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Publication Detail
Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: An observational cohort study
  • Publication Type:
    Journal article
  • Publication Sub Type:
  • Authors:
    Gupta RK, Marks M, Samuels THA, Luintel A, Rampling T, Chowdhury H, Quartagno M, Nair A, Lipman M, Abubakar I, van Smeden M, Wong WK, Williams B, Noursadeghi M
  • Publisher:
    European Respiratory Society (ERS)
  • Publication date:
  • Pagination:
    1, 14
  • Journal:
    European Respiratory Journal
  • Status:
  • Print ISSN:
  • Language:
BackgroundThe number of proposed prognostic models for COVID-19 is growing rapidly, but it is unknown whether any are suitable for widespread clinical implementation.MethodsWe independently externally validated the performance candidate prognostic models, identified through a living systematic review, among consecutive adults admitted to hospital with a final diagnosis of COVID-19. We reconstructed candidate models as per original descriptions and evaluated performance for their original intended outcomes using predictors measured at admission. We assessed discrimination, calibration and net benefit, compared to the default strategies of treating all and no patients, and against the most discriminating predictor in univariable analyses.ResultsWe tested 22 candidate prognostic models among 411 participants with COVID-19, of whom 180 (43.8%) and 115 (28.0%) met the endpoints of clinical deterioration and mortality, respectively. Highest areas under receiver operating characteristic (AUROC) curves were achieved by the NEWS2 score for prediction of deterioration over 24 h (0.78; 95% CI 0.73–0.83), and a novel model for prediction of deterioration <14 days from admission (0.78; 0.74–0.82). The most discriminating univariable predictors were admission oxygen saturation on room air for in-hospital deterioration (AUROC 0.76; 0.71–0.81), and age for in-hospital mortality (AUROC 0.76; 0.71–0.81). No prognostic model demonstrated consistently higher net benefit than these univariable predictors, across a range of threshold probabilities.ConclusionsAdmission oxygen saturation on room air and patient age are strong predictors of deterioration and mortality among hospitalised adults with COVID-19, respectively. None of the prognostic models evaluated here offered incremental value for patient stratification to these univariable predictors.
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Faculty of Pop Health Sciences
Clinical Operational Research Unit
Institute of Cardiovascular Science
Clinical Epidemiology
Respiratory Medicine
Div of Infection & Immunity
Clinical Operational Research Unit
Respiratory Medicine
MRC Clinical Trials Unit at UCL
Institute of Cardiovascular Science
Population Science & Experimental Medicine
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