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Performance of comorbidity measures to predict stroke and death in a community-dwelling, hypertensive Medicaid
Jun Tang1, Jim Y Wan, James E Bailey
1Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tenn, USA.
Insights
Charlson and Elixhauser comorbidity measures effectively predict stroke and death in hypertension patients. Charlson comorbidities are best for baseline data, while Elixhauser comorbidities are better for short follow-up periods.
Area of Science:
- Epidemiology
- Cardiovascular Disease Research
- Health Services Research
Background:
- Comorbidity indices like Charlson and Elixhauser are crucial for controlling confounding factors in epidemiological research.
- Validation of these indices in outpatient hypertension studies is essential for accurate risk assessment.
- Existing indices lack specific validation for predicting adverse outcomes in hypertensive patient populations.
Purpose of the Study:
- To validate the Charlson and Elixhauser comorbidity indices for predicting death and stroke outcomes in hypertensive patients.
- To compare the predictive performance of the Modified Charlson Index against alternative comorbidity assessment approaches.
- To determine the optimal comorbidity assessment strategy for different data timings (baseline vs. follow-up) in hypertension research.
Main Methods:
- A retrospective cohort study involving 49,479 hypertensive patients was conducted.
- Cox models were used to compare the Modified Charlson Index with six alternative comorbidity measures.
- Comorbidity measures were assessed at baseline and during the follow-up period preceding study outcomes.
Main Results:
- Charlson comorbidities demonstrated the best predictive performance for stroke and death when using baseline data, indicated by the lowest Akaike information criterion.
- Elixhauser comorbidities showed superior predictive value for both outcomes when using follow-up data.
- The Modified Charlson Index also predicted outcomes, but other models exhibited greater robustness.
Conclusions:
- Both Charlson and Elixhauser comorbidity indices are validated tools for assessing stroke and death risk in hypertension.
- Charlson comorbidities are more effective when assessed using baseline data.
- Elixhauser comorbidities provide better prediction for short follow-up periods when assessed closer to the event of interest.
Background And Purpose:
The Charlson and Elixhauser comorbidities are widely used to control for differences in comorbidity in epidemiological studies but have not been validated for outpatient studies of hypertension. This study sought that validation using death and stroke outcomes.
Methods:
Using Cox models in a retrospective cohort study of 49,479 hypertensive patients, Modified Charlson Index was compared with 6 alternative approaches to assessing comorbidity: individual Charlson comorbidities, Elixhauser comorbidities, prior major cardiovascular disease event, traditional risk factors for cerebrovascular accident, healthcare utilization, and antihypertensive medication utilization. Comorbidity measures were calculated at baseline and for a period before occurrence of the study outcome of interest or study conclusion.
Results:
The Charlson comorbidities had the smallest Akaike information criterion value for both the stroke and death outcomes when baseline data were used. The Elixhauser comorbidities had the smallest Akaike information criterion value for both the stroke and death outcomes when follow-up data were used. Modified Charlson Index also predicted stroke and death, but alternative models were more robust.
Conclusions:
This study indicates that both the Charlson and Elixhauser comorbidities are valid prediction tools that could enable clinicians and health systems to better assess risk for stroke and death in patients with hypertension. However, the Charlson comorbidities perform better when comorbidities are assessed using baseline data, whereas the Elixhauser comorbidities perform better for short follow-up periods when comorbidities are assessed proximal to events of interest.
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