Risk prediction scores for postoperative mortality after esophagectomy: validation of different models

J Gastrointest Surg. 2009 Apr;13(4):611-8. doi: 10.1007/s11605-008-0761-y. Epub 2008 Dec 3.

Abstract

Background: Different prediction models for operative mortality after esophagectomy have been developed. The aim of this study is to independently validate prediction models from Philadelphia, Rotterdam, Munich, and the ASA.

Methods: The scores were validated using logistic regression models in two cohorts of patients undergoing esophagectomy for cancer from Switzerland (n = 170) and Australia (n = 176).

Results: All scores except ASA were significantly higher in the Australian cohort. There was no significant difference in 30-day mortality or in-hospital death between groups. The Philadelphia and Rotterdam scores had a significant predictive value for 30-day mortality (p = 0.001) and in-hospital death (p = 0.003) in the pooled cohort, but only the Philadelphia score had a significant prediction value for 30-day mortality in both cohorts. Neither score showed any predictive value for in-hospital death in Australians but were highly significant in the Swiss cohort. ASA showed only a significant predictive value for 30-day mortality in the Swiss. For in-hospital death, ASA was a significant predictor in the pooled and Swiss cohorts. The Munich score did not have any significant predictive value whatsoever.

Conclusion: None of the scores can be applied generally. A better overall predictive score or specific prediction scores for each country should be developed.

Publication types

  • Validation Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Alanine Transaminase / blood
  • Aspartate Aminotransferases / blood
  • Australia / epidemiology
  • Esophageal Diseases / mortality
  • Esophageal Diseases / surgery
  • Esophagectomy / mortality*
  • Female
  • Health Status Indicators
  • Hospital Mortality
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Prognosis
  • Respiration, Artificial
  • Risk Assessment
  • Statistics, Nonparametric
  • Switzerland / epidemiology

Substances

  • Aspartate Aminotransferases
  • Alanine Transaminase