaction Disorders ,Taste Disorders ,0302 clinical medicine ,RATINGS ,Hyposmia ,Surveys and Questionnaires ,CHEMOSENSITIVITY ,[SDV.IDA]Life Sciences [q-bio]/Food engineering ,Viral ,PALADAR ,030223 otorhinolaryngology ,Sensory Science and Eating Behaviour ,media_common ,TASTE ,US NATIONAL-HEALTH ,[SDV.IDA] Life Sciences [q-bio]/Food engineering ,Middle Aged ,Biological Sciences ,16. Peace & justice ,Sensory Systems ,3. Good health ,Smell ,GCCR Group Author ,ddc:540 ,Smell loss ,Female ,Original Article ,medicine.symptom ,Corrigendum ,Coronavirus Infections ,olfaction ,Adult ,somatosensation ,medicine.medical_specialty ,663/664 ,Coronavirus disease 2019 (COVID-19) ,OLFACTORY DISORDERS ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,media_common.quotation_subject ,Pneumonia, Viral ,head and neck surgery ,Aged ,Betacoronavirus ,COVID-19 ,Humans ,Pandemics ,SARS-CoV-2 ,Self Report ,Somatosensory Disorders ,Young Adult ,Anosmia ,Sensory system ,Olfaction ,03 medical and health sciences ,Chemesthesis ,Physiology (medical) ,Perception ,medicine ,Neurology & Neurosurgery ,Behaviour Change and Well-being ,business.industry ,R-PACKAGE ,3112 Neurosciences ,Pneumonia ,Parosmia ,COMPONENT ,Smagssans ,[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition ,Sensoriek en eetgedrag ,chemistry ,Lugtetab ,business ,[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition ,030217 neurology & neurosurgery ,Lugtesans - Abstract
Correction: Chemical Senses, Volume 46, 2021, bjab050, https://doi.org/10.1093/chemse/bjab050 Published: 08 December 2021 Recent anecdotal and scientific reports have provided evidence of a link between COVID-19 and chemosensory impairments, such as anosmia. However, these reports have downplayed or failed to distinguish potential effects on taste, ignored chemesthesis, and generally lacked quantitative measurements. Here, we report the development, implementation, and initial results of a multilingual, international questionnaire to assess self-reported quantity and quality of perception in 3 distinct chemosensory modalities (smell, taste, and chemesthesis) before and during COVID-19. In the first 11 days after questionnaire launch, 4039 participants (2913 women, 1118 men, and 8 others, aged 19-79) reported a COVID-19 diagnosis either via laboratory tests or clinical assessment. Importantly, smell, taste, and chemesthetic function were each significantly reduced compared to their status before the disease. Difference scores (maximum possible change +/- 100) revealed a mean reduction of smell (-79.7 +/- 28.7, mean +/- standard deviation), taste (-69.0 +/- 32.6), and chemesthetic (-37.3 +/- 36.2) function during COVID-19. Qualitative changes in olfactory ability (parosmia and phantosmia) were relatively rare and correlated with smell loss. Importantly, perceived nasal obstruction did not account for smell loss. Furthermore, chemosensory impairments were similar between participants in the laboratory test and clinical assessment groups. These results show that COVID-19-associated chemosensory impairment is not limited to smell but also affects taste and chemesthesis.The multimodal impact of COVID-19 and the lack of perceived nasal obstruction suggest that severe acute respiratory syndrome coronavirus strain 2 (SARS-CoV-2) infection may disrupt sensory-neural mechanisms.
