Register for email alerts and news feeds:
This journal | BMJ Group
rss
Postgraduate Medical Journal 2007;83:355-358; doi:10.1136/pgmj.2006.053223
© 2007 BMJ Publishing Group Ltd and The Fellowship of Postgraduate Medicine.

CLINICAL AUDIT

Comparison of P-POSSUM and O-POSSUM in predicting mortality after oesophagogastric resections

J S Nagabhushan1, S Srinath1, F Weir1, W J Angerson2, B A Sugden1, C G Morran1

1 Department of Surgery, Crosshouse Hospital, Kilmarnock, UK
2 University Department of Surgery, Glasgow Royal Infirmary, Glasgow, UK

Correspondence to:
Correspondence to:
MrJ S Nagabhushan
Department of HPB Surgery, Glasgow Royal Infirmary, 16, Alexandra parade, Glasgow, G31 2ER, UK; nags1970{at}aol.com

Background: P-POSSUM (Physiological and Operative Severity Score for the enumeration of Mortality and morbidity) predicts mortality and morbidity in general surgical patients providing an adjunct to surgical audit. O-POSSUM was designed specifically to predict mortality and morbidity in patients undergoing oesophagogastric surgery.

Aim: To compare P-POSSUM and O-POSSUM in predicting surgical mortality in patients undergoing elective oesophagogastric cancer resections.

Methods: Elective oesophagogastric cancer resections in a district general hospital from 1990 to 2002 were scored by P-POSSUM and O-POSSUM methods. Observed mortality rates were compared to predicted mortality rates in six risk groups for each model using the Hosmer–Lemeshow goodness-of-fit test. The power to discriminate between patients who died and those who survived was assessed using the area under the receiver–operator characteristic (ROC) curve.

Results: 313 patients underwent oesophagogastric resections. 32 died within 30 days (10.2%). P-POSSUM predicted 36 deaths ({chi}2 = 15.19, df = 6, p = 0.019, Hosmer–Lemeshow goodness-of-fit test), giving a standardised mortality ratio (SMR) of 0.89. O-POSSUM predicted 49 deaths ({chi}2 = 16.51, df = 6, p = 0.011), giving an SMR of 0.65. The area under the ROC curve was 0.68 (95% confidence interval 0.59 to 0.76) for P-POSSUM and 0.61 (95% confidence interval 0.50 to 0.72) for O-POSSUM.

Conclusion: Neither model accurately predicted the risk of postoperative death. P-POSSUM provided a better fit to observed results than O-POSSUM, which overpredicted total mortality. P-POSSUM also had superior discriminatory power.

Abbreviations: AUC, area under the receiver–operator characteristic curve; H–L, Hosmer–Lemeshow; POSSUM, Physiological and Operative Severity Score for the enumeration of Mortality and morbidity; ROC, receiver–operator characteristic; SMR, standardised mortality ratio


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?

This Article

Services
Citing Articles
Google Scholar
PubMed
Topic Collections
Bookmark with

Register for free content

The full back archive is now available for all BMJ Journals. Institutional subscribers may access the entire archive as part of their subscription. Personal subscribers will also have access to all content when logged in. Non-subscribers who register have free access to all articles published before 2006 right back to volume 1 issue 1. Register here to access the free archive of all BMJ Journals.

Don't forget to sign up for content alerts so you keep up to date with all the articles as they are published.