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.

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

BACKGROUND

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 mortality, 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 (e.g., insurance), healthcare (e.g., fragmented care), community (e.g., neighborhood socioeconomic status), and health behaviors (e.g., smoking).

RESULTS

Among 531 screened studies, 31 met inclusion and 13 studies 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 healthcare domains had 1.64-fold and 1.77-fold higher odds of poor outcomes. We found a multiplicative impact of having ≥2 adverse SDoH on LN outcomes. Patients of Black Race 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 ≥2 adverse SDoH, specifically in different SDoH domains, had a multiplicative impact leading to worse LN outcomes, widening disparities.

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.

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.

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.

The impact of US abortion policy on rheumatology clinical practice: a cross-sectional survey of rheumatologists

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Operational changes to the lupus intervention fatigue trial as a result of COVID-19: An update to the study protocol

Background

The coronavirus disease 2019 (COVID-19) global pandemic drastically impacted the health system and the research community. As a result, research institutions and funding agencies recommended a moratorium on conducting in-person research and study enrollment until protocol changes to protect participant safety were approved and implemented. We detail the operational modifications made to the Lupus Intervention Fatigue Trial (LIFT) protocol and summarize how we met the varied challenges created by COVID-19.

Methods

We evaluated study protocols and determined that scheduling, acquiring consent, in-person assessments and intervention baseline visits, patient reported outcomes, and data processing procedures needed modification.

Results

Operational modifications were made to ensure study progress while adhering to COVID-19 restrictions. Major changes included electronic consent, remote baseline visits for those in the intervention, self-report outcome measures at home via emailed weblinks, and telemedicine physician assessment visits. The collection of safety labs presented the largest challenge since this required an in-person visit to a laboratory. The study team elected to delay this up to one month after the physician assessment. All follow-up visits were completed, and no participants withdrew from the study.

Conclusion

LIFT was severely impacted by COVID-19. We provide insight into how our study protocol was modified without compromising the integrity of the primary and secondary outcomes of the study. The modifications utilized by the LIFT study resulted in efficiencies that will be included in a revised protocol and may serve as a useful example for other behavioral interventions to adapt their research studies.

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.

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.

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.

Assessing the Costs of Neuropsychiatric Disease in the Systemic Lupus International Collaborating Clinics Cohort Using Multistate Modeling

OBJECTIVE

To estimate direct and indirect costs associated with neuropsychiatric (NP) events in the Systemic Lupus International Collaborating Clinics inception cohort.

METHODS

NP events were documented annually using American College of Rheumatology definitions for NP events and attributed to systemic lupus erythematosus (SLE) or non-SLE causes. Patients were stratified into 1 of 3 NP states (no, resolved, or new/ongoing NP event). Change in NP status was characterized by interstate transition rates using multistate modeling. Annual direct costs and indirect costs were based on health care use and impaired productivity over the preceding year. Annual costs associated with NP states and NP events were calculated by averaging all observations in each state and adjusted through random-effects regressions. Five- and 10-year costs for NP states were predicted by multiplying adjusted annual costs per state by expected state duration, forecasted using multistate modeling.

RESULTS

A total of 1,697 patients (49% White race/ethnicity) were followed for a mean of 9.6 years. NP events (n = 1,971) occurred in 956 patients, 32% attributed to SLE. For SLE and non-SLE NP events, predicted annual, 5-, and 10-year direct costs and indirect costs were higher in new/ongoing versus no events. Direct costs were 1.5-fold higher and indirect costs 1.3-fold higher in new/ongoing versus no events. Indirect costs exceeded direct costs 3.0 to 5.2 fold. Among frequent SLE NP events, new/ongoing seizure disorder and cerebrovascular disease accounted for the largest increases in annual direct costs. For non-SLE NP events, new/ongoing polyneuropathy accounted for the largest increase in annual direct costs, and new/ongoing headache and mood disorder for the largest increases in indirect costs.

CONCLUSION

Patients with new/ongoing SLE or non-SLE NP events incurred higher direct and indirect costs.

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.

Association of the Systemic Lupus International Collaborating Clinics Frailty Index and Damage Accrual in Longstanding Systemic Lupus Erythematosus

OBJECTIVE

To externally validate the Systemic Lupus International Collaborating Clinics Frailty Index (SLICC-FI) in a prevalent systemic lupus erythematosus (SLE) cohort and to assess the ability of the SLICC-FI to predict organ damage accrual among individuals with longstanding SLE.

METHODS

This was a secondary analysis of data from the Study of Lupus Vascular and Bone Long-Term Endpoints (SOLVABLE) cohort, which consists of adult women from the Chicago Lupus Database who met the 1997 revised American College of Rheumatology (ACR) classification criteria for SLE. There were 185 patients with SLE enrolled, of whom 149 patients were included in a 5-year follow-up analysis. The SLICC-FI and SLICC/ACR Damage Index (SDI) scores were calculated at baseline and 5-year follow-up. Unadjusted and adjusted logistic regression models estimated the association of baseline SLICC-FI scores (per 0.05 increase) with damage accrual at 5-year follow-up.

RESULTS

At enrollment the mean ± SD age of the 149 patients was 43.30 ± 10.15 years, the mean ± SD disease duration was 11.93 ± 8.46 years, and the mean ± SD SDI score was 1.64 ± 1.83. At baseline, the mean ± SD SLICC-FI score was 0.18 ± 0.08, and 36% of participants were categorized as frail (SLICC-FI score >0.21). In a model adjusted for age, race, and disease duration, each 0.05-unit increase in the baseline SLICC-FI score was associated with 28% higher odds of subsequent damage accrual (odds ratio 1.28, 95% confidence interval 1.01-1.63).

CONCLUSION

In a prevalent cohort of women with established SLE, higher baseline SLICC-FI scores were associated with a higher risk of subsequent damage accrual at 5-year follow-up.

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.

Retinal toxicity in a multinational inception cohort of patients with systemic lupus on hydroxychloroquine

OBJECTIVE

To evaluate hydroxychloroquine (HCQ)-related retinal toxicity in the Systemic Lupus International Collaborating Clinics (SLICC) inception cohort.

METHODS

Data were collected at annual study visits between 1999 and 2019. We followed patients with incident SLE from first visit on HCQ (time zero) up to time of retinal toxicity (outcome), death, loss-to-follow-up or end of study. Potential retinal toxicity was identified from SLICC Damage Index scores; cases were confirmed with chart review. Using cumulative HCQ duration as the time axis, we constructed univariate Cox regression models to assess if covariates (ie, HCQ daily dose/kg, sex, race/ethnicity, age at SLE onset, education, body mass index, renal damage, chloroquine use) were associated with HCQ-related retinal toxicity.

RESULTS

We studied 1460 patients (89% female, 52% white). Retinal toxicity was confirmed in 11 patients (incidence 1.0 per 1000 person-years, 0.8% overall). Average cumulative time on HCQ in those with retinal toxicity was 7.4 (SD 3.2) years; the first case was detected 4 years after HCQ initiation. Risk of retinal toxicity was numerically higher in older patients at SLE diagnosis (univariate HR 1.05, 95% CI 1.01 to 1.09).