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- 2020
8. Increasing incidence of parosmia and phantosmia in patients recovering from COVID-19 smell loss
- Author
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Ohla, Kathrin, primary, Veldhuizen, Maria Geraldine, additional, Green, Tomer, additional, Hannum, Mackenzie E., additional, Bakke, Alyssa J., additional, Moein, Shima T., additional, Tognetti, Arnaud, additional, Postma, Elbrich M., additional, Pellegrino, Robert, additional, Hwang, Liang-Dar, additional, Albayay, Javier, additional, Koyama, Sachiko, additional, Nolden, Alissa, additional, Thomas-Danguin, Thierry, additional, Mucignat-Caretta, Carla, additional, Menger, Nick S., additional, Croijmans, Ilja, additional, Öztürk, Lina, additional, Yanık, Hüseyin, additional, Pierron, Denis, additional, Pereda-Loth, Veronica, additional, Nunez-Parra, Alexia, additional, Pineda, Aldair M. Martinez, additional, Gillespie, David, additional, Farruggia, Michael C., additional, Cecchetto, Cinzia, additional, Fornazieri, Marco A., additional, Philpott, Carl, additional, Voznessenskaya, Vera, additional, Cooper, Keiland, additional, Dominguez, Paloma Rohlfs, additional, Calcinoni, Orietta, additional, de Groot, Jasper, additional, Boesveldt, Sanne, additional, Bhutani, Surabhi, additional, Weir, Elisabeth M., additional, Exten, Cara, additional, Joseph, Paule V., additional, Parma, Valentina, additional, Hayes, John E., additional, and Niv, Masha Y., additional
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- 2021
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9. Corrigendum to: More than smell: COVID-19 is associated with severe impairment of smell, taste, and chemesthesis
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Parma, Valentina, Ohla, Kathrin, Veldhuizen, Maria G., Niv, Masha Y., Kelly, Christine E., Bakke, Alyssa J., Cooper, Keiland W., Bouysset, Cédric, Pirastu, Nicola, Dibattista, Michele, Kaur, Rishemjit, Liuzza, Marco Tullio, Pepino, Marta Y., Schöpf, Veronika, Pereda-Loth, Veronica, Olsson, Shannon B., Gerkin, Richard C., Rohlfs Domínguez, Paloma, Albayay, Javier, Farruggia, Michael C., Bhutani, Surabhi, Fjaeldstad, Alexander W., Kumar, Ritesh, Menini, Anna, Bensafi, Moustafa, Sandell, Mari, Konstantinidis, Iordanis, Di Pizio, Antonella, Genovese, Federica, Öztürk, Lina, Thomas-Danguin, Thierry, Frasnelli, Johannes, Boesveldt, Sanne, Saatci, Özlem, Saraiva, Luis R., Lin, Cailu, Golebiowski, Jérôme, Hwang, Liang Dar, Ozdener, Mehmet Hakan, Guàrdia, Maria Dolors, Laudamiel, Christophe, Ritchie, Marina, Havlícek, Jan, Pierron, Denis, Roura, Eugeni, Navarro, Marta, Nolden, Alissa A., Lim, Juyun, Whitcroft, Katherine L., Colquitt, Lauren R., Ferdenzi, Camille, Brindha, Evelyn V., Altundag, Aytug, Macchi, Alberto, Nunez-Parra, Alexia, Patel, Zara M., Fiorucci, Sébastien, Philpott, Carl M., Smith, Barry C., Lundström, Johan N., Mucignat, Carla, Parker, Jane K., Van Den Brink, Mirjam, Schmuker, Michael, Fischmeister, Florian Ph S., Heinbockel, Thomas, Shields, Vonnie D.C., Faraji, Farhoud, Santamaría, Enrique, Fredborg, William E.A., Morini, Gabriella, Olofsson, Jonas K., Jalessi, Maryam, Karni, Noam, D'Errico, Anna, Alizadeh, Rafieh, Pellegrino, Robert, Meyer, Pablo, Huart, Caroline, Chen, Ben, Soler, Graciela M., Alwashahi, Mohammed K., Welge-Lüssen, Antje, Freiherr, Jessica, De Groot, Jasper H.B., Klein, Hadar, Okamoto, Masako, Singh, Preet Bano, Hsieh, Julien W., Abdulrahman, Olagunju, Dalton, Pamela, Yan, Carol H., Voznessenskaya, Vera V., Chen, Jingguo, Sell, Elizabeth A., Walsh-Messinger, Julie, Archer, Nicholas S., Koyama, Sachiko, Deary, Vincent, Roberts, S.C., Yanlk, Hüseyin, Albayrak, Samet, Nováková, Lenka Martinec, Croijmans, Ilja, Mazal, Patricia Portillo, Moein, Shima T., Margulis, Eitan, Mignot, Coralie, Mariño, Sajidxa, Georgiev, Dejan, Kaushik, Pavan K., Malnic, Bettina, Wang, Hong, Seyed-Allaei, Shima, Yoluk, Nur, Razzaghi-Asl, Sara, Justice, Jeb M., Restrepo, Diego, Reed, Danielle R., Hummel, Thomas, Munger, Steven D., Hayes, John E., UCL - SSS/IONS - Institute of NeuroScience, UCL - SSS/IONS/NEUR - Clinical Neuroscience, and UCL - (SLuc) Service d'oto-rhino-laryngologie
- Subjects
Behavioral Neuroscience ,Sensoriek en eetgedrag ,Behaviour Change and Well-being ,Physiology ,Physiology (medical) ,ddc:540 ,Life Science ,Sensory Systems ,Sensory Science and Eating Behaviour ,VLAG - Abstract
This is a correction notice for article bjaa041 (DOI: https:// doi.org/10.1093/chemse/bjaa041), published 20 June 2020. An incorrect version of the caption to Figure 5 was mistakenly included in the published paper. An updated version is given below. Neither the data nor the paper's conclusions were affected by this correction. The authors sincerely apologize for the error. (A) Correlations between the 3 principal components with respect to changes in 3 chemosensory modalities (i.e., taste, smell, and chemesthesis). Shades of gray indicate positive correlation, whereas shades of red indicate negative correlations. White denotes no correlation. (B) Clusters of participants identified by k-means clustering. The scatterplot shows each participant's loading on dimension 1 (degree of smell and taste loss, PC1 on x-Axis) and dimension 2 (degree of chemesthesis loss, PC2 on y-Axis). Based on the centroid of each cluster, participants in cluster 1 (blue, N = 1767; top left) are generally characterized by significant smell, taste and chemesthesis loss. Participants in cluster 2 (orange, N = 1724; bottom center) are generally characterized by ratings that reflect smell/taste loss with preserved chemesthesis. Loadings for participants in cluster 3 (green, N = 548; right side) are generally characterized by reduced smell and taste loss, and preserved chemesthesis.
