Comparison of POSSUM and P-POSSUM for risk-adjusted audit of patients undergoing emergency laparotomy

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

BACKGROUND The Physiological and Operative Severity Score for Enumeration of Mortality and Morbidity (POSSUM) scoring system, derived from a heterogeneous population, has been used successfully as an audit tool, but it has appeared to over-predict mortality in low-risk groups for which an alternative system, the Portsmouth predictor equation for mortality (P-POSSUM) was designed and used successfully. In this prospective study, we compared these two equations in predicting death and tested their validity in predicting morbidity and mortality in patients undergoing emergency laparotomy in a tertiary hospital. METHODS Eighty-two patients who underwent emergency laparotomy were included in this study. Actual morbidity and mortality rates were compared with the predicted mortality and morbidity rates using both POSSUM and P-POSSUM equations by linear regression and exponential methods of analysis. RESUlTS POSSUM equation significantly over-predicted both morbidity and mortality when linear regression analysis was used, but predicted well when exponential analysis was used. Prediction of mortality by P-POSSUM was good using both linear and exponential analyses, and exponential method was better than linear regression analysis. CONClUSION P-POSSUM is a better equation than POSSUM in predicting mortality, and exponential method is better than linear regression analysis. Both equations are useful tools for risk-adjusted surgical audit of patients undergoing emergency laparotomy.

Original languageEnglish
Pages (from-to)19-22
Number of pages4
JournalUlusal Travma ve Acil Cerrahi Dergisi
Volume15
Issue number1
Publication statusPublished - 09-03-2009

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Laparotomy
Emergencies
Mortality
Linear Models
Morbidity
Regression Analysis
Tertiary Care Centers
Prospective Studies
Population

All Science Journal Classification (ASJC) codes

  • Surgery
  • Emergency Medicine
  • Anesthesiology and Pain Medicine

Cite this

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abstract = "BACKGROUND The Physiological and Operative Severity Score for Enumeration of Mortality and Morbidity (POSSUM) scoring system, derived from a heterogeneous population, has been used successfully as an audit tool, but it has appeared to over-predict mortality in low-risk groups for which an alternative system, the Portsmouth predictor equation for mortality (P-POSSUM) was designed and used successfully. In this prospective study, we compared these two equations in predicting death and tested their validity in predicting morbidity and mortality in patients undergoing emergency laparotomy in a tertiary hospital. METHODS Eighty-two patients who underwent emergency laparotomy were included in this study. Actual morbidity and mortality rates were compared with the predicted mortality and morbidity rates using both POSSUM and P-POSSUM equations by linear regression and exponential methods of analysis. RESUlTS POSSUM equation significantly over-predicted both morbidity and mortality when linear regression analysis was used, but predicted well when exponential analysis was used. Prediction of mortality by P-POSSUM was good using both linear and exponential analyses, and exponential method was better than linear regression analysis. CONClUSION P-POSSUM is a better equation than POSSUM in predicting mortality, and exponential method is better than linear regression analysis. Both equations are useful tools for risk-adjusted surgical audit of patients undergoing emergency laparotomy.",
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Comparison of POSSUM and P-POSSUM for risk-adjusted audit of patients undergoing emergency laparotomy. / Kumar, Pavan; Rodrigues, Gabriel Sunil.

In: Ulusal Travma ve Acil Cerrahi Dergisi, Vol. 15, No. 1, 09.03.2009, p. 19-22.

Research output: Contribution to journalArticle

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AB - BACKGROUND The Physiological and Operative Severity Score for Enumeration of Mortality and Morbidity (POSSUM) scoring system, derived from a heterogeneous population, has been used successfully as an audit tool, but it has appeared to over-predict mortality in low-risk groups for which an alternative system, the Portsmouth predictor equation for mortality (P-POSSUM) was designed and used successfully. In this prospective study, we compared these two equations in predicting death and tested their validity in predicting morbidity and mortality in patients undergoing emergency laparotomy in a tertiary hospital. METHODS Eighty-two patients who underwent emergency laparotomy were included in this study. Actual morbidity and mortality rates were compared with the predicted mortality and morbidity rates using both POSSUM and P-POSSUM equations by linear regression and exponential methods of analysis. RESUlTS POSSUM equation significantly over-predicted both morbidity and mortality when linear regression analysis was used, but predicted well when exponential analysis was used. Prediction of mortality by P-POSSUM was good using both linear and exponential analyses, and exponential method was better than linear regression analysis. CONClUSION P-POSSUM is a better equation than POSSUM in predicting mortality, and exponential method is better than linear regression analysis. Both equations are useful tools for risk-adjusted surgical audit of patients undergoing emergency laparotomy.

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