CONCLUSIONS

This is the first assessment of HCQ and retinal disease in incident SLE. We did not see any cases of retinopathy within the first 4 years of HCQ. Cumulative HCQ may be associated with increased risk. Ophthalmology monitoring (and formal assessment of cases of potential toxicity, by a retinal specialist) remains important, especially in patients on HCQ for 10+ years, those needing higher doses and those of older age at SLE diagnosis.

Remission and low disease activity (LDA) prevent damage accrual in patients with systemic lupus erythematosus: results from the Systemic Lupus International Collaborating Clinics (SLICC) inception cohort

OBJECTIVE

To determine the independent impact of different definitions of remission and low disease activity (LDA) on damage accrual.

METHODS

Patients with ≥2 annual assessments from a longitudinal multinational inception lupus cohort were studied. Five mutually exclusive disease activity states were defined: remission off-treatment: clinical Systemic Lupus Erythematosus Disease Activity Index (cSLEDAI)-2K=0, without prednisone or immunosuppressants; remission on-treatment: cSLEDAI-2K score=0, prednisone ≤5 mg/day and/or maintenance immunosuppressants; low disease activity Toronto cohort (LDA-TC): cSLEDAI-2K score of ≤2, without prednisone or immunosuppressants; modified lupus low disease activity (mLLDAS): Systemic Lupus Erythematosus Disease Activity Index-2K score of 4 with no activity in major organ/systems, no new disease activity, prednisone ≤7.5 mg/day and/or maintenance immunosuppressants; active: all remaining visits. Only the most stringent definition was used per visit. Antimalarials were allowed in all. The proportion of time that patients were in a specific state at each visit since cohort entry was determined. Damage accrual was ascertained with the Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index (SDI). Univariable and multivariable generalised estimated equation negative binomial regression models were used. Time-dependent covariates were determined at the same annual visit as the disease activity state but the SDI at the subsequent visit.

RESULTS

There were 1652 patients, 1464 (88.6%) female, mean age at diagnosis 34.2 (SD 13.4) years and mean follow-up time of 7.7 (SD 4.8) years. Being in remission off-treatment, remission on-treatment, LDA-TC and mLLDAS (per 25% increase) were each associated with a lower probability of damage accrual (remission off-treatment: incidence rate ratio (IRR)=0.75, 95% CI 0.70 to 0.81; remission on-treatment: IRR=0.68, 95% CI 0.62 to 0.75; LDA: IRR=0.79, 95% CI 0.68 to 0.92; and mLLDAS: IRR=0.76, 95% CI 0.65 to 0.89)).

CONCLUSIONS

Remission on-treatment and off-treatment, LDA-TC and mLLDAS were associated with less damage accrual, even adjusting for possible confounders and effect modifiers.

Health information use by patients with systemic lupus erythematosus (SLE) pre and during the COVID-19 pandemic

OBJECTIVE

We conducted an international survey of patients with SLE to assess their access, preference and trust in various health information sources pre-COVID-19 and during the COVID-19 pandemic.

METHODS

Patients with SLE were recruited from 18 observational cohorts, and patients self-reporting SLE were recruited through five advocacy organisations. Respondents completed an online survey from June 2020 to December 2021 regarding the sources of health information they accessed in the 12 months preceding (pre-11 March 2020) and during (post-11 March 2020) the pandemic. Multivariable logistic regressions assessed factors associated with accessing news and social media post-11 March 2020, and self-reporting negative impacts from health information accessed through these sources.

RESULTS

Surveys were completed by 2111 respondents; 92.8% were female, 76.6% had postsecondary education, mean (SD) age was 48.8 (14.0) years. Lupus specialists and family physicians were the most preferred sources pre-11 March 2020 and post-11 March 2020, yet were accessed less frequently (specialists: 78.5% pre vs 70.2% post, difference -8.3%, 95% CI -10.2% to -6.5%; family physicians: 57.1% pre vs 50.0% post, difference -7.1%, 95% CI -9.2% to -5.0%), while news (53.2% pre vs 62.1% post, difference 8.9%, 95% CI 6.7% to 11.0%) and social media (38.2% pre vs 40.6% post, difference 2.4%, 95% CI 0.7% to 4.2%) were accessed more frequently post-11 March 2020 vs pre-11 March 2020. 17.2% of respondents reported negative impacts from information accessed through news/social media. Those outside Canada, older respondents or with postsecondary education were more likely to access news media. Those in Asia, Latin America or younger respondents were more likely to access social media. Those in Asia, older respondents, males or with postsecondary education in Canada, Asia or the USA were less likely to be negatively impacted.

CONCLUSIONS

Physicians, the most preferred and trusted sources, were accessed less frequently, while news and social media, less trusted sources, were accessed more frequently post-11 March 2020 vs pre-11 March 2020. Increasing accessibility to physicians, in person and virtually, may help reduce the consequences of accessing misinformation/disinformation.

Longitudinal analysis of ANA in the Systemic Lupus International Collaborating Clinics (SLICC) Inception Cohort

OBJECTIVES

A perception derived from cross-sectional studies of small systemic lupus erythematosus (SLE) cohorts is that there is a marked discrepancy between antinuclear antibody (ANA) assays, which impacts on clinicians' approach to diagnosis and follow-up. We compared three ANA assays in a longitudinal analysis of a large international incident SLE cohort retested regularly and followed for 5 years.

METHODS

Demographic, clinical and serological data was from 805 SLE patients at enrolment, year 3 and 5. Two HEp-2 indirect immunofluorescence assays (IFA1, IFA2), an ANA ELISA, and SLE-related autoantibodies were performed in one laboratory. Frequencies of positivity, titres or absorbance units (AU), and IFA patterns were compared using McNemar, Wilcoxon and kappa statistics, respectively.

RESULTS

At enrolment, ANA positivity (≥1:80) was 96.1% by IFA1 (median titre 1:1280 (IQR 1:640-1:5120)), 98.3% by IFA2 (1:2560 (IQR 1:640-1:5120)) and 96.6% by ELISA (176.3 AU (IQR 106.4 AU-203.5 AU)). At least one ANA assay was positive for 99.6% of patients at enrolment. At year 5, ANA positivity by IFAs (IFA1 95.2%; IFA2 98.9%) remained high, while there was a decrease in ELISA positivity (91.3%, p<0.001). Overall, there was >91% agreement in ANA positivity at all time points and ≥71% agreement in IFA patterns between IFA1 and IFA2.

CONCLUSION

In recent-onset SLE, three ANA assays demonstrated commutability with a high proportion of positivity and titres or AU. However, over 5 years follow-up, there was modest variation in ANA assay performance. In clinical situations where the SLE diagnosis is being considered, a negative test by either the ELISA or HEp-2 IFA may require reflex testing.

Electronic health record data use in the assessment of quality indicators for glucocorticoid osteoporosis screening in systemic lupus erythematosus

OBJECTIVE

To determine whether electronic health record (EHR) data components could be identified and used to assess bone health quality indicators in patients with systemic lupus erythematosus as a foundation for population health management.

