Development of CARRA/PReS-endorsed consensus Core and Expanded Datasets in childhood-onset systemic lupus erythematosus for international registry-based research.

OBJECTIVES: Childhood-onset systemic lupus erythematosus (cSLE), representing 15%-20% of individuals with SLE, has been difficult to study globally due to differences between registries. This initiative, supported by Childhood Arthritis Rheumatology Research Alliance (CARRA) and Paediatric Rheumatology European Society (PReS), aims to create Core and Expanded cSLE Datasets to standardise and enhance research worldwide. METHODS: 21 international cSLE experts and 4 patients participated in a Delphi process (questionnaires, 2 topic-specific focus groups and 3 virtual consensus meetings) to create 2 standardised cSLE datasets. The Core cSLE Dataset was designed to include data essential to meaningful clinical research across many settings. The Expanded cSLE Dataset was designed for centres able to consistently collect data to address broader research questions. Final data items for the Core and Expanded datasets were determined by consensus defined as >80% agreement) using an adapted nominal group technique and voting. RESULTS: The resulting Core cSLE Dataset contains 46 items, including demographics, clinical features, laboratory results, medications and significant adverse events. The Expanded cSLE Dataset adds 26 additional items and includes patient-reported outcomes. Consensus was also achieved regarding the frequency and time points for data collection: baseline, quarterly follow-up visits, annually and flare visits. CONCLUSION: Standardised Core and Expanded cSLE Datasets for registry-based international cSLE research were defined through the consensus of global experts and patient/caregiver representatives, endorsed by CARRA and PReS. These datasets incorporate disease-specific and patient-specific features, optimised for diverse settings to facilitate international collaborative research for children and adolescents with SLE worldwide.

The Impact of Pregnancy Readiness on Lupus Activity, Maternal Mental Health, and Pregnancy Outcomes.

OBJECTIVE: Among individuals with systemic lupus erythematosus (SLE) who became pregnant, we explored the impact of medical readiness for pregnancy and personal readiness for pregnancy on the following aspects of maternal health: (1) provider-reported disease activity, (2) patient-perceived disease activity, (3) mood symptoms, (4) pregnancy-related health behaviors, and (5) pregnancy outcomes. METHODS: All study participants were enrolled in a prospective registry, met Systemic Lupus Collaborating Clinics (SLICC) criteria for SLE, and had at least one pregnancy. Patient-reported outcomes were collected at the first rheumatology visit during pregnancy. "Medically ready" for pregnancy was defined as (1) <1 g of proteinuria, (2) no rheumatic teratogens at conception, and (3) continuing pregnancy-compatible SLE medications after conception. "Personally ready" was defined as planned pregnancy based on a London Measure of Unplanned Pregnancy score ≥10. Multivariable logistic regression models estimated the association of pregnancy readiness with each outcome of interest. RESULTS: Among the 111 individuals enrolled, lack of medical readiness for pregnancy was associated with significantly higher rates of active disease and worse pregnancy outcomes; however, these patients did not perceive themselves as having higher disease activity. Lack of personal readiness for pregnancy was associated with significantly higher patient-perceived disease activity. Although medical readiness did not impact depressive symptoms substantially, lack of personal readiness for pregnancy was associated with much higher maternal depressive symptoms. CONCLUSION: To improve pregnancy outcomes among individuals with SLE, greater focus is needed on improving medical optimization before conception. For maternal mental health and quality of life, greater focus is needed on decreasing the incidence of unplanned pregnancy.

OMERACT systemic lupus erythematosus domain survey.

