Adaptation and validation of the Charlson Index for Read/OXMIS coded databases
<p>Abstract</p> <p>Background</p> <p>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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2010-01-01
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| Series: | BMC Family Practice |
| Online Access: | http://www.biomedcentral.com/1471-2296/11/1 |
| Summary: | <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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).</p> <p>Conclusion</p> <p>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> |
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| ISSN: | 1471-2296 |