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Published in: BMC Primary Care 1/2010

Open Access 01-12-2010 | Research article

Adaptation and validation of the Charlson Index for Read/OXMIS coded databases

Authors: Nada F Khan, Rafael Perera, Stephen Harper, Peter W Rose

Published in: BMC Primary Care | Issue 1/2010

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Abstract

Background

The Charlson comorbidity index is widely used in ICD-9 administrative data, however, there is no translation for Read/OXMIS coded data despite increasing use of the General Practice Research Database (GPRD). Our main objective was to translate the Charlson index for use with Read/OXMIS coded data such as the GPRD and test its association with mortality. We also aimed to provide a version of the comorbidity index for other researchers using similar datasets.

Methods

Two clinicians translated the Charlson index into Read/OXMIS codes. We tested the association between comorbidity score and increased mortality in 146 441 patients from the GPRD using proportional hazards models.

Results

This Read/OXMIS translation of the Charlson index contains 3156 codes. Our validation showed a strong positive association between Charlson score and age. Cox proportional models show a positive increasing association with mortality and Charlson score. The discrimination of the logistic regression model for mortality was good (AUC = 0.853).

Conclusion

We have translated a commonly used comorbidity index into Read/OXMIS for use in UK primary care databases. The translated index showed a good discrimination in our study population. This is the first study to develop a co-morbidity index for use with the Read/OXMIS coding system and the GPRD. A copy of the co-morbidity index is provided for other researchers using similar databases.
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Metadata
Title
Adaptation and validation of the Charlson Index for Read/OXMIS coded databases
Authors
Nada F Khan
Rafael Perera
Stephen Harper
Peter W Rose
Publication date
01-12-2010
Publisher
BioMed Central
Published in
BMC Primary Care / Issue 1/2010
Electronic ISSN: 2731-4553
DOI
https://doi.org/10.1186/1471-2296-11-1

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