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32 results on '"Cooper, Keiland W."'

1. Granger Causality for Mixed Time Series Generalized Linear Models: A Case Study on Multimodal Brain Connectivity

Author

Piancastelli, Luiza S. C., Barreto-Souza, Wagner, Fortin, Norbert J., Cooper, Keiland W., and Ombao, Hernando

Subjects
Statistics - Methodology, Statistics - Applications, Statistics - Computation
Abstract

This paper is motivated by studies in neuroscience experiments to understand interactions between nodes in a brain network using different types of data modalities that capture different distinct facets of brain activity. To assess Granger-causality, we introduce a flexible framework through a general class of models that accommodates mixed types of data (binary, count, continuous, and positive components) formulated in a generalized linear model (GLM) fashion. Statistical inference for causality is performed based on both frequentist and Bayesian approaches, with a focus on the latter. Here, we develop a procedure for conducting inference through the proposed Bayesian mixed time series model. By introducing spike and slab priors for some parameters in the model, our inferential approach guides causality order selection and provides proper uncertainty quantification. The proposed methods are then utilized to study the rat spike train and local field potentials (LFP) data recorded during the olfaction working memory task. The proposed methodology provides critical insights into the causal relationship between the rat spiking activity and LFP spectral power. Specifically, power in the LFP beta band is predictive of spiking activity 300 milliseconds later, providing a novel analytical tool for this area of emerging interest in neuroscience and demonstrating its usefulness and flexibility in the study of causality in general., Comment: Paper submitted for publication

Published
2024

2. A Model-Agnostic Graph Neural Network for Integrating Local and Global Information

Author

Zhou, Wenzhuo, Qu, Annie, Cooper, Keiland W., Fortin, Norbert, and Shahbaba, Babak

Subjects
Statistics - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Graph Neural Networks (GNNs) have achieved promising performance in a variety of graph-focused tasks. Despite their success, however, existing GNNs suffer from two significant limitations: a lack of interpretability in results due to their black-box nature, and an inability to learn representations of varying orders. To tackle these issues, we propose a novel \textbf{M}odel-\textbf{a}gnostic \textbf{G}raph Neural \textbf{Net}work (MaGNet) framework, which is able to effectively integrate information of various orders, extract knowledge from high-order neighbors, and provide meaningful and interpretable results by identifying influential compact graph structures. In particular, MaGNet consists of two components: an estimation model for the latent representation of complex relationships under graph topology, and an interpretation model that identifies influential nodes, edges, and node features. Theoretically, we establish the generalization error bound for MaGNet via empirical Rademacher complexity, and demonstrate its power to represent layer-wise neighborhood mixing. We conduct comprehensive numerical studies using simulated data to demonstrate the superior performance of MaGNet in comparison to several state-of-the-art alternatives. Furthermore, we apply MaGNet to a real-world case study aimed at extracting task-critical information from brain activity data, thereby highlighting its effectiveness in advancing scientific research.

Published
2023

3. Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events

Author

Shahbaba, Babak, Li, Lingge, Agostinelli, Forest, Saraf, Mansi, Cooper, Keiland W, Haghverdian, Derenik, Elias, Gabriel A, Baldi, Pierre, and Fortin, Norbert J

Subjects
Mental Health, Neurosciences, 2.1 Biological and endogenous factors, Aetiology, Acoustic Stimulation, Animals, Auditory Perception, Electrodes, Implanted, Hippocampus, Machine Learning, Male, Memory, Models, Animal, Nerve Net, Odorants, Olfactory Perception, Rats, Stereotaxic Techniques, Time Factors
Abstract

The hippocampus is critical to the temporal organization of our experiences. Although this fundamental capacity is conserved across modalities and species, its underlying neuronal mechanisms remain unclear. Here we recorded hippocampal activity as rats remembered an extended sequence of nonspatial events unfolding over several seconds, as in daily life episodes in humans. We then developed statistical machine learning methods to analyze the ensemble activity and discovered forms of sequential organization and coding important for order memory judgments. Specifically, we found that hippocampal ensembles provide significant temporal coding throughout nonspatial event sequences, differentiate distinct types of task-critical information sequentially within events, and exhibit theta-associated reactivation of the sequential relationships among events. We also demonstrate that nonspatial event representations are sequentially organized within individual theta cycles and precess across successive cycles. These findings suggest a fundamental function of the hippocampal network is to encode, preserve, and predict the sequential order of experiences.

