• Dirk J Bosch, Bastiaan B Pultrum, Gertrude H de Bock, Jurjen K Oosterhuis, Michael G G Rodgers, and John T M Plukker.
• Department of Surgery/Surgical Oncology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, PO Box 30001, 9700 RB Groningen, The Netherlands.
• Am. J. Surg. 2011 Sep 1;202(3):303-9.

BackgroundDifferent risk-prediction models have been developed, but none is generally accepted in selecting patients for esophagectomy. This study evaluated 5 most frequently used risk-prediction models, including the American Society of Anesthesiologists, Portsmouth-modified Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity (P-POSSUM), and the adjusted version for Oesophagogastric surgery (O-POSSUM), Charlson and the Age adjusted Charlson score to assess postoperative mortality after transthoracic esophagectomy.MethodsData were obtained from 278 consecutive esophageal cancer patients between 1991 and 2007. Performance in predicting postoperative mortality (in-hospital and 90-day mortality) were analyzed regarding calibration (Hosmer and Lemeshow goodness-of-fit test) and discrimination (area under the receiver operator curve).ResultsThe Hosmer and Lemeshow goodness-of-fit test was applied to each model and showed a significant outcome for only the P-POSSUM score (P = .035). The receiver operator curve indicated discriminatory power for P-POSSUM (.766) and for O-POSSUM (.756), other models did not exceed the minimal surface of .7.ConclusionsPostoperative mortality after esophagectomy was best predicted by O-POSSUM. However, it still overpredicted postoperative mortality.Copyright © 2011 Elsevier Inc. All rights reserved.

27 keywords...

hide…