BACKGROUND: Since the development of the OMERACT Systemic Lupus Erythematosus (SLE) Core Outcome Set (COS) in 1998, many new SLE domains have been identified and measures developed, creating a need to update the SLE COS. To revisit the 1998 SLE COS and research agenda domains, and generate new candidate domains, we conducted this study of patients with SLE and collaborators. OBJECTIVE: (1) To evaluate existing candidate SLE domains for inclusion in the SLE COS. (2) To generate additional candidate SLE domains for COS consideration. (3) To engage SLE collaborators, including patients, in developing the updated SLE COS. METHODS: The OMERACT SLE Working Group's steering committee developed a survey to assess the importance of candidate SLE domains and generate additional domains for consideration towards the SLE COS. Patients with SLE followed at the University of Toronto Lupus Clinic (patient group) and members of the OMERACT SLE Working Group (collaborator group) were invited to complete the survey between August 2022 and February 2023. RESULTS: A total of 175 patients were invited and 100 completed the survey. Of 178 collaborators invited, 145 completed the survey. Patients tended to prioritize life-impact domains while collaborators prioritized clinical domains. Both patients and collaborators recommended additional domains to those included in the 1998 SLE COS and research agenda. CONCLUSION: The domain inclusion and importance results demonstrate that patients and collaborators prioritize different domains, so capturing the perspectives of both groups is essential to ensure a holistic assessment of SLE. The results of the study identify domains that already have a high level of agreement for potential inclusion in the SLE COS, domains that require further explanation, and novel domains that warrant consideration.

Community-engaged randomised controlled trial to disseminate COVID-19 vaccine-related information and increase uptake among Black individuals in two US cities with rheumatic conditions.

INTRODUCTION: Inequities in COVID-19 infection and vaccine uptake among historically marginalised racial and ethnic groups in the USA persist. Individuals with rheumatic conditions, especially those who are immunocompromised, are especially vulnerable to severe infection, with significant racialised inequities in infection outcomes and in vaccine uptake. Structural racism, historical injustices and misinformation engender racial and ethnic inequities in vaccine uptake. The Popular Opinion Lleader (POL) model, a community-based intervention that trains trusted community leaders to disseminate health information to their social network members (eg, friends, family and neighbours), has been shown to reduce stigma and improve care-seeking behaviours. METHODS AND ANALYSIS: This is a community-based cluster randomised controlled trial led by a team of community and academic partners to compare the efficacy of training POLs with rheumatic or musculoskeletal conditions using a curriculum embedded with a racial justice vs a biomedical framework to increase COVID-19 vaccine uptake and reduce vaccine hesitancy. This trial began recruitment in February 2024 in Boston, Massachusetts and Chicago, Illinois, USA. Eligible POLs are English-speaking adults who identify as Black and/or of African descent, have a diagnosis of a rheumatic or musculoskeletal condition and have received >=1 COVID-19 vaccine after 31 August 2022. POLs will be randomised to a 6-module virtual educational training; the COVID-19 and vaccine-related content will be the same for both groups however the framing for arm 1 will be with a racial justice lens and for arm 2, a biomedical preventative care-focused lens. Following the training, POLs will disseminate the information they learned to 12-16 social network members who have not received the most recent COVID-19 vaccine, over 4 weeks. The trial's primary outcome is social network member COVID-19 vaccine uptake, which will be compared between intervention arms. ETHICS AND DISSEMINATION: This trial has ethical approval in the USA. This has been approved by the Mass General Brigham Institutional Review Board (IRB, 2023P000686), the Northwestern University IRB (STU00219053), the Boston University/Boston Medical Center IRB (H-43857) and the Boston Children's Hospital IRB (P00045404). Results will be published in a publicly accessible peer-reviewed journal. TRIAL REGISTRATION NUMBER: NCT05822219.

Multiplicative Impact of Adverse Social Determinants of Health on Outcomes in Lupus Nephritis: A Meta-analysis and Systematic Review.