Published
2022

4. More than smell – COVID-19 is associated with severe impairment of smell, taste, and chemesthesis

Author

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, Domínguez, Paloma Rohlfs, 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, KL, 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 DC, Faraji, Farhoud, Santamaría, Enrique, Fredborg, William EA, 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 HB, Klein, Hadar, Okamoto, Masako, Singh, Preet Bano, Hsieh, Julien W, Reed, Danielle R, Hummel, Thomas, Munger, Steven D, Hayes, John E, Abdulrahman, Olagunju, Dalton, Pamela, Yan, Carol H, Voznessenskaya, Vera V, Chen, Jingguo, Sell, Elizabeth A, and Walsh-Messinger, Julie

Subjects
Neurosciences, Dental/Oral and Craniofacial Disease, Clinical Research, Adult, Aged, Betacoronavirus, COVID-19, Coronavirus Infections, Female, Humans, Male, Middle Aged, Olfaction Disorders, Pandemics, Pneumonia, Viral, SARS-CoV-2, Self Report, Smell, Somatosensory Disorders, Surveys and Questionnaires, Taste, Taste Disorders, Young Adult, head and neck surgery, olfaction, somatosensation, GCCR Group Author, Biological Sciences, Neurology & Neurosurgery
Abstract

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.

Published
2020

5. Possible roles of phytochemicals with bioactive properties in the prevention of and recovery from COVID-19.

Author

Sachiko Koyama, Joseph, Paule V., Shields, Vonnie D. C., Heinbockel, Thomas, Adhikari, Poonam, Kaur, Rishemjit, Kumar, Ritesh, Alizadeh, Rafieh, Bhutani, Surabhi, Calcinoni, Orietta, Mucignat-Caretta, Carla, Jingguo Chen, Cooper, Keiland W., Das, Subha R., Rohlfs Domínguez, Paloma, Guàrdia, Maria Dolors, Klyuchnikova, Maria A., Laktionova, Tatiana K., Eri Mori, and Namjoo, Zeinab

Published
2024
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6. Possible roles of phytochemicals with bioactive properties in the prevention of and recovery from COVID-19

Author

Koyama, Sachiko, primary, Shields, Vonnie D.C., additional, Heinbockel, Thomas, additional, Joseph, Paule V., additional, Adhikari, Poonam, additional, Kaur, Rishemjit, additional, Kumar, Ritesh, additional, Alizadeh, Rafieh, additional, Bhutani, Surabhi, additional, Calcinoni, Orietta, additional, Mucignat-Caretta, Carla, additional, Chen, Jingguo, additional, Cooper, Keiland W., additional, Das, Subha R., additional, Domínguez, Paloma Rohlfs, additional, Guàrdia, Maria Dolors, additional, Klyuchnikova, Maria A., additional, Laktionova, Tatiana K., additional, Mori, Eri, additional, Namjoo, Zeinab, additional, Nguyen, Ha, additional, Özdener, Mehmet Hakan, additional, Parsa, Shima, additional, Poyraz, Elif Özdener, additional, Strub, Daniel Jan, additional, Taghizadeh-Hesary, Farzad, additional, Ueha, Rumi, additional, and Voznessenskaya, Vera V., additional

Published
2024
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7. Smell and taste changes are early indicators of the COVID-19 pandemic and political decision effectiveness

Author

Pierron, Denis, Pereda-Loth, Veronica, Mantel, Marylou, Moranges, Maëlle, Bignon, Emmanuelle, Alva, Omar, Kabous, Julie, Heiske, Margit, Pacalon, Jody, David, Renaud, Dinnella, Caterina, Spinelli, Sara, Monteleone, Erminio, Farruggia, Michael C., Cooper, Keiland W., Sell, Elizabeth A., Thomas-Danguin, Thierry, Bakke, Alyssa J., Parma, Valentina, Hayes, John E., Letellier, Thierry, Ferdenzi, Camille, Golebiowski, Jérôme, and Bensafi, Moustafa

Published
2020
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8. Covid-19 affects taste independent of taste-smell confusions : Results from a combined chemosensory home test and online survey from a large global cohort

