New ICD-10 version of the Multipurpose Australian Comorbidity Scoring System outperformed Charlson and Elixhauser comorbidities in an older population

J Clin Epidemiol. 2016 Nov:79:62-69. doi: 10.1016/j.jclinepi.2016.04.004. Epub 2016 Apr 19.

Abstract

Objectives: To translate, validate, and compare performance of an International Classification of Diseases, 10th revision (ICD-10) version of the Multipurpose Australian Comorbidity Scoring System (MACSS) against commonly used comorbidity measures in the prediction of short- and long-term mortality, 28-day all-cause readmission, and length of stay (LOS).

Study design and setting: Hospitalization and death data were linked for 25,374 New South Wales residents aged 65 years and older, admitted with a hip fracture between 2008 and 2012. Comorbidities were identified according to the MACSS, Charlson, and Elixhauser definitions using ICD-10 coding algorithms. Regression models were fitted and area under the curve (AUC) and Akaike Information Criterion assessed.

Results: The ICD-10 MACSS had excellent discriminating ability in predicting inhospital mortality (AUC = 0.81) and 30-day mortality (AUC = 0.80), acceptable prediction of 1-year mortality (AUC = 0.76) but poor discrimination for 28-day readmission and LOS. The MACSS algorithm provided better model fit than either Charlson or Elixhauser algorithm for all outcomes.

Conclusion: This work presents a rigorous translation of the ICD-9 MACSS for use with ICD-10 coded data. The updated ICD-10 MACSS outperformed both Charlson and Elixhauser measures in an older population and is recommended for use with large administrative data sets in predicting mortality outcomes.

Keywords: Charlson comorbidity index; Comorbidity; Elixhauser; ICD-10; MACSS; Mortality.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Algorithms*
  • Comorbidity
  • Female
  • Hip Fractures / epidemiology*
  • Hospital Mortality
  • Humans
  • International Classification of Diseases / standards
  • International Classification of Diseases / statistics & numerical data*
  • Length of Stay / statistics & numerical data
  • Male
  • New South Wales
  • Patient Readmission / statistics & numerical data
  • Reproducibility of Results
  • Risk Assessment / methods
  • Risk Assessment / standards
  • Risk Assessment / statistics & numerical data