OBJECTIVE: Social determinants of health (SDoH) likely contribute to outcome disparities in lupus nephritis (LN). Understanding the overall burden and contribution of each domain could guide future health equity-focused interventions to improve outcomes and reduce disparities in LN. Objectives of this meta-analysis were to 1) determine the association of overall SDoH and specific SDoH domains on LN outcomes and 2) develop a framework for the multidimensional impact of SDoH on LN outcomes. METHODS: We performed a comprehensive search of studies measuring associations between SDoH and LN outcomes. We examined pooled odds of poor LN outcomes including death, end-stage kidney disease, or cardiovascular disease in patients with and without adverse SDoH. Additionally, we calculated the pooled odds ratios of outcomes by four SDoH domains: individual (eg, insurance), health care (eg, fragmented care), community (eg, neighborhood socioeconomic status), and health behaviors (eg, smoking). RESULTS: Among 531 screened studies, 31 meeting inclusion criteria and 13 with raw data were included in meta-analysis. Pooled odds of poor outcomes were 1.47-fold higher in patients with any adverse SDoH. Patients with adverse SDoH in individual and health care domains had 1.64-fold and 1.77-fold higher odds of poor outcomes. We found a multiplicative impact of having two or more adverse SDoH on LN outcomes. Black patients with public insurance and fragmented care had 12-fold higher odds of poor LN outcomes. CONCLUSION: Adverse SDoH is associated with poor LN outcomes. Having two or more adverse SDoH, specifically in different SDoH domains, had a multiplicative impact leading to worse LN outcomes, widening disparities.

Remission and low disease activity are associated with lower healthcare costs: results from the Systemic Lupus International Collaborating Clinics (SLICC) inception cohort.

OBJECTIVES: This study aims to determine the independent impact of definitions of remission/low disease activity (LDA) on direct/indirect costs (DCs, ICs) in a multicentre inception cohort. METHODS: Patients from 31 centres in 10 countries were enrolled within 15 months of diagnosis and assessed annually. Five mutually exclusive disease activity states (DAS) were defined as (1) remission off-treatment: clinical (c) SLEDAI-2K=0, without prednisone/immunosuppressants; (2) remission on-treatment: cSLEDAI-2K=0, prednisone ≤5 mg/day and/or maintenance immunosuppressants; (3) LDA-Toronto Cohort (TC): cSLEDAI-2K≤2, without prednisone/immunosuppressants; (4) modified lupus LDA state (mLLDAS): SLEDAI-2K≤4, no activity in major organs/systems, no new activity, prednisone ≤7.5 mg/day and/or maintenance immunosuppressants and (5) active: all remaining assessments.At each assessment, patients were stratified into the most stringent DAS fulfilled and the proportion of time in a DAS since cohort entry was determined. Annual DCs/ICs (2021 Canadian dollars) were based on healthcare use and lost workforce/non-workforce productivity over the preceding year.The association between the proportion of time in a DAS and annual DC/IC was examined through multivariable random-effects linear regressions. RESULTS: 1692 patients were followed a mean of 9.7 years; 49.0% of assessments were active. Remission/LDA (per 25% increase in time in a remission/LDA state vs active) were associated with lower annual DC/IC: remission off-treatment (DC -$C1372; IC -$C2507), remission on-treatment (DC -$C973; IC -$C2604,) LDA-TC (DC -$C1158) and mLLDAS (DC -$C1040). There were no cost differences between remission/LDA states. CONCLUSIONS: Our data suggest that systemic lupus erythematosus patients who achieve remission, both off and on-therapy, and reductions in disease activity incur lower costs than those experiencing persistent disease activity.

Anti-KIF20B autoantibodies are associated with cranial neuropathy in systemic lupus erythematosus.

