z-logo
open-access-imgOpen Access
Predicting In-Hospital Mortality in Patients Undergoing Complex Gastrointestinal Surgery
Author(s) -
Jan Grendar
Publication year - 2011
Publication title -
archives of surgery
Language(s) - English
Resource type - Journals
eISSN - 1538-3644
pISSN - 0004-0010
DOI - 10.1001/archsurg.2011.296
Subject(s) - medicine , comorbidity , logistic regression , surgery
To compare the performance of Charlson/Deyo, Elixhauser, Disease Staging, and All Patient Refined Diagnosis-Related Groups (APR-DRGs) algorithms for predicting in-hospital mortality after 3 types of major abdominal surgeries: gastric, hepatic, and pancreatic resections.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom