Your browser doesn't support javascript.
Development and validation of the ISARIC 4C Deterioration model for adults hospitalised with COVID-19: a prospective cohort study.
Gupta, Rishi K; Harrison, Ewen M; Ho, Antonia; Docherty, Annemarie B; Knight, Stephen R; van Smeden, Maarten; Abubakar, Ibrahim; Lipman, Marc; Quartagno, Matteo; 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; Scott-Brown, James; Shaw, Catherine A; Sheikh, Aziz; Solomon, Tom; Sudlow, Cathie; Swann, Olivia V; Turtle, Lance; Openshaw, Peter J M; Baillie, J Kenneth; Semple, Malcolm G; Noursadeghi, Mahdad.
  • Gupta RK; Institute for Global Health, University College London, London, UK.
  • Harrison EM; Centre for Medical Informatics, The Usher Institute, University of Edinburgh, Edinburgh, UK; Department of Clinical Surgery, University of Edinburgh, Edinburgh, UK.
  • Ho A; Medical Research Council, University of Glasgow Centre for Virus Research, Glasgow, UK; Department of Infectious Diseases, Queen Elizabeth University Hospital, Glasgow, UK.
  • Docherty AB; Centre for Medical Informatics, The Usher Institute, University of Edinburgh, Edinburgh, UK; Intensive Care Unit, Royal Infirmary Edinburgh, Edinburgh, UK.
  • Knight SR; Centre for Medical Informatics, The Usher Institute, University of Edinburgh, Edinburgh, UK.
  • van Smeden M; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
  • Abubakar I; Institute for Global Health, University College London, London, UK.
  • Lipman M; UCL Respiratory, Division of Medicine, University College London, London, UK; Royal Free Hospitals NHS Trust, London, UK.
  • Quartagno M; MRC Clinical Trials Unit, Institute of Clinical Trials and Methodology, University College London, London, UK.
  • Pius R; Centre for Medical Informatics, The Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Buchan I; Institute of Population Health Sciences, University of Liverpool, Liverpool, UK.
  • Carson G; ISARIC Global Support Centre, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Drake TM; Centre for Medical Informatics, The Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Dunning J; National Infection Service, Public Health England, London, UK; National Heart and Lung Institute, Imperial College London, London, UK.
  • Fairfield CJ; Centre for Medical Informatics, The Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Gamble C; Liverpool Clinical Trials Centre, University of Liverpool, Liverpool, UK.
  • Green CA; Institute of Microbiology and Infection, University of Birmingham, Birmingham, UK.
  • Halpin S; Liverpool Clinical Trials Centre, University of Liverpool, Liverpool, UK.
  • Hardwick HE; NIHR Health Protection Research Unit, Institute of Infection, Veterinary, and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
  • Holden KA; NIHR Health Protection Research Unit, Institute of Infection, Veterinary, and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
  • Horby PW; ISARIC Global Support Centre, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Jackson C; Liverpool Clinical Trials Centre, University of Liverpool, Liverpool, UK.
  • Mclean KA; Centre for Medical Informatics, The Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Merson L; ISARIC Global Support Centre, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Nguyen-Van-Tam JS; Division of Epidemiology and Public Health, University of Nottingham School of Medicine, Nottingham, UK.
  • Norman L; Centre for Medical Informatics, The Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Olliaro PL; ISARIC Global Support Centre, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Pritchard MG; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Russell CD; Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
  • Scott-Brown J; School of Informatics, University of Edinburgh, Edinburgh, UK.
  • Shaw CA; Centre for Medical Informatics, The Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Sheikh A; Centre for Medical Informatics, The Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Solomon T; NIHR Health Protection Research Unit, Institute of Infection, Veterinary, and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK; Walton Centre NHS Foundation Trust, Liverpool, UK.
  • Sudlow C; Health Data Research UK, London, UK.
  • Swann OV; Department of Child Life and Health, University of Edinburgh, Edinburgh, UK.
  • Turtle L; NIHR Health Protection Research Unit, Institute of Infection, Veterinary, and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK; Tropical and Infectious Disease Unit, Royal Liverpool University Hospital, Liverpool, UK.
  • Openshaw PJM; National Heart and Lung Institute, Imperial College London, London, UK.
  • Baillie JK; Roslin Institute, University of Edinburgh, Edinburgh, UK; Intensive Care Unit, Royal Infirmary Edinburgh, Edinburgh, UK.
  • Semple MG; NIHR Health Protection Research Unit, Institute of Infection, Veterinary, and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK; Respiratory Medicine, Alder Hey Children's Hospital, Institute in The Park, University of Liverpool, Liverpool, UK. Electron
  • Noursadeghi M; Division of Infection and Immunity, University College London, London, UK. Electronic address: m.noursadeghi@ucl.ac.uk.
Lancet Respir Med ; 9(4): 349-359, 2021 04.
Article in English | MEDLINE | ID: covidwho-1180127
ABSTRACT

BACKGROUND:

Prognostic models to predict the risk of clinical deterioration in acute COVID-19 cases are urgently required to inform clinical management decisions.

METHODS:

We developed and validated a multivariable logistic regression model for in-hospital clinical deterioration (defined as any requirement of ventilatory support or critical care, or death) among consecutively hospitalised adults with highly suspected or confirmed COVID-19 who were prospectively recruited to the International Severe Acute Respiratory and Emerging Infections Consortium Coronavirus Clinical Characterisation Consortium (ISARIC4C) study across 260 hospitals in England, Scotland, and Wales. Candidate predictors that were specified a priori were considered for inclusion in the model on the basis of previous prognostic scores and emerging literature describing routinely measured biomarkers associated with COVID-19 prognosis. We used internal-external cross-validation to evaluate discrimination, calibration, and clinical utility across eight National Health Service (NHS) regions in the development cohort. We further validated the final model in held-out data from an additional NHS region (London).

FINDINGS:

74 944 participants (recruited between Feb 6 and Aug 26, 2020) were included, of whom 31 924 (43·2%) of 73 948 with available outcomes met the composite clinical deterioration outcome. In internal-external cross-validation in the development cohort of 66 705 participants, the selected model (comprising 11 predictors routinely measured at the point of hospital admission) showed consistent discrimination, calibration, and clinical utility across all eight NHS regions. In held-out data from London (n=8239), the model showed a similarly consistent performance (C-statistic 0·77 [95% CI 0·76 to 0·78]; calibration-in-the-large 0·00 [-0·05 to 0·05]); calibration slope 0·96 [0·91 to 1·01]), and greater net benefit than any other reproducible prognostic model.

INTERPRETATION:

The 4C Deterioration model has strong potential for clinical utility and generalisability to predict clinical deterioration and inform decision making among adults hospitalised with COVID-19.

FUNDING:

National Institute for Health Research (NIHR), UK Medical Research Council, Wellcome Trust, Department for International Development, Bill & Melinda Gates Foundation, EU Platform for European Preparedness Against (Re-)emerging Epidemics, NIHR Health Protection Research Unit (HPRU) in Emerging and Zoonotic Infections at University of Liverpool, NIHR HPRU in Respiratory Infections at Imperial College London.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Clinical Decision-Making / Clinical Deterioration / Clinical Decision Rules / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Lancet Respir Med Year: 2021 Document Type: Article Affiliation country: S2213-2600(20)30559-2

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Clinical Decision-Making / Clinical Deterioration / Clinical Decision Rules / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Lancet Respir Med Year: 2021 Document Type: Article Affiliation country: S2213-2600(20)30559-2