Conclusions P-POSSUM was the most accurate model for predicting post-operative mortality after colorectal cancer surgery .
The original POSSUM model was accurate in predicting post-operative complications
Introduction The Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity  ( POSSUM ) model and its Portsmouth ( P-POSSUM ) and colorectal ( CR-POSSUM ) modifications are used extensively to predict and audit post-operative mortality and morbidity .
This aim of this systematic review was to assess the predictive value of the POSSUM models in colorectal cancer surgery .
A model for national outcome audit in vascular surgery.
OBJECTIVE The aim was to model vascular surgical outcome in a national study using POSSUM scoring . METHODS One hundred and twenty-one British and Irish surgeons completed data question naires on patients undergoing arterial surgery under their care ( mean 12 patients , range 1 - 49 ) in May/June 1998 . A total of 1480 completed data records were available for logistic regression analysis using P-POSSUM methodology . Information collected included all POSSUM data items plus other factors thought to have a significant bearing on patient outcome : " extra items " . The main outcome measures were death and major postoperative complications . The data were checked and inconsistent records were excluded . The remaining 1313 were divided into two sets for analysis . The first " training " set was used to obtain logistic regression models that were applied prospect ively to the second " test " data set . RESULTS using POSSUM data items alone , it was possible to predict both mortality and morbidity after vascular reconstruction using P-POSSUM analysis . The addition of the " extra items " found significant in regression analysis did not significantly improve the accuracy of prediction . It was possible to predict both mortality and morbidity derived from the preoperative physiology components of the POSSUM data items alone . CONCLUSION this study has shown that P-POSSUM methodology can be used to predict outcome after arterial surgery across a range of surgeons in different hospitals and could form the basis of a national outcome audit . It was also possible to obtain accurate models for both mortality and major morbidity from the POSSUM physiology scores alone
Conclusions P-POSSUM was the most accurate model for predicting post-operative mortality after colorectal cancer surgery .
The original POSSUM model was accurate in predicting post-operative complications
Introduction The Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity  ( POSSUM ) model and its Portsmouth ( P-POSSUM ) and colorectal ( CR-POSSUM ) modifications are used extensively to predict and audit post-operative mortality and morbidity .
This aim of this systematic review was to assess the predictive value of the POSSUM models in colorectal cancer surgery .