METHODS

We identified patients in our EHR system who had diagnosis codes for lupus from 2012 to 2017 and characterized them based on the frequency and dosage of prescribed glucocorticoid medications. The medical records of patients who received repeated high-dose glucocorticoid orders were further reviewed for osteoporosis, osteoporotic fractures, receipt of appropriate preventive screening, and orders for protective medications based on established quality indicators. Descriptive statistics were calculated to summarize results.

RESULTS

We identified 617 patients with a lupus diagnosis; 414 received glucocorticoid prescriptions, 189 received chronic, high-dose; and 83 received chronic, low-dose prescription orders. Of those with chronic high-dose glucocorticoid prescriptions, 14% had an osteoporosis diagnosis, 3% had an osteoporotic fracture, 51% received a prescription for calcium/vitamin D, 43% had bone mineral density screening orders, 20% received a spine radiograph order, 29% had a documented T-score, 12% received a prescription for osteoporosis medication, and 6% had a documented osteoporosis screening. We were able to identify data elements in the EHR for all nine components of the osteoporosis management quality indicator.

CONCLUSIONS

It is possible to identify data in the EHR for all attributes of the quality indicator for osteoporosis in lupus patients who receive chronic high-dose glucocorticoids. However, missing data and need to extract data from text-based notes may make development of population management tools challenging.

Flares after hydroxychloroquine reduction or discontinuation: results from the Systemic Lupus International Collaborating Clinics (SLICC) inception cohort

OBJECTIVES

To evaluate systemic lupus erythematosus (SLE) flares following hydroxychloroquine (HCQ) reduction or discontinuation versus HCQ maintenance.

METHODS

We analysed prospective data from the Systemic Lupus International Collaborating Clinics (SLICC) cohort, enrolled from 33 sites within 15 months of SLE diagnosis and followed annually (1999-2019). We evaluated person-time contributed while on the initial HCQ dose ('maintenance'), comparing this with person-time contributed after a first dose reduction, and after a first HCQ discontinuation. We estimated time to first flare, defined as either subsequent need for therapy augmentation, increase of ≥4 points in the SLE Disease Activity Index-2000, or hospitalisation for SLE. We estimated adjusted HRs (aHRs) with 95% CIs associated with reducing/discontinuing HCQ (vs maintenance). We also conducted separate multivariable hazard regressions in each HCQ subcohort to identify factors associated with flare.

RESULTS

We studied 1460 (90% female) patients initiating HCQ. aHRs for first SLE flare were 1.20 (95% CI 1.04 to 1.38) and 1.56 (95% CI 1.31 to 1.86) for the HCQ reduction and discontinuation groups, respectively, versus HCQ maintenance. Patients with low educational level were at particular risk of flaring after HCQ discontinuation (aHR 1.43, 95% CI 1.09 to 1.87). Prednisone use at time-zero was associated with over 1.5-fold increase in flare risk in all HCQ subcohorts.

CONCLUSIONS

SLE flare risk was higher after HCQ taper/discontinuation versus HCQ maintenance. Decisions to maintain, reduce or stop HCQ may affect specific subgroups differently, including those on prednisone and/or with low education. Further study of special groups (eg, seniors) may be helpful.

Evaluating the construct of damage in systemic lupus erythematosus

OBJECTIVE

The Systemic Lupus International Collaborating Clinics, American College of Rheumatology and Lupus Foundation of America are developing a revised SLE Damage Index (SDI). Shifts in the concept of damage in SLE have occurred with new insights into disease manifestations, diagnostics, and therapy. We evaluated contemporary constructs in SLE damage to inform development of the revised SDI.

METHODS

We conducted a 3-part qualitative study of international SLE experts. Facilitated small groups evaluated the construct underlying the concept of damage in SLE. A consensus meeting using nominal group technique was conducted to achieve agreement on aspects of the conceptual framework and scope of the revised damage index. The framework was finally reviewed and agreed upon by the entire group.

RESULTS

Fifty participants from 13 countries were included. Eight thematic clusters underlying the construct of SLE damage were purpose, items, weighting, reversibility, impact, timeframe, attribution, and perspective. The revised SDI will be a discriminative index to measure morbidity in SLE, independent of activity or impact on the patient, and should be related to mortality. The SDI is primarily intended for research purposes and should take a life course approach. Damage can occur before a diagnosis of SLE but should be attributable to SLE. Damage to an organ is irreversible but the functional consequences on that organ may improve over time through physiological adaptation or treatment.

CONCLUSION

We identified shifts in the paradigm of SLE damage and developed a unifying conceptual framework. These data form the groundwork for the next phases of SDI development.

Risk factors for changes in carotid intima media thickness and plaque over 5 years in women with systemic lupus erythematosus

Objective

To investigate the occurrence of and risk factors for progression of carotid intima media thickness (IMT) and plaque in women with and without SLE.

Methods

A cohort of 149 women with SLE and 126 controls participated in SOLVABLE (Study of Lupus Vascular and Bone Long-term Endpoints). Demographics, cardiovascular and SLE factors, and laboratory assessments were collected at baseline. Carotid IMT and plaque were measured using B-mode ultrasound at baseline and at 5-year follow-up. Regression models were used to identify predictors of progression in carotid IMT and plaque; multivariate models were adjusted for age, hypertension and total cholesterol to high-density lipoprotein ratio.

Results

The mean±SD follow-up time was 5.35±0.60 years in cases and 5.62±0.66 years in controls. The mean IMT change per year was 0.008±0.015 mm in cases and 0.005±0.019 mm in controls (p=0.24). At follow-up, 31.5% of cases and 15% of controls had plaque progression, with a relative risk for plaque progression of 2.09 (95% CI 1.30 to 3.37). In SLE cases, higher fasting glucose and lower fibrinogen were associated with IMT progression after adjustment. Larger waist circumference and non-use of hydroxychloroquine were associated with plaque progression after adjustment.

Conclusion

Potential modifiable risk factors for carotid IMT and plaque progression in women with SLE were identified, suggesting that monitoring of glucose and waist circumference and use of hydroxychloroquine may be beneficial.

Impact of glucocorticoids on the incidence of lupus-related major organ damage: a systematic literature review and meta-regression analysis of longitudinal observational studies

OBJECTIVE

In systemic lupus erythematosus (SLE), disease activity and glucocorticoid (GC) exposure are known to contribute to irreversible organ damage. We aimed to examine the association between GC exposure and organ damage occurrence.

METHODS

We conducted a literature search (PubMed (Medline), Embase and Cochrane January 1966-October 2021). We identified original longitudinal observational studies reporting GC exposure as the proportion of users and/or GC use with dose information as well as the occurrence of new major organ damage as defined in the Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index. Meta-regression analyses were performed. Reviews, case-reports and studies with <5 years of follow-up, <50 patients, different outcomes and special populations were excluded.

RESULTS

We selected 49 articles including 16 224 patients, 14 755 (90.9%) female with a mean age and disease duration of 35.1 years and of 37.1 months. The mean follow-up time was 104.9 months. For individual damage items, the average daily GC dose was associated with the occurrence of overall cardiovascular events and with osteoporosis with fractures. A higher average cumulative dose adjusted (or not)/number of follow-up years and a higher proportion of patients on GC were associated with the occurrence of osteonecrosis.