BACKGROUND: Cranial neuropathies (CN) are a rare neuropsychiatric SLE (NPSLE) manifestation. Previous studies reported that antibodies to the kinesin family member 20B (KIF20B) (anti-KIF20B) protein were associated with idiopathic ataxia and CN. We assessed anti-KIF20B as a potential biomarker for NPSLE in an international SLE inception cohort. METHODS: Individuals fulfilling the revised 1997 American College of Rheumatology (ACR) SLE classification criteria were enrolled from 31 centres from 1999 to 2011 and followed annually in the Systemic Lupus Erythematosus International Collaborating Clinics inception cohort. Anti-KIF20B testing was performed on baseline (within 15 months of diagnosis or first annual visit) samples using an addressable laser bead immunoassay. Logistic regression (penalised maximum likelihood and adjusting for confounding variables) examined the association between anti-KIF20B and NPSLE manifestations (1999 ACR case definitions), including CN, occurring over the first 5 years of follow-up. RESULTS: Of the 1827 enrolled cohort members, baseline serum and 5 years of follow-up data were available on 795 patients who were included in this study: 29.8% were anti-KIF20B-positive, 88.7% female, and 52.1% White. The frequency of anti-KIF20B positivity differed only for those with CN (n=10) versus without CN (n=785) (70.0% vs 29.3%; OR 5.2, 95% CI 1.4, 18.5). Compared with patients without CN, patients with CN were more likely to fulfil the ACR haematological (90.0% vs 66.1%; difference 23.9%, 95% CI 5.0%, 42.8%) and ANA (100% vs 95.7%; difference 4.3%, 95% CI 2.9%, 5.8%) criteria. In the multivariate analysis adjusting for age at baseline, female, White race and ethnicity, and ACR haematological and ANA criteria, anti-KIF20B positivity remained associated with CN (OR 5.2, 95% CI 1.4, 19.1). CONCLUSION: Anti-KIF20B is a potential biomarker for SLE-related CN. Further studies are needed to examine how autoantibodies against KIF20B, which is variably expressed in a variety of neurological cells, contribute to disease pathogenesis.

Natural language processing to identify lupus nephritis phenotype in electronic health records.

BACKGROUND: Systemic lupus erythematosus (SLE) is a rare autoimmune disorder characterized by an unpredictable course of flares and remission with diverse manifestations. Lupus nephritis, one of the major disease manifestations of SLE for organ damage and mortality, is a key component of lupus classification criteria. Accurately identifying lupus nephritis in electronic health records (EHRs) would therefore benefit large cohort observational studies and clinical trials where characterization of the patient population is critical for recruitment, study design, and analysis. Lupus nephritis can be recognized through procedure codes and structured data, such as laboratory tests. However, other critical information documenting lupus nephritis, such as histologic reports from kidney biopsies and prior medical history narratives, require sophisticated text processing to mine information from pathology reports and clinical notes. In this study, we developed algorithms to identify lupus nephritis with and without natural language processing (NLP) using EHR data from the Northwestern Medicine Enterprise Data Warehouse (NMEDW). METHODS: We developed five algorithms: a rule-based algorithm using only structured data (baseline algorithm) and four algorithms using different NLP models. The first NLP model applied simple regular expression for keywords search combined with structured data. The other three NLP models were based on regularized logistic regression and used different sets of features including positive mention of concept unique identifiers (CUIs), number of appearances of CUIs, and a mixture of three components (i.e. a curated list of CUIs, regular expression concepts, structured data) respectively. The baseline algorithm and the best performing NLP algorithm were externally validated on a dataset from Vanderbilt University Medical Center (VUMC). RESULTS: Our best performing NLP model incorporated features from both structured data, regular expression concepts, and mapped concept unique identifiers (CUIs) and showed improved F measure in both the NMEDW (0.41 vs 0.79) and VUMC (0.52 vs 0.93) datasets compared to the baseline lupus nephritis algorithm. CONCLUSION: Our NLP MetaMap mixed model improved the F-measure greatly compared to the structured data only algorithm in both internal and external validation datasets. The NLP algorithms can serve as powerful tools to accurately identify lupus nephritis phenotype in EHR for clinical research and better targeted therapies.

A community-engaged approach to translate a Vaccine Hesitancy Scale into Haitian Creole.

OBJECTIVE: Accurately translated health materials are needed to achieve equity in vaccine uptake among U.S. individuals with non-English language preferences. Verbatim translations may not capture the cultural and linguistic vernacular required to understand vaccine hesitancy. We leveraged a community-engaged approach to translate the Vaccine Hesitancy Scale (VHS) into Haitian Creole. METHODS: Following the "WHO Guidelines on Translation and Adaptation of Instruments" and a community-engaged framework, a validated 10-question Vaccine Hesitancy Scale (VHS) underwent forward translation, expert panel review, back translation, and focus group pilot testing. RESULTS: Haitian Creole-speaking translators included two community leaders, one community partner, one study team member, and 13 Haitian, greater Boston-based community members who participated in a focus group to pretest the survey. After four iterations, a linguistic and cultural translation of the VHS was created. CONCLUSION: A community-engaged framework strengthened community partnerships and resulted in a culturally relevant Haitian Creole vaccine hesitancy scale.