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- 2021
10. Functional Near Infrared Spectroscopy (fNIRS) based Odor Detection and Classification using Functional Data Analysis
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Moradi, Faezeh, primary, Moein, Shima T., additional, Zakeri, Issa, additional, and Pourrezaei, Kambiz, additional
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- 2021
- Full Text
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11. Recent smell loss is the best predictor of COVID-19: a preregistered, cross-sectional study
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Parma, Valentina, Overdevest, Jonathan B, Peng, Mei, Saatci, Ozlem, Sell, Elizabeth A, Yan, Carol H, Alfaro, Raul, Cecchetto, Cinzia, Coureaud, Gérard, Herriman, Riley D, Justice, Jeb M, Kaushik, Pavan Kumar, Koyama, Sachiko, Pirastu, Nicola, Ning, Yuping, 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, Ozturk, Elif E, 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, Dibattista, Michele, Cooper, Keiland W, Croijmans, Ilja, Di Pizio, Antonella, Ozdener, M Hakan, Fjaeldstad, 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 Ph 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 Paloma, Yanık, Hüseyin, Boesveldt, Sanne, de Groot, Jasper H B, Dinnella, Caterina, Freiherr, Jessica, Laktionova, Tatiana, Mariño, Sajidxa, Monteleone, Erminio, Nunez-Parra, Alexia, Abdulrahman, Olagunju, Ritchie, Marina, Thomas-Danguin, Thierry, Walsh-Messinger, Julie, Al Abri, Rashid, Alizadeh, Rafieh, Bignon, Emmanuelle, Cantone, Elena, Cecchini, Maria Paola, Chen, Jingguo, Guàrdia, 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, Di Valerio, Elizabeth A, Feeney, Emma L, Frasnelli, Johannes, Hannum, Mackenzie, Hopkins, Claire, Klein, Hadar, Mignot, Coralie, Mucignat, Carla, UCL - (SLuc) Service d'oto-rhino-laryngologie, and UCL - SSS/IONS/NEUR - Clinical Neuroscience
- Abstract
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. 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. 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. 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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- 2020
12. Prevalence and reversibility of smell dysfunction measured psychophysically in a cohort of COVID‐19 patients
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Moein, Shima T., primary, Hashemian, Seyed MohammadReza, additional, Tabarsi, Payam, additional, and Doty, Richard L., additional
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- 2020
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13. Reply to: Psychophysical olfactory testing in COVID‐19: is smell function really impaired in nearly all patients?
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Moein, Shima T., primary, Hashemian, Seyed Mohammad Reza, additional, Mansourafshar, Babak, additional, Khorram‐Tousi, Ali, additional, Tabarsi, Payam, additional, and Doty, Richard L., additional
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- 2020
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14. Smell dysfunction: a biomarker for COVID‐19
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Moein, Shima T., primary, Hashemian, Seyed MohammadReza, additional, Mansourafshar, Babak, additional, Khorram‐Tousi, Ali, additional, Tabarsi, Payam, additional, and Doty, Richard L., additional
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- 2020
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15. Trends in Neuroscience in Iran: A Scientometric Analysis for Mapping and Clustering Neuroscience Literature from 2000 to 2019
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Hamdami, Mojgan, M Amin Abdollahi, Soroush M Mirmobini, and Moein, Shima T
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- 2019
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16. Smell detection could be traced in fNIRS signals recorded from the forehead.
