Long-term mortality in treated-to-target RA and UA: results of the BeSt and IMPROVED cohort.

OBJECTIVES: To study long-term (up to 20-year) mortality of two treat-to-target trial cohorts in undifferentiated arthritis (UA) and early rheumatoid arthritis (RA). METHODS: The BeSt (BehandelStrategieën) study (n=508, early RA) was performed between 2000 and 2012. For 10 years, patients were treated-to-target disease activity score (DAS)≤2.4.The Induction therapy with Methotrexate and Prednisone in Rheumatoid Or Very Early arthritic Disease (IMPROVED) study (n=610, early RA/UA) was performed between 2007 and 2015. For 5 years, patients were treated-to-target DAS<1.6.Vital status of BeSt/IMPROVED participants was assessed up to and including 31 December 2021. Standardised mortality ratios (SMRs) were calculated. Stratified analyses for anticitrullinated protein antibody (ACPA) and smoking status were performed. Death causes and the potential effect of disease activity during the trial period on late mortality were assessed. RESULTS: Excess mortality was found in both BeSt (SMR 1.32, 95% CI 1.14 to 1.53) and IMPROVED (SMR 1.33, 95% CI 1.10 to 1.63) and became manifest after 10 years. Excess mortality was statistically significant in ACPA+ patients who smoked (BeSt: SMR 2.80, 95% CI 2.16 to 3.64; IMPROVED: 2.14, 95% CI 1.33 to 3.45). Mean survival time was 10 (95% CI 5 to 16) months shorter than expected in BeSt and 13 (95% CI 11 to 16) months in IMPROVED. The HR for mortality was 1.34 (95% CI 0.96 to 1.86; BeSt)/1.13 (95% CI 0.67 to 1.91; IMPROVED) per 1 point increase in mean DAS during the trial. The main cause of death was malignancy. CONCLUSIONS: After long-term treatment-to-target, excess mortality occurred in patients with RA after>10 years since treatment start, with smoking as an important risk factor.

Initial glucocorticoid bridging in rheumatoid arthritis: does it affect glucocorticoid use over time?

OBJECTIVES: To compare the use of glucocorticoids (GC) over time in patients with rheumatoid arthritis (RA) who were or were not treated initially with GC bridging therapy. METHODS: Data from the BeSt, CareRA and COBRA trials were combined in an individual patient data (IPD) meta-analysis. We compared GC use between bridgers and non-bridgers at 12, 18 and 24 months from baseline with mixed-effects regression analysis. Secondary outcomes were mean cumulative GC dose until 24 months after baseline with and without the bridging period, Disease Activity Score based on 28 joints (DAS28) over time and number of disease-modifying antirheumatic drug (DMARD) changes. RESULTS: 252/625 patients (40%) were randomised to GC bridging (bridgers). Excluding the period of bridging, later GC use was low in both groups and cumulative doses were similar. Mean DAS28 was similar between the groups, but bridgers improved more rapidly (p<0.001) in the first 6 months and the bridgers required significantly fewer changes in DMARDs (incidence rate ratio 0.59 (95% CI 0.38 to 0.94)). GC use was higher in the bridgers at t=12 months (OR 3.27 (95% CI 1.06 to 10.08)) and the bridging schedules resulted in a difference in cumulative GC dose of 2406 mg (95% CI 1403 to 3408) over 24 months. CONCLUSION: In randomised trials comparing GC bridging and no GC bridging, bridgers had a more rapid clinical improvement, fewer DMARD changes and similar late use of GC compared with non-bridgers. GC bridging per protocol resulted, as could be expected, in a higher cumulative GC dose over 2 years.

Unmet need in rheumatology: reports from the Advances in Targeted Therapies meeting, 2023.

