Development and validation of a simple lupus severity index using ACR criteria for classification of SLE

Clinical Characteristics of "Severe" Peripheral Psoriatic Arthritis: A Retrospective Analysis of a Longitudinal Cohort

INTRODUCTION

The concept of severity in a multidomain disease such as psoriatic arthritis (PsA) is still not well defined. The aim of this study was to identify the clinical characteristics of patients with severe peripheral PsA.

METHODS

Retrospective analysis of a longitudinal cohort. Demographic and clinical characteristics of patients with PsA were collected at baseline and at last follow-up. We defined the severe population using the modified Composite Psoriatic Disease Activity Index (mCPDAI); which excludes ankylosing spondylitis quality of life scale). Hence, patients with a score of 3 in at least one domain were defined as having severe PsA. Clinical characteristics of patients fulfilling the definition of severe PsA were compared to those non-severe.

RESULTS

We evaluated 177 patients with peripheral PsA (M/F: 98/76). Of these, 64 (36.1%) were identified as severe according to the mCPDAI criteria, at baseline. Eighteen patients (10.1%) at last follow-up still met the definition of severe PsA. At last follow-up visit, severe patients with PsA were only males (18/18, P < 0.01) and have worse outcomes in terms of disease activity, pain, function, and impact of disease. Male sex and the severity of skin involvement at baseline were factors associated with the presence of severe PsA. The agreement between the presence of severe PsA and the absence of minimal disease activity was slight [Cohen's k: 0.174 (0.084-0.264)].

CONCLUSIONS

Our study showed that severe patients with PsA had more disease activity, pain, and impact of disease than non-severe patients. Furthermore, we demonstrated that severity and disease activity are not interchangeable concepts.

Associations Between Autoimmune Disease and the Development of Age-Related Macular Degeneration

Purpose

The pathogenesis of age-related macular degeneration (AMD) likely implicates the dysregulation of immune response pathways. Several studies demonstrate that the pathogenic elements of AMD resemble those of autoimmune diseases, yet the association between AMD development and most autoimmune diseases remain unexplored.

Methods

We conducted a case-control analysis of patients ages 55 and older with new-onset International Classification of Diseases (ICD) coding of dry, wet, or unspecified AMD between 2005 and 2019 in the Merative MarketScan Commercial and Medicare Databases. The diagnosis of an autoimmune disease was defined by an outpatient or inpatient claim with a relevant ICD code in the 12 months before the index visit. Conditional multivariable logistic regression, adjusted for AMD risk factors, was used to calculate odd ratios and 95% confidence intervals.

Results

We identified 415,027 cases with new-onset ICD coding for AMD matched with propensity scores to 414,853 controls. In total, 16.1% of cases and 15.9% of controls were diagnosed with any autoimmune disease. The diagnosis of any autoimmune disease did not affect the odds of new-onset ICD coding for AMD in multivariable regression (OR = 1.01; 95% CI, 0.999-1.02). Discoid lupus erythematosus (OR = 1.29; 95% CI, 1.12-1.48), systemic lupus erythematosus (SLE) (OR = 1.21; 95% CI, 1.15-1.27), giant cell arteritis (OR = 1.19; 95% CI, 1.09-1.30), Sjogren's syndrome (OR = 1.17; 95% CI, 1.09-1.26), and Crohn's disease (OR = 1.13; 95% CI, 1.06-1.22) increased the odds of a new-onset ICD coding for AMD.

Conclusions

Most autoimmune diseases do not affect the odds of developing AMD but several common autoimmune disorders such as SLE and Crohn's disease were associated with modestly increased odds of AMD. Further studies are needed to validate and investigate the underlying mechanisms of these associations.

Do Patterns of Early Disease Severity Predict Grade 12 Academic Achievement in Youths With Childhood-Onset Chronic Rheumatic Diseases?

OBJECTIVE

To test the association of early disease severity with grade 12 standards test performance in individuals with childhood-onset chronic rheumatic diseases (ChildCRDs), including juvenile arthritis and systemic autoimmune rheumatic diseases.

METHODS

We used linked provincial administrative data to identify patients with ChildCRDs born between 1979 and 1998 in Manitoba, Canada. Primary outcomes were Language and Arts Achievement Index (LAI) scores and Math Achievement Index (MAI) scores from grade 12 standards test results as well as enrollment data. The secondary outcome was enrollment in grade 12 by 17 years of age. Latent class trajectory analysis identified disease severity groups using physician visits following diagnosis. Multivariable linear regression tested the association of disease severity groups with LAI and MAI scores, and logistic regression tested the association of disease severity with age-appropriate enrollment, after adjusting for sociodemographic factors and psychiatric morbidities.

