Hydroxychloroquine Dose and Hospitalizations for Active Lupus.

OBJECTIVES: We sought to determine the impact of hydroxychloroquine (HCQ) dose on the risk of hospitalizations for systemic lupus erythematosus (SLE). METHODS: We conducted a case-crossover study within an academic health system, including patients with SLE who used HCQ and had ≥ 1 hospitalization for active SLE between January 2011 and December 2021. Case periods ended in hospitalization for SLE, whereas control periods did not. The exposures were the average weight-based HCQ dose, categorized as ≤5 or >5 mg/kg/day, and non-weight-based HCQ dose, categorized as <400 or 400 mg/day, assessed during each 6-month case or control period. Odds ratios (OR) were calculated using conditional logistic regression and adjusted for prior disease activity, kidney function, glucocorticoid use and other immunosuppressant use. RESULTS: Of 2,974 patients with SLE who used HCQ (mean age 36.5 years; 92% female), 584 had ≥1 hospitalization with primary discharge diagnosis of SLE. Of these, 122 had ≥1 hospitalization for active SLE while using HCQ and had ≥1 control period with HCQ use during the study period. Lower HCQ weight-based dose (≤5 vs. >5 mg/kg/day) and non-weight-based dose (<400 vs. 400 mg/day) were each associated with increased hospitalizations for active SLE (adjusted OR 4.20 [95% CI 1.45-12.19] and 3.39 [95% CI 1.31-8.81]). CONCLUSIONS: The use of lower doses of HCQ was associated with an increased risk of hospitalizations for active SLE. Although the long-term risk of HCQ retinopathy must be acknowledged, this must be balanced with the short-term and cumulative risks of increased SLE activity.

Patient-reported outcomes and healthcare resource utilization in systemic lupus erythematosus: impact of disease activity.

BACKGROUND: Limited real-world data exists on clinical outcomes in systemic lupus erythematosus (SLE) patients by SLE Disease Activity Index 2000 (SLEDAI-2 K), hereafter, SLEDAI. We aimed to examine the association between SLEDAI score and clinical, patient-reported and economic outcomes in patients with SLE. METHODS: Rheumatologists from the United States of America and Europe provided real-world demographic, clinical, and healthcare resource utilization (HCRU) data for SLE patients. Patients provided self-reported outcome data, capturing their general health status using the EuroQol 5-dimension 3-level questionnaire (EQ-5D-3 L), health-related quality of life using the Functional Assessment of Chronic Illness Therapy (FACIT) and work productivity using the Work Productivity and Activity Impairment questionnaire (WPAI). Low disease activity was defined as SLEDAI score ≤ 4 and ≤ 7.5 mg/day glucocorticoids; patients not meeting these criteria were considered to have "higher" active disease. Data were compared between patients with low and higher disease activity. Logistic regression estimated a propensity score for SLE based on demographic and clinical characteristics. Propensity score matched analyses compared HCRU, patient-reported outcomes, income loss and treatment satisfaction in patients with low disease activity versus higher active disease. RESULTS: Data from 296 physicians reporting on 730 patients (46 low disease activity, 684 higher active disease), and from 377 patients' self-reported questionnaires (24 low disease activity, 353 higher active disease) were analyzed. Flaring in the previous 12 months was 2.6-fold more common among patients with higher versus low active disease. Equation 5D-3 L utility index was 0.79 and 0.88 and FACIT-Fatigue scores were 34.78 and 39.79 in low versus higher active disease patients, respectively, indicating better health and less fatigue, among patients with low versus higher active disease. Absenteeism, presenteeism, overall work impairment, and total activity impairment were 47.0-, 2.0-, 2.6- and 1.5-fold greater in patients with higher versus low disease activity. In the previous 12 months there were 28% more healthcare consultations and 3.4-fold more patients hospitalized in patients with higher versus low disease activity. CONCLUSION: Compared to SLE patients with higher active disease, patients with low disease activity experienced better health status, lower HCRU, less fatigue, and lower work productivity impairment, with work absenteeism being substantially lower in these patients.

Herpes Simplex Virus Encephalitis in Patients With Autoimmune Conditions or Exposure to Immunomodulatory Medications.

BACKGROUND AND OBJECTIVES: Among infectious etiologies of encephalitis, herpes simplex virus type 1 (HSV-1) is most common, accounting for ∼15%-40% of adult encephalitis diagnoses. We aim to investigate the association between immune status and HSV encephalitis (HSVE). Using a US Medicaid database of 75.6 million persons, we evaluated the association between HSVE and autoimmune conditions, exposure to immunosuppressive and immunomodulatory medications, and other medical comorbidities. METHODS: We used the US Medicaid Analytic eXtract data between 2007 and 2010 from the 29 most populated American states. We first examined the crude incidence of HSVE in the population. We then age and sex-matched adult cases of HSVE with a sufficient enrollment period (12 months before HSVE diagnosis) to a larger control population without HSVE. In a case-control analysis, we examined the association between HSVE and exposure to both autoimmune disease and immunosuppressive/immunomodulatory medications. Analyses were conducted with conditional logistic regression progressively adjusting for sociodemographic factors, Charlson Comorbidity Index, and non-autoimmune comorbidities. RESULTS: Incidence of HSVE was ∼3.01 per 105 person-years among adults. A total of 951 HSVE cases and 95,100 age and sex-matched controls were compared. The HSVE population had higher rates of medical comorbidities than the control population. The association of HSVE and autoimmune conditions was strong (adjusted odds ratio (OR) 2.6; 95% CI 2.2-3.2). The association of HSVE and immunomodulating medications had an OR of 2.2 (CI 1.9-2.6), also after covariate adjustment. When both exposures were included in regression models, the associations remained robust: OR 2.3 (CI 1.9-2.7) for autoimmune disease and 2.0 (CI 1.7-2.3) for immunosuppressive and immunomodulatory medications. DISCUSSION: In a large, national population, HSVE is strongly associated with preexisting autoimmune disease and exposure to immunosuppressive and immunomodulatory medications. The role of antecedent immune-related dysregulation may have been underestimated to date.

Personalizing cardiovascular risk prediction for patients with systemic lupus erythematosus.

OBJECTIVE: Cardiovascular disease (CVD) risk is increased in SLE and underestimated by general population prediction algorithms. We aimed to develop a novel SLE-specific prediction tool, SLECRISK, to provide a more accurate estimate of CVD risk in SLE. METHODS: We studied patients in the Brigham and Women's Hospital SLE cohort. We collected one-year baseline data including the presence of traditional CVD factors and SLE-related features at cohort enrollment. Ten-year follow-up for the first major adverse cardiovascular event (MACE; myocardial infarction (MI), stroke, or cardiac death) began at day +1 following the baseline period (index date). ICD-9/10 codes identified MACE were adjudicated by board-certified cardiologists. Least absolute shrinkage and selection operator regression selected SLE-related variables to add to the American College of Cardiology/American Heart Association (ACC/AHA) Pooled Cohort Risk Equations 10-year risk Cox regression model. Model fit statistics and performance (sensitivity, specificity, positive/negative predictive value, c-statistic) for predicting moderate/high 10-year risk (≥7.5 %) of MACE were assessed and compared to ACC/AHA, Framingham risk score (FRS), and modified FRS (mFRS). Optimism adjustment internal validation was performed using bootstrapping. RESULTS: We included 1,243 patients with 90 MACEs (46 MIs, 36 strokes, 19 cardiac deaths) over 8946.5 person-years of follow-up. SLE variables selected for the new prediction algorithm (SLECRISK) were SLE activity (remission/mild vs. moderate/severe), disease duration (years), creatinine (mg/dL), anti-dsDNA, anti-RNP, lupus anticoagulant, anti-Ro positivity, and low C4. The sensitivity for detecting moderate/high-risk (≥7.5 %) of MACE using SLECRISK was 0.74 (95 %CI: 0.65, 0.83), which was better than the sensitivity of the ACC/AHA model (0.38 (95 %CI: 0.28, 0.48)). It also identified 3.4-fold more moderate/high-risk patients than the ACC/AHA. Patients who were moderate/high-risk according to SLECRISK but not ACC/AHA, were more likely to be young women with severe SLE and few other traditional CVD risk factors. Model performance between SLECRISK, FRS, and mFRS were similar. CONCLUSION: The novel SLECRISK tool is more sensitive than the ACC/AHA for predicting moderate/high 10-year risk for MACE and may be particularly useful in predicting risk for young females with severe SLE. Future external validation studies utilizing cohorts with more severe SLE are needed.

Effects of genetically predicted posttraumatic stress disorder on autoimmune phenotypes.