Author

Nguyen, Ha, Albayay, Javier, Höchenberger, Richard, Bhutani, Surabhi, Boesveldt, Sanne, Busch, Niko A., Croijmans, Ilja, Cooper, Keiland W., De Groot, Jasper H.B., Farruggia, Michael C., Fjaeldstad, Alexander W., Hayes, John E., Hummel, Thomas, Joseph, Paule V., Laktionova, Tatiana K., Thomas-Danguin, Thierry, Veldhuizen, Maria G., Voznessenskaya, Vera V., Parma, Valentina, Pepino, M.Y., Ohla, Kathrin, Nguyen, Ha, Albayay, Javier, Höchenberger, Richard, Bhutani, Surabhi, Boesveldt, Sanne, Busch, Niko A., Croijmans, Ilja, Cooper, Keiland W., De Groot, Jasper H.B., Farruggia, Michael C., Fjaeldstad, Alexander W., Hayes, John E., Hummel, Thomas, Joseph, Paule V., Laktionova, Tatiana K., Thomas-Danguin, Thierry, Veldhuizen, Maria G., Voznessenskaya, Vera V., Parma, Valentina, Pepino, M.Y., and Ohla, Kathrin

Abstract

People often confuse smell loss with taste loss, so it is unclear how much gustatory function is reduced in patients self-reporting taste loss. Our pre-registered cross-sectional study design included an online survey in 12 languages with instructions for self-Administering chemosensory tests with 10 household items. Between June 2020 and March 2021, 10,953 individuals participated. Of these, 5,225 self-reported a respiratory illness and were grouped based on their reported COVID test results: COVID-positive (COVID+, N = 3,356), COVID-negative (COVID-, N = 602), and COVID unknown for those waiting for a test result (COVID?, N = 1,267). The participants who reported no respiratory illness were grouped by symptoms: sudden smell/taste changes (STC, N = 4,445), other symptoms excluding smell or taste changes (OthS, N = 832), and no symptoms (NoS, N = 416). Taste, smell, and oral irritation intensities and self-Assessed abilities were rated on visual analog scales. Compared to the NoS group, COVID+ was associated with a 21% reduction in taste (95% confidence interval (CI): 15-28%), 47% in smell (95% CI: 37-56%), and 17% in oral irritation (95% CI: 10-25%) intensity. There were medium to strong correlations between perceived intensities and self-reported abilities (r = 0.84 for smell, r = 0.68 for taste, and r = 0.37 for oral irritation). Our study demonstrates that COVID-19-positive individuals report taste dysfunction when self-Tested with stimuli that have little to none olfactory components. Assessing the smell and taste intensity of household items is a promising, cost-effective screening tool that complements self-reports and may help to disentangle taste loss from smell loss. However, it does not replace standardized validated psychophysical tests.

Published
2023

10. Covid-19 affects taste independently of smell: results from a combined chemosensory home test and online survey from a global cohort (N=10,953)

Author

Nguyen, Ha, primary, Albayay, Javier, additional, Höchenberger, Richard, additional, Bhutani, Surabhi, additional, Boesveldt, Sanne, additional, Busch, Niko A., additional, Croijmans, Ilja, additional, Cooper, Keiland W., additional, de Groot, Jasper H. B., additional, Farruggia, Michael C., additional, Fjaeldstad, Alexander W., additional, Hayes, John E., additional, Hummel, Thomas, additional, Joseph, Paule V., additional, Laktionova, Tatiana K., additional, Thomas-Danguin, Thierry, additional, Veldhuizen, Maria G., additional, Voznessenskaya, Vera V., additional, Parma, Valentina, additional, Pepino, M. Yanina, additional, and Ohla, Kathrin, additional

Published
2023
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11. Covid-19 affects taste independent of taste–smell confusions: results from a combined chemosensory home test and online survey from a large global cohort

Author

Nguyen, Ha, primary, Albayay, Javier, additional, Höchenberger, Richard, additional, Bhutani, Surabhi, additional, Boesveldt, Sanne, additional, Busch, Niko A, additional, Croijmans, Ilja, additional, Cooper, Keiland W, additional, de Groot, Jasper H B, additional, Farruggia, Michael C, additional, Fjaeldstad, Alexander W, additional, Hayes, John E, additional, Hummel, Thomas, additional, Joseph, Paule V, additional, Laktionova, Tatiana K, additional, Thomas-Danguin, Thierry, additional, Veldhuizen, Maria G, additional, Voznessenskaya, Vera V, additional, Parma, Valentina, additional, Pepino, M Yanina, additional, and Ohla, Kathrin, additional