OMERACT 2023 Systemic Lupus Erythematosus Special Interest Group: Winnowing and Binning Preliminary Candidate Domains for the Core Outcome Set.

BACKGROUND: The Outcome Measures in Rheumatology (OMERACT) Systemic Lupus Erythematosus (SLE) Working Group held a Special Interest Group (SIG) at the OMERACT 2023 conference in Colorado Springs where SLE collaborators reviewed domain sub-themes generated through qualitative research and literature review. OBJECTIVE: The objective of the SIG and the subsequent meetings of the SLE Working Group was to begin the winnowing and binning of candidate domain sub-themes into a preliminary list of candidate domains that will proceed to the consensus Delphi exercise for the SLE COS. METHODS: Four breakout groups at the SLE SIG in Colorado Springs winnowed and binned 132 domain sub-themes into candidate domains, which was continued with a series of virtual meetings by an advisory group of SLE patient research partners (PRPs), members of the OMERACT SLE Working Group Steering Committee, and other collaborators. RESULTS: The 132 domain sub-themes were reduced to a preliminary list of 20 candidate domains based on their clinical and research relevance for clinical trials and research studies. CONCLUSION: A meaningful and substantial winnowing and binning of candidate domains for the SLE COS was achieved resulting in a preliminary list of 20 candidate domains.

Identification and assessment of classification criteria attributes for systemic lupus erythematosus in a regional medical record data network.

OBJECTIVE: To assess the application and utility of algorithms designed to detect features of SLE in electronic health record (EHR) data in a multisite, urban data network. METHODS: Using the Chicago Area Patient-Centered Outcomes Research Network (CAPriCORN), a Clinical Data Research Network (CDRN) containing data from multiple healthcare sites, we identified patients with at least one positively identified criterion from three SLE classification criteria sets developed by the American College of Rheumatology (ACR) in 1997, the Systemic Lupus International Collaborating Clinics (SLICC) in 2012, and the European Alliance of Associations for Rheumatology and the ACR in 2019 using EHR-based algorithms. To measure the algorithms' performance in this data setting, we first evaluated whether the number of clinical encounters for SLE was associated with a greater quantity of positively identified criteria domains using Poisson regression. We next quantified the amount of SLE criteria identified at a single healthcare institution versus all sites to assess the amount of SLE-related information gained from implementing the algorithms in a CDRN. RESULTS: Patients with three or more SLE encounters were estimated to have documented 2.77 (2.73 to 2.80) times the number of positive SLE attributes from the 2012 SLICC criteria set than patients without an SLE encounter via Poisson regression. Patients with three or more SLE-related encounters and with documented care from multiple institutions were identified with more SLICC criteria domains when data were included from all CAPriCORN sites compared with a single site (p<0.05). CONCLUSIONS: The positive association observed between amount of SLE-related clinical encounters and the number of criteria domains detected suggests that the algorithms used in this study can be used to help describe SLE features in this data environment. This work also demonstrates the benefit of aggregating data across healthcare institutions for patients with fragmented care.

Feasibility and Utility of a Pilot Peer Education Program to Improve Patient Engagement in Lupus Clinical Trials: Implementation and Evaluation in a Multisite Model Within a Lupus Clinical Trials Network.

