Literature DB >> 19214647

Surgical audit using the POSSUM scoring tool in vascular surgery patients.

J S Byrne1, E T Condon, M Ahmed, R Conroy, D Mehigan, S J Sheehan, M C Barry.   

Abstract

INTRODUCTION: Currently, crude morbidity and mortality rates are used to assess vascular surgical outcome. However, as a high-risk specialty, this may not be representative of quality of care. AIM: We evaluated the POSSUM score as a measure of performance in our vascular unit, and also its usefulness on an individual patient basis for predicting outcome. PATIENTS AND METHODS: A total of 106 patients were prospectively scored using the vascular-POSSUM score, and mean predicted and observed morbidity and mortality were compared with one-sample t tests.
RESULTS: Receiver operator characteristic curves were used to determine if POSSUM scores were associated with the end-points of morbidity and mortality. Predicted and observed morbidity (41 and 35.8%, respectively) were not significantly different (P = 0.066). POSSUM did, however, over-predict mortality at 9.7% compared to the observed mortality of 5.7% (P = 0.021). While the discrimination for predicting morbidity was poor, POSSUM scores were significantly associated with mortality endpoints (area under ROC curve = 0.97250). POSSUM morbidity scores closely correlate with observed outcomes.
CONCLUSION: Although POSSUM did over-predict mortality, high mortality scores may be useful for identifying patients at particularly high risk post-operatively. The POSSUM score is a useful adjunct to interpretation of morbidity and mortality statistics, and we would recommend its wider implementation for surgical audit.

Entities:  

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Year:  2009        PMID: 19214647     DOI: 10.1007/s11845-009-0280-1

Source DB:  PubMed          Journal:  Ir J Med Sci        ISSN: 0021-1265            Impact factor:   1.568


  12 in total

1.  Estimation of mortality and morbidity risk in vascular surgery using POSSUM and the Portsmouth predictor equation.

Authors:  M J Midwinter; M Tytherleigh; S Ashley
Journal:  Br J Surg       Date:  1999-04       Impact factor: 6.939

2.  Comparison of POSSUM and the Portsmouth predictor equation for predicting death following vascular surgery.

Authors:  L D Wijesinghe; T Mahmood; D J Scott; D C Berridge; P J Kent; R C Kester
Journal:  Br J Surg       Date:  1998-02       Impact factor: 6.939

3.  Risk-adjusted analysis of surgeon performance: a 1-year study.

Authors:  G P Copeland; P Sagar; J Brennan; G Roberts; J Ward; P Cornford; A Millar; C Harris
Journal:  Br J Surg       Date:  1995-03       Impact factor: 6.939

4.  Comparative audit of colorectal resection with the POSSUM scoring system.

Authors:  P M Sagar; M N Hartley; B Mancey-Jones; P C Sedman; J May; J Macfie
Journal:  Br J Surg       Date:  1994-10       Impact factor: 6.939

5.  The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

6.  A model for national outcome audit in vascular surgery.

Authors:  D R Prytherch; B M Ridler; J D Beard; J J Earnshaw
Journal:  Eur J Vasc Endovasc Surg       Date:  2001-06       Impact factor: 7.069

Review 7.  Risk scoring in surgical patients.

Authors:  H J Jones; L de Cossart
Journal:  Br J Surg       Date:  1999-02       Impact factor: 6.939

8.  Predicting postoperative morbidity by clinical assessment.

Authors:  P M Markus; J Martell; I Leister; O Horstmann; J Brinker; H Becker
Journal:  Br J Surg       Date:  2005-01       Impact factor: 6.939

9.  Comparative vascular audit using the POSSUM scoring system.

Authors:  G P Copeland; D Jones; A Wilcox; P L Harris
Journal:  Ann R Coll Surg Engl       Date:  1993-05       Impact factor: 1.891

10.  APACHE II score does not predict multiple organ failure or mortality in postoperative surgical patients.

Authors:  F B Cerra; F Negro; J Abrams
Journal:  Arch Surg       Date:  1990-04
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