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Shadgan, Babak, Gandjbakhche, Amir H., Moein, Shima T., Khoneiveh, Sepideh, Mirmobini, Soroush, Wong, Ardy, Zakeri, Issa, and Pourrezaei, Kambiz
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- 2019
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17. Smell detection could be traced in fNIRS signals recorded from the forehead
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Shadgan, Babak, Gandjbakhche, Amir H., Moein, Shima T., Khoneiveh, Sepideh, Mirmobini, Soroush, Wong, Ardy, Zakeri, Issa, and Pourrezaei, Kambiz
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- 2020
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18. Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms
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Gerkin, Richard, Ohla, Kathrin, Veldhuizen, Maria, Joseph, Paule, Kelly, Christine, Bakke, Alyssa, Steele, Kimberley, Farruggia, Michael, Pellegrino, Robert, Pepino, Marta, Bouysset, Cédric, Soler, Graciela, Pereda-Loth, Veronica, Dibattista, Michele, Cooper, Keiland, Croijmans, Ilja, Di Pizio, Antonella, Ozdener, Mehmet Hakan, Fjaeldstad, Alexander, Lin, Cailu, Sandell, Mari, Singh, Preet, Brindha, Evelyn, Olsson, Shannon, Saraiva, Luis, Ahuja, Gaurav, Alwashahi, Mohammed, Bhutani, Surabhi, D’Errico, Anna, Fornazieri, Marco, Golebiowski, Jérôme, Dar Hwang, Liang, Öztürk, Lina, Roura, Eugeni, Spinelli, Sara, Whitcroft, Katherine, Faraji, Farhoud, Fischmeister, Florian, Heinbockel, Thomas, Hsieh, Julien, Huart, Caroline, Konstantinidis, Iordanis, Menini, Anna, Morini, Gabriella, Olofsson, Jonas, Philpott, Carl, Pierron, Denis, Shields, Vonnie, Voznessenskaya, Vera, Albayay, Javier, Altundag, Aytug, Bensafi, Moustafa, Bock, María Adelaida, Calcinoni, Orietta, Fredborg, William, Laudamiel, Christophe, Lim, Juyun, Lundström, Johan, Macchi, Alberto, Meyer, Pablo, Moein, Shima, Santamaría, Enrique, Sengupta, Debarka, Rohlfs Dominguez, Paloma, Yanik, Hüseyin, Hummel, Thomas, Hayes, John, Reed, Danielle, Niv, Masha, Munger, Steven, Parma, Valentina, Boesveldt, Sanne, de Groot, Jasper, Dinnella, Caterina, Freiherr, Jessica, Laktionova, Tatiana, Marino, Sajidxa, Monteleone, Erminio, Nunez-Parra, Alexia, Abdulrahman, Olagunju, Ritchie, Marina, Thomas-Danguin, Thierry, Walsh-Messinger, Julie, Al Abri, Rashid, Alizadeh, Rafieh, Bignon, Emmanuelle, Cantone, Elena, Paola Cecchini, Maria, Chen, Jingguo, Dolors Guàrdia, Maria, Hoover, Kara, Karni, Noam, Navarro, Marta, Nolden, Alissa, Portillo Mazal, Patricia, Rowan, Nicholas, Sarabi-Jamab, Atiye, Archer, Nicholas, Chen, Ben, Di Valerio, Elizabeth, Feeney, Emma, Frasnelli, Johannes, Hannum, Mackenzie, Hopkins, Claire, Klein, Hadar, Mignot, Coralie, Mucignat, Carla, Ning, Yuping, Ozturk, Elif, Peng, Mei, Saatci, Ozlem, Sell, Elizabeth, Yan, Carol, Alfaro, Raul, Coureaud, G., Herriman, Riley, Justice, Jeb, Kaushik, Pavan Kumar, Koyama, Sachiko, Overdevest, Jonathan, Pirastu, Nicola, Ramirez, Vicente, Roberts, S. Craig, Smith, Barry, Cao, Hongyuan, Wang, Hong, Balungwe Birindwa, Patrick, Baguma, Marius, Ozdener, Mehmet, Bock, María, Kaushik, Pavan, Pizio, Antonella, Hakan Ozdener, Mehmet, D'Errico, Anna, Hwang, Liang Dar, Group, GCCR, Cecchini, Maria, Indústries Alimentàries, Qualitat i Tecnologia Alimentària, Arizona State University [Tempe] (ASU), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association, Mersin University, National Institutes of Health [Bethesda] (NIH), AbScent, Pennsylvania State University (Penn State), Penn State System, Yale University [New Haven], University of Tennessee, University of Illinois at Urbana-Champaign [Urbana], University of Illinois System, Institut de Chimie de Nice (ICN), Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Buenos Aires University and GEOG (Grupo de Estudio de Olfato y Gusto), Centre d'anthropologie et de génomique de Toulouse (CAGT), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Università degli studi di Bari Aldo Moro (UNIBA), University of California, Utrecht University [Utrecht], Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Monell Chemical Senses Center, Regional Hospital West Jutland [Denmark], University of Helsinki, University of Oslo (UiO), Karunya Institute of Technology and Sciences, Tata Institute of Fundamental Research, Sidra Medicine [Doha, Qatar], Indraprastha Institute of Information Technology [New Delhi] (IIIT-Delhi), Sultan Qaboos University (SQU), San Diego State University (SDSU), Goethe-University Frankfurt am Main, State University of Londrina = Universidade Estadual de Londrina, Elena Cantone, University of Queensland - The Diamantina Institute, University of Queensland [Brisbane], Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), University College of London [London] (UCL), UC San Diego Health, Karl-Franzens-Universität [Graz, Autriche], Howard University College of Medicine [Washington, DC, USA], Geneva University Hospitals and Geneva University, Cliniques Universitaires Saint-Luc [Bruxelles], Aristotle University of Thessaloniki, Scuola Internazionale Superiore di Studi Avanzati / International School for Advanced Studies (SISSA / ISAS), Stockholm University, University of East Anglia [Norwich] (UEA), Towson University [Towson, MD, United States], University of Maryland System, Severtsov Institute of Ecology and Evolution RAS, University of Padova [Padova, Italy], Biruni University, Centre de recherche en neurosciences de Lyon (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Hospital General de Barrio Obrero [Asunción, Paraguay] (Public Hospital Barrio Obrero ), Private practice [Milan], DreamAir Llc, Oregon State University (OSU), Karolinska Institutet [Stockholm], University of Insubria, Varese, IBM Watson Research Center, IBM, Navarrabiomed-IdiSNA, University of Extremadura, Technische Universität Dresden = Dresden University of Technology (TU Dresden), The Hebrew University of Jerusalem (HUJ), University of Florida [Gainesville] (UF), Temple University [Philadelphia], Pennsylvania Commonwealth System of Higher Education (PCSHE), Wageningen University and Research [Wageningen] (WUR), Radboud university [Nijmegen], Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Universidad de Chile = University of Chile [Santiago] (UCHILE), Federal University of Technology of Akure (FUTA), University of California [Berkeley], Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Bourgogne Franche-Comté [COMUE] (UBFC), University of Dayton, Iran University of Medical Sciences [Tehran, Iran] (IUMS), 'Federico II' University of Naples Medical School, University of Verona (UNIVR), Xi'an Jiaotong University (Xjtu), Institute of Agrifood Research and Technology (IRTA), University of Alaska [Fairbanks] (UAF), The Hebrew University Medical Center, University of Massachusetts System (UMASS), Instituto Universitario del Hospital Italiano [Buenos Aires, Argentina], Johns Hopkins University School of Medicine [Baltimore], Institute for Research in Fundamental Sciences [Tehran] (IPM), CSIRO Agriculture and Food (CSIRO), The First Affiliated Hospital of Guangzhou Medical University (GMU), University College Dublin [Dublin] (UCD), Université du Québec à Trois-Rivières (UQTR), Guy’s and St. Thomas’ Hospitals, University of Padova, Kilis Yedi Aralik University, University of Otago [Dunedin, Nouvelle-Zélande], Sancaktepe Education and Research Hospital, University of Pennsylvania [Philadelphia], University of California San Diego Health, Indiana University [Bloomington], Indiana University System, Columbia University Medical Center (CUMC), Columbia University [New York], University of Edinburgh, University of California [Merced], University of Stirling, University of London [London], Florida State University [Tallahassee] (FSU), Université catholique de Bukavu, University of Southern Queensland (USQ), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Technical University of Munich (TUM), University of Graz, Publica, Gerkin, Richard C, Ohla, Kathrin, Veldhuizen, Maria G, 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, Dibattista, Michele, Cooper, Keiland W, Croijmans, Ilja, Di Pizio, Antonella, Ozdener, M Hakan, Fjaeldstad, 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 PhS, Heinbockel, Thoma, Hsieh, Julien W, Huart, Caroline, Konstantinidis, Iordani, Menini, Anna, Morini, Gabriella, Olofsson, Jonas K, Philpott, Carl M, Pierron, Deni, 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, Dominguez, Paloma Rohlf, Yanik, Hüseyin, Hummel, Thoma, Hayes, John E, Reed, Danielle R, Niv, Masha Y, Munger, Steven D, Parma, Valentina, Tıp Fakültesi, UCL - SSS/IONS/NEUR - Clinical Neuroscience, and UCL - (SLuc) Service d'oto-rhino-laryngologie
- Subjects
Male ,Multivariate statistics ,Physiology ,Cross-sectional study ,[SDV]Life Sciences [q-bio] ,coronavirus ,Logistic regression ,Settore BIO/09 - Fisiologia ,Behavioral Neuroscience ,0302 clinical medicine ,Hyposmia ,[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,Medicine ,030223 otorhinolaryngology ,Sensory Science and Eating Behaviour ,Chemosensory ,hyposmia ,Middle Aged ,Prognosis ,olfactory ,Sensory Systems ,Smell ,chemosensory ,ddc:540 ,[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,Female ,HEALTH ,medicine.symptom ,Adult ,medicine.medical_specialty ,Anosmia ,Coronavirus ,Olfactory ,Prediction ,COVID-19 ,Cross-Sectional Studies ,Humans ,SARS-CoV-2 ,Self Report ,663/664 ,Visual analogue scale ,Odds ,03 medical and health sciences ,Physiology (medical) ,Internal medicine ,QUALITY ,[SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory Organs ,COVID-19 symptoms ,Behaviour Change and Well-being ,IDENTIFICATION ,business.industry ,Univariate ,prediction ,Sensoriek en eetgedrag ,business ,030217 neurology & neurosurgery ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology ,anosmia ,Smell impairment - Abstract
Contains fulltext : 228204.pdf (Publisher’s version ) (Closed access) 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