The Advances in Targeted Therapies meets annually, convening experts in the field of rheumatology to both provide scientific updates and identify existing scientific gaps within the field. To review the major unmet scientific needs in rheumatology. The 23rd annual Advances in Targeted Therapies meeting convened with more than 100 international basic scientists and clinical researchers in rheumatology, immunology, infectious diseases, epidemiology, molecular biology and other specialties relating to all aspects of immune-mediated inflammatory diseases. We held breakout sessions in five rheumatological disease-specific groups including: rheumatoid arthritis (RA), psoriatic arthritis (PsA), axial spondyloarthritis (axSpa), systemic lupus erythematosus (SLE), systemic sclerosis (SSc) and vasculitis, and osteoarthritis (OA). In each group, experts were asked to identify and prioritise current unmet needs in clinical and translational research. An overarching theme across all disease states is the continued need for clinical trial design innovation with regard to therapeutics, endpoint and disease endotypes. Within RA, unmet needs comprise molecular classification of disease pathogenesis and activity, pre-/early RA strategies, more refined pain profiling and innovative trials designs to deliver on precision medicine. Continued scientific questions within PsA include evaluating the genetic, immunophenotypic, clinical signatures that predict development of PsA in patients with psoriasis, and the evaluation of combination therapies for difficult-to-treat disease. For axSpA, there continues to be the need to understand the role of interleukin-23 (IL-23) in pathogenesis and the genetic relationship of the IL-23-receptor polymorphism with other related systemic inflammatory diseases (eg, inflammatory bowel disease). A major unmet need in the OA field remains the need to develop the ability to reliably phenotype and stratify patients for inclusion in clinical trials. SLE experts identified a number of unmet needs within clinical trial design including the need for allowing endpoints that reflect pharmacodynamic/functional outcomes (eg, inhibition of type I interferon pathway activation; changes in urine biomarkers). Lastly, within SSc and vasculitis, there is a lack of biomarkers that predict response or disease progression, and that allow patients to be stratified for therapies. There remains a strong need to innovate clinical trial design, to identify systemic and tissue-level biomarkers that predict progression or response to therapy, endotype disease, and to continue developing therapies and therapeutic strategies for those with treatment-refractory disease. This document, based on expert consensus, should provide a roadmap for prioritising scientific endeavour in the field of rheumatology.

Individual patient data meta-analysis on continued use of glucocorticoids after their initiation as bridging therapy in patients with rheumatoid arthritis.

OBJECTIVES: To investigate whether patients with rheumatoid arthritis (RA) can discontinue glucocorticoids (GC) after GC 'bridging' in the initial treatment step and to identify factors that may affect this. METHODS: Data from 7 clinical trial arms (with 1653 patients) that included a GC bridging schedule, previously identified in a systematic literature search, were combined in an individual patient data meta-analysis. Outcomes were GC use (yes/no) at predefined time points (1/3/6/12/18 months after bridging had ended), cumulative GC dose and continuous (≥3 months) GC use after bridging had ended. Age, sex, ACPA status, initial GC dose, duration of bridging schedule, oral versus parenteral GC administration and initial co-treatment were univariably tested with each outcome. RESULTS: The probability of using GC 1 month after bridging therapy had ended was 0.18, decreasing to 0.07 from 6 until 18 months after bridging had ended. The probability of continuous GC use after bridging had ended was 0.18 at 1 year and 0.30 at 2 years of follow-up. In oral GC bridging studies only, the probabilities of later and continuous GC use and the cumulative GC doses were higher compared to the combined analyses with also parenteral GC bridging studies included. A higher initial dose and a longer GC bridging schedule were associated with higher cumulative GC doses and more patients on GC at 18 months after bridging had ended. CONCLUSIONS: Based on these RA clinical trial arms with an initial GC bridging schedule, the probability of subsequent ongoing GC use following bridging is low.

Systematic literature review of observational cohorts and clinical trials into the success rate of glucocorticoid discontinuation after their use as bridging therapy in patients with rheumatoid arthritis.

OBJECTIVE: To investigate the success rate of glucocorticoid (GC) discontinuation during follow-up in observational cohorts and clinical trials using temporary GC as part of initial therapy ('bridging') in newly diagnosed patients with rheumatoid arthritis (RA). METHODS: Systematic literature searches were conducted to identify observational cohorts and clinical trials including patients with RA treated with initial GC bridging therapy, defined as discontinuation of GC within 1 year. Patient percentages still using GC were considered the reverse of successful discontinuation. Random effects meta-analyses were performed stratified by time point. RESULTS: The scoping literature search for observational cohort studies could not identify studies answering the research question. The literature search for clinical trials identified 7160 abstracts, resulting in 10 included studies, with varying type and dose of GC and varying tapering schedules, of which 4 reported sufficient data on GC discontinuation or use after the bridging phase. The pooled proportion of patients who were still or again using GC was 22% (95% CI 8% to 37%, based on four trials) at 12 months and 10% at 24 months (95% CI -1 to 22, based on two trials). Heterogeneity was substantial (I²≥65%). CONCLUSION: The success rate of GC discontinuation after bridging as part of initial treatment of RA has been described in a limited number of studies. Reports on observational cohorts did not answer the research question. In clinical trials, protocolised discontinuation was mostly successful, although 22% of the patients who started GC bridging therapy still or again used GC at 12 months, and 10% at 24 months.

