Early warning score adjusted for age to predict the composite outcome of mortality, cardiac arrest or unplanned intensive care unit admission using observational vital-sign data: A multicentre development and validation

Farah Shamout, Tingting Zhu, Lei Clifton, Jim Briggs, David Prytherch, Paul Meredith, Lionel Tarassenko, Peter J. Watkinson, David A. Clifton

Research output: Contribution to journalArticle


Objectives Early warning scores (EWS) alerting for in-hospital deterioration are commonly developed using routinely collected vital-sign data from the whole in-hospital population. As these in-hospital populations are dominated by those over the age of 45 years, resultant scores may perform less well in younger age groups. We developed and validated an age-specific early warning score (ASEWS) derived from statistical distributions of vital signs. Design Observational cohort study. Setting Oxford University Hospitals (OUH) July 2013 to March 2018 and Portsmouth Hospitals (PH) NHS Trust January 2010 to March 2017 within the Hospital Alerting Via Electronic Noticeboard database. Participants Hospitalised patients with electronically documented vital-sign observations Outcome Composite outcome of unplanned intensive care unit admission, mortality and cardiac arrest. Methods and results Statistical distributions of vital signs were used to develop an ASEWS to predict the composite outcome within 24 hours. The OUH development set consisted of 2 538 099 vital-sign observation sets from 142 806 admissions (mean age (SD): 59.8 (20.3)). We compared the performance of ASEWS to the National Early Warning Score (NEWS) and our previous EWS (MCEWS) on an OUH validation set consisting of 581 571 observation sets from 25 407 emergency admissions (mean age (SD): 63.0 (21.4)) and a PH validation set consisting of 5 865 997 observation sets from 233 632 emergency admissions (mean age (SD): 64.3 (21.1)). ASEWS performed better in the 16-45 years age group in the OUH validation set (AUROC 0.820 (95% CI 0.815 to 0.824)) and PH validation set (AUROC 0.840 (95% CI 0.839 to 0.841)) than NEWS (AUROC 0.763 (95% CI 0.758 to 0.768) and AUROC 0.836 (95% CI 0.835 to 0.838) respectively) and MCEWS (AUROC 0.808 (95% CI 0.803 to 0.812) and AUROC 0.833 (95% CI 0.831 to 0.834) respectively). Differences in performance were not consistent in the elder age group. Conclusions Accounting for age-related vital sign changes can more accurately detect deterioration in younger patients.

Original languageEnglish (US)
Article numbere033301
JournalBMJ open
Issue number11
StatePublished - Nov 1 2019



  • age factors
  • early warning scores
  • multicentre study
  • patient outcome assessment
  • quality improvement
  • vital signs

ASJC Scopus subject areas

  • Medicine(all)

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