Evaluation of P-POSSUM and CR-POSSUM scores in patients with colorectal cancer undergoing resection

World J Surg. 2006 Dec;30(12):2266-9. doi: 10.1007/s00268-005-0675-8.


Introduction: The aim of this study was to evaluate the predictive accuracy of P-POSSUM and CR-POSSUM models on patients undergoing colorectal resection.

Methods: P-POSSUM and CR-POSSUM predictor equations for mortality were applied retrospectively to 321 patients who had undergone colorectal resection for cancer. P-POSSUM and CR-POSSUM scores were validated by assessing their calibration and discrimination. Calibration was assessed using the Hosmer-Lemeshow goodness-of-fit test and the corresponding calibration curves. Evaluation of the discriminative capability of both models was performed using receiver-operating characteristic (ROC) curve analysis.

Results: Overall, 22 deaths were observed. CR-POSSUM predicted 25 deaths (chi2 = 12.20, P = 0.13), and P-POSSUM predicted 29 deaths (chi2 =18.85, P = 0.002). ROC curves analysis revealed that CR-POSSUM has reasonable discriminatory power for mortality.

Conclusions: These data suggest that CR-POSSUM may provide a better estimate of the risk of mortality for patients who undergoing colorectal resection.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Colorectal Neoplasms / mortality*
  • Colorectal Neoplasms / surgery*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Models, Statistical*
  • Predictive Value of Tests
  • Reproducibility of Results
  • Retrospective Studies
  • Severity of Illness Index*