Dissociation in SLE: A part of lupus fog?

INTRODUCTION: Lupus fog is ill-defined. We aimed to study whether lupus fog is the result of dissociation by studying the prevalence of dissociation and dissociative fog in patients with SLE and neuropsychiatric manifestations of inflammatory and non-inflammatory origin. METHODS: Patients visiting the tertiary referral center for neuropsychiatric systemic lupus erythematosus (NPSLE) of the LUMC between 2007-2019 were included. Patients were classified as having neuropsychiatric symptoms of inflammatory or non-inflammatory origin. Dissociation was studied using the Dissociative Experience Scale-II (DES), in which the presence of 28 dissociative symptoms is rated (0-100% of the time), of which one question assesses the presence of a dissociative fog directly. Average scores are calculated and scores ≥ 25 are considered indicative of a dissociative disorder. A score of ≥ 30 on question 28 (dissociative fog) was considered indicative for the presence of a fog. Summary scores in the general adult population range from 4.4 to 14. Multiple regression analysis (MRA) was performed to study the association between inflammatory neuropsychiatric symptoms and dissociation. DES results are presented as median (range) and MRA as B and 95% confidence interval (CI). RESULTS: DES questionnaires were available for 337 patients, of which 69 had an inflammatory NPSLE phenotype (20%). Mean age in the total study population was 43 ± 14 years and the majority was female (87%). The median dissociation score was 7.1 (0-75) and did not differ between patients with neuropsychiatric symptoms of inflammatory or non-inflammatory origin (B: -0.04 (95% CI: -0.17; 0.09)). 35 patients (10%) had a score indicative of a dissociative disorder. The most common type of dissociation was absorption/imagination. 43 patients (13%) reported a dissociative fog. DISCUSSION: In most patients with SLE and neuropsychiatric symptoms, dissociative symptoms are within normal range, regardless of underlying etiology. Dissociative fog is present, but uncommon. Lupus fog is most likely not associated with dissociation.

Fatigue in patients with systemic lupus erythematosus and neuropsychiatric symptoms is associated with anxiety and depression rather than inflammatory disease activity.

INTRODUCTION: We aimed to investigate risk factors for fatigue in patients with systemic lupus erythematosus (SLE) and neuropsychiatric symptoms in order to identify potential interventional strategies. METHODS: Patients visiting the neuropsychiatric SLE (NPSLE) clinic of the Leiden University Medical Center between 2007-2019 were included. In a multidisciplinary consensus meeting, SLE patients were classified as having neuropsychiatric symptoms of inflammatory origin (inflammatory phenotype) or other origin (non-inflammatory phenotype). Fatigue was assessed with the SF-36 vitality domain (VT) since 2007 and the multidimensional fatigue inventory (MFI) and visual analogue scale (VAS) since 2011. Patients with a score on the SF-36 VT ≥1 standard deviation (SD) away from the mean of age-related controls of the general population were classified as fatigued; patients ≥2 SD away were classified as extremely fatigued. Disease activity was measured using the SLE disease activity index-2000. The influence of the presence of an inflammatory phenotype, disease activity and symptoms of depression and anxiety as measured by the hospital anxiety and depression scale (HADS) was analyzed using multiple regression analyses corrected for age, sex and education. RESULTS: 348 out of 371 eligible patients filled in questionnaires and were included in this study . The majority was female (87%) and the mean age was 43 ± 14 years. 72 patients (21%) had neuropsychiatric symptoms of an inflammatory origin. Fatigue was present in 78% of all patients and extreme fatigue was present in 50% of patients with an inflammatory phenotype vs 46% in the non-inflammatory phenotype. Fatigue was similar in patients with an inflammatory phenotype compared to patients with a non-inflammatory phenotype on the SF-36 VT (ß: 0.8 (95% CI -4.8; 6.1) and there was less fatigue in patients with an inflammatory phenotype on the MFI and VAS (ß: -3.7 (95% CI: -6.9; -0.5) and ß: -1.0 (95% CI -1.6; -0.3)). There was no association between disease activity and fatigue, but symptoms of anxiety and depression (HADS) associated strongly with all fatigue measurements. CONCLUSION: This study suggests that intervention strategies to target fatigue in (NP)SLE patients may need to focus on symptoms of anxiety and depression rather than immunosuppressive treatment.

