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Predictors of long-term mortality from a 23-year database of emergency medical admissions
Richard Conway1, Declan Byrne1, Deirdre O'Riordan1
1Department of Internal Medicine, St James's Hospital, Dublin 8, Dublin, Ireland.
Aim:
There is much focus on the management of the acute emergency medical admission, however, long term outcome data following discharge are sparse.
Methods:
We report all the outcome of emergency admissions to an AMAU (Acute Medical Admission Unit) over 23 years (2002-2024). Data was matched to the Irish National Death Register to capture post-discharge mortality. Predictors of long-term mortality were determined from logistic and Cox regression.
Results:
The 2002-2024 cohort consisted of 186,004 episodes in 95,192 patients, with 14,092 in-hospital deaths within 30-days. Post discharge, to April 2025, there were an additional 17,808 deaths - 31,900 in total (33.5%) of the admitted cohort. Predictors of long-term mortality were age OR 2.03 (95%CI 1.92, 2.15), AISS OR 1.44 (95%CI 1.40, 1.48), Charlson Comorbidity Score OR 1.28 (95%CI 1.24, 1.32) and a Neurology MDC primary diagnosis 1.11 (95%CI 1.02, 1.19). A high Comorbidity Score, reduced survival half-life to ~ 50. Performance of a blood culture, during the acute admission, predicted worse long-term outcomes, irrespective of its result.
Conclusion:
The emergency medical admission is a sentinal event, long-term survival appears better than that projected in the literature .
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