Titre
Cross-national comparative performance of three versions of the ICD-10 Charlson index
Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Périodique
Auteur(s)
Sundararajan, Vijaya
Auteure/Auteur
Quan, Hude
Auteure/Auteur
Halfon, Patricia
Auteure/Auteur
Fushimi, Kiyohide
Auteure/Auteur
Luthi, Jean-Christophe
Auteure/Auteur
Burnand, Bernard
Auteure/Auteur
Ghali William, A.
Auteure/Auteur
Groupes de travail
International methodology consortium for coded health information
Liens vers les personnes
Liens vers les unités
ISSN
0025-7079
Statut éditorial
Publié
Date de publication
2007
Volume
45
Numéro
12
Première page
1210
Dernière page/numéro d’article
1215
Peer-reviewed
Oui
Langue
anglais
Résumé
OBJECTIVE:: The Charlson comorbidity index has been widely used for risk adjustment in outcome studies using administrative health data. Recently, 3 International Statistical Classification of Diseases, Tenth Revision (ICD-10) translations have been published for the Charlson comorbidities. This study was conducted to compare the predictive performance of these versions (the Halfon, Sundararajan, and Quan versions) of the ICD-10 coding algorithms using data from 4 countries. METHODS:: Data from Australia (N = 2000-2001, max 25 diagnosis codes), Canada (N = 2002-2003, max 16 diagnosis codes), Switzerland (N = 1999-2001, unlimited number of diagnosis codes), and Japan (N = 2003, max 11 diagnosis codes) were analyzed. Only the first admission for patients age 18 years and older, with a length of stay of >/=2 days was included. For each algorithm, 2 logistic regression models were fitted with hospital mortality as the outcome and the Charlson individual comorbidities or the Charlson index score as independent variables. The c-statistic (representing the area under the receiver operating characteristic curve) and its 95% probability bootstrap distribution were employed to evaluate model performance. RESULTS:: Overall, within each population's data, the distribution of comorbidity level categories was similar across the 3 translations. The Quan version produced slightly higher median c-statistics than the Halfon or Sundararajan versions in all datasets. For example, in Japanese data, the median c-statistics were 0.712 (Quan), 0.709 (Sundararajan), and 0.694 (Halfon) using individual comorbidity coefficients. In general, the probability distributions between the Quan and the Sundararajan versions overlapped, whereas those between the Quan and the Halfon version did not. CONCLUSIONS:: Our analyses show that all of the ICD-10 versions of the Charlson algorithm performed satisfactorily (c-statistics 0.70-0.86), with the Quan version showing a trend toward outperforming the other versions in all data sets.
PID Serval
serval:BIB_7A54938D7E88
PMID
Date de création
2008-02-05T11:22:18.575Z
Date de création dans IRIS
2025-05-20T23:30:54Z