RESULTS

The study cohort included 541 patients, 70.1% of whom were female. A 3-class trajectory model provided the best fit; it classified 9.7% of patients as having severe disease, 54.5% as having moderate disease, and 35.8% as having mild disease. After covariate adjustment, severe disease was associated with poorer LAI and MAI scores but not with age-appropriate enrollment.

CONCLUSION

Among patients with ChildCRDs, those with severe disease performed more poorly on grade 12 standards tests, independent of sociodemographic and psychiatric risk factors. Clinicians should work with educators and policy makers to advocate for supports to improve educational outcomes of patients with ChildCRDs.

Clinical and economic characterization of mild, moderate, and severe systemic lupus erythematosus: Real-world observation across payer channels in the United States

BACKGROUND: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease affecting as many as 322,000 people in the United States. Because of heterogeneity in both disease course and clinical manifestations, it is critical to identify a prevalent SLE population that includes patients with moderate or severe disease. Additionally, differences in the clinical and economic burden of SLE may exist across payer channels, yet to date this has not been reported in any previous studies. OBJECTIVE: To characterize the clinical and economic burden of SLE across disease severity and payer channels. METHODS: This retrospective study included patients from Merative MarketScan Commercial, Medicare Supplemental, and Medicaid databases from 2013 to 2020 (Commercial/Medicare) or 2013 to 2019 (Medicaid), with at least 1 inpatient or at least 2 outpatient SLE claims and no invalid steroid claims. The index date was a random SLE claim with at least 12 months of disease history. Patients were continuously enrolled 1 year pre-index (baseline) and 1 year post-index and classified with mild, moderate, or severe disease using a published algorithm. Baseline demographics, clinical characteristics, flares, and utilization/costs were compared across disease severity. RESULTS: 22,385 Commercial, 2,035 Medicare, and 8,083 Medicaid patients had SLE. Most Medicaid patients (51.1%) had severe disease. Comorbidity scores increased with disease severity (P < 0.001). 30.7% of Commercial, 34.1% Medicare, and 51.3% Medicaid patients had opioids, which increased with disease severity (P < 0.001). All-cause costs ranged from 1.8- to 2.3-fold for moderate vs mild and 4.2- to 6.5-fold for severe vs mild. Outpatient medical costs accounted for the highest proportion of all-cause costs, except Medicaid patients with severe disease, for whom inpatient costs were highest. Mean (SD) SLE-related annual costs were $23,030 (43,304) vs $1,738 (4,427) in severe vs mild for Commercial, $12,264 (31,896) vs $2,024 (4,998) for Medicare, and $7,572 (27,719) vs $787 (3,797) for Medicaid (P < 0.001). For patients with severe disease in Medicaid, 16.5% and 60.1% had inpatient and emergency department (ED) visits, respectively, vs 10.3% and 26.5% Commercial vs 10.6% and 24.6% Medicare. Mean [SD] flares per year in the baseline period increased from 2.5 [1.7] in mild to 4.6 [1.9] in severe for Commercial, 3.2 [1.9] to 5.0 [2.1] for Medicare, and 2.0 [1.6] to 4.5 [2.0] for Medicaid. CONCLUSIONS: Patients with severe SLE experienced more comorbidities, flares, and utilization/costs. Outpatient costs were the largest driver of all-cause costs for Commercial and Medicare (and Medicaid for mild to moderate SLE). Medicaid beneficiaries had the highest rate of severe SLE, highest use of ED and inpatient services, and highest oral corticosteroid and opioid use but the lowest utilization of disease-modifying treatments. Results demonstrate an unmet need in SLE treatment, especially among patients with moderate to severe disease or Medicaid coverage. DISCLOSURES: This study was funded by AstraZeneca. Drs Wu and Bryant are current employees of AstraZeneca and may own stock and/or options. At the time of the study, Ms Perry and Mr Tkacz were employed by IBM Watson Health, which received funding from AstraZeneca to conduct this study.

Molecular Taxonomy of Systemic Lupus Erythematosus Through Data-Driven Patient Stratification: Molecular Endotypes and Cluster-Tailored Drugs

Objectives

Treatment of Systemic Lupus Erythematosus (SLE) is characterized by a largely empirical approach and relative paucity of novel compound development. We sought to stratify SLE patients based on their molecular phenotype and identify putative therapeutic compounds for each molecular fingerprint.

Methods

By the use of whole blood RNA-seq data from 120 SLE patients, and in a data-driven, clinically unbiased manner, we established modules of commonly regulated genes (molecular endotypes) and re-stratified patients through hierarchical clustering. Disease activity and severity were assessed using SLEDAI-2K and Lupus Severity Index, respectively. Through an in silico drug prediction pipeline, we investigated drugs currently in use, tested in lupus clinical trials, and listed in the iLINCS prediction databases, for their ability to reverse the gene expression signatures in each molecular endotype. Drug repurposing analysis was also performed to identify perturbagens that counteract group-specific SLE signatures.

