Use of Popular Opinion Leader Models to Disseminate Information About Clinical Trials to Black Individuals With Lupus in Two US Cities.

OBJECTIVE: Clinical trials for systemic lupus erythematosus ("lupus") under enroll Black individuals despite higher disease prevalence, morbidity, and mortality among Black compared to White individuals. To begin to address this disparity, we leveraged community-academic partnerships in 2 US cities (Boston and Chicago) to train popular opinion leaders (POLs) to disseminate information about clinical trials in predominantly Black communities. METHODS: The team of community and academic partners collaboratively developed a 5-module curriculum about clinical trials, barriers, facilitators, and structural racism in research. We enrolled POLs in Boston and Chicago to participate virtually in the curriculum and assessed knowledge gained by comparing pre- and post-test scores. We described the POLs' ability to disseminate information about clinical trials through their communities. RESULTS: We enrolled 19 POLs in Boston and 16 in Chicago; overall, 71% reported a lupus diagnosis, 94% were female, and 80% self-identified as Black or African American. The program was adapted to virtual formats due to the COVID-19 pandemic. POLs demonstrated significant improvement comparing pre/post scores for the conduct of clinical trials and history of racism in clinical research. Fifteen POLs (43%) reported their dissemination of information about clinical trials. Information reached 425 community members in Boston (90% virtually) and 1,887 in Chicago (95% virtually). CONCLUSION: By leveraging community-academic partnerships, we developed and implemented a curriculum to promote familiarity with clinical trials, leading to information dissemination by POLs in predominantly Black communities that are underrepresented in lupus clinical trials. The program successfully transitioned to a virtual model during the COVID-19 pandemic.

Three Distinct Transcriptional Profiles of Monocytes Associate with Disease Activity in Scleroderma Patients.

OBJECTIVE: Patients with diffuse cutaneous systemic sclerosis (dcSSc) display a complex clinical phenotype. Transcriptional profiling of whole blood or tissue from patients are affected by changes in cellular composition that drive gene expression and an inability to detect minority cell populations. We undertook this study to focus on the 2 main subtypes of circulating monocytes, classical monocytes (CMs) and nonclassical monocytes (NCMs) as a biomarker of SSc disease severity. METHODS: SSc patients were recruited from the Prospective Registry for Early Systemic Sclerosis. Clinical data were collected, as well as peripheral blood for isolation of CMs and NCMs. Age-, sex-, and race-matched healthy volunteers were recruited as controls. Bulk macrophages were isolated from the skin in a separate cohort. All samples were assayed by RNA sequencing (RNA-seq). RESULTS: We used an unbiased approach to cluster patients into 3 groups (groups A-C) based on the transcriptional signatures of CMs relative to controls. Each group maintained their characteristic transcriptional signature in NCMs. Genes up-regulated in group C demonstrated the highest expression compared to the other groups in SSc skin macrophages, relative to controls. Patients from groups B and C exhibited worse lung function than group A, although there was no difference in SSc skin disease at baseline, relative to controls. We validated our approach by applying our group classifications to published bulk monocyte RNA-seq data from SSc patients, and we found that patients without skin disease were most likely to be classified as group A. CONCLUSION: We are the first to show that transcriptional signatures of CMs and NCMs can be used to unbiasedly stratify SSc patients and correlate with disease activity outcome measures.

Assessing the Concordance of Clinical Classification Criteria for Lupus Between Electronic Health Records and a Physician Curated Registry.

We developed a computable phenotype for systemic lupus erythematosus (SLE) based on the Systemic Lupus International Collaborative Clinics clinical classification criteria set for SLE. We evaluated the phenotype over registry and EHR data for the same patient population to determine concordance of criteria detected in both datasets and to assess which types of structured data detected individual classification criteria. We identified a concordance of 68% between registry and EHR data relying solely on structured data.

Addressing Lupus Health Disparities: The MONARCAS Community and Academic Collaborative Program.

Purpose: The Centers for Disease Control (CDC) Popular Opinion Leader (POL) model was implemented in a lupus education program (MONARCAS) for the Latino community. The program aim was to increase lupus awareness by training high school students, community health workers, and parents. Methods: A curriculum was developed training POLs to disseminate concepts about lupus signs and symptoms. Pre- and post-program questions assessed lupus knowledge and message dissemination. Results: POL groups represented distinct demographic characteristics with Spanish or English language dominance. POLs reported increased lupus knowledge and program satisfaction. Conclusions: Future program goals should aim to increase understanding and improving access to care for Latino communities affected by lupus.

Disease Outcomes and Care Fragmentation Among Patients With Systemic Lupus Erythematosus.

OBJECTIVE: To examine the impact of care fragmentation across multiple health care institutions on disease outcomes in patients with systemic lupus erythematosus (SLE). METHODS: Using the Chicago HealthLNK Data Repository, an assembly of electronic health records from 6 institutions, we identified patients with SLE, using International Classification of Diseases, Ninth Revision (ICD-9) codes, whose care was delivered at more than 1 organization. We examined whether patients had severe infections or comorbidities (ICD-9 code defined) that indicated SLE-induced damage. T-tests and chi-square tests were used to examine differences between fragmentation groups. Logistic regression was used to assess factors contributing to the occurrence of disease outcomes. RESULTS: We identified 4,276 patients with SLE. A total of 856 (20%) received care from more than 1 health care institution. African American patients and patients with public insurance were more likely to experience care fragmentation compared to white and private insurance patients (odds ratio [OR] 1.66, 95% confidence interval [95% CI] 1.44-1.97 and OR 1.63, 95% CI 1.42-1.95). We identified increased risk of infections (OR 1.57, 95% CI 1.30-1.88), cardiovascular disease (OR 1.51, 95% CI 1.23-1.86), end-stage renal disease (OR 1.34, 95% CI 1.05-1.70), nephritis (OR 1.28, 95% CI 1.07-1.54), and stroke (OR 1.28, 95% CI 1.01-1.62) among patients with fragmented care, adjusted for age, sex, race, insurance status, length of followup time, and total visit count. CONCLUSION: In this cross-site cohort of SLE patients, care fragmentation is associated with increased risk of severe infection and comorbidities. These results suggest that improved health information exchange could positively impact outcomes for SLE patients.