Format

Send to:

Choose Destination
See comment in PubMed Commons below
Ann Vasc Surg. 2002 Nov;16(6):736-41. Epub 2002 Oct 24.

Comparison of POSSUM with P-POSSUM for prediction of mortality in infrarenal abdominal aortic aneurysm repair.

Author information

  • 1Department of Surgery, Conquest Hospital, Hastings and Rother NHS Trust, East Sussex, UK. shuhaibr@uic.edu

Abstract

The Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity (POSSUM) is a simple and valid scoring system in predicting mortality and morbidity rates. The Portsmouth predictor equation (P-POSSUM) has been shown to be a more accurate predictor of death than the POSSUM in vascular patients. The length of hospital stay (LOS) equation has been suggested to be of value in predicting total length of stay. The aim of this study was to test the validity of the POSSUM, P-POSSUM, and LOS in predicting outcome of patients undergoing abdominal aortic aneurysm (AAA) repair. POSSUM scores in 118 patients who underwent AAA repair by a single consultant were recorded retrospectively. Observed rates of mortality, morbidity, and length of hospital stay were correlated with the rates predicted by POSSUM, P-POSSUM, and LOS equations in three groups: all cases, 93 elective repairs, and emergency AAA repairs. The POSSUM and the P-POSSUM performed similarly in terms of accuracy of prediction, with all predicted values being not significantly different from those observed. The POSSUM tended to overpredict mortality compared to the P-POSSUM. The POSSUM predicted morbidity well. The LOS equation failed to predict significantly observed total hospital stay. POSSUM and P-POSSUM outcome risk equations are thus valid in predicting mortality for all cases and emergency AAA repairs. The POSSUM morbidity equation predicts complications quantitatively.

PMID:
12391502
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Loading ...
    Write to the Help Desk