Results

Molecular taxonomy identified five lupus endotypes, each characterized by a unique gene module enrichment pattern. Neutrophilic signature group consisted primarily of patients with active lupus nephritis, while the B-cell expression group included patients with constitutional features. Patients with moderate severity and serologic activity exhibited a signature enriched for metabolic processes. Mild disease was distributed in two groups, exhibiting enhanced basic cellular functions, myelopoiesis, and autophagy. Bortezomib was predicted to reverse disturbances in the "neutrophilic" cluster, azathioprine and ixazomib in the "B-cell" cluster, and fostamatinib in the "metabolic" patient subgroup.

Conclusion

The clinical spectrum of SLE encompasses distinct molecular endotypes, each defined by unique pathophysiologic aberrancies potentially reversible by distinct compounds.

Autoimmune Regulator Gene Polymorphisms in Egyptian Systemic Lupus Erythematosus Patients: Preliminary Results

Background

Systemic lupus erythematosus (SLE) is a systemic autoimmune disease. The autoimmune regulator (AIRE) is a master regulator of self-tolerance development. AIRE mutations lead to the development of autoimmune polyglandular syndrome type 1 while AIRE polymorphisms have been linked to organ-specific autoimmunity. The study is aimed at addressing the association between AIRE polymorphisms, rs2075876 (G > A) and rs760426 (A > G), and SLE susceptibility and expression in Egyptian patients.

Methods

Ninety-nine patients were included. One hundred and ten, and 123 control subjects were genotyped for rs2075876 and rs760426, respectively. Lupus severity was assessed using the Lupus Severity of Disease Index and Lupus Severity Index (LSI). Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology (ACR) damage index was considered. Genotyping was done using StepOne Real-Time PCR. Results. AIRE rs760426 GG was more frequent in the patients under the genotype level (14.1% vs. 4.9%, p = 0.032) and recessive model (14.1% vs. 4.9%, p = 0.017, OR = 3.2 (1.2-8.7)). Musculoskeletal involvement and nephritis were associated with AIRE rs2075876 under the dominant (97.9% vs. 80.8%, p = 0.009, OR = 11 (1.3-89.2)) and recessive models (100% vs. 69.3%, p = 0.032), respectively; and both were linked to AIRE rs2075876 at the allelic level: 98.3% vs. 85%, p = 0.005, OR = 10.1 (1.3-76.6) and 82.8% vs. 68.6, p = 0.041, OR = 2.2 (1-4.7), respectively. Patients with AIRE rs2075876 A alleles had a higher damage index ( 1 ± 1.3 vs. 0.6 ± 1.1, p = 0.045) while the LSI was greater in patients with AIRE rs2075876 (8.5 ± 0.5 vs. 7.8 ± 1.3, p = 0.002) and rs760426 (8.6 ± 11 vs. 7.8 ± 1.2, p = 0.031) under the recessive models. Conclusion. AIRE rs760426 could share in SLE susceptibility while AIRE rs2075876 could influence the disease expression and burden in Egyptian patients.

Genome-wide assessment of genetic risk for systemic lupus erythematosus and disease severity

Using three European and two Chinese genome-wide association studies (GWAS), we investigated the performance of genetic risk scores (GRSs) for predicting the susceptibility and severity of systemic lupus erythematosus (SLE), using renal disease as a proxy for severity. We used four GWASs to test the performance of GRS both cross validating within the European population and between European and Chinese populations. The performance of GRS in SLE risk prediction was evaluated by receiver operating characteristic (ROC) curves. We then analyzed the polygenic nature of SLE statistically. We also partitioned patients according to their age-of-onset and evaluated the predictability of GRS in disease severity in each age group. We found consistently that the best GRS in the prediction of SLE used SNPs associated at the level of P < 1e−05 in all GWAS data sets and that SNPs with P-values above 0.2 were inflated for SLE true positive signals. The GRS results in an area under the ROC curve ranging between 0.64 and 0.72, within European and between the European and Chinese populations. We further showed a significant positive correlation between a GRS and renal disease in two independent European GWAS (P_cohort1 = 2.44e−08; P_cohort2 = 0.00205) and a significant negative correlation with age of SLE onset (P_cohort1 = 1.76e−12; P_cohort2 = 0.00384). We found that the GRS performed better in the prediction of renal disease in the ‘later onset’ compared with the ‘earlier onset’ group. The GRS predicts SLE in both European and Chinese populations and correlates with poorer prognostic factors: young age-of-onset and lupus nephritis.

