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Adaptation and validation of the Charlson Index for Read/OXMIS coded databases
Nada F Khan1, Rafael Perera, Stephen Harper
1Department of Primary Health Care, University of Oxford, Old Road Campus, Oxford OX3 7LF, UK. nada.khan@dphpc.ox.ac.uk
BMC Family Practice
|January 7, 2010
Summary
This study translates the Charlson Comorbidity Index for Read/OXMIS codes, enhancing its use in UK primary care databases like the General Practice Research Database (GPRD). The validated index shows a strong association with mortality.
Area of Science:
- Clinical Epidemiology
- Health Informatics
- Primary Care Research
Background:
- The Charlson Comorbidity Index (CCI) is vital for risk adjustment in administrative data but lacks a Read/OXMIS coded version.
- The General Practice Research Database (GPRD) increasingly uses Read/OXMIS coding, necessitating a CCI translation.
- This study aimed to translate and validate the CCI for Read/OXMIS data to assess mortality association.
Observation:
- A comprehensive translation of the CCI into 3156 Read/OXMIS codes was developed by clinicians.
- Validation in 146,441 GPRD patients demonstrated a strong positive correlation between CCI score and age.
- Cox proportional hazards models confirmed a significant positive association between CCI score and mortality risk.
Findings:
- The translated CCI demonstrated good predictive accuracy for mortality, with an Area Under the Curve (AUC) of 0.853 in logistic regression models.
- The Read/OXMIS coded CCI effectively predicts mortality in UK primary care populations.
- This represents the first validated CCI translation for Read/OXMIS coded datasets.
Implications:
- Provides a crucial tool for researchers utilizing UK primary care databases (e.g., GPRD) for comorbidity assessment and risk stratification.
- Facilitates more accurate comorbidity measurement and mortality prediction in electronic health records using Read/OXMIS codes.
- Enables wider application of the Charlson Comorbidity Index in research settings employing Read/OXMIS coded data, promoting consistency and comparability.
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