Comorbidity adjustment index for the international classification of diseases, 10th revision

Robert Antonio Ramiarina1, Beatriz Luiza Ramiarina, Renan Moritz V R Almeida

  • 1Ministério da Saúde, Rio de Janeiro, RJ, Brasil.

Revista De Saude Publica
|August 19, 2008
PubMed

Insights

A new risk index, similar to the Charlson comorbidity index, effectively predicts in-hospital mortality. This tool aids in risk assessment when comprehensive hospital data is unavailable.

Area of Science:

  • Clinical Epidemiology
  • Health Services Research

Background:

  • The Charlson Comorbidity Index (CCI) is widely used for risk adjustment in healthcare research.
  • Adapting existing indices to specific healthcare settings and data availability is crucial for accurate risk assessment.

Purpose of the Study:

  • To develop a Charlson-like comorbidity index using clinical conditions and weights from the original CCI.
  • To evaluate the index's ability to predict in-hospital mortality.

Main Methods:

  • Adapted clinical conditions and weights from the International Classification of Diseases, 10th revision.
  • Applied the index to 3,733 adult hospital admissions in Rio de Janeiro, Brazil (2001-2003).
  • Developed logistic regression models to predict in-hospital mortality using the new index and other variables.

Main Results:

  • The developed risk index effectively discriminated in-hospital death, with an Area Under the Curve (AUC) of 0.86 for the full model.
  • A risk score of 1 or greater was observed in 22.3% of patients, associated with a 4.5% mortality rate.
  • Each unit increase in the risk score correlated with a nearly 50% increase in the odds of in-hospital death.

Conclusions:

  • The developed risk index demonstrates strong predictive power for in-hospital mortality.
  • This index is a valuable tool for risk adjustment, particularly when detailed hospital databases are limited.
Abstract

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