Literature DB >> 16421662

A comparison of POSSUM, P-POSSUM and colorectal POSSUM for the prediction of postoperative mortality in patients undergoing colorectal resection.

Thangiah Ramkumar1, Vivien Ng, Lucy Fowler, Ridzuan Farouk.   

Abstract

PURPOSE: POSSUM (Physiologic and Operative Severity Score for enUmeration of Morbidity & Mortality) and P-POSSUM have been validated as scoring tools for the prediction of postoperative complications in general surgical patients. More recently a colorectal-specific POSSUM has been developed for mortality prediction. This study was designed to evaluate and compare the accuracy for mortality prediction of POSSUM, P-POSSUM, and colorectal POSSUM after major and complex major colorectal procedures.
METHODS: The relationship between the observed and expected morbidity and mortality was examined in 347 consecutive patients (321 elective, 26 urgent) undergoing a major or complex major colorectal resection using POSSUM, P-POSSUM, and Colorectal POSSUM. The accuracy of using these scoring tools to predict mortality was assessed using Receiver Operator Characteristic curve analysis.
RESULTS: A total of 347 consecutive patients (median age, 69 (range, 34-92) years) were assessed. Seventy-one patients (20.5 percent) suffered a postoperative complication and 15 patients (4.3 percent) died. The observed: expected POSSUM ratio for morbidity was 0.71 and mortality 0.68. The area under curve from Receiver Operator Characteristic curve analysis for POSSUM was 0.752. The observed:expected mortality ratio for P-POSSUM was 0.71, and the area under curve from Receiver Operator Characteristic curve analysis was 0.749. The observed:expected mortality ratio for colorectal POSSUM was 0.75, and the area under the curve from Receiver Operator Characteristic curve analysis was 0.781.
CONCLUSIONS: Colorectal POSSUM provides comparable prediction of mortality risk after colorectal resection compared with POSSUM and P-POSSUM.

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Year:  2006        PMID: 16421662     DOI: 10.1007/s10350-005-0290-7

Source DB:  PubMed          Journal:  Dis Colon Rectum        ISSN: 0012-3706            Impact factor:   4.585


  10 in total

1.  Modified physiological and operative score for the enumeration of mortality and morbidity risk assessment model in general surgery.

Authors:  Lian-An Ding; Li-Qun Sun; Shuang-Xi Chen; Lin-Lin Qu; Dong-Fang Xie
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2.  A Four-Probiotics Regimen Reduces Postoperative Complications After Colorectal Surgery: A Randomized, Double-Blind, Placebo-Controlled Study.

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Journal:  World J Surg       Date:  2015-11       Impact factor: 3.352

3.  Management of obstructive colorectal cancer: evaluation of preoperative bowel decompression using ileus tube drainage.

Authors:  Tsukasa Hotta; Katsunari Takifuji; Yasuhito Kobayashi; Katsuyoshi Tabuse; Kohsuke Shimada; Tsunehiro Maeda; Yoshihiro Nakatani; Osamu Fukiage; Hiroki Yamaue
Journal:  Surg Today       Date:  2012-01-13       Impact factor: 2.549

Review 4.  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

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.  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

7.  Anesthesia and perioperative management of colorectal surgical patients - A clinical review (Part 1).

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8.  Prediction of Postoperative Survival in Young Colorectal Cancer Patients: A Cohort Study Based on the SEER Database.

Authors:  Sheng Pan; Wenchao Mei; Linfei Huang; Yan'e Tao; Jing Xu; Yuelu Ruan
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9.  Validity of the CR-POSSUM model in surgery for colorectal cancer in Spain (CCR-CARESS study) and comparison with other models to predict operative mortality.

Authors:  Marisa Baré; Manuel Jesús Alcantara; Maria José Gil; Pablo Collera; Marina Pont; Antonio Escobar; Cristina Sarasqueta; Maximino Redondo; Eduardo Briones; Paula Dujovne; Jose Maria Quintana
Journal:  BMC Health Serv Res       Date:  2018-01-29       Impact factor: 2.655

10.  Short- and long-term outcomes for primary anastomosis versus Hartmann's procedure in Hinchey III and IV diverticulitis: a multivariate logistic regression analysis of risk factors.

Authors:  Ivan Facile; Raffaele Galli; Alberto Posabella; Raoul André Droeser; Pavlo Dinter; Robert Rosenberg; Markus Von Flüe; Daniel Christian Steinemann
Journal:  Langenbecks Arch Surg       Date:  2020-10-20       Impact factor: 3.445

  10 in total

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