Observational studies suggest that posttraumatic stress disorder (PTSD) increases risk for various autoimmune diseases. Insights into shared biology and causal relationships between these diseases may inform intervention approaches to PTSD and co-morbid autoimmune conditions. We investigated the shared genetic contributions and causal relationships between PTSD, 18 autoimmune diseases, and 3 immune/inflammatory biomarkers. Univariate MiXeR was used to contrast the genetic architectures of phenotypes. Genetic correlations were estimated using linkage disequilibrium score regression. Bi-directional, two-sample Mendelian randomization (MR) was performed using independent, genome-wide significant single nucleotide polymorphisms; inverse variance weighted and weighted median MR estimates were evaluated. Sensitivity analyses for uncorrelated (MR PRESSO) and correlated horizontal pleiotropy (CAUSE) were also performed. PTSD was considerably more polygenic (10,863 influential variants) than autoimmune diseases (median 255 influential variants). However, PTSD evidenced significant genetic correlation with nine autoimmune diseases and three inflammatory biomarkers. PTSD had putative causal effects on autoimmune thyroid disease (p = 0.00009) and C-reactive protein (CRP) (p = 4.3 × 10-7). Inferences were not substantially altered by sensitivity analyses. Additionally, the PTSD-autoimmune thyroid disease association remained significant in multivariable MR analysis adjusted for genetically predicted inflammatory biomarkers as potential mechanistic pathway variables. No autoimmune disease had a significant causal effect on PTSD (all p values > 0.05). Although causal effect models were supported for associations of PTSD with CRP, shared pleiotropy was adequate to explain a putative causal effect of CRP on PTSD (p = 0.18). In summary, our results suggest a significant genetic overlap between PTSD, autoimmune diseases, and biomarkers of inflammation. PTSD has a putative causal effect on autoimmune thyroid disease, consistent with existing epidemiologic evidence. A previously reported causal effect of CRP on PTSD is potentially confounded by shared genetics. Together, results highlight the nuanced links between PTSD, autoimmune disorders, and associated inflammatory signatures, and suggest the importance of targeting related pathways to protect against disease and disability.

Barriers, Facilitators, and Preferences for Mental Health Services Among Patients With Systemic Lupus Erythematosus: A Qualitative Study.

OBJECTIVE: Although patients with systemic lupus erythematosus (SLE) experience high levels of depression and anxiety disorders, evidence concerning patient perceptions of facilitators and barriers to effective uptake of mental health services (eg, referral to therapists and psychiatrists, psychoeducational interventions, or support groups) is limited. METHODS: We conducted semistructured qualitative interviews with 15 adults with SLE to explore patient experiences and perceptions of mental health services to identify facilitators and barriers to accessing mental health care among patients with SLE. Qualitative interviews were conducted via telephone and audio recorded for transcription and directed content analysis using NVivo software by two coders. RESULTS: The median age of the 15 participants was 48 years, 87% were female, 33% identified as Black or African American, and 33% identified as Hispanic or Latino. Qualitative themes were organized into three domains: barriers, facilitators, and preferences for mental health services. Barriers to the use of mental health services include mental health stigma, sociodemographic factors, lack of autonomy, and time commitment. Facilitators to the use of mental health services included strong relationships with their rheumatologists and mental health care clinician experience with patients with SLE. Preferences for mental health services included education-based formats, mental health providers who work with patients with SLE, peer group formats, demographically and disease-matched psychological resources, and an emphasis on non-disease-related activities. CONCLUSION: In the setting of persistent unmet psychosocial needs of patients living with SLE, data from this qualitative study will inform the development and refinement of mental health interventions that bolster psychological wellbeing in the SLE population.

Joint effects of one year of marine omega-3 fatty acid supplementation and participant dietary fish intake upon circulating lipid mediators of inflammation resolution in a randomized controlled trial.

OBJECTIVES: We assessed the joint effects of omega (n)-3 fatty acid supplementation and dietary fish intake on systemic lipid mediators of inflammation among adults. METHODS: Within VITAL, a double-blind randomized controlled trial, adults were randomized to ω-3 fatty acids (460 mg EPA + 380 mg DHA/d) or placebo. We selected participants who reported low (<1 serving/mo) baseline dietary fish intake and matched them by age, sex, race, and trial arm to participants with self-reported highest fish intake (≥3.9 servings/wk). Baseline and 1-y plasma samples were tested for 9 ω-3 fatty acid-derived lipid mediators. Multivariable linear models assessed lipid mediator changes and joint effects of ω-3 fatty acid supplementation and dietary fish intake. RESULTS: Forty-eight participants with low baseline fish intake were matched to 48 with high fish intake. Mean age was 64.6 (±7.26), 50% were female, and 85% non-Hispanic white. One-year lipid mediator changes in expected directions were observed in those receiving ω-3 fatty acids versus placebo: reductions in proinflammatory mediators, PGD2, 5-HETE, and 12-HETE; increases in proresolving mediators, EPA and DHA. Larger 1-y lipid biomarker changes were seen in those with low baseline fish intake randomized to active ω-3 fatty acids for DHA, EPA, PGD2, Resolvin D1, and Resolvin D4 were observed, although no significant multiplicative interactions were detected. DISCUSSION: Beneficial changes in circulating proresolving and proinflammatory mediators were found with 1-y of ω-3 fatty acid supplementation versus placebo for all participants, with a trend toward larger effects among those with low baseline fish intake, although interactions were not significant.