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- 2020
19. Self-Reported Hypersensitivity to Smells: Objective Evidence for Hyposmia, not Hyperosmia.
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Khan R, Moein ST, and Doty RL
- Abstract
Objective: To compare, using state-of-the-art psychophysical tests, the olfactory function of patients complaining and not complaining of olfactory hypersensitivity., Study Design: Retrospective cross-sectional., Setting: The Smell and Taste Center at the University of Pennsylvania., Methods: University of Pennsylvania Smell Identification Test (UPSIT) scores were obtained from 148 patients complaining of hyperosmia and 494 patients with no such complaints; detection threshold test scores were obtained from 77 and 483 patients of these respective groups. The effects of subject group, age, and sex on the test scores were assessed using analyses of variance. Categorical variables were evaluated by χ
2 . Responses to items within a detailed intake questionnaire, for example, the Beck Depression Inventory (BDI-II), were also evaluated., Results: Unexpectedly, those complaining of hyperosmia had lower olfactory test scores than those with no such complaints (respective UPSIT means [95% confidence interval [CIs]] = 27.86 (26.85, 28.87) and 32.19 (31.67, 32.71); P < .001; respective threshold means (log vol/vol) = -4.49 (-4.89, -4.09) and -5.22 (-5.36, -5.06); P < .001). Remarkably, 70.95% of the self-identified hyperosmics exhibited mild to severe microsmia. The hyposmia complainers also exhibited elevated BDI scores (11.02 [9.53, 12.51] vs 7.58 [6.80, 8.34])., Conclusion: When objectively tested, many patients who complain of hypersensitivity to odors are actually less sensitive to them. The basis of this phenomenon is unclear. It could reflect the presence of emotionally disturbing altered smell sensations, or one or more comorbidities, such as hypochondria or osmophobia. These findings point to the importance of objective testing of persons with complaints of chemosensory dysfunction and reiterate the inaccuracy of self-reports., (© 2024 The Author(s). Otolaryngology–Head and Neck Surgery published by Wiley Periodicals LLC on behalf of American Academy of Otolaryngology–Head and Neck Surgery Foundation.)- Published
- 2024
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20. The 8-item NHANES pocket smell test ® : Normative data.
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On A, Moein ST, Khan R, and Doty RL
- Abstract
This study provides normative data useful for interpreting scores from the Pocket Smell Test
® (PST® ), a brief "scratch & sniff" neuropsychological olfactory screening test comprised of 8 items from the 40-item University of Pennsylvania Smell Identification Test (UPSIT® ). We combined 3,485 PST® scores from the 2013 to 2014 National Health and Nutrition Survey (NHANES) of persons 40 years of age and older with equivalent PST® items extracted from an UPSIT® database of 3,900 persons ranging in age from 5 to 99 years. Decade-related age- and gender-adjusted percentile normative data were established across the entire age spectrum. Cut-points for defining clinically useful categories of anosmia, probable microsmia, and normosmia were determined using receiver operating characteristic (ROC) curve analyses. An age-related decline in test scores was evident for both sexes after the age of 40 years, with women outperforming men. Based on the ROC analyses, subjects scoring 3 or less (AUC = 0.81) defines anosmia. Regardless of sex, a score of 7 or 8 on the N-PST® signifies normal function (AUC of 0.71). Probable microsmia is classified as scores extending from 3 to 6. These data provide an accurate means for interpreting PST® scores within a number of clinical and applied settings.- Published
- 2023
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21. Prognostic indicators and outcomes of hospitalised COVID-19 patients with neurological disease: An individual patient data meta-analysis.
