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Distinct clinical symptom patterns in patients hospitalised with COVID-19 in an analysis of 59,011 patients in the ISARIC-4C study.
Millar, Jonathan E; Neyton, Lucile; Seth, Sohan; Dunning, Jake; Merson, Laura; Murthy, Srinivas; Russell, Clark D; Keating, Sean; Swets, Maaike; Sudre, Carole H; Spector, Timothy D; Ourselin, Sebastien; Steves, Claire J; Wolf, Jonathan; Docherty, Annemarie B; Harrison, Ewen M; Openshaw, Peter J M; Semple, Malcolm G; Baillie, J Kenneth.
  • Millar JE; Division of Functional Genetics and Development, Roslin Institute, University of Edinburgh, Easter Bush Campus, Midlothian, Edinburgh, EH25 9RG, UK.
  • Neyton L; Division of Functional Genetics and Development, Roslin Institute, University of Edinburgh, Easter Bush Campus, Midlothian, Edinburgh, EH25 9RG, UK.
  • Seth S; Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, UK.
  • Dunning J; National Infection Service, Public Health England, London, UK.
  • Merson L; National Heart and Lung Institute, Imperial College London, London, UK.
  • Murthy S; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, ISARIC Global Support Centre, University of Oxford, Oxford, UK.
  • Russell CD; Infectious Diseases Data Observatory, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
  • Keating S; BC Children's Hospital, University of British Columbia, Vancouver, Canada.
  • Swets M; Centre for Inflammation Research, The Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
  • Sudre CH; Intensive Care Unit, Royal Infirmary of Edinburgh, Edinburgh, UK.
  • Spector TD; Division of Functional Genetics and Development, Roslin Institute, University of Edinburgh, Easter Bush Campus, Midlothian, Edinburgh, EH25 9RG, UK.
  • Ourselin S; Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
  • Steves CJ; School of Biomedical and Imaging Sciences, King's College London, London, UK.
  • Wolf J; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
  • Docherty AB; School of Biomedical and Imaging Sciences, King's College London, London, UK.
  • Harrison EM; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
  • Openshaw PJM; ZOE Global Ltd, London, UK.
  • Semple MG; Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Baillie JK; Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK.
Sci Rep ; 12(1): 6843, 2022 04 27.
Article in English | MEDLINE | ID: covidwho-1815585
ABSTRACT
COVID-19 is clinically characterised by fever, cough, and dyspnoea. Symptoms affecting other organ systems have been reported. However, it is the clinical associations of different patterns of symptoms which influence diagnostic and therapeutic decision-making. In this study, we applied clustering techniques to a large prospective cohort of hospitalised patients with COVID-19 to identify clinically meaningful sub-phenotypes. We obtained structured clinical data on 59,011 patients in the UK (the ISARIC Coronavirus Clinical Characterisation Consortium, 4C) and used a principled, unsupervised clustering approach to partition the first 25,477 cases according to symptoms reported at recruitment. We validated our findings in a second group of 33,534 cases recruited to ISARIC-4C, and in 4,445 cases recruited to a separate study of community cases. Unsupervised clustering identified distinct sub-phenotypes. First, a core symptom set of fever, cough, and dyspnoea, which co-occurred with additional symptoms in three further patterns fatigue and confusion, diarrhoea and vomiting, or productive cough. Presentations with a single reported symptom of dyspnoea or confusion were also identified, alongside a sub-phenotype of patients reporting few or no symptoms. Patients presenting with gastrointestinal symptoms were more commonly female, had a longer duration of symptoms before presentation, and had lower 30-day mortality. Patients presenting with confusion, with or without core symptoms, were older and had a higher unadjusted mortality. Symptom sub-phenotypes were highly consistent in replication analysis within the ISARIC-4C study. Similar patterns were externally verified in patients from a study of self-reported symptoms of mild disease. The large scale of the ISARIC-4C study enabled robust, granular discovery and replication. Clinical interpretation is necessary to determine which of these observations have practical utility. We propose that four sub-phenotypes are usefully distinct from the core symptom group gastro-intestinal disease, productive cough, confusion, and pauci-symptomatic presentations. Importantly, each is associated with an in-hospital mortality which differs from that of patients with core symptoms.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Observational study / Prognostic study Topics: Long Covid Limits: Female / Humans Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-08032-3

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Observational study / Prognostic study Topics: Long Covid Limits: Female / Humans Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-08032-3