Comparison of the Elixhauser and Charlson/Deyo Methods of Comorbidity Measurement in Administrative Data

By D. Southern, Hude Quan, W. Ghali. Medical Care, 2004

597 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine, Epidemiology

View Paper: https://www.semanticscholar.org/paper/7d2ad032b67430d27de766a501db054d3d98b367

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cardiology and Cardiovascular Medicine

1. Peter C. Austin
2. Roger Mundry

In Epidemiology

1. Hude Quan
2. Peter C. Austin
3. Alessandro Gasparini
4. Roger Mundry

Citations in the corpus

• Patient race, site of care, and 30-day readmission rates among elderly Americans (2011, unknown): “Major teaching hospital 82 (17) 203 (5) .”
• A Modification of the Elixhauser Comorbidity Measures Into a Point System for Hospital Death Using Administrative Data (2009, methodology): “The Hosmer-Lemeshow statistic (calculated using expected risk by deciles) significantly decreased for model using all 30 Elixhauser groups, the Elixhauser score, and the Elixhauser score expressed as a natural spline (Hosmer Lemeshow statistic values [degrees of freedom] of 1797 [8], 1564 [7], and 3”
• Effect of Emergency Department Crowding on Outcomes of Admitted Patients (2012, unknown): “(%)* 1 3 (15) 19 (49) 2 2 (10) 7 (18) 2 15 (75) 13 (33) Hospital-level profile of ED visitors Age, mean (SD), y 39.”
• Development and validation of a prognostic index for 4-year mortality in older adults. (2006, background): “3 232/2780 (8) 187/1822 (10) 4 968/2933 ( 33 ) 733/2175 (34)”