Adaptation and validation of the Charlson Index for Read/OXMIS coded databases. Khan, N. F., Perera, R., Harper, S., & Rose, P. W. BMC family practice, 11:1, 2010.
doi  abstract   bibtex   
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.
@article{khan_adaptation_2010,
	title = {Adaptation and validation of the {Charlson} {Index} for {Read}/{OXMIS} coded databases},
	volume = {11},
	issn = {1471-2296},
	doi = {10.1186/1471-2296-11-1},
	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.},
	language = {eng},
	journal = {BMC family practice},
	author = {Khan, Nada F. and Perera, Rafael and Harper, Stephen and Rose, Peter W.},
	year = {2010},
	pmid = {20051110},
	pmcid = {PMC2820468},
	keywords = {Clinical Medicine, Comorbidity, Databases, Factual, Family Practice, History, 20th Century, Humans, Logistic Models, Primary Health Care, Proportional Hazards Models, Software, Vocabulary, Controlled, mortality},
	pages = {1}
}

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