Published
2023
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12. A follow-up on quantitative and qualitative olfactory dysfunction and other symptoms in patients recovering from COVID-19 smell loss

Author

Ohla, Kathrin, Veldhuizen, Maria G., Green, Tomer, Hannum, Mackenzie E., Bakke, Alyssa J., Moein, Shima T., Tognetti, Arnaud, Postma, Elbrich M., Pellegrino, Robert, Hwang, Daniel Liang Dar, Albayay, Javier, Koyama, Sachiko, Nolden, Alissa A., Thomas-Danguin, Thierry, Mucignat-Caretta, Carla, Menger, Nick S., Croijmans, Ilja, Öztürk, Lina, Yanık, Hüseyin, Pierron, Denis, Pereda-Loth, Veronica, Nunez-Parra, Alexia, Martinez Pineda, Aldair M., Gillespie, David, Farruggia, Michael C., Cecchetto, Cinzia, Fornazieri, Marco A., Philpott, Carl, Voznessenskaya, Vera, Cooper, Keiland W., Dominguez, Paloma Rohlfs, Calcinoni, Orietta, de Groot, Jasper, Boesveldt, Sanne, Bhutani, Surabhi, Weir, Elisabeth M., Exten, Cara, Joseph, Paule V., Parma, Valentina, Hayes, John E., Niv, Masha Y., Ohla, Kathrin, Veldhuizen, Maria G., Green, Tomer, Hannum, Mackenzie E., Bakke, Alyssa J., Moein, Shima T., Tognetti, Arnaud, Postma, Elbrich M., Pellegrino, Robert, Hwang, Daniel Liang Dar, Albayay, Javier, Koyama, Sachiko, Nolden, Alissa A., Thomas-Danguin, Thierry, Mucignat-Caretta, Carla, Menger, Nick S., Croijmans, Ilja, Öztürk, Lina, Yanık, Hüseyin, Pierron, Denis, Pereda-Loth, Veronica, Nunez-Parra, Alexia, Martinez Pineda, Aldair M., Gillespie, David, Farruggia, Michael C., Cecchetto, Cinzia, Fornazieri, Marco A., Philpott, Carl, Voznessenskaya, Vera, Cooper, Keiland W., Dominguez, Paloma Rohlfs, Calcinoni, Orietta, de Groot, Jasper, Boesveldt, Sanne, Bhutani, Surabhi, Weir, Elisabeth M., Exten, Cara, Joseph, Paule V., Parma, Valentina, Hayes, John E., and Niv, Masha Y.

Abstract

Background: Sudden smell loss is a specific early symptom of COVID-19, which, prior to the emergence of Omicron, had estimated prevalence of ~40% to 75%. Chemosensory impairments affect physical and mental health, and dietary behavior. Thus, it is critical to understand the rate and time course of smell recovery. The aim of this cohort study was to characterize smell function and recovery up to 11 months post COVID-19 infection. Methods: This longitudinal survey of individuals suffering COVID-19-related smell loss assessed disease symptoms and gustatory and olfactory function. Participants (n=12,313) who completed an initial survey (S1) about respiratory symptoms, chemosensory function and COVID-19 diagnosis between April and September 2020, were invited to complete a follow-up survey (S2). Between September 2020 and February 2021, 27.5% participants responded (n=3,386), with 1,468 being diagnosed with COVID-19 and suffering co-occurring smell and taste loss at the beginning of their illness. Results: At follow-up (median time since COVID-19 onset ~200 days), ~60% of women and ~48% of men reported less than 80% of their pre-illness smell ability. Taste typically recovered faster than smell, and taste loss rarely persisted if smell recovered. Prevalence of parosmia and phantosmia was ~10% of participants in S1 and increased substantially in S2: ~47% for parosmia and ~25% for phantosmia. Persistent smell impairment was associated with more symptoms overall, suggesting it may be a key marker of long-COVID illness. The ability to smell during COVID-19 was rated slightly lower by those who did not eventually recover their pre-illness ability to smell at S2. Conclusions: While smell ability improves for many individuals who lost it during acute COVID-19, the prevalence of parosmia and phantosmia increases substantially over time. Olfactory dysfunction is associated with broader persistent symptoms of COVID-19, and may last for many months following acute COVID-19. Taste l

Published
2022

13. Mere end lugtesans - COVID-19 er associeret med svær påvirkning af lugtesansen, smagssansen og mundfølelsen

Author

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

Subjects
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.

