Literature DB >> 12780616

An analysis of the accuracy of P-POSSUM scoring for mortality risk assessment after surgery for colorectal cancer.

K. V Menon1, R Farouk.   

Abstract

OBJECTIVE: To compare predicted vs. observed mortality using P-POSSUM and determine whether this scoring system reflected observed surgical outcomes. PATIENTS AND METHODS: Consecutive patients who underwent a colorectal resection for cancer over a 12-month period were scored using P-POSSUM to estimate mortality risk and POSSUM to calculate predicted morbidity. This was then compared with observed outcomes. The main outcome measurements were 30 day postoperative mortality and postoperative morbidity.
RESULTS: 173 patients underwent a colorectal resection for cancer during the study period. The observed mortality rate was 8.7% compared with a P-POSSUM predicted mortality rate of 15.6% (P < 0.01). Observed morbidity was 29% whereas the predicted morbidity rate was 32% (P=0.1).
CONCLUSIONS: P-POSSUM allows for standardization of physiological and operative variables. Risk of postoperative mortality may be overestimated by the scoring system however.

Entities:  

Year:  2002        PMID: 12780616     DOI: 10.1046/j.1463-1318.2002.00334.x

Source DB:  PubMed          Journal:  Colorectal Dis        ISSN: 1462-8910            Impact factor:   3.788


  10 in total

1.  Predicting post-operative mortality in patients undergoing colorectal surgery using P-POSSUM and CR-POSSUM scores: a prospective study.

Authors:  Edmund Leung; Ali M Ferjani; Nigel Stellard; Ling S Wong
Journal:  Int J Colorectal Dis       Date:  2009-07-30       Impact factor: 2.571

2.  Colorectal surgical mortality and morbidity in elderly patients: comparison of POSSUM, P-POSSUM, CR-POSSUM, and CR-BHOM.

Authors:  António Gomes; Ricardo Rocha; Rui Marinho; Marta Sousa; Nuno Pignatelli; Carla Carneiro; Vitor Nunes
Journal:  Int J Colorectal Dis       Date:  2014-11-28       Impact factor: 2.571

Review 3.  A systematic review of POSSUM and its related models as predictors of post-operative mortality and morbidity in patients undergoing surgery for colorectal cancer.

Authors:  Colin Hewitt Richards; Fiona E Leitch; Paul G Horgan; Donald C McMillan
Journal:  J Gastrointest Surg       Date:  2010-09-08       Impact factor: 3.452

4.  Validity of P-POSSUM in adult cancer surgery (PACS).

Authors:  Sudipta Mukherjee; Ankit Kedia; Jyotsna Goswami; Arunangshu Chakraborty
Journal:  J Anaesthesiol Clin Pharmacol       Date:  2022-04-25

5.  Can SAPS II predict operative mortality more accurately than POSSUM and P-POSSUM in patients with colorectal carcinoma undergoing resection?

Authors:  Mehmet F Can; Gohkan Yagci; Turgut Tufan; Erkan Ozturk; Nazif Zeybek; Sadettin Cetiner
Journal:  World J Surg       Date:  2008-04       Impact factor: 3.352

6.  The relationship between patient physiology, the systemic inflammatory response and survival in patients undergoing curative resection of colorectal cancer.

Authors:  C H Richards; E F Leitch; P G Horgan; J H Anderson; R F McKee; D C McMillan
Journal:  Br J Cancer       Date:  2010-09-28       Impact factor: 7.640

7.  The AFC score: validation of a 4-item predicting score of postoperative mortality after colorectal resection for cancer or diverticulitis: results of a prospective multicenter study in 1049 patients.

Authors:  Arnaud Alves; Yves Panis; Georges Mantion; Karem Slim; Fabrice Kwiatkowski; Eric Vicaut
Journal:  Ann Surg       Date:  2007-07       Impact factor: 12.969

8.  Analysis of POSSUM score and postoperative morbidity in patients with rectal cancer undergoing surgery.

Authors:  V Valenti; J L Hernandez-Lizoain; J Baixauli; C Pastor; F Martinez-Regueira; J J Beunza; J J Aristu; J Alvarez Cienfuegos
Journal:  Langenbecks Arch Surg       Date:  2008-03-05       Impact factor: 3.445

9.  Predictive value of POSSUM and ACPGBI scoring in mortality and morbidity of colorectal resection: a case-control study.

Authors:  Pascal H E Teeuwen; A J A Bremers; J M M Groenewoud; C J H M van Laarhoven; R P Bleichrodt
Journal:  J Gastrointest Surg       Date:  2010-10-09       Impact factor: 3.452

10.  Perioperative risk prediction in the era of enhanced recovery: a comparison of POSSUM, ACPGBI, and E-PASS scoring systems in major surgical procedures of the colorectal surgeon.

Authors:  Nigel M Bagnall; Edward T Pring; George Malietzis; Thanos Athanasiou; Omar D Faiz; Robin H Kennedy; John T Jenkins
Journal:  Int J Colorectal Dis       Date:  2018-08-04       Impact factor: 2.571

  10 in total

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