High disease activity status suggests more severe disease and damage accrual in systemic lupus erythematosus

OBJECTIVE

Disease severity in SLE is an important concept related to disease activity, treatment burden and prognosis. We set out to evaluate if high disease activity status (HDAS), based on ever attainment of a Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) disease activity score of ≥10, is an indicator for disease severity in SLE.

METHODS

Using prospectively collected data, we assessed the association of HDAS with sociodemographic and disease characteristics and adverse clinical outcomes using logistic regression or generalised estimating equations.

RESULTS

Of 286 patients with SLE, who were observed for a median (range) of 5.1 years (1-10.8 years), 43.7% experienced HDAS at least once during the observational period. Autoantibody positivity, particularly anti-dsDNA and anti-Sm positivity, were associated with increased likelihood of HDAS. Age ≥45 years at diagnosis was associated with reduced likelihood of HDAS (p=0.002). Patients with HDAS had higher Physician Global Assessment score (>1: OR 8.1, p<0.001) and were more likely to meet criteria for flare (mild/moderate flare: OR 4.4, p<0.001; severe flare: OR 17.2, p<0.001) at the time of experiencing HDAS. They were also more likely to have overall higher disease activity, as defined by time-adjusted mean SLEDAI-2K score in the highest quartile (OR 11.7, 95% CI 5.1 to 26.6; p>0.001), higher corticosteroid exposure (corticosteroid dose in highest quartile: OR 7.7, 95% CI 3.9 to 15.3; p<0.001) and damage accrual (OR 2.3, 95% CI 1.3 to 3.9; p=0.003) when compared with non-HDAS patients.

CONCLUSIONS

HDAS is associated with more severe disease, as measured by higher disease activity across time, corticosteroid exposure and damage accrual. The occurrence of HDAS may be a useful prognostic marker in the management of SLE.

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.

Transcriptomic analysis of immune cells in a multi-ethnic cohort of systemic lupus erythematosus patients identifies ethnicity- and disease-specific expression signatures

Systemic lupus erythematosus (SLE) is an autoimmune disease in which outcomes vary among different racial groups. We leverage cell-sorted RNA-seq data (CD14+ monocytes, B cells, CD4+ T cells, and NK cells) from 120 SLE patients (63 Asian and 57 White individuals) and apply a four-tier approach including unsupervised clustering, differential expression analyses, gene co-expression analyses, and machine learning to identify SLE subgroups within this multiethnic cohort. K-means clustering on each cell-type resulted in three clusters for CD4 and CD14, and two for B and NK cells. To understand the identified clusters, correlation analysis revealed significant positive associations between the clusters and clinical parameters including disease activity as well as ethnicity. We then explored differentially expressed genes between Asian and White groups for each cell-type. The shared differentially expressed genes across cells were involved in SLE or other autoimmune-related pathways. Co-expression analysis identified similarly regulated genes across samples and grouped these genes into modules. Finally, random forest classification of disease activity in the White and Asian cohorts showed the best classification in CD4+ T cells in White individuals. The results from these analyses will help stratify patients based on their gene expression signatures to enable SLE precision medicine.

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.

High Disease Severity Among Asians in a US Multiethnic Cohort of Individuals with Systemic Lupus Erythematosus

OBJECTIVE

Knowledge about systemic lupus erythematosus (SLE) outcomes among US Asians is lacking. We examined SLE disease activity, severity, and damage among Asians of primarily Chinese and Filipino descent in a multiethnic cohort.

METHODS

California Lupus Epidemiology Study (CLUES, n=328) data were analyzed. Data were collected in English, Cantonese, Mandarin or Spanish, using validated instruments for disease activity (Systemic Lupus Erythematosus Disease Activity Index), disease severity (Lupus Severity Index [LSI]) and disease damage (Systemic Lupus International Collaborating Clinics Damage Index). We assessed differences in SLE outcomes among racial/ethnic groups using multivariable linear regression including interaction terms for age at diagnosis and race/ethnicity.

RESULTS

Asians were the largest racial/ethnic group (38%; [Chinese=22%; Filipino=9%; Other=7%]). Average age at diagnosis (years) was younger among Asians (27.9), particularly Filipinos (22.2), compared with Whites (29.4) and Blacks (34.0). After adjustment, disease activity and damage were not significantly different across groups. Disease severity among Asians was significantly higher than Whites (LSI 7.1 vs 6.5; p<0.05) but similar to Blacks and Hispanics. Early age at diagnosis was associated with greater organ damage among Asians, Blacks, and Hispanics, but not Whites.

CONCLUSIONS

SLE was more severe among US Asians compared to Whites. Filipinos were affected at strikingly young ages. Asians and non-White groups with younger age at diagnosis had greater organ damage than Whites. Such racial/ethnic distinctions suggest the need for heightened clinical awareness to improve health outcomes among Asians with SLE. Further study of SLE outcomes across a range of US Asian subgroups is important.