CONCLUSIONS

We confirm associations of GC use with three specific damage items. In treating patients with SLE, our aim should be to maximise the efficacy of GC and to minimise their harms.

Comparative Risk of Incident Coronary Heart Disease Across Chronic Inflammatory Diseases

Background: Chronic inflammatory diseases (CIDs) are considered risk enhancing factors for coronary heart disease (CHD). However, sparse data exist regarding relative CHD risks across CIDs. Objective: Determine relative differences in CHD risk across multiple CIDs: psoriasis, rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), human immunodeficiency virus (HIV), systemic sclerosis (SSc), and inflammatory bowel disease (IBD). Methods: The cohort included patients with CIDs and controls without CID in an urban medical system from 2000 to 2019. Patients with CIDs were frequency-matched with non-CID controls on demographics, hypertension, and diabetes. CHD was defined as myocardial infarction (MI), ischemic heart disease, and/or coronary revascularization based on validated administrative codes. Multivariable-adjusted Cox models were used to determine the risk of incident CHD and MI for each CID relative to non-CID controls. In secondary analyses, we compared CHD risk by disease severity within each CID. Results: Of 17,049 patients included for analysis, 619 had incident CHD (202 MI) over an average of 4.4 years of follow-up. The multivariable-adjusted risk of CHD was significantly higher for SLE [hazard ratio (HR) 1.9, 95% confidence interval (CI) 1.2, 3.2] and SSc (HR 2.1, 95% CI 1.2, 3.9). Patients with SLE also had a significantly higher risk of MI (HR 3.6, 95% CI 1.9, 6.8). When CIDs were categorized by markers of disease severity (C-reactive protein for all CIDs except HIV, for which CD4 T cell count was used), greater disease severity was associated with higher CHD risk across CIDs. Conclusions: Patients with SLE and SSc have a higher risk of CHD. CHD risk with HIV, RA, psoriasis, and IBD may only be elevated in those with greater disease severity. Clinicians should personalize CHD risk and treatment based on type and severity of CID.

Systematic review of anti-dsDNA testing for systemic lupus erythematosus: A meta-analysis of the diagnostic test specificity of an anti-dsDNA fluorescence enzyme immunoassay

BACKGROUND AND AIMS

The objective of this meta-analysis was to review the diagnostic performance of anti-dsDNA testing, to determine whether test specificity meets the revised 2019 EULAR/ACR classification criteria for systemic lupus erythematosus (SLE). The new criteria state that anti-dsDNA testing should be conducted using "an immunoassay with demonstrated ≥ 90% specificity for SLE against relevant disease controls".

MATERIALS AND METHODS

A systematic review (MEDLINE, Embase, CENTRAL and DARE) identified cross-sectional or case-control studies published January 2004 to August 2019, reporting anti-dsDNA test accuracy data. Studies included cases of SLE (confirmed using one or more of three validated SLE classification criteria sets) and a disease control group. Data were adjusted to exclude healthy controls. A hierarchical, bivariate mixed-effect meta-analysis of eligible quantitative studies was conducted in STATA MP v16.1 to produce a pooled estimate of sensitivity and specificity.

RESULTS

The review identified six fluorescence immunoassay (FEIA) dsDNA studies (1977 total patients, of whom 47% had SLE) eligible to be included in quantitative meta-analysis and all reported a point estimate >90% for specificity. The meta-analysis estimated a pooled specificity of 94.7% (95% CI 91.67%-96.67%).

CONCLUSION

The meta-analysis has demonstrated that the specificity of FEIA dsDNA is ≥90% for SLE, against relevant disease controls, and therefore performs in accordance with the 2019 classification criteria.

Global epidemiology of systemic lupus erythematosus

Systemic lupus erythematosus (SLE) is an autoimmune disease with protean manifestations that predominantly affects young women. Certain ethnic groups are more vulnerable than others to developing SLE and experience increased morbidity and mortality. Reports of the global incidence and prevalence of SLE vary widely, owing to inherent variation in population demographics, environmental exposures and socioeconomic factors. Differences in study design and case definitions also contribute to inconsistent reporting. Very little is known about the incidence of SLE in Africa and Australasia. Identifying and remediating such gaps in epidemiology is critical to understanding the global burden of SLE and improving patient outcomes. Mortality from SLE is still two to three times higher than that of the general population. Internationally, the frequent causes of death for patients with SLE include infection and cardiovascular disease. Even without new therapies, mortality can potentially be mitigated with enhanced quality of care. This Review focuses primarily on the past 5 years of global epidemiological studies and discusses the regional incidence and prevalence of SLE and top causes of mortality.

Comparison of the 2019 European Alliance of Associations for Rheumatology/American College of Rheumatology Systemic Lupus Erythematosus Classification Criteria With Two Sets of Earlier Systemic Lupus Erythematosus Classification Criteria

OBJECTIVE

The Systemic Lupus International Collaborating Clinics (SLICC) 2012 systemic lupus erythematosus (SLE) classification criteria and the revised American College of Rheumatology (ACR) 1997 criteria are list based, counting each SLE manifestation equally. We derived a classification rule based on giving variable weights to the SLICC criteria and compared its performance to the revised ACR 1997, the unweighted SLICC 2012, and the newly reported European Alliance of Associations for Rheumatology (EULAR)/ACR 2019 criteria sets.

METHODS

The physician-rated patient scenarios used to develop the SLICC 2012 classification criteria were reemployed to devise a new weighted classification rule using multiple linear regression. The performance of the rule was evaluated on an independent set of expert-diagnosed patient scenarios and compared to the performance of the previously reported classification rules.

RESULTS

The weighted SLICC criteria and the EULAR/ACR 2019 criteria had less sensitivity but better specificity compared to the list-based revised ACR 1997 and SLICC 2012 classification criteria. There were no statistically significant differences between any pair of rules with respect to overall agreement with the physician diagnosis.

CONCLUSION

The 2 new weighted classification rules did not perform better than the existing list-based rules in terms of overall agreement on a data set originally generated to assess the SLICC criteria. Given the added complexity of summing weights, researchers may prefer the unweighted SLICC criteria. However, the performance of a classification rule will always depend on the populations from which the cases and non-cases are derived and whether the goal is to prioritize sensitivity or specificity.

OP0289 LLDAS (LOW LUPUS DISEASE ACTIVITY STATE), LOW DISEASE ACTIVITY (LDA) AND REMISSION (ON- OR OFF-TREATMENT) PREVENT DAMAGE ACCRUAL IN SYSTEMIC LUPUS ERYTHEMATOSUS (SLE) PATIENTS IN A MULTINATIONAL MULTICENTER COHORT

Background:

Remission, LDA and LDAS have been proposed as treatment goals for SLE. However, the independent impact of these states on damage accrual has not been fully evaluated.

Objectives:

To determine the independent impact of remission (both off & on treatment), LDA, and LLDAS on damage accrual.