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Singh B, Lant S, Cividini S, Cattrall JWS, Goodwin LC, Benjamin L, Michael BD, Khawaja A, Matos AMB, Alkeridy W, Pilotto A, Lahiri D, Rawlinson R, Mhlanga S, Lopez EC, Sargent BF, Somasundaran A, Tamborska A, Webb G, Younas K, Al Sami Y, Babu H, Banks T, Cavallieri F, Cohen M, Davies E, Dhar S, Fajardo Modol A, Farooq H, Harte J, Hey S, Joseph A, Karthikappallil D, Kassahun D, Lipunga G, Mason R, Minton T, Mond G, Poxon J, Rabas S, Soothill G, Zedde M, Yenkoyan K, Brew B, Contini E, Cysique L, Zhang X, Maggi P, van Pesch V, Lechien J, Saussez S, Heyse A, Brito Ferreira ML, Soares CN, Elicer I, Eugenín-von Bernhardi L, Ñancupil Reyes W, Yin R, Azab MA, Abd-Allah F, Elkady A, Escalard S, Corvol JC, Delorme C, Tattevin P, Bigaut K, Lorenz N, Hornuss D, Hosp J, Rieg S, Wagner D, Knier B, Lingor P, Winkler AS, Sharifi-Razavi A, Moein ST, SeyedAlinaghi S, JamaliMoghadamSiahkali S, Morassi M, Padovani A, Giunta M, Libri I, Beretta S, Ravaglia S, Foschi M, Calabresi P, Primiano G, Servidei S, Biagio Mercuri N, Liguori C, Pierantozzi M, Sarmati L, Boso F, Garazzino S, Mariotto S, Patrick KN, Costache O, Pincherle A, Klok FA, Meza R, Cabreira V, Valdoleiros SR, Oliveira V, Kaimovsky I, Guekht A, Koh J, Fernández Díaz E, Barrios-López JM, Guijarro-Castro C, Beltrán-Corbellini Á, Martínez-Poles J, Diezma-Martín AM, Morales-Casado MI, García García S, Breville G, Coen M, Uginet M, Bernard-Valnet R, Du Pasquier R, Kaya Y, Abdelnour LH, Rice C, Morrison H, Defres S, Huda S, Enright N, Hassell J, D'Anna L, Benger M, Sztriha L, Raith E, Chinthapalli K, Nortley R, Paterson R, Chandratheva A, Werring DJ, Dervisevic S, Harkness K, Pinto A, Jillella D, Beach S, Gunasekaran K, Rocha Ferreira Da Silva I, Nalleballe K, Santoro J, Scullen T, Kahn L, Kim CY, Thakur KT, Jain R, Umapathi T, Nicholson TR, Sejvar JJ, Hodel EM, Tudur Smith C, and Solomon T
- Subjects
- Hospitalization, Humans, Prognosis, Risk Factors, COVID-19 complications, COVID-19 therapy, Stroke
- Abstract
Background: Neurological COVID-19 disease has been reported widely, but published studies often lack information on neurological outcomes and prognostic risk factors. We aimed to describe the spectrum of neurological disease in hospitalised COVID-19 patients; characterise clinical outcomes; and investigate factors associated with a poor outcome., Methods: We conducted an individual patient data (IPD) meta-analysis of hospitalised patients with neurological COVID-19 disease, using standard case definitions. We invited authors of studies from the first pandemic wave, plus clinicians in the Global COVID-Neuro Network with unpublished data, to contribute. We analysed features associated with poor outcome (moderate to severe disability or death, 3 to 6 on the modified Rankin Scale) using multivariable models., Results: We included 83 studies (31 unpublished) providing IPD for 1979 patients with COVID-19 and acute new-onset neurological disease. Encephalopathy (978 [49%] patients) and cerebrovascular events (506 [26%]) were the most common diagnoses. Respiratory and systemic symptoms preceded neurological features in 93% of patients; one third developed neurological disease after hospital admission. A poor outcome was more common in patients with cerebrovascular events (76% [95% CI 67-82]), than encephalopathy (54% [42-65]). Intensive care use was high (38% [35-41]) overall, and also greater in the cerebrovascular patients. In the cerebrovascular, but not encephalopathic patients, risk factors for poor outcome included breathlessness on admission and elevated D-dimer. Overall, 30-day mortality was 30% [27-32]. The hazard of death was comparatively lower for patients in the WHO European region., Interpretation: Neurological COVID-19 disease poses a considerable burden in terms of disease outcomes and use of hospital resources from prolonged intensive care and inpatient admission; preliminary data suggest these may differ according to WHO regions and country income levels. The different risk factors for encephalopathy and stroke suggest different disease mechanisms which may be amenable to intervention, especially in those who develop neurological symptoms after hospital admission., Competing Interests: TS is part of the Data Safety Monitoring Committee of a study to evaluate the safety and immunogenicity of a candidate Ebola Vaccine in children - the GSK3390107A (ChAd3 EBO-Z) vaccine; he is a panel member of Covid-19 Vaccine Benefit Risk Expert Working Group for the Medicines and Healthcare Regulatory Agency (UK); he is a member of COVID-19 Therapeutics Advisory Panel for the UK Department of Health & Social Care; he is the Chair/Co-Chair of the COVID-19 Rapid Response and Rolling Funding Initiatives, which supported the development of the Oxford-AstraZeneca Covid-19 vaccine. In addition, Dr. Solomon has a diagnostic test for bacterial meningitis, based on a blood test, filed for patent pending.
