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Published on: April 19, 2024
Racial and Ethnic Disparities in Clinical Characteristics and Outcomes in Adults With Encephalitis: A Retrospective
Sienna Wu1, Rodrigo Hasbun2, Ralph Habis3
1Department of Neurology, McGovern Medical School, UTHealth Science Center, Houston, TX, USA.
Ethnic minority patients with encephalitis present younger and have worse outcomes. Identifying predictors like abnormal MRI and low Glasgow Coma Scale can improve risk stratification for encephalitis.
Area of Science:
- Neurology
- Infectious Diseases
- Health Disparities
Background:
- Encephalitis affects diverse populations, but differences in presentation and outcomes across racial and ethnic groups require investigation.
- Understanding these disparities is crucial for equitable healthcare delivery and targeted interventions.
Purpose of the Study:
- To compare clinical presentation, diagnostic findings, and outcomes of encephalitis between White and ethnic minority adult patients.
- To identify factors influencing disease severity and prognosis in different racial/ethnic groups.
Main Methods:
- Retrospective cohort study of 599 encephalitis patients from Houston and Baltimore electronic health records.
- Patients categorized by race/ethnicity: White vs. ethnic minority (Black, Hispanic, Asian).
- Analysis of clinical characteristics, diagnostic findings (CSF, EEG, MRI), and outcomes (Glasgow Outcome Scale).
Main Results:
- Ethnic minority patients were younger, more likely to have HIV, severe organ dysfunction, cerebrospinal fluid (CSF) pleocytosis, and abnormal electroencephalogram (EEG) findings.
- Ethnic minority patients experienced worse outcomes (Glasgow Outcome Scale <4).
- Abnormal magnetic resonance imaging (MRI) and Glasgow Coma Scale (GCS) <13 independently predicted adverse outcomes.
Conclusions:
- Significant racial and ethnic disparities exist in encephalitis presentation, diagnostic findings, and outcomes.
- Ethnic minority patients face a higher burden of disease and poorer prognosis.
- Abnormal MRI and low GCS are key predictors for adverse outcomes, aiding in risk stratification.
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