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Clinical decision-making in older adults following emergency admission to hospital. Derivation and validation of a risk stratification score: OPERA

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  • Khushal Arjan
  • Lui G Forni
  • Richard M Venn
  • David Hunt
  • Luke Eliot Hodgson

Abstract

Objectives of the study: Demographic changes alongside medical advances have resulted in older adults accounting for an increasing proportion of emergency hospital admissions. Current measures of illness severity, limited to physiological parameters, have shortcomings in this cohort, partly due to patient complexity. This study aimed to derive and validate a risk score for acutely unwell older adults which may enhance risk stratification and support clinical decision-making. Methods: Data was collected from emergency admissions in patients ≥65 years from two UK general hospitals (April 2017- April 2018). Variables underwent regression analysis for in-hospital mortality and independent predictors were used to create a risk score. Performance was assessed on external validation. Secondary outcomes included seven-day mortality and extended hospital stay. Results: Derivation (n = 8,974) and validation (n = 8,391) cohorts were analysed. The model included the National Early Warning Score 2 (NEWS2), clinical frailty scale (CFS), acute kidney injury, age, sex, and Malnutrition Universal Screening Tool. For mortality, area under the curve for the model was 0.79 (95% CI 0.78–0.80), superior to NEWS2 0.65 (0.62–0.67) and CFS 0.76 (0.74–0.77) (P 30 days. Conclusions: Our simple validated model (Older Persons’ Emergency Risk Assessment [OPERA] score) predicts in-hospital mortality and prolonged length of stay and could be easily integrated into electronic hospital systems, enabling automatic digital generation of risk stratification within hours of admission. Future studies may validate the OPERA score in external populations and consider an impact analysis.

Suggested Citation

  • Khushal Arjan & Lui G Forni & Richard M Venn & David Hunt & Luke Eliot Hodgson, 2021. "Clinical decision-making in older adults following emergency admission to hospital. Derivation and validation of a risk stratification score: OPERA," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-12, March.
    • Handle: RePEc:plo:pone00:0248477
    DOI: 10.1371/journal.pone.0248477
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    1. Andrew J. Vickers & Elena B. Elkin, 2006. "Decision Curve Analysis: A Novel Method for Evaluating Prediction Models," Medical Decision Making, , vol. 26(6), pages 565-574, November.
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