Relationships Between Adverse Childhood Experiences and Health Status in Systemic Lupus Erythematosus

OBJECTIVE

Adverse childhood experiences (ACEs) are associated with poor adult health and immune dysregulation. The impact of ACEs on patients with autoimmune disease is unknown. The present study was undertaken to compare the prevalence of ACEs in patients with systemic lupus erythematosus (SLE) to a population-based survey estimate and to investigate relationships between ACEs and SLE outcomes.

METHODS

Data derived from the California Lupus Epidemiology Study (CLUES), a sample of adult patients with SLE. Participants completed a 10-item ACE questionnaire covering 3 domains (abuse, neglect, household challenges). We estimated ACE prevalence in 269 CLUES participants compared to geographically matched respondents from the 2015 California Behavioral Risk Factor Surveillance System (BRFSS), which was standardized to CLUES participant characteristics (age, sex, race/ethnicity). We examined associations of patient-reported and physician-assessed health status measures with overall ACE levels and domains using multivariable linear regression, controlling for sociodemographics, nephritis, and juvenile-onset SLE.

RESULTS

Although specific domains varied, overall ACE levels were similar for CLUES and BRFSS respondents. Among SLE patients, 63.2% had ≥1 ACE, and 19.3% had ≥4. ACEs were more prevalent in those who were older, women, Latino or African American, and without college degrees, but not in those with lupus nephritis. In adjusted models, higher ACE levels and ACE domains were associated with worse patient-reported SLE activity, depression, and health status but were not significantly associated with physician-assessed SLE activity, damage, or severity.

CONCLUSION

Given the association between ACE levels and important patient-reported outcomes in SLE, our study reinforces the need for prevention of ACEs in childhood and for clinical interventions to promote resilience among adults who have experienced ACEs.

Expanded Autoantibody Profiles for Subsetting of Native American, African American, and European American Patients With Systemic Lupus Erythematosus

Objective

Many Native American (NA) patients with systemic lupus erythematosus (SLE) do not exhibit the classical SLE autoantibody profiles of European American (EA) and African American (AA) patients with SLE. The poorer SLE disease outcomes noted in NA patients highlights a need for more equitable diagnostic and prognostic tools for NA patients with SLE. The objective was to identify informative autoantibody profiles for NA, AA, and EA patients with SLE using an expanded set of autoantigens.

Methods

Sera from 49 NA, 49 AA, and 49 EA age‐, sex‐, and antinuclear autoantibody titer–matched patients with SLE who met the American College of Rheumatology classification criteria and 10 ethnicity‐, sex‐, and age‐matched controls were tested for autoantibody reactivity by autoantigen microarrays. Autoantibodies that were significantly elevated in patients with SLE compared with ethnicity‐specific controls were selected for hierarchical clustering. Differences in clinical criteria between patient clusters were determined by Fisher's exact test and corrected for multiple comparisons.

Results

NA, AA, and EA patients with SLE each had a cluster distinguished by higher levels of anti‐Ro52 and another cluster distinguished by nucleic acid–specific autoantibodies. Additional clusters were distinguished in NA patients by elevated extracellular matrix autoantibodies and were distinguished in AA patients by elevated Sm/RNP autoantibody and elevated nucleolin/histone autoantibody. Two EA patient clusters with similar nucleic acid– and Ro52‐specific autoantibodies were distinguished by either high or low histone 2A reactivity. Renal manifestations trended higher in the NA Ro52 cluster and were significantly enriched in the AA nucleolin/histone cluster. The AA nucleolin/histone cluster and EA H2A cluster had higher disease activity.

Conclusion

Expanded autoantibody profiles can identify informative subsets of patients with SLE.

Quality of Care for the Screening, Diagnosis, and Management of Lupus Nephritis Across Multiple Health Care Settings

OBJECTIVE

We examined quality measures for screening, diagnosis, and treatment of lupus nephritis (LN) among participants of the California Lupus Epidemiology Study across 25 different clinical sites to identify gaps in quality of care.

METHODS

Data from 250 participants with lupus were analyzed across 3 sources (medical records, physician examination, and patient interviews). Overall performance on 8 quality measures was calculated separately for participants with and without LN. We used generalized estimating equations in which the outcome was performance on measures, adjusting for participant demographics, lupus disease severity, and practice characteristics.