OBJECTIVE: To assess outcomes related to Lupus Therapeutics' Patient Advocates for Lupus Studies (LT-PALS), a peer-to-peer lupus clinical trial (LCT) education program designed to improve representation of diverse groups in LCTs. Patients with lupus and clinical trial participation experience were trained as peer educators (PALs) providing trial-agnostic education to trial-naive patients with lupus. METHODS: We used a two-arm, randomized pretest/posttest study design to evaluate outcomes related to LCT participation: knowledge, attitudes, self-efficacy, and intentions to participate in an LCT. Five academic medical centers piloted the program. The intervention group (IG) individually received peer-to-peer education sessions with trained PALs, primarily via telephone; the control group (CG) received a 3-week waiting period. We conducted within/between-group t-tests and multiple linear regressions with posttest scores as dependent variables and participation in LT-PALS as the exposure variable. RESULTS: The sample (n = 136) included 64 IG and 72 CG participants, with 67.7% identifying as Black. At posttest, IG participants had higher knowledge (P < 0.01) scores than the CG participants. Regression models controlling for participant characteristics showed higher IG posttest scores for knowledge (P < 0.001) and intentions (P < 0.05). From pretest to 3-month follow-up, IG self-efficacy scores increased (P < 0.01). About half (46.9%) of IG participants reported engagement with an LCT at 1-year follow-up. Black and Hispanic participants rated higher overall program satisfaction compared with White (P < 0.01) and non-Hispanic (P < 0.05) participants. CONCLUSION: Findings demonstrated feasibility of LT-PALS and showed promise in increasing engagement from groups underrepresented in LCTs.

Association Between Severe Nonadherence to Hydroxychloroquine and Systemic Lupus Erythematosus Flares, Damage, and Mortality in 660 Patients From the SLICC Inception Cohort.

OBJECTIVE: The goals of this study were to assess the associations of severe nonadherence to hydroxychloroquine (HCQ), objectively assessed by HCQ serum levels, and risks of systemic lupus erythematosus (SLE) flares, damage, and mortality rates over five years of follow-up. METHODS: The Systemic Lupus International Collaborating Clinics (SLICC) Inception Cohort is an international multicenter initiative (33 centers throughout 11 countries). The serum of patients prescribed HCQ for at least three months at enrollment were analyzed. Severe nonadherence was defined by a serum HCQ level <106 ng/mL or <53 ng/mL for HCQ doses of 400 or 200 mg/day, respectively. Associations with the risk of a flare (defined as a Systemic Lupus Erythematosus Disease Activity Index 2000 increase ≥4 points, initiation of prednisone or immunosuppressive drugs, or new renal involvement) were studied with logistic regression, and associations with damage (first SLICC/American College of Rheumatology Damage Index [SDI] increase ≥1 point) and mortality with separate Cox proportional hazard models. RESULTS: Of the 1,849 cohort participants, 660 patients (88% women) were included. Median (interquartile range) serum HCQ was 388 ng/mL (244-566); 48 patients (7.3%) had severe HCQ nonadherence. No covariates were clearly associated with severe nonadherence, which was, however, independently associated with both flare (odds ratio 3.38; 95% confidence interval [CI] 1.80-6.42) and an increase in the SDI within each of the first three years (hazard ratio [HR] 1.92 at three years; 95% CI 1.05-3.50). Eleven patients died within five years, including 3 with severe nonadherence (crude HR 5.41; 95% CI 1.43-20.39). CONCLUSION: Severe nonadherence was independently associated with the risks of an SLE flare in the following year, early damage, and five-year mortality.

Understanding Stakeholders' Perspectives to Increase COVID-19 Vaccine and Booster Uptake Among Black Individuals With Rheumatic Conditions.