Racial and Ethnic Composition of Populations Served by Freestanding Children's Hospitals and Disparities in Outcomes of Pediatric Lupus.

OBJECTIVE: Health disparities may be driven by hospital-level factors. We assessed whether racial and ethnic composition of populations hospitals serve explain or modify disparities in hospital outcomes of children with systemic lupus erythematosus (SLE). METHODS: In this retrospective cohort study of patients 5 to 26 years old with SLE at 47 children's hospitals in the Pediatric Health Information System (2006-2021), race and ethnicity were assessed at the patient level and hospital level (proportion of total admissions composed of Black or Hispanic patients, respectively). Outcomes included intensive care unit (ICU) admission or adverse renal outcome (end-stage renal disease, dialysis, or transplant) during follow-up. We estimated racial and ethnic disparities, adjusted or stratified by hospital racial or ethnic composition. RESULTS: Of 8,125 patients with SLE, 2,293 (28%) required ICU admission, and 698 (9%) had an adverse renal outcome. Black and non-Hispanic White disparities in ICU admission were observed only at hospitals serving higher proportions of Black patients (odds ratio [OR] 1.29, 95% confidence interval [95% CI] 1.04-1.59 vs OR 1.07, 95% CI 0.83-1.38). Larger Black and non-Hispanic White disparities in adverse renal outcomes were observed at hospitals with higher Black racial composition (OR 2.0, 95% CI 1.4-2.8 vs OR 1.7, 95% CI 1.1-2.4). Conversely, Hispanic versus non-Hispanic disparities in renal outcomes persisted after adjustment for hospital-reported Hispanic ethnic composition but were observed only at hospitals with lower proportions of Hispanic patients. CONCLUSION: Worse Black and White disparities in SLE outcomes are observed at children's hospitals serving more Black children, whereas distinct patterns are observed for Hispanic and non-Hispanic disparities. Reporting of hospital characteristics related to populations served is needed to identify modifiable drivers of hospital-level variation.

Vitamin D and Marine n-3 Fatty Acids for Autoimmune Disease Prevention: Outcomes Two Years After Completion of a Double-Blind, Placebo-Controlled Trial.

OBJECTIVE: In the 5.3-year randomized, 2 × 2 factorial, double-blind, placebo-controlled Vitamin D and Omega-3 Trial (VITAL), vitamin D supplementation reduced autoimmune disease (AD) incidence (hazard ratio [HR] 0.78, 95% confidence interval [CI] 0.61-0.99). Omega-3 (n-3) fatty acid supplementation showed a statistically nonsignificant reduction (HR 0.85, 95% CI 0.67-1.08). We aimed to confirm further AD cases arising during and after randomization and assess sustained effects with two years of postintervention observation. METHODS: Of the 12,786 men aged ≥50 and 13,085 women aged ≥55 initially randomized, we observed surviving and willing participants for two more years. We continued to confirm annual participant-reported new AD by medical record review. Cox models calculated HRs for all confirmed incident AD, (and secondary endpoints, including probable cases, and individual ADs), during the observational and randomized periods. RESULTS: A total of 21,592 participants (83.5%) were observed for two more years; 514 participants developed incident confirmed AD (236 since prior report), of whom 255 had been randomized to vitamin D versus 259 to vitamin D placebo (HR 0.98 [95% CI 0.83-1.17] at 7 years). AD was confirmed in 234 participants initially randomized to n-3 fatty acids versus 280 randomized to its placebo (HR 0.83 [95% CI 0.70-0.99] at 7 years). Of newly confirmed cases, 65 had onset during randomization; their inclusion changed randomized results as follows: HR 0.85 (95% CI 0.70-1.04) for vitamin D and HR 0.87 (95% CI 0.71-1.06) for n-3 fatty acids. CONCLUSION: Two years after trial termination, the protective effects of 2000 IU/day of vitamin D dissipated, but 1,000 mg/day of n-3 fatty acids had a sustained effect in reducing AD incidence.

