The international surgical journal with global reach

This is the Scientific Surgery Archive, which contains all randomized clinical trials in surgery that have been identified by searching the top 50 English language medical journal issues since January 1998. Compiled by Jonothan J. Earnshaw, former Editor-in-Chief, BJS

Logistic risk model for mortality following elective abdominal aortic aneurysm repair. BJS 2011; 98: 652-658.

Published: 17th March 2011

Authors: S. W. Grant, A. D. Grayson, D. Purkayastha, S. D. Wilson, C. McCollum

Background

The aim was to develop a multivariable risk prediction model for 30‐day mortality following elective abdominal aortic aneurysm (AAA) repair.

Method

Data collected prospectively on 2765 consecutive patients undergoing elective open and endovascular AAA repair from September 1999 to October 2009 in the North West of England were split randomly into development (1936 patients) and validation (829) data sets. Logistic regression analysis was undertaken to identify risk factors for 30‐day mortality.

Results

Ninety‐eight deaths (5·1 per cent) were recorded in the development data set. Variables associated with 30‐day mortality included: increasing age (P = 0·005), female sex (P = 0·002), diabetes (P = 0·029), raised serum creatinine level (P = 0·006), respiratory disease (P = 0·031), antiplatelet medication (P < 0·001) and open surgery (P = 0·002). The area under the receiver operating characteristic (ROC) curve for predicted probability of 30‐day mortality in the development and validation data sets was 0·73 and 0·70 respectively. Observed versus expected 30‐day mortality was 3·2 versus 2·0 per cent (P = 0·272) in low‐risk, 6·1 versus 5·1 per cent (P = 0·671) in medium‐risk and 11·1 versus 10·7 per cent (P = 0·879) in high‐risk patients.

Conclusion

This multivariable model for predicting 30‐day mortality following elective AAA repair can be used clinically to calculate patient‐specific risk and is useful for case‐mix adjustment. The model predicted well across all risk groups in the validation data set. Copyright © 2011 British Journal of Surgery Society Ltd. Published by John Wiley & Sons, Ltd.

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