Literature DB >> 17876874

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

Lian-An Ding1, Li-Qun Sun, Shuang-Xi Chen, Lin-Lin Qu, Dong-Fang Xie.   

Abstract

AIM: To establish a scoring system for predicting the incidence of postoperative complications and mortality in general surgery based on the physiological and operative severity score for the enumeration of mortality and morbidity (POSSUM), and to evaluate its efficacy.
METHODS: Eighty-four patients with postoperative complications or death and 172 patients without postoperative complications, who underwent surgery in our department during the previous 2 years, were retrospectively analyzed by logistic regression. Fifteen indexes were investigated including age, cardiovascular function, respiratory function, blood test results, endocrine function, central nervous system function, hepatic function, renal function, nutritional status, extent of operative trauma, and course of anesthesia. Modified POSSUM (M-POSSUM) was developed using significant risk factors with its efficacy evaluated.
RESULTS: The significant risk factors were found to be age, cardiovascular function, respiratory function, hepatic function, renal function, blood test results, endocrine function, nutritional status, duration of operation, intraoperative blood loss, and course of anesthesia. These factors were all included in the scoring system. There were significant differences in the scores between the patients with and without postoperative complications, between the patients died and survived with complications, and between the patients died and survived without complications. The receiver operating characteristic curves showed that the M-POSSUM could accurately predict postoperative complications and mortality.
CONCLUSION: M-POSSUM correlates well with postoperative complications and mortality, and is more accurate than POSSUM.

Entities:  

Mesh:

Year:  2007        PMID: 17876874      PMCID: PMC4434638          DOI: 10.3748/wjg.v13.i38.5090

Source DB:  PubMed          Journal:  World J Gastroenterol        ISSN: 1007-9327            Impact factor:   5.742


  17 in total

1.  The Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity (POSSUM).

Authors:  W D Neary; B P Heather; J J Earnshaw
Journal:  Br J Surg       Date:  2003-02       Impact factor: 6.939

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

Authors:  Thangiah Ramkumar; Vivien Ng; Lucy Fowler; Ridzuan Farouk
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3.  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

Review 4.  Quality of complication reporting in the surgical literature.

Authors:  Robert C G Martin; Murray F Brennan; David P Jaques
Journal:  Ann Surg       Date:  2002-06       Impact factor: 12.969

5.  Predicting postoperative morbidity by clinical assessment.

Authors:  P M Markus; J Martell; I Leister; O Horstmann; J Brinker; H Becker
Journal:  Br J Surg       Date:  2005-01       Impact factor: 6.939

6.  Use of the APACHE II scoring system to determine mortality of gynecologic oncology patients in the intensive care unit.

Authors:  L Van Le; S Fakhry; L A Walton; D H Moore; W C Fowler; R Rutledge
Journal:  Obstet Gynecol       Date:  1995-01       Impact factor: 7.661

7.  Evaluation of the P-POSSUM mortality prediction algorithm in Australian surgical intensive care unit patients.

Authors:  Nicole Organ; Thomas Morgan; Balasubramanian Venkatesh; David Purdie
Journal:  ANZ J Surg       Date:  2002-10       Impact factor: 1.872

8.  Early indicators of prolonged intensive care unit stay: impact of illness severity, physician staffing, and pre-intensive care unit length of stay.

Authors:  Thomas L Higgins; William T McGee; Jay S Steingrub; John Rapoport; Stanley Lemeshow; Daniel Teres
Journal:  Crit Care Med       Date:  2003-01       Impact factor: 7.598

9.  Active management of the dying patient.

Authors:  K Daffurn; R Kerridge; K M Hillman
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Journal:  World J Emerg Surg       Date:  2006-04-04       Impact factor: 5.469

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Review 2.  Anaesthetic interventions for prevention of awareness during surgery.

Authors:  Anthony G Messina; Michael Wang; Marshall J Ward; Chase C Wilker; Brett B Smith; Daniel P Vezina; Nathan Leon Pace
Journal:  Cochrane Database Syst Rev       Date:  2016-10-18

Review 3.  Failure to rescue patients from early critical complications of oesophagogastric cancer surgery.

Authors:  Elroy P Weledji; Vincent Verla
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