Nonsteroidal anti-inflammatory drug "allergy" labeling is associated with increased postpartum opioid utilization.

BACKGROUND: Current guidelines recommend a stepwise approach to postpartum pain management, beginning with acetaminophen and nonsteroidal anti-inflammatory drugs (NSAIDs), with opioids added only if needed. Report of a prior NSAID-induced adverse drug reaction (ADR) may preclude use of first-line analgesics, despite evidence that many patients with this allergy label may safely tolerate NSAIDs. OBJECTIVE: We assessed the association between reported NSAID ADRs and postpartum opioid utilization. METHODS: We performed a retrospective cohort study of birthing people who delivered within an integrated health system (January 1, 2017, to December 31, 2020). Study outcomes were postpartum inpatient opioid administrations and opioid prescriptions at discharge. Statistical analysis was performed on a propensity score-matched sample, which was generated with the goal of matching to the covariate distributions from individuals with NSAID ADRs. RESULTS: Of 38,927 eligible participants, there were 883 (2.3%) with an NSAID ADR. Among individuals with reported NSAID ADRs, 49.5% received inpatient opioids in the postpartum period, compared to 34.5% of those with no NSAID ADRs (difference = 15.0%, 95% confidence interval 11.4-18.6%). For patients who received postpartum inpatient opioids, those with NSAID ADRs received a higher total cumulative dose between delivery and hospital discharge (median 30.0 vs 22.5 morphine milligram equivalents [MME] for vaginal deliveries; median 104.4 vs 75.0 MME for cesarean deliveries). The overall proportion of patients receiving an opioid prescription at the time of hospital discharge was higher for patients with NSAID ADRs compared to patients with no NSAID ADRs (39.3% vs 27.2%; difference = 12.1%, 95% confidence interval 8.6-15.6%). CONCLUSION: Patients with reported NSAID ADRs had higher postpartum inpatient opioid utilization and more frequently received opioid prescriptions at hospital discharge compared to those without NSAID ADRs, regardless of mode of delivery.

Posttraumatic stress disorder symptoms in systemic autoimmune rheumatic disease patients during the early COVID-19 pandemic.

AIM: Given reports of increased prevalence of PTSD symptoms at COVID-19 pandemic onset, we aimed to assess the prevalence of posttraumatic stress disorder (PTSD) symptoms at pandemic onset in individuals with and without systemic autoimmune rheumatic disease (SARD). METHODS: In May 2020, we invited 6678 patients to complete the Brief Trauma Questionnaire and the Posttraumatic Stress Disorder Checklist (PCL-5), validated PTSD symptom screenings. We compared responses from patients with and without SARD using multivariable logistic regression. RESULTS: We received 1473 responses (22% response rate) from 5/2020 to 9/2021 (63 with prior PTSD diagnoses, 138 with SARD history). The SARD population was more female (p .0001) and had a higher baseline prevalence of stress disorders (56% vs. 43%, p .004). SARD subjects reported more experiences with life-threatening illness, 60%, versus 53% among those without SARD (p .13), and more antidepressant or anxiolytic medication use pre-pandemic (78% vs. 59%, p .0001). Adjusting for pre-pandemic PTSD diagnosis, younger age and history of stress disorder were the most significant predictors of PCL-5 positivity. There were no significant differences in PCL-5 score or positivity among those with or without SARD. CONCLUSION: In this population, patients with SARD had a higher pre-COVID-19 prevalence of stress-related conditions, but it was not the case that they had an increased risk of PTSD symptoms in the early pandemic. Younger individuals, those with baseline depression, anxiety, or adjustment disorders, and those taking antidepressant or anxiolytic medications were more likely to have PTSD symptoms in the first waves of the COVID-19 pandemic.

Genome-Wide Assessment of Shared Genetic Architecture Between Rheumatoid Arthritis and Cardiovascular Diseases.

