Predicting in-hospital mortality in patients undergoing complex gastrointestinal surgery: determining the optimal risk adjustment method.

Abstract

Different comorbidity algorithms were validated in the surgical setting.

The Disease Staging and APR-DRGs algorithms were highly accurate.

For commonly used algorithms such as Charlson/Deyo and Elixhauser, the latter showed higher accuracy.

Full Text

• DOI - Archives of surgery (Chicago, Ill. : 1960) (DOI)
• Ovid Technologies, Inc. - full-text online
• Lippincott Williams & Wilkins - full-text online
• HighWire Press - full-text online
• EBSCO - full-text online

Subjects

• Aged
• Algorithms
• Comorbidity
• Cross-Sectional Studies
• Diagnosis-Related Groups
• Digestive System Surgical Procedures
• Female
• Gastrointestinal Diseases
• Hospital Mortality
• Humans
• Liver Diseases
• Logistic Models
• Male
• Middle Aged
• Pancreatic Diseases
• Risk Adjustment

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Authors

• Jan Grendar
• Abdel A Shaheen
• Robert P Myers
• Robyn Parker
• Charles M Vollmer
• Chad G Ball
• May Lynn Quan
• Gilaad G Kaplan
• Tariq Al-Manasra
• Elijah Dixon

Publication date

2012-02-21

Journal

Language

Eng.

Copyright

Archives of surgery (Chicago, Ill. : 1960)

Department of Surgery, University of Calgary, Calgary, Alberta, Canada.

Release reference

Arch Surg. 2012 Feb;147(2):126-35

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