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Related Experiment Videos

Risk adjustment in outcome assessment: the Charlson comorbidity index

W D'Hoore1, C Sicotte, C Tilquin

  • 1Université Catholique de Louvain, Faculté de Médecine, Département des Sciences Hospitalières et Médico-Sociales, Bruxelles, Belgium.

Methods of Information in Medicine
|November 1, 1993
PubMed
Summary

The Charlson Index effectively measures comorbid disease burden in administrative databases. This comorbidity index strongly predicts inpatient death risk for patients with major health conditions.

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Area of Science:

  • Health Services Research
  • Epidemiology
  • Biostatistics

Background:

  • Measuring comorbid disease burden is crucial for risk adjustment in healthcare outcomes research.
  • Administrative databases offer large-scale patient data but require validated comorbidity measures.
  • The Charlson Index is a widely used comorbidity measure, but its adaptation to ICD-9 codes for administrative data needed evaluation.

Purpose of the Study:

  • To adapt the Charlson Index using International Classification of Disease (ICD-9) codes.
  • To assess the utility of this adapted comorbidity index in predicting inpatient death.
  • To evaluate the predictive accuracy of the comorbidity index in a large patient cohort.

Main Methods:

  • Utilized the MED-ECHO database from Quebec, including 62,456 patients with ischemic heart disease, congestive heart failure, stroke, or bacterial pneumonia.

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  • Adapted the Charlson Index to ICD-9 codes for comorbidity measurement.
  • Employed multiple logistic regression to analyze predictors of inpatient death, including gender, principal diagnosis, age, and the comorbidity index.

    • Main Results:

    • The adapted comorbidity index demonstrated a consistent and strong association with inpatient death.
    • The area under the receiver-operating curve reached 0.83 when considering gender, age, comorbidity, and principal diagnoses.
    • Various transformations of the comorbidity score were assessed for their impact on predictive accuracy.

    Conclusions:

    • The Charlson Index, adapted to ICD-9 codes, is a valuable tool for risk adjustment in outcomes research using administrative databases.
    • This comorbidity index effectively predicts inpatient mortality across diverse patient populations.
    • The findings support the use of the Charlson Index for improving the accuracy of health outcomes research.