Methods:

We studied a long-term longitudinal multinational SLE cohort, including patients completing at least two annual assessments. Remission off-treatment was defined as a SLEDAI (excluding serology) =0, without prednisone and immunosuppressive (IS) drugs. Remission on-treatment was defined as a SLEDAI (excluding serology) =0, prednisone daily dose<=5 mg/d and maintenance IS drugs. LDA was defined as a SLEDAI (excluding serology) <=2, without prednisone or IS drugs. LLDAS was defined as a SLEDAI <=4 with no activity in major organ systems, with no new features of lupus disease activity compared to the previous assessment, prednisone daily dose<=7.5 mg/d and maintenance IS drugs. Antimalarials were allowed in all groups. Damage accrual was ascertained with the SLICC/ACR damage index (SDI). Univariable and multivariable generalized estimated equation (GEE) negative binomial regression models were used. To create mutually exclusive groups, disease activity was divided into five states: remission off-treatment, remission on-treatment (minus remission off treatment), LDA (minus remission), LLDAS (minus remission and LDA) and not-optimally controlled. The proportion of the time that patients were in the specific state at each visit since cohort entry was determined. Possible effect modifiers and confounders adjusted for included sex, age at diagnosis, race/ethnicity, education, baseline disease duration, follow-up time, the highest-ever glucocorticoid dose prior to cohort entry, antimalarials and SDI. Time-dependent covariates were determined at the same annual visit as disease activity state; the outcome was the increase in the SDI and it was assessed at the subsequent visit.

Results:

There were 1,652 patients, 1464 (88.6%) were female, mean age at diagnosis was 34.6 (SD 13.4) years and mean baseline disease duration was 5.5 (SD 4.1) months. Patients had a mean follow-up of 6.5 (SD 4.3) years, 11686 visits were included. 763 patients (46.2%) had an increase in SDI score ≥1 during follow-up. 2483 (21.2%) of the visits were classified as remission off-treatment, 2276 (19.5%) as remission on-treatment, 544 (4.7%) as LDA, 657 (5.6%) as LLDAS and 5726 (49.0%) as not-optimally controlled. Being in remission off-treatment, remission on-treatment, LDA and LLDAS were predictive of a lower probability of damage accrual [remission off-treatment IRR=0.403, 95% CI 0.301-0.541); remission on-treatment IRR=0.313 (95% CI 0.218-0.451) LDA: IRR=0.469 (CI 95% CI 0.272-0.809); LLDAS IRR=0.440 (95% CI 0.241-0.803)]. The multivariable model is summarized in Table 1.

Table 1.

Multivariable GEE model of the impact of disease activity states on damage accrual.

Incidence Rate Ratio95% CIDisease activity stateRemission off treatment0.4030.301-0.541Remission on treatment0.3130.218-0.451LDA0.4690.272-0.809LLDAS0.4400.241-0.803Gender, male1.2741.086-1.495Age at diagnosis1.0241.020-1.029EthnicityCaucasian USRef.Caucasian other1.0170.849-1.217African1.4671.211-1.776Asian0.8630.693-1.075Hispanic1.2661.034-1.550Other1.1210.759-1.656Educational level, years0.9770.957-0.996Disease duration at baseline0.9600.801-1.150Follow-up time0.9420.923-0.960Antimalarial use0.7860.681-0.908Highest prednisone dose before baseline1.0021.001-1.007SDI before1.1001.050-1.1152

LLDAS: Low lupus disease activity state LDA: Low disease activity SDI: SLICC/ACR Damage Index

Conclusion:

Remission on- and off-treatment, LDA and LLDAS were associated with less damage accrual, even adjusting for possible confounders and effect modifiers. This highlights the importance of treating to target in SLE.

Disclosure of Interests:

Manuel F. Ugarte-Gil Grant/research support from: Pfizer, Janssen, John Hanly: None declared, Murray B Urowitz: None declared, Caroline Gordon Speakers bureau: UCB, Consultant of: Center for Disease Control, Astra-Zeneca, MFP, Sanofi, UCB, Sang-Cheol Bae: None declared, Juanita Romero-Diaz: None declared, Jorge Sanchez-Guerrero: None declared, Sasha Bernatsky: None declared, Ann E Clarke Consultant of: AstraZeneca, BristolMyersSquibb, GlaxoSmithKline, and Exagen Diagnostics, Daniel J Wallace Grant/research support from: Exagen, David Isenberg: None declared, Anisur Rahman: None declared, Joan T Merrill: None declared, Paul Fortin: None declared, Dafna D Gladman Consultant of: Abbvie, Janssen, Pfizer, Novartis, Amgen, Grant/research support from: Abbvie, Janssen, Pfizer, Novartis, Amgen, Ian N. Bruce: None declared, Michelle A Petri: None declared, Ellen M Ginzler Grant/research support from: Aurinia pharmaceutical, M.A. Dooley: None declared, Rosalind Ramsey-Goldman: None declared, Susan Manzi: None declared, Andreas Jonsen: None declared, Ronald van Vollenhoven Speakers bureau: AbbVie, Galapagos, GSK, Janssen, Pfizer, UCB, Consultant of: Abbvie, AstraZeneca, Biogen, Biotest, Celgen, Galapagos, Gilead, Janssen, Pfizer, Sanofie, Servier, UCB, Vielabo, Grant/research support from: BMS, GSK, Lilly, UCB, Cynthia Aranow: None declared, Meggan Mackay: None declared, Guillermo Ruiz-Irastorza: None declared, S. Sam Lim: None declared, Murat Inanc: None declared, Kenneth C Kalunian Consultant of: Roche, Biogen, Janssen, AstraZeneca, Eli Lilly, Genetech, Gilead, ILTOO, Nektar, Viela, Equillium, Bristol-Meyers Squibb, Soren Jacobsen Grant/research support from: BMS, Christine Peschken: None declared, Diane L Kamen: None declared, Anca Askanase Consultant of: Abbvie, Grant/research support from: Glaxo Smith Kline, Astra Zeneca, Janssen, Eli Lilly and Company, Mallinckrodt, Pfizer, Bernardo Pons-Estel Consultant of: GSK, Janssen, Graciela S Alarcon: None declared.

Neuropsychiatric Events in Systemic Lupus Erythematosus

OBJECTIVES

To determine predictors for change in neuropsychiatric (NP) event status in a large, prospective, international, inception cohort of SLE patients METHODS: Upon enrollment and annually thereafter, NP events attributed to SLE and non-SLE causes and physician determined resolution were documented. Factors potentially associated with onset and resolution of NP events were determined by time-to-event analysis using a multistate modelling structure.

RESULTS

NP events occurred in 955/1,827 (52.3%) patients and 592/1910 (31.0%) unique events were attributed to SLE. For SLE NP events multivariate analysis revealed positive associations with male sex, concurrent non-SLE NP events excluding headache, active SLE and corticosteroids. There was a negative association with Asian race/ethnicity, post-secondary education, and immunosuppressive or anti-malarial drugs. For non-SLE NP events, excluding headache, there was a positive association with concurrent SLE NP events and negative associations with African and Asian race/ethnicity. NP events attributed to SLE had a higher resolution rate than non-SLE NP events, with the exception of headache that had comparable resolution rates. For SLE NP events, multivariate analysis revealed resolution was more common with Asian race/ethnicity and for central/focal NP events. For non-SLE NP events resolution was more common with African race/ethnicity and less common with older age at SLE diagnosis.

