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Validation and adaptation of the Charlson Comorbidity Index using administrative data from the Colombian health
Henry Oliveros1,2, Giancarlo Buitrago3
1PhD Program in Clinical Epidemiology, Department of Clinical Epidemiology and Biostatistics. (PhD cand.), Pontificia Universidad Javeriana, Bogotá, Colombia henryor@unisabana.edu.co.
Insights
The Charlson Comorbidity Index (CCI) was validated for Colombian hospital patients. A modified CCI showed adequate predictive value for 1-year mortality, supporting its use in Colombia.
Area of Science:
- Health Services Research
- Epidemiology
- Medical Informatics
Background:
- The Charlson Comorbidity Index (CCI) is a widely used tool for predicting mortality.
- Validating the CCI in diverse populations, such as Colombia, is crucial for its accurate application.
- Administrative databases offer a valuable resource for large-scale health research.
Purpose of the Study:
- To validate the Charlson Comorbidity Index (CCI) for the Colombian population.
- To assess the predictive value of different CCI versions for 1-year mortality.
- To adapt and evaluate a modified CCI for Colombian patients.
Main Methods:
- Retrospective cohort study using administrative data from Colombian health insurers (2016).
- Inclusion of 3,849,849 adult patients admitted to hospitals.
- Analysis of 1-year mortality using death certificates and comparison of CCI model calibration and discrimination.
Main Results:
- The study analyzed 3,849,849 patients, with 46,429 deaths within 1 year (1.21%).
- Three versions of the CCI demonstrated strong discriminatory power for 1-year mortality.
- The area under the ROC curve ranged from 0.906 to 0.909 across the tested CCI models.
Conclusions:
- Adapting the CCI using 14 predictive variables resulted in adequate 1-year mortality prediction for hospitalized patients.
- The modified CCI demonstrates robust predictive value in the Colombian population.
- These findings support the implementation of a modified CCI for clinical and research purposes in Colombia.
Objective:
To validate the Charlson Comorbidity Index (CCI) for the Colombian population using administrative databases from the health insurance system.
Design:
Retrospective cohort study.
Setting:
Database reports of events related to services that insurers provided (Health Promoter Enterprises, EPS in Spanish) in the Colombian health system, which covered 22.19 million residents in 2016.
Participants:
The study cohort comprised 3 849 849 patients aged 18 years and up admitted to the Colombian hospitals between 1 January and 31 December 2016.
Primary Outcome:
The study aimed to gauge the CCI's predictive value for mortality by comparing the calibration and discrimination of three different versions of the index, with mortality information obtained from death certificates, including date of death and diagnoses associated with cause of death. Follow-up was conducted for at least 1 year.
Results:
Altogether, 46 429 patients died within 1 year (1.21%). Discriminatory power in predicting 1-year mortality was calculated for three versions of the ICC. In the original CCI model, the area under the Receiver operating characteristic (ROC) curve was 0.906 (95% CI (0.906 to 0.907), p<0.001). In the version for Colombia, it was 0.908 (95% CI (0.908 to 0.909), p<0.001) and for the new model it was 0.909 (95% CI (0.908 to 0.910), p<0.001).
Conclusions:
Adapting the CCI based on the 14 predictive variables of the new model resulted in an adequate predictive value for 1-year mortality in patients who were hospitalised for all causes. These findings support the use of the modified CCI in the Colombian population.
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