Journal of Clinical Epidemiology
Volume 57, Issue 12 , Pages 1288-1294, December 2004

New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality

  • Vijaya Sundararajan

      Affiliations

    • Victorian Department of Human Services, Level 18, 120 Spencer Street, Melbourne, 3000 Victoria, Australia
    • Corresponding Author InformationCorresponding author. Tel.: +61 03 9637 4997; fax: +61 03 9637 4763.
  • ,
  • Toni Henderson

      Affiliations

    • Victorian Department of Human Services, Level 18, 120 Spencer Street, Melbourne, 3000 Victoria, Australia
  • ,
  • Catherine Perry

      Affiliations

    • Victorian Department of Human Services, Level 18, 120 Spencer Street, Melbourne, 3000 Victoria, Australia
  • ,
  • Amanda Muggivan

      Affiliations

    • Victorian Department of Human Services, Level 18, 120 Spencer Street, Melbourne, 3000 Victoria, Australia
  • ,
  • Hude Quan

      Affiliations

    • Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
  • ,
  • William A. Ghali

      Affiliations

    • Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
    • Department of Medicine, University of Calgary, Calgary, Alberta, Canada

Accepted 8 March 2004.

Abstract 

Background and objective

The ICD-9-CM adaptation of the Charlson comorbidity score has been a valuable resource for health services researchers. With the transition into ICD-10 coding worldwide, an ICD-10 version of the Deyo adaptation was developed and validated using population-based hospital data from Victoria, Australia.

Methods

The algorithm was translated from ICD-9-CM into ICD-10-AM (Australian modification) in a multistep process. After a mapping algorithm was used to develop an initial translation, these codes were manually examined by the coding experts and a general physician for face validity. Because the ICD-10 system is country specific, our goal was to keep many of the translated code at the three-digit level for generalizability of the new index.

Results

There appears to be little difference in the distribution of the Charlson Index score between the two versions. A strong association between increasing index scores and mortality exists: the area under the ROC curve is 0.865 for the last year using the ICD-9-CM version and remains high, at 0.855, for the ICD-10 version.

Conclusion

This work represents the first rigorous adaptation of the Charlson comorbidity index for use with ICD-10 data. In comparison with a well-established ICD-9-CM coding algorithm, it yields closely similar prevalence and prognosis information by comorbidity category.

Keywords: Comorbidity, Charlson, ICD-10, Administrative data

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PII: S0895-4356(04)00164-7

doi:10.1016/j.jclinepi.2004.03.012

Journal of Clinical Epidemiology
Volume 57, Issue 12 , Pages 1288-1294, December 2004