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The bm12 Inducible Model of Systemic Lupus Erythematosus SLE in C57BL/6 Mice
Published on: November 1, 2015
Characterizing lupus in African American children in Southern United States
Taylor B Winstead1, Spencer Hagwood1, Cynthia Karlson2
1School of Medicine, The University of Mississippi Medical Center, Jackson, MS, USA.
Insights
Children with lupus in the Southern US Black Belt show higher disease activity and damage. Factors like higher social vulnerability and insurance type contribute to disparities in childhood systemic lupus erythematosus (cSLE) outcomes.
Area of Science:
- Pediatric Rheumatology
- Autoimmune Diseases
- Health Disparities
Background:
- Childhood systemic lupus erythematosus (cSLE) disproportionately affects minority populations.
- Understanding the clinical and socioeconomic factors in underrepresented regions like the Southern US Black Belt is crucial.
Purpose of the Study:
- To profile childhood systemic lupus erythematosus (cSLE) patients in the Southern US Black Belt.
- To compare this cohort to predominantly Caucasian populations in existing literature.
- To identify demographic, clinical, and socioeconomic disparities.
Main Methods:
- Cross-sectional study of cSLE patients from two centers in the Southeastern US.
- Retrospective data collection via electronic medical records and a dedicated registry.
- Analysis of demographic, social, and clinical data using SPSS software.
Main Results:
- The cohort was predominantly African American (82.2%) and female (82.2%), with most on Medicaid (66.7%).
- Higher mean disease activity (SLEDAI) and damage scores (ACR, SLICC) were observed compared to national averages.
- Patients traveled further (74.83 miles) to care and often belonged to high Social Vulnerability Index (SVI) groups (82%).
Conclusions:
- cSLE patients in the Southern US Black Belt exhibit greater disease activity and damage accrual.
- Social risk factors including high SVI, insurance status (Medicaid), and distance to care are significant.
- Further research with larger cohorts is needed to explore these disparities in cSLE outcomes.
Objective:
To characterize the clinical, demographic, and socioeconomic profile of childhood systemic lupus erythematous (cSLE) in the Black Belt of the Southern United States in comparison to the current literature of predominantly Caucasian cohorts.
Methods:
This is a cross-sectional study characterizing patients with cSLE from two centers in the Southeastern United States- University of Mississippi Medical Center (UMMC) and University of Alabama at Birmingham (UAB). Demographic, social, and clinical data was retrospectively collected by medical chart review for prevalent and incident cSLE patients via electronic medical records for UMMC and the Childhood arthritis and rheumatology research alliance (CARRA) registry database for UAB. The data was combined and analyzed using SPSS statistical software.
Results:
Of the 45 patients,82.2%were female, 82.2% were of AA ethnicity, and 66.7% had Medicaid insurance. Mean age at diagnosis was 13.5 years (+/- 2.8). Mean American College of Rheumatology (ACR) score at diagnosis was 5.1 (+/- 1.27), the Systemic Lupus International Collaborating Clinics (SLICC score) was 8.4 (+/- 2.5). Average baseline Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) was 13.06 (+/- 9.3), SLEDAI at 6 months and 1 year respectively was 7.4 and 4.7. Average distance traveled to see a rheumatologist was 74.83 miles compared to a national average of 42.8 miles. 37/45 patients (82%) belonged to medium-high or high Social Vulnerability Index (SVI) group based on zip code.
Conclusion:
Compared to previously described multiethnic cohorts of cSLE, this predominantly AA patient population in the Southern United States has significantly higher disease activity and greater damage accrual. Social risk factors for this population include a higher SVI, longer distance from an academic pediatric rheumatology center, and having Medicaid insurance. The effect of these factors on disparity of disease outcomes needs to be further explored with larger cohorts.
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