CONCLUSIONS

In a large and long-term study of the occurrence and resolution of NP events in SLE we identified subgroups with better and worse prognosis. The course of NP events differs greatly depending on their nature and attribution.

Cell-bound complement activation products associate with lupus severity in SLE

Objectives

To evaluate the association between lupus severity and cell-bound complement activation products (CB-CAPs) or low complement proteins C3 and C4.

Methods

All subjects (n=495) fulfilled the American College of Rheumatology (ACR) classification criteria for SLE. Abnormal CB-CAPs (erythrocyte-bound C4d or B-lymphocyte-bound C4d levels >99th percentile of healthy) and complement proteins C3 and C4 were determined using flow cytometry and turbidimetry, respectively. Lupus severity was estimated using the Lupus Severity Index (LSI). Statistical analysis consisted of multivariable linear regression and groups comparisons.

Results

Abnormal CB-CAPs were more prevalent than low complement values irrespective of LSI levels (62% vs 38%, respectively, p<0.0001). LSI was low (median 5.44, IQR: 4.77–6.93) in patients with no complement abnormality, intermediate in patients with abnormal CB-CAPs (median 6.09, IQR: 5.31–8.20) and high in the group presenting with both abnormal CB-CAPs and low C3 and/or C4 (median 7.85, IQR: 5.51–8.37). Odds of immunosuppressant use was higher in subjects with LSI ≥5.95 compared with subjects with LSI <5.95 (1.60 vs 0.53, p<0.0001 for both). Multivariable regression analysis revealed that higher LSI scores associated with abnormal CB-CAPs—but not low C3/C4—after adjusting for younger age, race and longer disease duration (p=0.0001), which were also independent predictors of disease severity (global R²=0.145).

Conclusion

Abnormalities in complement activation as measured by CB-CAPs are associated with increased LSI.

Using Critical Race Theory to Understand Trial Participation Among Black Individuals with Systemic Lupus Erythematosus: A Qualitative Study of Patients and Caregivers

OBJECTIVE

Black patients with systemic lupus erythematous (SLE) experience greater disease incidence and severity than White patients yet are underrepresented in SLE clinical trials. We applied Critical Race Theory to qualitatively explore the influence of racism on the underrepresentation of Black patients in SLE clinical trials and to develop a framework for future intervention.

METHODS

We conducted groups in Chicago and Boston with Black adults (age ≥18 years) with SLE and their caregivers. We queried participants' knowledge about clinical trials, factors that might motivate or hinder trial participation, and how race and experiences of racism might impact clinical trial participation. Focus group responses were transcribed verbatim and analyzed thematically.

RESULTS

We held four focus groups (N=31); 20 participants had SLE, 11 were caregivers. All participants were Black, 90% were female and the mean age was 54 years. Qualitative analyses revealed several themes that negatively impact trial participation including mistrust related to racism, concerns about assignment to placebo groups, strict study exclusion criteria, and SLE-related concerns. Factors that motivated trial participation included recommendations from physicians and reputable institutions, a desire to help the greater good, and culturally-sensitive marketing of trials.

CONCLUSION

Actions to improve clinical trial participation among Black individuals should focus on reframing how trial information is presented and disseminated and on reevaluating barriers that may restrict trial participation. Additionally, researchers must acknowledge and respond to the presence of racial bias in healthcare. Community-Academic Partnerships may help build trust and reduce fears of mistreatment among Black individuals with SLE.

Anti-beta 2 glycoprotein I IgA in the SLICC classification criteria dataset

OBJECTIVE

Anti-beta 2 glycoprotein I IgA is a common isotype of anti-beta 2 glycoprotein I in SLE. Anti-beta 2 glycoprotein I was not included in the American College of Rheumatology (ACR) SLE classification criteria, but was included in the Systemic Lupus International Collaborating Clinics (SLICC) criteria. We aimed to evaluate the prevalence of anti-beta 2-glycoprotein I IgA in SLE versus other rheumatic diseases. In addition, we examined the association between anti-beta 2 glycoprotein I IgA and disease manifestations in SLE.

METHODS

The dataset consisted of 1384 patients, 657 with a consensus physician diagnosis of SLE and 727 controls with other rheumatic diseases. Anti-beta 2 glycoprotein I isotypes were measured by ELISA. Patients with a consensus diagnosis of SLE were compared to controls with respect to presence of anti-beta 2 glycoprotein I. Among patients with SLE, we assessed the association between anti-beta 2 glycoprotein I IgA and clinical manifestations.

RESULTS

The prevalence of anti-beta 2 glycoprotein I IgA was 14% in SLE patients and 7% in rheumatic disease controls (odds ratio, OR 2.3, 95% CI: 1.6, 3.3). It was more common in SLE patients who were younger patients and of African descent (p = 0.019). Eleven percent of SLE patients had anti-beta 2 glycoprotein I IgA alone (no anti-beta 2 glycoprotein I IgG or IgM). There was a significant association between anti-beta 2 glycoprotein I IgA and anti-dsDNA (p = 0.001) and the other antiphospholipid antibodies (p = 0.0004). There was no significant correlation of anti-beta 2 glycoprotein I IgA with any of the other ACR or SLICC clinical criteria for SLE. Those with anti-beta 2 glycoprotein I IgA tended to have a history of thrombosis (12% vs 6%, p = 0.071), but the difference was not statistically significant.

CONCLUSION

We found the anti-beta 2 glycoprotein I IgA isotype to be more common in patients with SLE and in particular, with African descent. It could occur alone without other isotypes.

Evaluation of structured data from electronic health records to identify clinical classification criteria attributes for systemic lupus erythematosus

Objective

Our objective was to develop algorithms to identify lupus clinical classification criteria attributes using structured data found in the electronic health record (EHR) and determine whether they could be used to describe a cohort of people with lupus and discriminate them from a defined healthy control cohort.

Methods

We created gold standard lupus and healthy patient cohorts that were fully adjudicated for the American College of Rheumatology (ACR), Systemic Lupus International Collaborating Clinics (SLICC) and European League Against Rheumatism/ACR (EULAR/ACR) classification criteria and had matched EHR data. We implemented rule-based algorithms using structured data within the EHR system for each attribute of the three classification criteria. Individual criteria attribute and classification criteria algorithms as a whole were assessed over our combined cohorts and the overall performance of the algorithms was measured through sensitivity and specificity.

Results

Individual classification criteria attributes had a wide range of sensitivities, 7% (oral ulcers) to 97% (haematological disorders) and specificities, 56% (haematological disorders) to 98% (photosensitivity), but all could be identified in EHR data. In general, algorithms based on laboratory results performed better than those primarily based on diagnosis codes. All three classification criteria systems effectively distinguished members of our case and control cohorts, but the SLICC criteria-based algorithm had the highest overall performance (76% sensitivity, 99% specificity).

