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Racial differences in 30-day mortality for pulmonary embolism
Said A Ibrahim1, Roslyn A Stone, D Scott Obrosky
1Veterans Administration Center for Health Equity Research and Promotion, Pittsburgh Healthcare System, Pittsburgh, Pa 15240, USA. said.ibrahim2@va.gov
American Journal of Public Health
|November 2, 2006
Summary
Black patients hospitalized with pulmonary embolism (PE) face higher mortality risks. This study found Black patients had 30% greater odds of 30-day mortality compared to White patients, even after adjusting for disease severity.
Area of Science:
- Cardiovascular Medicine
- Health Disparities Research
- Epidemiology
Background:
- Previous studies indicate higher in-hospital mortality for Black patients with pulmonary embolism (PE) compared to White patients.
- A significant knowledge gap exists regarding racial disparities in 30-day mortality following PE hospitalization.
Purpose of the Study:
- To compare 30-day mortality rates between Black and White patients hospitalized for pulmonary embolism (PE).
- To investigate potential contributing factors to observed disparities in PE outcomes.
Main Methods:
- A retrospective analysis of 15,531 patients discharged with PE from 186 Pennsylvania hospitals (2000-2002).
- Random-effects logistic regression was employed to model 30-day mortality, adjusting for demographic and clinical factors.
- A validated clinical prognostic model was used to account for disease severity.
Main Results:
- Unadjusted 30-day mortality rates were 9.0% for White patients and 10.3% for Black patients.
- After adjusting for disease severity, Black patients exhibited 30% higher odds of 30-day mortality compared to White patients (aOR=1.3; 95% CI, 1.1-1.6).
- Insurance status and hospital volume did not significantly predict 30-day mortality.
Conclusions:
- Black patients with pulmonary embolism (PE) face significantly higher odds of 30-day mortality compared to White patients.
- These findings highlight persistent racial disparities in PE outcomes, necessitating further investigation into underlying causes and targeted interventions.
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