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Prospective validation of the 4C prognostic models for adults hospitalised with COVID-19 using the ISARIC WHO Clinical Characterisation Protocol.
Knight, Stephen R; Gupta, Rishi K; Ho, Antonia; Pius, Riinu; Buchan, Iain; Carson, Gail; Drake, Thomas M; Dunning, Jake; Fairfield, Cameron J; Gamble, Carrol; Green, Christopher A; Halpin, Sophie; Hardwick, Hayley E; Holden, Karl A; Horby, Peter W; Jackson, Clare; Mclean, Kenneth A; Merson, Laura; Nguyen-Van-Tam, Jonathan S; Norman, Lisa; Olliaro, Piero L; Pritchard, Mark G; Russell, Clark D; Shaw, Catherine A; Sheikh, Aziz; Solomon, Tom; Sudlow, Cathie; Swann, Olivia V; Turtle, Lance C W; Openshaw, Peter J M; Baillie, J Kenneth; Docherty, Annemarie; Semple, Malcolm G; Noursadeghi, Mahdad; Harrison, Ewen M.
Afiliación
  • Knight SR; Centre for Medical Informatics, The University of Edinburgh, Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK.
  • Gupta RK; University College London Institute for Global Health, London, UK.
  • Ho A; Medical Research Council University of Glasgow Centre for Virus Research, Glasgow, UK.
  • Pius R; Centre for Medical Informatics, The University of Edinburgh, Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK.
  • Buchan I; Manchester Academic Health Science Centre, Manchester, UK.
  • Carson G; Department of Public Health and Policy, University of Liverpool, Liverpool, UK.
  • Drake TM; Nuffield Department of Clinical Medicine, ISARIC Global Support Centre, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
  • Dunning J; Centre for Medical Informatics, The University of Edinburgh, Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK.
  • Fairfield CJ; Public Health England National Infection Service, Salisbury, UK.
  • Gamble C; National Heart and Lung Institute, Imperial College London, London, UK.
  • Green CA; Centre for Medical Informatics, The University of Edinburgh, Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK.
  • Halpin S; Liverpool Clinical Trials Centre, University of Liverpool, Liverpool, UK.
  • Hardwick HE; Institute of Microbiology and Infection, University of Birmingham, Birmingham, UK.
  • Holden KA; Liverpool Clinical Trials Centre, University of Liverpool, Liverpool, UK.
  • Horby PW; NIHR Health Protection Research Unit, Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
  • Jackson C; NIHR Health Protection Research Unit, Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
  • Mclean KA; Nuffield Department of Clinical Medicine, ISARIC Global Support Centre, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
  • Merson L; Liverpool Clinical Trials Centre, University of Liverpool, Liverpool, UK.
  • Nguyen-Van-Tam JS; Centre for Medical Informatics, The University of Edinburgh, Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK.
  • Norman L; Nuffield Department of Clinical Medicine, ISARIC Global Support Centre, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
  • Olliaro PL; Division of Epidemiology and Public Health, University of Nottingham, Nottingham, UK.
  • Pritchard MG; Centre for Medical Informatics, The University of Edinburgh, Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK.
  • Russell CD; Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
  • Shaw CA; Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
  • Sheikh A; Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
  • Solomon T; Centre for Medical Informatics, The University of Edinburgh, Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK.
  • Sudlow C; Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
  • Swann OV; NIHR Health Protection Research Unit, Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
  • Turtle LCW; Health Data Research UK, London, UK.
  • Openshaw PJM; Department of Child Life and Health, University of Edinburgh, Edinburgh, UK.
  • Baillie JK; Clinical Infection, Microbiology and Immunology, University of Liverpool Faculty of Health and Life Sciences, Liverpool, UK.
  • Docherty A; Liverpool University Hospitals Foundation Trust, Member of Liverpool Health Partners, Liverpool, UK.
  • Semple MG; Respiratory Department, Imperial College, London, UK.
  • Noursadeghi M; Genetics and Genomics, Roslin Institute, University of Edinburgh, Edinburgh, UK.
  • Harrison EM; Centre for Medical Informatics, The University of Edinburgh, Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK.
Thorax ; 77(6): 606-615, 2022 06.
Article en En | MEDLINE | ID: mdl-34810237
PURPOSE: To prospectively validate two risk scores to predict mortality (4C Mortality) and in-hospital deterioration (4C Deterioration) among adults hospitalised with COVID-19. METHODS: Prospective observational cohort study of adults (age ≥18 years) with confirmed or highly suspected COVID-19 recruited into the International Severe Acute Respiratory and emerging Infections Consortium (ISARIC) WHO Clinical Characterisation Protocol UK (CCP-UK) study in 306 hospitals across England, Scotland and Wales. Patients were recruited between 27 August 2020 and 17 February 2021, with at least 4 weeks follow-up before final data extraction. The main outcome measures were discrimination and calibration of models for in-hospital deterioration (defined as any requirement of ventilatory support or critical care, or death) and mortality, incorporating predefined subgroups. RESULTS: 76 588 participants were included, of whom 27 352 (37.4%) deteriorated and 12 581 (17.4%) died. Both the 4C Mortality (0.78 (0.77 to 0.78)) and 4C Deterioration scores (pooled C-statistic 0.76 (95% CI 0.75 to 0.77)) demonstrated consistent discrimination across all nine National Health Service regions, with similar performance metrics to the original validation cohorts. Calibration remained stable (4C Mortality: pooled slope 1.09, pooled calibration-in-the-large 0.12; 4C Deterioration: 1.00, -0.04), with no need for temporal recalibration during the second UK pandemic wave of hospital admissions. CONCLUSION: Both 4C risk stratification models demonstrate consistent performance to predict clinical deterioration and mortality in a large prospective second wave validation cohort of UK patients. Despite recent advances in the treatment and management of adults hospitalised with COVID-19, both scores can continue to inform clinical decision making. TRIAL REGISTRATION NUMBER: ISRCTN66726260.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Humans Idioma: En Revista: Thorax Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Humans Idioma: En Revista: Thorax Año: 2022 Tipo del documento: Article