Published
2020

14. Corrigendum to: More than smell: COVID-19 is associated with severe impairment of smell, taste, and chemesthesis

Author

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.

Published
2021

15. Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms.

Author

UCL - SSS/IONS/NEUR - Clinical Neuroscience, UCL - (SLuc) Service d'oto-rhino-laryngologie, 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, Mehmet 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, Dar Hwang, Liang, 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, Rohlfs Dominguez, Paloma, Yanik, Hüseyin, Hummel, Thomas, Hayes, John E, Reed, Danielle R, Niv, Masha Y, Munger, Steven D, Parma, Valentina, GCCR Group Author, UCL - SSS/IONS/NEUR - Clinical Neuroscience, UCL - (SLuc) Service d'oto-rhino-laryngologie, 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, Mehmet 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, Dar Hwang, Liang, 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, Rohlfs Dominguez, Paloma, Yanik, Hüseyin, Hummel, Thomas, Hayes, John E, Reed, Danielle R, Niv, Masha Y, Munger, Steven D, Parma, Valentina, and GCCR Group Author

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.

Published
2021

16. Corrigendum to: More Than Smell-COVID-19 Is Associated With Severe Impairment of Smell, Taste, and Chemesthesis.

Author

UCL - SSS/IONS - Institute of NeuroScience, UCL - SSS/IONS/NEUR - Clinical Neuroscience, UCL - (SLuc) Service d'oto-rhino-laryngologie, 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, GCCR Group Author, Reed, Danielle R, Hummel, Thomas, Munger, Steven D, Hayes, John E, UCL - SSS/IONS - Institute of NeuroScience, UCL - SSS/IONS/NEUR - Clinical Neuroscience, UCL - (SLuc) Service d'oto-rhino-laryngologie, 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, GCCR Group Author, Reed, Danielle R, Hummel, Thomas, Munger, Steven D, and Hayes, John E

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.

Published
2021

17. Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms

Author

Gerkin, Richard C., Ohla, Kathrin, Veldhuizen, Maria G., Joseph, Paule, Kelly, Christine E., Bakke, Alyssa J., Steele, Kimberley E., Farruggia, Michael C., Pellegrino, Robert, Pepino, Marta Y., Bouysset, Cedric, Soler, Graciela M., Pereda-Loth, Veronica, Dibattista, Michele, Cooper, Keiland W., Croijmans, Ilja, Di Pizio, Antonella, Ozdener, Mehmet 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, Jerome, Hwang, Liang Dar, Ozturk, 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, Maria Adelaida, Calcinoni, Orietta, Fredborg, William, Laudamiel, Christophe, Lim, Juyun, Lundstrom, Johan N., Macchi, Alberto, Meyer, Pablo, Moein, Shima T., Santamaria, Enrique, Sengupta, Debarka, Dominguez, Paloma Rohlfs, Yanik, Huseyin, Hummel, Thomas, Hayes, John E., Reed, Danielle R., Niv, Masha Y., Munger, Steven D., Parma, Valentina, Gerkin, Richard C., Ohla, Kathrin, Veldhuizen, Maria G., Joseph, Paule, Kelly, Christine E., Bakke, Alyssa J., Steele, Kimberley E., Farruggia, Michael C., Pellegrino, Robert, Pepino, Marta Y., Bouysset, Cedric, Soler, Graciela M., Pereda-Loth, Veronica, Dibattista, Michele, Cooper, Keiland W., Croijmans, Ilja, Di Pizio, Antonella, Ozdener, Mehmet 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, Jerome, Hwang, Liang Dar, Ozturk, 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, Maria Adelaida, Calcinoni, Orietta, Fredborg, William, Laudamiel, Christophe, Lim, Juyun, Lundstrom, Johan N., Macchi, Alberto, Meyer, Pablo, Moein, Shima T., Santamaria, Enrique, Sengupta, Debarka, Dominguez, Paloma Rohlfs, Yanik, Huseyin, Hummel, Thomas, Hayes, John E., Reed, Danielle R., Niv, Masha Y., Munger, Steven D., and Parma, Valentina

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.

