Abstract
Objectives: Evaluation of the prognostic ability of the APACHE-AAA model in an independent group of post-operative (open) Abdominal Aortic Aneurysm (AAA) patients. Methods: The model was applied to predict in-hospital mortality in 541 patients (325 elective and 216 emergencies; 489 from Oxford; 52 from Lewisham). Multi-level modelling was used to adjust for both the local structure and process of care and patient case-mix. Model performance was assessed using goodness-of-fit and subgroup analyses. Results: The model's predictive ability to discriminate between dead and alive patients was very good (ROC area = 0.84). The model achieved a good fit across all strata of risk (Hosmer-Lemeshow C-test (8, N = 476) = 7.777, p = 0.456) and in all subgroups. The model was able to rank the ICUs according to their performance independently of the patient case-mix. Conclusion: The APACHE-AAA model accurately predicted in-hospital mortality in a population of patients independent of the one used to develop it, confirming its validity. The multi-level methodology employed has shown that patient outcome is not only a function of the patient case-mix but instead predictive models should also adjust for the individual hospital-related factors (structure and process of care).
Original language | English |
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Pages (from-to) | 514-521 |
Number of pages | 8 |
Journal | European Journal of Vascular and Endovascular Surgery |
Volume | 34 |
Issue number | 5 |
DOIs | |
Publication status | Published - Nov 2007 |
Keywords
- Hospital mortality
- Intensive care units
- Models, Statistical
- Prognosis
- Severity of illness index