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 new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study.
OBJECTIVE To develop and vali date a new Simplified Acute Physiology Score , the SAPS II , from a large sample of surgical and medical patients , and to provide a method to convert the score to a probability of hospital mortality . DESIGN AND SETTING The SAPS II and the probability of hospital mortality were developed and vali date d using data from consecutive admissions to 137 adult medical and /or surgical intensive care units in 12 countries . PATIENTS The 13,152 patients were r and omly divided into developmental ( 65 % ) and validation ( 35 % ) sample s. Patients younger than 18 years , burn patients , coronary care patients , and cardiac surgery patients were excluded . OUTCOME MEASURE Vital status at hospital discharge . RESULTS The SAPS II includes only 17 variables : 12 physiology variables , age , type of admission ( scheduled surgical , unscheduled surgical , or medical ) , and three underlying disease variables ( acquired immunodeficiency syndrome , metastatic cancer , and hematologic malignancy ) . Goodness-of-fit tests indicated that the model performed well in the developmental sample and vali date d well in an independent sample of patients ( P = .883 and P = .104 in the developmental and validation sample s , respectively ) . The area under the receiver operating characteristic curve was 0.88 in the developmental sample and 0.86 in the validation sample . CONCLUSION The SAPS II , based on a large international sample of patients , provides an estimate of the risk of death without having to specify a primary diagnosis . This is a starting point for future evaluation of the efficiency of intensive care units
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 .