Published
2021
Full Text
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18. Recent smell loss is the best predictor of COVID-19:a preregistered, cross-sectional study

Author

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, and Albayay, Javier

Subjects
COVID-19, Lugtesans
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

19. Recent smell loss is the best predictor of COVID-19: a preregistered, cross-sectional study

Author

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

Published
2020

20. More Than Smell-COVID-19 Is Associated With Severe Impairment of Smell, Taste, and Chemesthesis.

Author

UCL - SSS/IONS - Institute of NeuroScience, UCL - SSS/IONS/NEUR - Clinical Neuroscience, UCL - (SLuc) Service d'oto-rhino-laryngologie, 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, GCCR Group Author, Reed, Danielle R, Hummel, Thomas, Munger, Steven D, Hayes, John E, UCL - SSS/IONS - Institute of NeuroScience, UCL - SSS/IONS/NEUR - Clinical Neuroscience, UCL - (SLuc) Service d'oto-rhino-laryngologie, 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, GCCR Group Author, Reed, Danielle R, Hummel, Thomas, Munger, Steven D, and Hayes, John E

Abstract

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.

Published
2020

21. COVID-19 and the Chemical Senses: Supporting Players Take Center Stage

Author

Cooper, Keiland W., primary, Brann, David H., additional, Farruggia, Michael C., additional, Bhutani, Surabhi, additional, Pellegrino, Robert, additional, Tsukahara, Tatsuya, additional, Weinreb, Caleb, additional, Joseph, Paule V., additional, Larson, Eric D., additional, Parma, Valentina, additional, Albers, Mark W., additional, Barlow, Linda A., additional, Datta, Sandeep Robert, additional, and Di Pizio, Antonella, additional

Published
2020
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25. A Model-Agnostic Graph Neural Network for Integrating Local and Global Information.

Author

Zhou, Wenzhuo, Qu, Annie, Cooper, Keiland W., Fortin, Norbert, and Shahbaba, Babak

Subjects
*GRAPH neural networks, *REPRESENTATIONS of graphs, *MAGNETS, *NEIGHBORHOODS, *GENERALIZATION
Abstract

AbstractGraph Neural Networks (GNNs) have achieved promising performance in a variety of graph-focused tasks. Despite their success, however, existing GNNs suffer from two significant limitations: a lack of interpretability in their results due to their black-box nature, and an inability to learn representations of varying orders. To tackle these issues, we propose a novel Model-agnostic Graph Neural Network (MaGNet) framework, which is able to effectively integrate information of various orders, extract knowledge from high-order neighbors, and provide meaningful and interpretable results by identifying influential compact graph structures. In particular, MaGNet consists of two components: an estimation model for the latent representation of complex relationships under graph topology, and an interpretation model that identifies influential nodes, edges, and node features. Theoretically, we establish the generalization error bound for MaGNet via empirical Rademacher complexity, and demonstrate its power to represent layer-wise neighborhood mixing. We conduct comprehensive numerical studies using simulated data to demonstrate the superior performance of MaGNet in comparison to several state-of-the-art alternatives. Furthermore, we apply MaGNet to a real-world case study aimed at extracting task-critical information from brain activity data, thereby highlighting its effectiveness in advancing scientific research. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms.

Author

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, Pizio, Antonella Di, Ozdener, Mehmet Hakan, Fjaeldstad, Alexander W, and Lin, Cailu

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. [ABSTRACT FROM AUTHOR]

Published
2021
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27. Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms

Author

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

Published
2020

28. Possible roles of phytochemicals with bioactive properties in the prevention of and recovery from COVID-19.

Author

Koyama S, Joseph PV, Shields VDC, Heinbockel T, Adhikari P, Kaur R, Kumar R, Alizadeh R, Bhutani S, Calcinoni O, Mucignat-Caretta C, Chen J, Cooper KW, Das SR, Rohlfs Domínguez P, Guàrdia MD, Klyuchnikova MA, Laktionova TK, Mori E, Namjoo Z, Nguyen H, Özdener MH, Parsa S, Özdener-Poyraz E, Strub DJ, Taghizadeh-Hesary F, Ueha R, and Voznessenskaya VV

