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Charlson Index comorbidity adjustment for ischemic stroke outcome studies
Larry B Goldstein1, Gregory P Samsa, David B Matchar
1Durham VA Medical Center, Durham, NC, USA. golds004@mc.duke.edu
Stroke
|July 3, 2004
Summary
The Charlson Index effectively predicts poor outcomes and mortality in ischemic stroke patients. This study validates its use for assessing comorbidity in stroke research.
Area of Science:
- Neurology
- Clinical Epidemiology
- Health Services Research
Background:
- The Charlson Index is a widely used comorbidity score in health outcomes research.
- Its specific validation in ischemic stroke outcome studies is limited.
- Comorbidities significantly impact stroke patient prognosis.
Purpose of the Study:
- To validate the Charlson Index for assessing comorbidity in ischemic stroke patients.
- To determine if patient outcomes after ischemic stroke vary based on Charlson Index scores.
- To evaluate the Charlson Index's utility in adjusting for baseline patient characteristics in stroke research.
Main Methods:
- Prospective cohort study of 960 ischemic stroke patients across 9 VA hospitals.
- Charlson Index calculated from discharge ICD-9-CM codes and dichotomized (0-1 vs. >=2).
- Outcomes assessed by modified Rankin Scale at discharge and 1-year mortality, adjusted for stroke severity.
Main Results:
- Higher Charlson Index scores correlated with poorer outcomes at discharge (48% vs. 37% good outcome) and increased 1-year mortality (16% vs. 26%).
- Logistic regression revealed a high Charlson Index was associated with increased odds of poor discharge outcome (36%) and 1-year mortality (72%).
- Each 1-point increase in the Charlson Index independently raised odds of poor discharge outcome (15%) and 1-year mortality (29%).
Conclusions:
- The Charlson Index demonstrates validity as a comorbidity measure in ischemic stroke outcome studies.
- Findings support its use for adjusting for comorbidities in research on ischemic stroke.
- The index provides valuable prognostic information for ischemic stroke patients.