RESULTS

Of 148 patients without LN, 42% underwent screening laboratory tests for nephritis, 38% underwent lupus activity serum studies, and 81% had their blood pressure checked every 6 months. Of 102 LN patients, 67% had a timely kidney biopsy, at least 81% had appropriate treatment, and 78% achieved target blood pressure within 1 year of diagnosis. Overall performance in participants across quality measures was 54% (no LN) and 80% (LN). Significantly higher overall performance for screening measures for LN was seen at academic (63.4-73%) versus community clinics (37.9-38.4%). Similarly, among those with LN, higher performance in academic (84.1-85.2%) versus community clinics (54.8-60.2%) was observed for treatment measures.

CONCLUSION

In this quality-of-care analysis across 25 diverse clinical settings, we found relatively high performance on measures for management of LN. However, future work should focus on bridging the gaps in lupus quality of care for patients without nephritis, particularly in community settings.

Evolving phenotype of systemic lupus erythematosus in Caucasians: low incidence of lupus nephritis, high burden of neuropsychiatric disease and increased rates of late-onset lupus in the 'Attikon' cohort

OBJECTIVE

This study aimed to analyse the phenotype of systemic lupus erythematosus (SLE) at first presentation and during follow-up in a newly established SLE cohort based at 'Attikon' University Hospital. The hospital combines primary, secondary and tertiary care for the region of Western Attica, Greece.

METHODS

This study comprised a mixed prevalent and incident cohort of 555 Caucasian patients diagnosed with SLE according to American College of Rheumatology 1997 criteria and/or the Systemic Lupus Erythematosus International Collaborating Clinics (SLICC) 2012 criteria. Demographic and clinical characteristics, patterns of severity, treatments and SLICC damage index were recorded for each patient at the time of diagnosis and at last evaluation.

RESULTS

The mean age at lupus diagnosis was 38.3 years (standard deviation = 15.6 years), with a median disease duration at last follow-up of two years (interquartile range 1-11). At initial presentation, the most common 'classification' manifestations were arthritis (73.3%), acute cutaneous lupus (65%) and unexplained fever (25%), while among symptoms not included in any criteria set, Raynaud's phenomenon (33%) was the most common. Kidney and neuropsychiatric involvement as presenting manifestations were present in 10.3% and 11.5% cases, respectively. Irreversible damage accrual was present in 17.8% within six months of disease diagnosis, attributed mainly to thrombotic and neuropsychiatric disease. At last evaluation, 202 (36.4%) patients had developed severe disease, of whom more than half were treated with pulse cyclophosphamide.

CONCLUSION

In this cohort of Caucasian patients, lupus nephritis is not as common as in older cohorts, while neuropsychiatric disease is emerging as a major frontier in lupus prevention and care. These data may help to document changes in the natural history and treatment of SLE over time and may have implications for its early recognition and management.

A phenotypic and genomics approach in a multi-ethnic cohort to subtype systemic lupus erythematosus

Systemic lupus erythematous (SLE) is a heterogeneous autoimmune disease in which outcomes vary among different racial groups. Here, we aim to identify SLE subgroups within a multiethnic cohort using an unsupervised clustering approach based on the American College of Rheumatology (ACR) classification criteria. We identify three patient clusters that vary according to disease severity. Methylation association analysis identifies a set of 256 differentially methylated CpGs across clusters, including 101 CpGs in genes in the Type I Interferon pathway, and we validate these associations in an external cohort. A cis-methylation quantitative trait loci analysis identifies 744 significant CpG-SNP pairs. The methylation signature is enriched for ethnic-associated CpGs suggesting that genetic and non-genetic factors may drive outcomes and ethnic-associated methylation differences. Our computational approach highlights molecular differences associated with clusters rather than single outcome measures. This work demonstrates the utility of applying integrative methods to address clinical heterogeneity in multifactorial multi-ethnic disease settings.

Spectrum of cutaneous lupus erythematosus in South Africans with systemic lupus erythematosus

BACKGROUND

Cutaneous involvement is very common in systemic lupus erythematosus. We describe the prevalence and spectrum of lupus-specific (cutaneous lupus erythematosus) and non-specific cutaneous features amongst mostly black South Africans with systemic lupus erythematosus.

PATIENTS AND METHODS

A retrospective record review of 298 South Africans (262 blacks and 36 non-blacks) with systemic lupus erythematosus was carried out. Cutaneous features were classified according to the Gilliam and Sontheimer classification of cutaneous lupus.

