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

<p style="text-align:justify;"> <b>Background:</b> 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 obj...

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Bibliografiske detaljer
Main Authors: Khan, N, Perera, R, Harper, S, Rose, P
Format: Journal article
Sprog:English
Udgivet: BioMed Central 2010
Beskrivelse
Summary:<p style="text-align:justify;"> <b>Background:</b> 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.<br/><br/> <b>Methods:</b> 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.<br/><br/> <b>Results:</b> 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).<br/><br/> <b>Conclusion:</b> 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. </p>