Abstract

Introduction: There have been large geographical differences in the infection and death rates of COVID-19. Foods and beverages containing high amounts of phytochemicals with bioactive properties were suggested to prevent contracting and to facilitate recovery from COVID-19. The goal of our study was to determine the correlation of the type of foods/beverages people consumed and the risk reduction of contracting COVID-19 and the recovery from COVID-19., Methods: We developed an online survey that asked the participants whether they contracted COVID-19, their symptoms, time to recover, and their frequency of eating various types of foods/beverages. The survey was developed in 10 different languages., Results: The participants who did not contract COVID-19 consumed vegetables, herbs/spices, and fermented foods/beverages significantly more than the participants who contracted COVID-19. Among the six countries (India/Iran/Italy/Japan/Russia/Spain) with over 100 participants and high correspondence between the location of the participants and the language of the survey, in India and Japan the people who contracted COVID-19 showed significantly shorter recovery time, and greater daily intake of vegetables, herbs/spices, and fermented foods/beverages was associated with faster recovery., Conclusions: Our results suggest that phytochemical compounds included in the vegetables may have contributed in not only preventing contraction of COVID-19, but also accelerating their recovery., (Copyright © 2024 Koyama, Joseph, Shields, Heinbockel, Adhikari, Kaur, Kumar, Alizadeh, Bhutani, Calcinoni, Mucignat-Caretta, Chen, Cooper, Das, Rohlfs Domínguez, Guàrdia, Klyuchnikova, Laktionova, Mori, Namjoo, Nguyen, Özdener, Parsa, Özdener Poyraz, Strub, Taghizadeh-Hesary, Ueha and Voznessenskaya.)

Published
2024
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29. Giving a Voice to Patients With Smell Disorders Associated With COVID-19: Cross-Sectional Longitudinal Analysis Using Natural Language Processing of Self-Reports.

Author

Menger NS, Tognetti A, Farruggia MC, Mucignat C, Bhutani S, Cooper KW, Rohlfs Domínguez P, Heinbockel T, Shields VDC, D'Errico A, Pereda-Loth V, Pierron D, Koyama S, and Croijmans I

Subjects
Humans, Cross-Sectional Studies, Male, Female, Longitudinal Studies, Middle Aged, Adult, Aged, Young Adult, COVID-19 complications, COVID-19 epidemiology, Olfaction Disorders epidemiology, Olfaction Disorders etiology, Self Report, Natural Language Processing
Abstract

Background: Smell disorders are commonly reported with COVID-19 infection. The smell-related issues associated with COVID-19 may be prolonged, even after the respiratory symptoms are resolved. These smell dysfunctions can range from anosmia (complete loss of smell) or hyposmia (reduced sense of smell) to parosmia (smells perceived differently) or phantosmia (smells perceived without an odor source being present). Similar to the difficulty that people experience when talking about their smell experiences, patients find it difficult to express or label the symptoms they experience, thereby complicating diagnosis. The complexity of these symptoms can be an additional burden for patients and health care providers and thus needs further investigation., Objective: This study aims to explore the smell disorder concerns of patients and to provide an overview for each specific smell disorder by using the longitudinal survey conducted in 2020 by the Global Consortium for Chemosensory Research, an international research group that has been created ad hoc for studying chemosensory dysfunctions. We aimed to extend the existing knowledge on smell disorders related to COVID-19 by analyzing a large data set of self-reported descriptive comments by using methods from natural language processing., Methods: We included self-reported data on the description of changes in smell provided by 1560 participants at 2 timepoints (second survey completed between 23 and 291 days). Text data from participants who still had smell disorders at the second timepoint (long-haulers) were compared with the text data of those who did not (non-long-haulers). Specifically, 3 aims were pursued in this study. The first aim was to classify smell disorders based on the participants' self-reports. The second aim was to classify the sentiment of each self-report by using a machine learning approach, and the third aim was to find particular food and nonfood keywords that were more salient among long-haulers than those among non-long-haulers., Results: We found that parosmia (odds ratio [OR] 1.78, 95% CI 1.35-2.37; P<.001) as well as hyposmia (OR 1.74, 95% CI 1.34-2.26; P<.001) were more frequently reported in long-haulers than in non-long-haulers. Furthermore, a significant relationship was found between long-hauler status and sentiment of self-report (P<.001). Finally, we found specific keywords that were more typical for long-haulers than those for non-long-haulers, for example, fire, gas, wine, and vinegar., Conclusions: Our work shows consistent findings with those of previous studies, which indicate that self-reports, which can easily be extracted online, may offer valuable information to health care and understanding of smell disorders. At the same time, our study on self-reports provides new insights for future studies investigating smell disorders., (©Nick S Menger, Arnaud Tognetti, Michael C Farruggia, Carla Mucignat, Surabhi Bhutani, Keiland W Cooper, Paloma Rohlfs Domínguez, Thomas Heinbockel, Vonnie D C Shields, Anna D'Errico, Veronica Pereda-Loth, Denis Pierron, Sachiko Koyama, Ilja Croijmans. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 10.05.2024.)

