Medical Optimisation Can Reduce Morbidity and Mortality Associated with Elective Aortic Aneurysm Repair

ObjectivesPatients with aortic aneurysms have significant comorbidities which influence outcome. Our practice includes comprehensive assessment to identify comorbidities, allowing subsequent medical optimisation prior to aneurysm repair. The aim of this study was to assess this process and to identify any factors predictive of outcome.DesignProspective observational study.MaterialsMedical case notes of 200 patients referred with aortic pathology.MethodsData analysed included preoperative, perioperative and postoperative factors. Multiple logistic regression analysis was performed to identify predictors of outcome.ResultsFollowing assessment 17 patients (8.5%) were found to be unfit for intervention and 165 patients (82.5%) proceeded to aneurysm repair. In this group assessment uncovered previously undiagnosed cardiac, respiratory and renal comorbidity in 19%, 57% and 29% of patients respectively. Multiple logistic regression analysis indicated that optimisation by a renal physician reduced post-operative renal impairment (OR 0.12, 95% CI 0.03–0.45, P = 0.002) while optimisation by a cardiologist reduced respiratory complications (OR 0.7, 95% CI 0.05–0.99, P = 0.049). An abnormal echocardiogram was associated with pneumonia (OR 6.9, 95% CI 1.6–29, P = 0.01) and death (OR 7.9, 95% CI 1.15–54, P = 0.036).ConclusionPre-operative assessment identifies previously undiagnosed comorbidity in a significant proportion of patients. Subsequent medical optimisation may reduce post-operative morbidity and mortality.