• Int. J. Clin. Pract. · Sep 2021

    A prospective cohort study of two predictor models for 30-day emergency readmission in older patients.

    • Michael N Armitage, Vivek Srivastava, Benjamin K Allison, Marcus V Williams, Michelle Brandt-Sarif, and Geraldine Lee.
    • Guy's, King's, and St Thomas' School of Medicine, London, UK.
    • Int. J. Clin. Pract. 2021 Sep 1; 75 (9): e14478.

    AimTo undertake a prospective study of the accuracy of two models (LACE and BOOST) in predicting unplanned hospital readmission in older patients (>75 years).MethodsData were collected from a single centre prospectively on 110 patients over 75 years old admitted to the acute medical unit. Follow-up was conducted at 30 days. The primary outcome was the c-statistic for both models.ResultsThe readmission rate was 32.7% and median age 82 years, and both BOOST and LACE scores were significantly higher in those readmitted compared with those who were not. C-statistics were calculated for both tools with BOOST score 0.667 (95% CI 0.559-0.775, P = .005) and LACE index 0.685 (95% CI 0.579-0.792, P = .002).ConclusionIn this prospective study, both the BOOST and LACE scores were found to be significant yet poor, predictive models of hospital readmission. Recent hospitalisation (within the previous 6 months) was found to be the most significant contributing factor.© 2021 The Authors. International Journal of Clinical Practice published by John Wiley & Sons Ltd.

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