RESULTS

Most (81.5%) patients were black African females. The mean (SD) age at diagnosis and follow-up duration were 35.0 (11.8) and 8.0 (5.9) years, respectively. Cutaneous lupus erythematosus was seen in 76.1% of patients, mainly chronic cutaneous lupus erythematosus with the discoid lupus erythematosus subtype seen in 52.1% of patients. Acute cutaneous lupus erythematosus was seen in 30.2% of patients and was more common in non-blacks than blacks (odds ratio = 3.8 (1.9-7.9)); localized acute cutaneous lupus erythematosus was more common than generalized acute cutaneous lupus erythematosus (odds ratio = 2.6 (1.6-4.4)). Non-specific cutaneous features occurred in 77.2%, with oral/nasal ulcers and Raynaud's phenomenon each occurring in approximately 40% of patients. Diffuse melanonychia at initial diagnosis was present in 37.4% of patients and was more common in blacks than non-blacks (odds ratio = 3.1 (1.3-7.3)). Acute cutaneous lupus erythematosus was associated with renal disease (odds ratio = 2.8 (1.6-4.7)) and chronic cutaneous lupus erythematosus with arthritis (odds ratio = 2.02 (1.24-3.29)). Diffuse melanonychia was associated with less renal disease and anti-dsDNA antibody positivity (odds ratio = 0.4 (0.3-0.7) and 0.4 (0.2-0.6), respectively) and significantly lower lupus severity index scores (mean (SD) = 5.99 (1.11) vs 6.56 (1.36) in patients with no melanonychia, p < 0.05)).

CONCLUSION

In this study of South Africans with systemic lupus erythematosus, the skin was the most commonly affected organ. In general, cutaneous lupus erythematosus was associated with less severe systemic disease. Acute cutaneous lupus erythematosus was less common in blacks, whereas discoid lupus erythematosus was more common than reported in Caucasians. Diffuse melanonychia was a distinctive finding and was associated with milder systemic disease.

Combined genetic and transcriptome analysis of patients with SLE: distinct, targetable signatures for susceptibility and severity

Objectives

Systemic lupus erythematosus (SLE) diagnosis and treatment remain empirical and the molecular basis for its heterogeneity elusive. We explored the genomic basis for disease susceptibility and severity.

Methods

mRNA sequencing and genotyping in blood from 142 patients with SLE and 58 healthy volunteers. Abundances of cell types were assessed by CIBERSORT and cell-specific effects by interaction terms in linear models. Differentially expressed genes (DEGs) were used to train classifiers (linear discriminant analysis) of SLE versus healthy individuals in 80% of the dataset and were validated in the remaining 20% running 1000 iterations. Transcriptome/genotypes were integrated by expression-quantitative trail loci (eQTL) analysis; tissue-specific genetic causality was assessed by regulatory trait concordance (RTC).

Results

SLE has a ‘susceptibility signature’ present in patients in clinical remission, an ‘activity signature’ linked to genes that regulate immune cell metabolism, protein synthesis and proliferation, and a ‘severity signature’ best illustrated in active nephritis, enriched in druggable granulocyte and plasmablast/plasma–cell pathways. Patients with SLE have also perturbed mRNA splicing enriched in immune system and interferon signalling genes. A novel transcriptome index distinguished active versus inactive disease—but not low disease activity—and correlated with disease severity. DEGs discriminate SLE versus healthy individuals with median sensitivity 86% and specificity 92% suggesting a potential use in diagnostics. Combined eQTL analysis from the Genotype Tissue Expression (GTEx) project and SLE-associated genetic polymorphisms demonstrates that susceptibility variants may regulate gene expression in the blood but also in other tissues.

Conclusion

Specific gene networks confer susceptibility to SLE, activity and severity, and may facilitate personalised care.

Burden of comorbidities in South Africans with systemic lupus erythematosus

INTRODUCTION

To investigate the prevalence and spectrum of comorbidities in South Africans with systemic lupus erythematosus (SLE).

PATIENTS AND METHODS

A nested case-control study of a known alive group (AG) and deceased group (DG) of 200 and 40 patients, respectively, matched for age and sex, attending a tertiary Lupus Clinic. Comorbidities that were documented included, but not restricted to, those listed in the Charlson comorbidity index (CCI). Lupus disease severity was assessed using the lupus severity index (LSI).

RESULTS

Patients were mainly black female (94%), and the median age (IQR) and median disease duration (IQR) were 33 (25-42) and 6 (3-11) years, respectively. Overall, 191 (79.5%) patients experienced ≥ 1 comorbidities. The median (IQR) LSI and CCI scores were significantly higher in the DG than the AG (8.5 (6.7-9.1) vs 6.3 (5.2-8.3), p < 0.001 and 1 (1-3) vs 0 (0-2), p = 0.002, respectively). The commonest comorbidities were hypertension (42%), serious infections (36.6%) and tuberculosis (TB) (18.8%), the latter two being significantly more common in the DG (OR = 7.34, p < 0.0001 and OR = 3.40, p = 0.001, respectively). Of the CCI comorbidities, congestive cardiac failure (OR = 10.39, p = 0.0003), cerebrovascular disease (OR = 7.29, p = 0.01) and chronic kidney disease (OR = 3.08, p = 0.02) were more common in the DG. Both serious infections and TB were independent predictors of death.