Background Patients with rheumatoid arthritis (RA) have a 2- to 10-fold increased risk of cardiovascular disease (CVD), but the biological mechanisms and existence of causality underlying such associations remain to be investigated. We aimed to investigate the genetic associations and underlying mechanisms between RA and CVD by leveraging large-scale genomic data and genetic cross-trait analytic approaches. Methods and Results Within UK Biobank data, we examined the genetic correlation, shared genetics, and potential causality between RA (Ncases=6754, Ncontrols=452 384) and cardiovascular diseases (CVD, Ncases=44 238, Ncontrols=414 900) using linkage disequilibrium score regression, cross-trait meta-analysis, and Mendelian randomization. We observed significant genetic correlations of RA with myocardial infarction (rg:0.40 [95% CI, 0.24-0.56), angina (rg:0.42 [95% CI, 0.28-0.56]), coronary heart diseases (rg:0.41 [95% CI, 0.27-0.55]), and CVD (rg:0.43 [95% CI, 0.29-0.57]) after correcting for multiple testing (P<0.05/5). When stratified by frequent use of analgesics, we found increased genetic correlation between RA and CVD among participants without aspirin usage (rg:0.54 [95% CI, 0.30-0.78] for angina; Pvalue=6.69×10-6) and among participants with paracetamol usage (rg:0.75 [95% CI, 0.20-1.29] for myocardial infarction; Pvalue=8.90×10-3), whereas others remained similar. Cross-trait meta-analysis identified 9 independent shared loci between RA and CVD, including PTPN22 at chr1p13.2, BCL2L11 at chr2q13, and CCR3 at chr3p21.31 (Psingle trait<1×10-3 and Pmeta<5×10-8), highlighting potential shared pathogenesis including accelerating atherosclerosis, upregulating oxidative stress, and vascular permeability. Finally, Mendelian randomization estimates showed limited evidence of causality between RA and CVD. Conclusions Our results supported shared genetic pathogenesis rather than causality in explaining the observed association between RA and CVD. The identified shared genetic factors provided insights into potential novel therapeutic target for RA-CVD comorbidities.

Meeting report: the ALPHA project: a stakeholder meeting on lupus clinical trial outcome measures and the patient perspective.

Drug development in lupus has improved over the past 10 years but still lags behind that of other rheumatic disease areas. Assessment of prospective lupus therapies in clinical trials has proved challenging for reasons that are multifactorial including the heterogeneity of the disease, study design limitations and a lack of validated biomarkers which greatly impacts regulatory decision-making. Moreover, most composite outcome measures currently used in trials do not include patient-reported outcomes. Given these factors, the Addressing Lupus Pillars for Health Advancement Global Advisory Committee members who serve on the drug development team identified an opportunity to convene a meeting to facilitate information sharing on completed and existing outcome measure development efforts. This meeting report highlights information presented during the meeting as well as a discussion on how the lupus community may work together with regulatory agencies to simplify and standardise outcome measures to accelerate development of lupus therapeutics.

Disparities in Lupus and the Role of Social Determinants of Health: Current State of Knowledge and Directions for Future Research.

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease. The complex relationships between race and ethnicity and social determinants of health (SDOH) in influencing SLE and its course are increasingly appreciated. Multiple SDOH have been strongly associated with lupus incidence and outcomes and contribute to health disparities in lupus. Measures of socioeconomic status, including economic instability, poverty, unemployment, and food insecurity, as well as features of the neighborhood and built environment, including lack of safe and affordable housing, crime, stress, racial segregation, and discrimination, are associated with race and ethnicity in the US and are risk factors for poor outcomes in lupus. In this scientific statement, we aimed to summarize current evidence on the role of SDOH in relation to racial and ethnic disparities in SLE and SLE outcomes, primarily as experienced in the U.S. Lupus Foundation of America's Health Disparities Advisory Panel, comprising 10 health disparity experts, including academic researchers and patients, who met 12 times over the course of 18 months in assembling and reviewing the data for this study. Sources included articles published from 2011 to 2023 in PubMed, Centers for Disease Control and Prevention data, and bibliographies and recommendations. Search terms included lupus, race, ethnicity, and SDOH domains. Data were extracted and synthesized into this scientific statement. Poorer neighborhoods correlate with increased damage, reduced care, and stress-induced lupus flares. Large disparities in health care affordability, accessibility, and acceptability exist in the US, varying by region, insurance status, and racial and minority groups. Preliminary interventions targeted social support, depression, and shared-decision-making, but more research and intervention implementation and evaluation are needed. Disparities in lupus across racial and ethnic groups in the US are driven by SDOH, some of which are more easily remediable than others. A multidimensional and multidisciplinary approach involving various stakeholder groups is needed to address these complex challenges, address these diminish disparities, and improve outcomes.