OBJECTIVE: Disparities in COVID-19 vaccine and booster uptake persist. This study aimed to obtain perspectives from community and physician stakeholders on COVID-19 vaccine and booster hesitancy and strategies to promote vaccine uptake among Black individuals with rheumatic and musculoskeletal conditions. METHODS: We invited community leaders and physicians in greater Boston and Chicago to participate in semi-structured interviews using a moderator guide developed a priori. Participants were queried about how to best address vaccine hesitancy, strategies to target high-risk populations, and factors to identify future community leaders. Interviews were audio recorded, transcribed verbatim, and analyzed thematically using Dedoose. RESULTS: A total of 8 physicians and 12 community leaders participated in this study between November 2021 and October 2022. Qualitative analyses revealed misinformation/mixed messaging and mistrust, with subthemes including conspiracy theories, concerns regarding vaccine development and function, racism and historical injustices, and general mistrust of health care systems as the top cited reasons for COVID-19 vaccine hesitancy. Participants also shared demographic-specific differences, such as race, ethnicity, age, and gender that influenced the identified themes, with emphasis on COVID-19 vaccine access and apathy. Strategies for community-based vaccine-related information dissemination included personal storytelling with an iterative and empathetic approach, while recognizing the importance of protecting community leader well-being. CONCLUSION: To increase vaccine uptake among Black individuals with rheumatic conditions, strategies should acknowledge and respond to racial/ethnic and socioeconomic injustices that engender vaccine hesitancy. Messaging should be compassionate, individually tailored, and recognize heterogeneity in experiences and opinions. Results from these analyses will inform a planned community-based intervention in Boston and Chicago.

Machine learning identifies clusters of longitudinal autoantibody profiles predictive of systemic lupus erythematosus disease outcomes.

OBJECTIVES: A novel longitudinal clustering technique was applied to comprehensive autoantibody data from a large, well-characterised, multinational inception systemic lupus erythematosus (SLE) cohort to determine profiles predictive of clinical outcomes. METHODS: Demographic, clinical and serological data from 805 patients with SLE obtained within 15 months of diagnosis and at 3-year and 5-year follow-up were included. For each visit, sera were assessed for 29 antinuclear antibodies (ANA) immunofluorescence patterns and 20 autoantibodies. K-means clustering on principal component analysis-transformed longitudinal autoantibody profiles identified discrete phenotypic clusters. One-way analysis of variance compared cluster enrolment demographics and clinical outcomes at 10-year follow-up. Cox proportional hazards model estimated the HR for survival adjusting for age of disease onset. RESULTS: Cluster 1 (n=137, high frequency of anti-Smith, anti-U1RNP, AC-5 (large nuclear speckled pattern) and high ANA titres) had the highest cumulative disease activity and immunosuppressants/biologics use at year 10. Cluster 2 (n=376, low anti-double stranded DNA (dsDNA) and ANA titres) had the lowest disease activity, frequency of lupus nephritis and immunosuppressants/biologics use. Cluster 3 (n=80, highest frequency of all five antiphospholipid antibodies) had the highest frequency of seizures and hypocomplementaemia. Cluster 4 (n=212) also had high disease activity and was characterised by multiple autoantibody reactivity including to antihistone, anti-dsDNA, antiribosomal P, anti-Sjögren syndrome antigen A or Ro60, anti-Sjögren syndrome antigen B or La, anti-Ro52/Tripartite Motif Protein 21, antiproliferating cell nuclear antigen and anticentromere B). Clusters 1 (adjusted HR 2.60 (95% CI 1.12 to 6.05), p=0.03) and 3 (adjusted HR 2.87 (95% CI 1.22 to 6.74), p=0.02) had lower survival compared with cluster 2. CONCLUSION: Four discrete SLE patient longitudinal autoantibody clusters were predictive of long-term disease activity, organ involvement, treatment requirements and mortality risk.

The global epidemiology of SLE: narrowing the knowledge gaps.

SLE is a global health concern that unevenly affects certain ethnic/racial groups. Individuals of Asian, Black, Hispanic and Indigenous ethnicity/race are amongst those who experience increased prevalence, incidence, morbidity and mortality. Population-based surveillance studies from many regions are few and often still in nascent stages. Many of these areas are challenged by restricted access to diagnostics and therapeutics. Without accurately capturing the worldwide burden and distribution of SLE, appropriately dedicating resources to improve global SLE outcomes may be challenging. This review discusses recent SLE epidemiological studies, highlighting the challenges and emerging opportunities in low- and middle-income countries. We suggest means of closing these gaps to better address the global health need in SLE.