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Symptom clusters in COVID-19 : A potential clinical prediction tool from the COVID Symptom Study app

Sudre, C. H. (författare)
School of Biomedical Engineering & Imaging Sciences, King's College London, Westminster Bridge Road, London SE17EH, UK; MRC Unit for Lifelong Health and Ageing at UCL, University College London, London WC1E 7BH, UK; Centre for Medical Image Computing, Department of Computer Science, University College London, London UK
Lee, K. A. (författare)
Department of Twin Research and Genetic Epidemiology King's College London, Westminster Bridge Road, London SE17EH, UK
Lochlainn, M. N. (författare)
Department of Twin Research and Genetic Epidemiology King's College London, Westminster Bridge Road, London SE17EH, UK
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Varsavsky, T. (författare)
School of Biomedical Engineering & Imaging Sciences, King’s College London, Westminster Bridge Road, London SE17EH, UK
Murray, B. (författare)
School of Biomedical Engineering & Imaging Sciences, King’s College London, Westminster Bridge Road, London SE17EH, UK
Graham, M. S. (författare)
School of Biomedical Engineering & Imaging Sciences, King’s College London, Westminster Bridge Road, London SE17EH, UK
Menni, C. (författare)
Department of Twin Research and Genetic Epidemiology King’s College London, Westminster Bridge Road, London SE17EH, UK
Modat, M. (författare)
School of Biomedical Engineering & Imaging Sciences, King’s College London, Westminster Bridge Road, London SE17EH, UK
Bowyer, R. C. E. (författare)
Department of Twin Research and Genetic Epidemiology King’s College London, Westminster Bridge Road, London SE17EH, UK
Nguyen, L. H. (författare)
Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, MA, USA
Drew, D. A. (författare)
Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, MA, USA
Joshi, A. D. (författare)
Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, MA, USA
Ma, W. (författare)
Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, MA, USA
Guo, C. G. (författare)
Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, MA, USA
Lo, C. H. (författare)
Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, MA, USA
Ganesh, S. (författare)
Zoe Global Limited, 164 Westminster Bridge Road, London SE1 7RW, UK
Buwe, A. (författare)
Zoe Global Limited, 164 Westminster Bridge Road, London SE1 7RW, UK
Pujol, J. C. (författare)
Zoe Global Limited, 164 Westminster Bridge Road, London SE1 7RW, UK
du Cadet, J. L. (författare)
Zoe Global Limited, 164 Westminster Bridge Road, London SE1 7RW, UK
Visconti, A. (författare)
Department of Twin Research and Genetic Epidemiology King’s College London, Westminster Bridge Road, London SE17EH, UK
Freidin, M. B. (författare)
Department of Twin Research and Genetic Epidemiology King’s College London, Westminster Bridge Road, London SE17EH, UK
El-Sayed Moustafa, J. S. (författare)
Department of Twin Research and Genetic Epidemiology King’s College London, Westminster Bridge Road, London SE17EH, UK
Gomez, Maria F. (författare)
Lund University,Lunds universitet,Diabetiska komplikationer,Forskargrupper vid Lunds universitet,Diabetic Complications,Lund University Research Groups
Davies, R. (författare)
Zoe Global Limited, 164 Westminster Bridge Road, London SE1 7RW, UK
Gomez, M. F. (författare)
Department of Clinical Sciences, Lund University Diabetes Centre, Malmö, Sweden
Fall, Tove, 1979- (författare)
Lund University,Lunds universitet,Genomik, diabetes och endokrinologi,Forskargrupper vid Lunds universitet,Genomics, Diabetes and Endocrinology,Lund University Research Groups
Cardoso, M. J. (författare)
School of Biomedical Engineering & Imaging Sciences, King’s College London, Westminster Bridge Road, London SE17EH, UK
Wolf, J. (författare)
Zoe Global Limited, 164 Westminster Bridge Road, London SE1 7RW, UK
Franks, Paul W. (författare)
Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,King's College London
Chan, A. T. (författare)
Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, MA, USA
Spector, T. D. (författare)
Department of Twin Research and Genetic Epidemiology King’s College London, Westminster Bridge Road, London SE17EH, UK
Steves, C. J. (författare)
Department of Twin Research and Genetic Epidemiology King’s College London, Westminster Bridge Road, London SE17EH, UK
Ourselin, S. (författare)
School of Biomedical Engineering & Imaging Sciences, King’s College London, Westminster Bridge Road, London SE17EH, UK
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 (creator_code:org_t)
American Association for the Advancement of Science (AAAS), 2021
2021
Engelska.
Ingår i: Science Advances. - : American Association for the Advancement of Science (AAAS). - 2375-2548. ; 7:12
Relaterad länk:
https://doi.org/10.1...
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https://uu.diva-port... (primary) (Raw object)
https://www.science....
http://dx.doi.org/10... (free)
https://urn.kb.se/re...
https://doi.org/10.1...
https://lup.lub.lu.s...
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  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • As no one symptom can predict disease severity or the need for dedicated medical support in coronavirus disease 2019 (COVID-19), we asked whether documenting symptom time series over the first few days informs outcome. Unsupervised time series clustering over symptom presentation was performed on data collected from a training dataset of completed cases enlisted early from the COVID Symptom Study Smartphone application, yielding six distinct symptom presenta- tions. Clustering was validated on an independent replication dataset between 1 and 28 May 2020. Using the first 5 days of symptom logging, the ROC-AUC (receiver operating characteristic – area under the curve) of need for respiratory sup- port was 78.8%, substantially outperforming personal characteristics alone (ROC-AUC 69.5%). Such an approach could be used to monitor at-risk patients and predict medical resource requirements days before they are required. 

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Infektionsmedicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Infectious Medicine (hsv//eng)

Nyckelord

COVID-19
COVID Symptom Study app

Publikations- och innehållstyp

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