Literature DB >> 19641927

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

Edmund Leung1, Ali M Ferjani, Nigel Stellard, Ling S Wong.   

Abstract

INTRODUCTION: POSSUM and its variants Portsmouth POSSUM (P-POSSUM) and Colorectal POSSUM (CR-POSSUM) equations were derived from a heterogeneous general surgical population, which have been used successfully to provide risk-adjusted operative mortality rates. CR-POSSUM utilises fewer parameters, allowing ease of use. The aim of this study was to predict the mortality outcome in colorectal surgery using these scoring systems compared to the observed mortality and to devise a new scoring system with improved accuracy.
METHODS: The study was conducted prospectively on all consecutive patients requiring elective and emergency colorectal surgery between April 2002 and May 2005. The outcome parameter was defined as 30-day mortality. The observed mortality was compared with predicted mortality by the scoring systems. Hosmer and Lemeshow test was used to assess statistical accuracy of POSSUM.
RESULTS: Eight hundred ninety-nine patients underwent colorectal surgery during the study period. There were 619 elective and 281 emergency patients. Observed 30-day mortality rate was 9%, compared with predicted mortality rate of 13.5% with POSSUM, 5% with P-POSSUM and 9.5% with CR-POSSUM.
CONCLUSION: POSSUM's mortality rate was overestimated, while P-POSSUM's mortality rate was underestimated. CR-POSSUM, the simplest system of all three, most accurately predicted mortality in our unit.

Entities:  

Mesh:

Year:  2009        PMID: 19641927     DOI: 10.1007/s00384-009-0781-4

Source DB:  PubMed          Journal:  Int J Colorectal Dis        ISSN: 0179-1958            Impact factor:   2.571


  25 in total

1.  Evaluation of outcome of laparoscopic colorectal resection with POSSUM, Portsmouth POSSUM and colorectal POSSUM.

Authors:  W L Law; C M Lam; Y M Lee
Journal:  Br J Surg       Date:  2006-01       Impact factor: 6.939

2.  [Short-term results in colorectal surgery. Statistical analysis about mortality, morbidity and hospital stay].

Authors:  U Faggi; A Giovane; S Cardini; S Falchi
Journal:  Minerva Chir       Date:  2007-04       Impact factor: 1.000

3.  An easy-to-use solution for clinical audit in colorectal cancer surgery.

Authors:  Giampaolo Ugolini; Giancarlo Rosati; Isacco Montroni; Simone Zanotti; Alessio Manaresi; Luca Giampaolo; Mario Taffurelli; Victor Pricolo
Journal:  Surgery       Date:  2008-09-21       Impact factor: 3.982

4.  Can elderly patients with colorectal cancer tolerate planned surgical treatment? A practical approach to a common dilemma.

Authors:  G Ugolini; G Rosati; I Montroni; S Zanotti; A Manaresi; L Giampaolo; J Friederike Blume; M Taffurelli
Journal:  Colorectal Dis       Date:  2009-09       Impact factor: 3.788

5.  POSSUM and Portsmouth POSSUM for predicting mortality. Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity.

Authors:  D R Prytherch; M S Whiteley; B Higgins; P C Weaver; W G Prout; S J Powell
Journal:  Br J Surg       Date:  1998-09       Impact factor: 6.939

6.  Assessment of operative risk in colorectal cancer surgery: the Cleveland Clinic Foundation colorectal cancer model.

Authors:  Victor W Fazio; Paris P Tekkis; Feza Remzi; Ian C Lavery
Journal:  Dis Colon Rectum       Date:  2004-12       Impact factor: 4.585

7.  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 8.  Risk scoring in surgical patients.

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

9.  POSSUM, p-POSSUM, and Cr-POSSUM: implementation issues in a United States health care system for prediction of outcome for colon cancer resection.

Authors:  Anthony J Senagore; Anthony J Warmuth; Conor P Delaney; Paris P Tekkis; Victor W Fazio
Journal:  Dis Colon Rectum       Date:  2004-07-15       Impact factor: 4.585

10.  Trends and socioeconomic inequalities in cancer survival in England and Wales up to 2001.

Authors:  M P Coleman; B Rachet; L M Woods; E Mitry; M Riga; N Cooper; M J Quinn; H Brenner; J Estève
Journal:  Br J Cancer       Date:  2004-04-05       Impact factor: 7.640

View more
  9 in total

1.  Predicting morbidity of liver resection.

Authors:  Sudharsan Madhavan; Vishal G Shelat; Su-Lin Soong; Winston W L Woon; Terence Huey; Yiong H Chan; Sameer P Junnarkar
Journal:  Langenbecks Arch Surg       Date:  2018-02-07       Impact factor: 3.445

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.  Complications in colorectal surgery: risk factors and preventive strategies.

Authors:  Philipp Kirchhoff; Pierre-Alain Clavien; Dieter Hahnloser
Journal:  Patient Saf Surg       Date:  2010-03-25

5.  Identification of the high risk emergency surgical patient: Which risk prediction model should be used?

Authors:  Stephen Stonelake; Peter Thomson; Nigel Suggett
Journal:  Ann Med Surg (Lond)       Date:  2015-07-26

6.  Risk factors for early postoperative complications after D3 dissection for stage II or III colon cancer: Supplementary analysis of a multicenter randomized controlled trial in Japan (JCOG0404).

Authors:  Yusuke Nishizawa; Tomonori Akagi; Masafumi Inomata; Hiroshi Katayama; Junki Mizusawa; Seiichiro Yamamoto; Masaaki Ito; Tadahiko Masaki; Masahiko Watanabe; Yasuhiro Shimada; Seigo Kitano
Journal:  Ann Gastroenterol Surg       Date:  2019-04-04

7.  Neutrophil-to-lymphocyte ratio vs C-reactive protein as early predictors of anastomotic leakage after colorectal surgery: A retrospective cohort study.

Authors:  Diana A Pantoja Pachajoa; Manuel Gielis; René M Palacios Huatuco; Milagros N Benitez; Micaela N Avila; Alejandro M Doniquian; Fernando A Alvarez; Matías Parodi
Journal:  Ann Med Surg (Lond)       Date:  2021-03-05

8.  Decision making in emergency laparotomy: the role of predicted life expectancy.

Authors:  J X Choong; E McIlveen; T Quasim; S J Moug
Journal:  BJS Open       Date:  2021-09-06

9.  Critical Analysis of the Causes of In-Hospital Mortality following Colorectal Resection: A Queensland Audit of Surgical Mortality (QASM) Registry Study.

Authors:  Derek Mao; Therese Rey-Conde; John B North; Raymond P Lancashire; Sanjeev Naidu; Terence C Chua
Journal:  World J Surg       Date:  2022-04-04       Impact factor: 3.282

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.