- Published
- 2022
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22. Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms.
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Gerkin RC, Ohla K, Veldhuizen MG, Joseph PV, Kelly CE, Bakke AJ, Steele KE, Farruggia MC, Pellegrino R, Pepino MY, Bouysset C, Soler GM, Pereda-Loth V, Dibattista M, Cooper KW, Croijmans I, Di Pizio A, Ozdener MH, Fjaeldstad AW, Lin C, Sandell MA, Singh PB, Brindha VE, Olsson SB, Saraiva LR, Ahuja G, Alwashahi MK, Bhutani S, D'Errico A, Fornazieri MA, Golebiowski J, Dar Hwang L, Öztürk L, Roura E, Spinelli S, Whitcroft KL, Faraji F, Fischmeister FPS, Heinbockel T, Hsieh JW, Huart C, Konstantinidis I, Menini A, Morini G, Olofsson JK, Philpott CM, Pierron D, Shields VDC, Voznessenskaya VV, Albayay J, Altundag A, Bensafi M, Bock MA, Calcinoni O, Fredborg W, Laudamiel C, Lim J, Lundström JN, Macchi A, Meyer P, Moein ST, Santamaría E, Sengupta D, Rohlfs Dominguez P, Yanik H, Hummel T, Hayes JE, Reed DR, Niv MY, Munger SD, and Parma V
- Subjects
- Adult, Anosmia etiology, COVID-19 complications, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Prognosis, SARS-CoV-2 isolation & purification, Self Report, Smell, Anosmia diagnosis, COVID-19 diagnosis
- 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., (© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
- Published
- 2021
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23. The best COVID-19 predictor is recent smell loss: a cross-sectional study.
- Author
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Gerkin RC, Ohla K, Veldhuizen MG, Joseph PV, Kelly CE, Bakke AJ, Steele KE, Farruggia MC, Pellegrino R, Pepino MY, Bouysset C, Soler GM, Pereda-Loth V, Dibattista M, Cooper KW, Croijmans I, Di Pizio A, Ozdener MH, Fjaeldstad AW, Lin C, Sandell MA, Singh PB, Brindha VE, Olsson SB, Saraiva LR, Ahuja G, Alwashahi MK, Bhutani S, D'Errico A, Fornazieri MA, Golebiowski J, Hwang LD, Öztürk L, Roura E, Spinelli S, Whitcroft KL, Faraji F, Fischmeister FPS, Heinbockel T, Hsieh JW, Huart C, Konstantinidis I, Menini A, Morini G, Olofsson JK, Philpott CM, Pierron D, Shields VDC, Voznessenskaya VV, Albayay J, Altundag A, Bensafi M, Bock MA, Calcinoni O, Fredborg W, Laudamiel C, Lim J, Lundström JN, Macchi A, Meyer P, Moein ST, Santamaría E, Sengupta D, Domínguez PP, Yanık H, Boesveldt S, de Groot JHB, Dinnella C, Freiherr J, Laktionova T, Mariño S, Monteleone E, Nunez-Parra A, Abdulrahman O, Ritchie M, Thomas-Danguin T, Walsh-Messinger J, Al Abri R, Alizadeh R, Bignon E, Cantone E, Cecchini MP, Chen J, Guàrdia MD, Hoover KC, Karni N, Navarro M, Nolden AA, Mazal PP, Rowan NR, Sarabi-Jamab A, Archer NS, Chen B, Di Valerio EA, Feeney EL, Frasnelli J, Hannum M, Hopkins C, Klein H, Mignot C, Mucignat C, Ning Y, Ozturk EE, Peng M, Saatci O, Sell EA, Yan CH, Alfaro R, Cecchetto C, Coureaud G, Herriman RD, Justice JM, Kaushik PK, Koyama S, Overdevest JB, Pirastu N, Ramirez VA, Roberts SC, Smith BC, Cao H, Wang H, Balungwe P, Baguma M, Hummel T, Hayes JE, Reed DR, Niv MY, Munger SD, and Parma V
- Abstract
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
- Published
- 2020
- Full Text
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