Published
2024
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30. Covid-19 affects taste independently of smell: results from a combined chemosensory home test and online survey from a global cohort (N=10,953).

Author

Nguyen H, Albayay J, Höchenberger R, Bhutani S, Boesveldt S, Busch NA, Croijmans I, Cooper KW, de Groot JHB, Farruggia MC, Fjaeldstad AW, Hayes JE, Hummel T, Joseph PV, Laktionova TK, Thomas-Danguin T, Veldhuizen MG, Voznessenskaya VV, Parma V, Pepino MY, and Ohla K

Abstract

People often confuse smell loss with taste loss, so it is unclear how much gustatory function is reduced in patients self-reporting taste loss. Our pre-registered cross-sectional study design included an online survey in 12 languages with instructions for self-administering chemosensory tests with ten household items. Between June 2020 and March 2021, 10,953 individuals participated. Of these, 3,356 self-reported a positive and 602 a negative COVID-19 diagnosis (COVID+ and COVID-, respectively); 1,267 were awaiting test results (COVID?). The rest reported no respiratory illness and were grouped by symptoms: sudden smell/taste changes (STC, N=4,445), other symptoms excluding smell or taste loss (OthS, N=832), and no symptoms (NoS, N=416). Taste, smell, and oral irritation intensities and self-assessed abilities were rated on visual analog scales. Compared to the NoS group, COVID+ was associated with a 21% reduction in taste (95% Confidence Interval (CI): 15-28%), 47% in smell (95%-CI: 37-56%), and 17% in oral irritation (95%-CI: 10-25%) intensity. In all groups, perceived intensity of smell (r=0.84), taste (r=0.68), and oral irritation (r=0.37) was correlated. Our findings suggest most reports of taste dysfunction with COVID-19 were genuine and not due to misinterpreting smell loss as taste loss (i.e., a classical taste-flavor confusion). Assessing smell and taste intensity of household items is a promising, cost-effective screening tool that complements self-reports and helps to disentangle taste loss from smell loss. However, it does not replace standardized validated psychophysical tests.

Published
2023
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31. The best COVID-19 predictor is recent smell loss: a cross-sectional study.

Author

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
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32. Corona Viruses and the Chemical Senses: Past, Present, and Future.

Author

Pellegrino R, Cooper KW, Di Pizio A, Joseph PV, Bhutani S, and Parma V

Abstract

A wealth of rapidly evolving reports suggests that olfaction and taste disturbances may be manifestations of the novel COVID-19 pandemic. While otolaryngological societies worldwide have started to consider chemosensory evaluation as a screening tool for COVID-19 infection, the true nature of the relationship between the changes in chemosensory ability and COVID-19 is unclear. Our goal with this review is to provide a brief overview of published and archived literature, as well as the anecdotal reports and social trends related to this topic up to April 29, 2020. We also aim to draw parallels between the clinical/chemosensory symptomology reported in association to past coronavirus pandemics (such as SARS and MERS) and the novel COVID-19. This review also highlights current evidence on persistent chemosensory disturbances after the infection has resolved. Overall, our analysis pinpoints the need for further studies: 1) to better quantify olfaction and taste disturbances associated with SARS-CoV-2 infection, compared to those of other viral and respiratory infections, 2) to understand the relation between smell, taste, and chemesthesis disturbances in COVID-19, and 3) to understand how persistent are these disturbances after the infection has resolved., (© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Published
2020
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