Validation of the estimation of physiologic ability and surgical stress (E-PASS) score in liver surgery

Banz, Vanessa M; Studer, Peter; Inderbitzin, Daniel; Candinas, Daniel (2009). Validation of the estimation of physiologic ability and surgical stress (E-PASS) score in liver surgery. World journal of surgery, 33(6), pp. 1259-65. New York, N.Y.: Springer-Verlag 10.1007/s00268-009-9989-2

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BACKGROUND: The estimation of physiologic ability and surgical stress (E-PASS) has been used to produce a numerical estimate of expected mortality and morbidity after elective gastrointestinal surgery. The aim of this study was to validate E-PASS in a selected cohort of patients requiring liver resections (LR). METHODS: In this retrospective study, E-PASS predictor equations for morbidity and mortality were applied to the prospective data from 243 patients requiring LR. The observed rates were compared with predicted rates using Fisher's exact test. The discriminative capability of E-PASS was evaluated using receiver-operating characteristic (ROC) curve analysis. RESULTS: The observed and predicted overall mortality rates were both 3.3% and the morbidity rates were 31.3 and 26.9%, respectively. There was a significant difference in the comprehensive risk scores for deceased and surviving patients (p = 0.043). However, the scores for patients with or without complications were not significantly different (p = 0.120). Subsequent ROC curve analysis revealed a poor predictive accuracy for morbidity. CONCLUSIONS: The E-PASS score seems to effectively predict mortality in this specific group of patients but is a poor predictor of complications. A new modified logistic regression might be required for LR in order to better predict the postoperative outcome.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Gastro-intestinal, Liver and Lung Disorders (DMLL) > Clinic of Visceral Surgery and Medicine > Visceral Surgery

UniBE Contributor:

Inderbitzin, Daniel and Candinas, Daniel

ISSN:

0364-2313

Publisher:

Springer-Verlag

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 15:13

Last Modified:

26 Jun 2018 14:06

Publisher DOI:

10.1007/s00268-009-9989-2

PubMed ID:

19290570

Web of Science ID:

000265943100025

BORIS DOI:

10.7892/boris.32301

URI:

https://boris.unibe.ch/id/eprint/32301 (FactScience: 197360)

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