Literature DB >> 19246025

Mortality rate prediction by Physiological and Operative Severity Score for the Enumeration of Mortality and Morbidity (POSSUM), Portsmouth POSSUM and Colorectal POSSUM and the development of new scoring systems in Chinese colorectal cancer patients.

Lihuan Ren1, Amit Mani Upadhyay, Liang Wang, Lei Li, Jingqiao Lu, Wei Fu.   

Abstract

BACKGROUND: The aim of this study was to compare the Physiological and Operative Severity Score for the enumeration of Mortality and Morbidity (POSSUM), Portsmouth POSSUM (P-POSSUM), and Colorectal POSSUM (Cr-POSSUM) for predicting surgical mortality in Chinese colorectal cancer patients and to create new scoring systems to achieve better prediction.
METHODS: Data from 903 patients undergoing surgery for colon and rectal cancers from 1992 to 2005 at Peking University Third Hospital were included in this study. POSSUM, P-POSSUM, and Cr-POSSUM were used to predict mortality. Stepwise logistic regression was used to develop the modified P-POSSUM and Cr-POSSUM. Their performances were tested by receiver operating characteristic curve, Hosmer-Lemeshow statistic, and observed:expected ratio.
RESULTS: The actual inpatient mortality was 1.0% (9 of 903). The predicted mortality of POSSUM, P-POSSUM, and Cr-POSSUM were 5.6%, 2.8%, and 4.8%, respectively, which were significantly higher than the actual mortality in our cohort. The predicted mortality of the modified P-POSSUM and Cr-POSSUM was very close to the observed mortality. Both the modified models offered better accuracy than P-POSSUM.
CONCLUSIONS: The predicted mortality of POSSUM, P-POSSUM, and Cr-POSSUM were significantly higher than the observed mortality in our patients. The modified P-POSSUM and Cr-POSSUM models provided an accurate prediction of inpatient mortality rate in colorectal cancer patients in China.

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Year:  2009        PMID: 19246025     DOI: 10.1016/j.amjsurg.2008.06.044

Source DB:  PubMed          Journal:  Am J Surg        ISSN: 0002-9610            Impact factor:   2.565


  10 in total

1.  Development and cross-validation of the in-hospital mortality prediction in advanced cancer patients score: a preliminary study.

Authors:  David Hui; Kelly Kilgore; Bryan Fellman; Diana Urbauer; Stacy Hall; Julieta Fajardo; Wadih Rhondali; Jung Hun Kang; Egidio Del Fabbro; Donna Zhukovsky; Eduardo Bruera
Journal:  J Palliat Med       Date:  2012-06-04       Impact factor: 2.947

2.  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

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.  Audit of pain management following emergency laparotomies in cancer patients: A prospective observational study from an Indian tertiary care hospital.

Authors:  Sumitra G Bakshi; Ajay Gawri; Amit R Panigrahi
Journal:  Indian J Anaesth       Date:  2020-06-01

5.  Australasian ACPGBI risk prediction model for 30-day mortality after colorectal cancer surgery.

Authors:  S Wilkins; K Oliva; E Chowdhury; B Ruggiero; A Bennett; E J Andrews; O Dent; P Chapuis; C Platell; C M Reid; P J McMurrick
Journal:  BJS Open       Date:  2020-09-28

6.  E-PASS score as a useful predictor of postoperative complications and mortality after colorectal surgery in elderly patients.

Authors:  Tetsuro Tominaga; Hiroaki Takeshita; Katsunori Takagi; Masaki Kunizaki; Kazuo To; Takafumi Abo; Shigekazu Hidaka; Atsushi Nanashima; Takeshi Nagayasu; Terumitsu Sawai
Journal:  Int J Colorectal Dis       Date:  2015-11-26       Impact factor: 2.571

7.  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

8.  Emergency Abdominal Surgery in the Elderly: Can We Predict Mortality?

Authors:  Anna E Sharrock; Jenny McLachlan; Robert Chambers; Ian S Bailey; James Kirkby-Bott
Journal:  World J Surg       Date:  2017-02       Impact factor: 3.352

9.  Predictors of one and two years' mortality in patients with colon cancer: A prospective cohort study.

Authors:  José M Quintana; Ane Antón-Ladislao; Nerea González; Santiago Lázaro; Marisa Baré; Nerea Fernández-de-Larrea; Maximino Redondo; Eduardo Briones; Antonio Escobar; Cristina Sarasqueta; Susana García-Gutierrez; Inmaculada Aróstegui
Journal:  PLoS One       Date:  2018-06-28       Impact factor: 3.240

10.  Prognostic scoring systems-validation and their utility in patients with abdominal sepsis in colon peritonitis.

Authors:  G Teleanu; F Iordache; M Beuran
Journal:  J Med Life       Date:  2014-03-25
  10 in total

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