Conclusions

It is possible to characterise disease manifestations in people with lupus using classification criteria-based algorithms that assess structured EHR data. These algorithms may reduce chart review burden and are a foundation for identifying subpopulations of patients with lupus based on disease presentation to support precision medicine applications.

European League Against Rheumatism (EULAR)/American College of Rheumatology (ACR) SLE classification criteria item performance

BACKGROUND/OBJECTIVES

The European League Against Rheumatism (EULAR)/American College of Rheumatology (ACR) 2019 classification criteria for systemic lupus erythematosus system showed high specificity, while attaining also high sensitivity. We hereby analysed the performance of the individual criteria items and their contribution to the overall performance of the criteria.

METHODS

We combined the EULAR/ACR derivation and validation cohorts for a total of 1197 systemic lupus erythematosus (SLE) and n=1074 non-SLE patients with a variety of conditions mimicking SLE, such as other autoimmune diseases, and calculated the sensitivity and specificity for antinuclear antibodies (ANA) and the 23 specific criteria items. We also tested performance omitting the EULAR/ACR criteria attribution rule, which defines that items are only counted if not more likely explained by a cause other than SLE.

RESULTS

Positive ANA, the new entry criterion, was 99.5% sensitive, but only 19.4% specific, against a non-SLE population that included other inflammatory rheumatic, infectious, malignant and metabolic diseases. The specific criteria items were highly variable in sensitivity (from 0.42% for delirium and 1.84% for psychosis to 75.6% for antibodies to double-stranded DNA), but their specificity was uniformly high, with low C3 or C4 (83.0%) and leucopenia <4.000/mm³ (83.8%) at the lowest end. Unexplained fever was 95.3% specific in this cohort. Applying the attribution rule improved specificity, particularly for joint involvement.

CONCLUSIONS

Changing the position of the highly sensitive, non-specific ANA to an entry criterion and the attribution rule resulted in a specificity of >80% for all items, explaining the higher overall specificity of the criteria set.

Lower vitamin D is associated with metabolic syndrome and insulin resistance in systemic lupus: data from an international inception cohort

OBJECTIVES

Vitamin D (25(OH)D) deficiency and metabolic syndrome (MetS) may both contribute to increased cardiovascular risk in systemic lupus erythematosus (SLE). We aimed to examine the association of demographic factors, SLE phenotype, therapy and vitamin D levels with MetS and insulin resistance.

METHODS

The Systemic Lupus International Collaborating Clinics (SLICC) enrolled patients recently diagnosed with SLE (<15 months) from 33 centres across 11 countries from 2000. Clinical, laboratory and therapeutic data were collected. Vitamin D level was defined according to tertiles based on distribution across this cohort, which were set at T1 (10-36 nmol/l), T2 (37-60 nmol/l) and T3 (61-174 nmol/l). MetS was defined according to the 2009 consensus statement from the International Diabetes Federation. Insulin resistance was determined using the HOMA-IR model. Linear and logistic regressions were used to assess the association of variables with vitamin D levels.

RESULTS

Of the 1847 patients, 1163 (63%) had vitamin D measured and 398 (34.2%) subjects were in the lowest 25(OH)D tertile. MetS was present in 286 of 860 (33%) patients whose status could be determined. Patients with lower 25(OH)D were more likely to have MetS and higher HOMA-IR. The MetS components, hypertension, hypertriglyceridemia and decreased HDL were all significantly associated with lower 25(OH)D. Increased average glucocorticoid exposure was associated with higher insulin resistance.

CONCLUSIONS

MetS and insulin resistance are associated with lower vitamin D in patients with SLE. Further studies could determine whether vitamin D repletion confers better control of these cardiovascular risk factors and improve long-term outcomes in SLE.

A Multianalyte Assay Panel With Cell-Bound Complement Activation Products Predicts Transition of Probable Lupus to American College of Rheumatology-Classified Lupus

Objective

To evaluate the usefulness of biomarkers to predict the evolution of patients suspected of systemic lupus erythematosus (SLE), designated as probable SLE (pSLE), into classifiable SLE according to the American College of Rheumatology (ACR) classification criteria.

Methods

Patients suspected of SLE were enrolled by lupus experts if they fulfilled three ACR criteria for SLE and were followed for approximately 1‐3 years to evaluate transition into ACR‐classifiable SLE. Individual cell‐bound complement activation products (CB‐CAPs), serum complement proteins (C3 and C4), and autoantibodies were measured by flow cytometry, turbidimetry, and enzyme‐linked immunosorbent assay, respectively. Blood levels of hydroxychloroquine (HCQ) were measured by mass spectrometry. A multianalyte assay panel (MAP), which includes CB‐CAPs, was also evaluated. A MAP of greater than 0.8 reflected the optimal cutoff for transition to SLE. Time to fulfillment of ACR criteria was evaluated by Kaplan‐Meier analysis and Cox proportional hazards model.

Results

Of the 92 patients with pSLE enrolled, 74 had one or two follow‐up visits 9‐35 months after enrollment for a total of 128 follow‐up visits. Overall, 28 patients with pSLE (30.4%) transitioned to ACR‐classifiable SLE, including 16 (57%) in the first year and 12 (43%) afterwards. A MAP score of greater than 0.8 at enrollment predicted transition to classifiable SLE during the follow‐up period (hazard ratio = 2.72; P = 0.012), whereas individual biomarkers or fulfillment of Systemic Lupus International Collaborating Clinics criteria did not. HCQ therapy was not associated with the prevention of transition to SLE.

Conclusion

Approximately one‐third of patients with pSLE transitioned within the study period. MAP of greater than 0.8 predicted disease evolution into classifiable SLE.

Development of a Set of Lupus-Specific, Ambulatory Care-Sensitive, Potentially Preventable Adverse Conditions: A Delphi Consensus Study

OBJECTIVE

Individuals with systemic lupus erythematosus (SLE) are at high risk for infections and SLE- and medication-related complications. The present study was undertaken to define a set of SLE-specific adverse outcomes that could be prevented, or their complications minimized, if timely, effective ambulatory care had been received.

METHODS

We used a modified Delphi process beginning with a literature review and key informant interviews to select initial SLE-specific potentially preventable conditions. We assembled a panel of 16 nationally recognized US-based experts from 8 subspecialties. Guided by the RAND-UCLA Appropriateness Method, we held 2 survey rounds with controlled feedback and an interactive webinar to reach consensus regarding preventability and importance on a population level for a set of SLE-specific adverse conditions. In a final round, the panelists endorsed the potentially preventable conditions.

RESULTS

Thirty-five potential conditions were initially proposed; 62 conditions were ultimately considered during the Delphi process. The response rate was 100% for both survey rounds, 88% for the webinar, and 94% for final approval. The 25 SLE-specific conditions meeting consensus as potentially preventable and important on a population level fell into 4 categories: vaccine-preventable illnesses (6 conditions), medication-related complications (8 conditions), reproductive health-related complications (6 conditions), and SLE-related complications (5 conditions).