CONCLUSION

In this study of predominantly black South African SLE patients, comorbidities were common, with serious infections and TB amongst the commonest comorbidities. Unlike in industrialised Caucasian populations, cardiovascular comorbidities were rare in spite of a high prevalence of HPT.

Is systemic lupus erythematosus different in urban versus rural living environment? Data from the Cretan Lupus Epidemiology and Surveillance Registry

BACKGROUND

Examining urban-rural differences can provide insights into susceptibility or modifying factors of complex diseases, yet limited data exist on systemic lupus erythematosus (SLE).

OBJECTIVE

To study SLE risk, manifestations and severity in relation to urban versus rural residence.

METHODOLOGY

Cross-sectional analysis of the Crete Lupus Registry. Demographics, residency history and clinical data were obtained from interviews and medical records ( N=399 patients). Patients with exclusively urban, rural or mixed urban/rural residence up to enrolment were compared.

RESULTS

The risk of SLE in urban versus rural areas was 2.08 (95% confidence interval: 1.66-2.61). Compared with rural, urban residence was associated with earlier (by almost seven years) disease diagnosis - despite comparable diagnostic delay - and lower female predominance (6.8:1 versus 15:1). Rural patients had fewer years of education and lower employment rates. Smoking was more frequent among urban, whereas pesticide use was increased among rural patients. A pattern of malar rash, photosensitivity, oral ulcers and arthritis was more prevalent in rural patients. Residence was not associated with organ damage although moderate/severe disease occurred more frequently among rural-living patients (multivariable adjusted odds ratio: 2.17, p=0.011).

CONCLUSION

Our data suggest that the living environment may influence the risk, gender bias and phenotype of SLE, not fully accounted for by sociodemographic factors.

Clinical and Serologic Features in Patients With Incomplete Lupus Classification Versus Systemic Lupus Erythematosus Patients and Controls

OBJECTIVE

Incomplete lupus erythematosus (ILE) involves clinical and/or serologic manifestations consistent with but insufficient for systemic lupus erythematosus (SLE) classification. Because the nature of ILE is poorly understood and no treatment recommendations exist, we examined the clinical manifestations, medication history, and immunologic features in a diverse collection of ILE and SLE patients.

METHODS

Medical records of subjects enrolled in the Lupus Family Registry and Repository were reviewed for medication history and American College of Rheumatology (ACR) classification criteria to identify ILE patients (3 ACR criteria; n = 440) and SLE patients (≥4 ACR criteria; n = 3,397). Participants completed the Connective Tissue Disease Screening Questionnaire. Anticardiolipin and plasma B lymphocyte stimulator (BLyS) were measured by enzyme-linked immunosorbent assay, antinuclear antibodies (ANAs) by indirect immunofluorescence, and 13 autoantibodies by bead-based assays.

RESULTS

On average, ILE patients were older than SLE patients (46.2 years versus 42.0 years; P < 0.0001), and fewer ILE patients were African American (23.9% versus 32.2%; P < 0.001). ILE patients exhibited fewer autoantibody specificities than SLE patients (1.3 versus 2.6; P < 0.0001) and were less likely to have ANA titers ≥1:1,080 (10.5% versus 19.5%; P < 0.0001). BLyS levels were intermediate in ILE patients (controls < ILE; P = 0.016; ILE < SLE; P = 0.008). Pericarditis, renal, or neurologic manifestations occurred in 12.5% of ILE patients and were associated with non-European American race/ethnicity (P = 0.012). Hydroxychloroquine use increased over time, but was less frequent in ILE than SLE patients (65.2% versus 83.1%; P < 0.0001).

CONCLUSION

Although usually characterized by milder symptoms, ILE manifestations may require immunomodulatory treatments. Longitudinal studies are necessary to understand how ILE affects organ damage and future SLE risk, and to delineate molecular pathways unique to ILE.

Dysregulation of miRNA-146a contributes to the development of lupus nephritis via targeting of TRAF6

Aim: The objective of this study was to identify the association between genotypes of miR-146a rs2910164 and expression of TRAF6 as well as the risk of lupus nephritis (LN). Results: A total of 567 systemic lupus erythematosus patients both with and without LN were included in the study. The luciferase activity of cells that carried miR-146a mimics was much lower than control and the miR-146a mRNA expression with the GG SNP was significantly overexpressed compared with that in GC and CC groups. Expressions of TRAF6 mRNA and protein with GG were markedly lower than those in GC and CC groups. Mesangial cells treated with miR-146a inhibitors displayed higher expression of TRAF6 mRNA and protein compared with scramble control, miR-146a mimics and TRAF6 siRNA groups. Conclusion: Rs2910164 is associated with the risk of LN and could function as a therapeutic target of the disease.