CONCLUSION

We reached consensus on a diverse set of adverse outcomes relevant to SLE patients that may be preventable if patients receive high-quality ambulatory care. This set of outcomes may be studied at the health system level to determine how to best allocate resources and improve quality to reduce avoidable outcomes and disparities among those at highest risk.

Community-Engaged Research: Leveraging Community-Academic Partnerships to Reduce Disparities and Inequities in Lupus Care

Community-engaged research is an effective tool to address health care disparities and inequities in lupus care. Community-based participatory research allows the highest degree of community engagement, but may be limited by the challenges associated with long-term funding and implementation. Community-academic partnerships are a feasible way to allow for varying degrees of community engagement and develop sustainable infrastructure. Two examples of community-engaged research in rheumatology are MONARCAS and Lupus Conversations.

A View from the past into our collective future: the oncofertility consortium vision statement

Purpose

Today, male and female adult and pediatric cancer patients, individuals transitioning between gender identities, and other individuals facing health extending but fertility limiting treatments can look forward to a fertile future. This is, in part, due to the work of members associated with the Oncofertility Consortium.

Methods

The Oncofertility Consortium is an international, interdisciplinary initiative originally designed to explore the urgent unmet need associated with the reproductive future of cancer survivors. As the strategies for fertility management were invented, developed or applied, the individuals for who the program offered hope, similarly expanded. As a community of practice, Consortium participants share information in an open and rapid manner to addresses the complex health care and quality-of-life issues of cancer, transgender and other patients. To ensure that the organization remains contemporary to the needs of the community, the field designed a fully inclusive mechanism for strategic planning and here present the findings of this process.

Results

This interprofessional network of medical specialists, scientists, and scholars in the law, medical ethics, religious studies and other disciplines associated with human interventions, explore the relationships between health, disease, survivorship, treatment, gender and reproductive longevity.

Conclusion

The goals are to continually integrate the best science in the service of the needs of patients and build a community of care that is ready for the challenges of the field in the future.

Economic Evaluation of Damage Accrual in an International Systemic Lupus Erythematosus Inception Cohort Using a Multistate Model Approach

OBJECTIVE

There is a paucity of data regarding health care costs associated with damage accrual in systemic lupus erythematosus. The present study was undertaken to describe costs associated with damage states across the disease course using multistate modeling.

METHODS

Patients from 33 centers in 11 countries were enrolled in the Systemic Lupus International Collaborating Clinics (SLICC) inception cohort within 15 months of diagnosis. Annual data on demographics, disease activity, damage (SLICC/American College of Rheumatology Damage Index [SDI]), hospitalizations, medications, dialysis, and selected procedures were collected. Ten-year cumulative costs (Canadian dollars) were estimated by multiplying annual costs associated with each SDI state by the expected state duration using a multistate model.

RESULTS

A total of 1,687 patients participated; 88.7% were female, 49.0% were white, mean ± SD age at diagnosis was 34.6 ± 13.3 years, and mean time to follow-up was 8.9 years (range 0.6-18.5 years). Mean annual costs were higher for those with higher SDI scores as follows: $22,006 (Canadian) (95% confidence interval [95% CI] $16,662, $27,350) for SDI scores ≥5 versus $1,833 (95% CI $1,134, $2,532) for SDI scores of 0. Similarly, 10-year cumulative costs were higher for those with higher SDI scores at the beginning of the 10-year interval as follows: $189,073 (Canadian) (95% CI $142,318, $235,827) for SDI scores ≥5 versus $21,713 (95% CI $13,639, $29,788) for SDI scores of 0.

CONCLUSION

Patients with the highest SDI scores incur 10-year cumulative costs that are ~9-fold higher than those with the lowest SDI scores. By estimating the damage trajectory and incorporating annual costs, data on damage can be used to estimate future costs, which is critical knowledge for evaluating the cost-effectiveness of novel therapies.

Factors Associated With Participation in Rheumatic Disease-Related Research Among Underrepresented Populations: A Qualitative Systematic Review

OBJECTIVE

Nonwhite racial/ethnic groups remain underrepresented in rheumatic disease-related research, despite being disproportionately affected by these disorders. Our objective was to systematically review the literature regarding underrepresented patients' perceptions of participation in rheumatic disease research and to develop strategies to improve diversity.

METHODS

A systematic search of Embase, PubMed/Medline, PsycINFO, and Cochrane was performed through October 2018. Two independent reviewers identified 642 unique studies; 7 met inclusion criteria (peer-reviewed articles, published in English in the last 20 years, adult population, and with a focus on underrepresented patients' participation in rheumatic research). Five coauthors provided final approval of included articles. Data abstraction was performed, and common themes and key differences were determined and adjudicated.

RESULTS

The 7 articles included (n = 1,892 patients, range per article 20-961) evaluated factors associated with research participation of underrepresented populations. Five articles were related to lupus and 2 to rheumatoid arthritis, and 5 focused on African American patients and 1 on Hispanic patients. Five of the studies provided quantitative data through surveys (n = 3) and chart review (n = 2), while 2 used qualitative analyses. Key themes regarding underrepresented patients' perceptions of participating in research included: 1) the importance of trust in the patient- physician relationship, 2) the understanding of heterogeneity within and between ethnic groups, 3) the need for authentic academic-community partnerships, and 4) the implications of strict inclusion criteria on study participant diversity.

CONCLUSION

Limited evidence exists regarding underrepresented patients' attitudes toward research participation in rheumatology, and further investigation is warranted. The themes identified provide a starting point for future interventions that promote increased diversity in rheumatic disease-related research studies.

Associations Between Classification Criteria Items in Systemic Lupus Erythematosus

OBJECTIVE

A project aimed at developing new classification criteria for systemic lupus erythematosus (SLE) is based on weighted criteria that include both laboratory and clinical items. Combinations of certain symptoms may occur commonly in SLE, which provides an argument against independently counting these items. The current study was undertaken to evaluate the interrelationship between candidate criteria items in the International Early SLE cohort and in the Euro-Lupus cohort.

METHODS

The International Early SLE cohort included 389 patients, who were diagnosed within 3 years prior to the study. Data on the ACR's 1997 update of the SLE revised criteria, the Systemic Lupus International Collaborating Clinics 2012 criteria, and on 30 additional items were collected. To evaluate the interrelationship of the criteria, a tetrachoric correlation was used to assess the degree of association between different manifestations in the same organ system. The correlations identified in the International Early SLE cohort were validated in the Euro-Lupus cohort.

RESULTS

A few relevant correlations were observed among specific clinical cutaneous manifestations (in particular, malar rash correlated with photosensitivity, alopecia, and oral ulcers) and serologic manifestations (anti-Sm and anti-double-stranded DNA and anti-RNA polymerase, anti-Ro and anti-La, and antiphospholipid antibodies), and these results were validated in the Euro-Lupus cohort. The associations within the mucocutaneous domain, hematologic and the specific autoantibodies suggest that within a single domain only the highest ranking item should be counted to avoid overrepresentation.

CONCLUSION

Some of the candidate SLE criteria cluster within domains. Given these interrelationships, multiple criteria within a domain should not be independently counted. These results are important to consider for the structure of new SLE classification criteria.