Predictive factors for treatment-related mortality and major adverse events after autologous haematopoietic stem cell transplantation for systemic sclerosis: results of a long-term follow-up multicentre study.

BACKGROUND: Autologous haematopoietic stem cell transplantation (HSCT) improves survival in systemic sclerosis (SSc) with poor prognosis, but is hampered by treatment-related mortality (TRM). OBJECTIVE: To evaluate event-free survival (EFS), TRM, response to treatment, disease progression and patient characteristics associated with events. METHODS: All patients treated with HSCT for SSc in The Netherlands until 2017 (n=92) were included. Data on skin involvement (modified Rodnan skin score (mRSS), pulmonary function (forced vital capacity (FVC) and diffusion capacity of the lungs for carbon monoxide (DLCO)), extent of interstitial lung disease on high-resolution CT using Goh scores and left ventricular ejection fraction (LVEF) were collected at baseline, 1, 2 and 5 years. Occurrence of events, defined as death or major organ failure, were collected until 2019. As control, a comparison between patients treated with cyclophosphamide (CYC) and patients with HSCT who participated in the Autologous Stem Cell Transplantation International Scleroderma (ASTIS) trial was performed. RESULTS: Median follow-up was 4.6 years. EFS estimates at 5, 10 and 15 years were 78%, 76% and 66%, respectively. Twenty deaths occurred. Mean FVC, DLCO, mRSS and Goh scores all improved significantly. Disease progression occurred in 22 patients. Frequency of TRM decreased over time and occurred more often in males. Events were independently associated with male sex, LVEF <50% and older age. In ASTIS, patients treated with HSCT (n=23) 7 events occurred versus 13 in the CYC group (n=22). CONCLUSION: Our data confirm long-term efficacy of HSCT in improving survival, skin and lung involvement in SSc. Male sex, lower LVEF and older age at baseline were identified as risk factors for events.

On the presence of HLA-SE alleles and ACPA-IgG variable domain glycosylation in the phase preceding the development of rheumatoid arthritis.

OBJECTIVE: Anti-citrullinated protein antibodies (ACPA) in rheumatoid arthritis (RA) patients display a unique feature defined by the abundant presence of N-linked glycans within the variable domains (V-domains). Recently, we showed that N-glycosylation sites, which are required for the incorporation of V-domain glycans, are introduced following somatic hypermutation. However, it is currently unclear when V-domain glycosylation occurs. Further, it is unknown which factors might trigger the generation of V-domain glycans and whether such glycans are relevant for the transition towards RA. Here, we determined the presence of ACPA-IgG V-domain glycans in paired samples of pre-symptomatic individuals and RA patients. METHODS: ACPA-IgG V-domain glycosylation was analysed using ultra-high performance liquid chromatography (UHPLC) in paired samples of pre-symptomatic individuals (median interquartile range (IQR) pre-dating time: 5.8 (5.9) years; n=201; 139 ACPA-positive and 62 ACPA-negative) and RA patients (n=99; 94 ACPA-positive and 5 ACPA-negative). RESULTS: V-domain glycans on ACPA-IgG were already present up to 15 years before disease in pre-symptomatic individuals and their abundance increased closer to symptom onset. Noteworthy, human leucocyte antigen class II shared epitope (HLA-SE) alleles associated with the presence of V-domain glycans on ACPA-IgG. CONCLUSION: Our observations indicate that somatic hypermutation of ACPA, which results in the incorporation of N-linked glycosylation sites and consequently V-domain glycans, occurs already years before symptom onset in individuals that will develop RA later in life. Moreover, our findings provide first evidence that HLA-SE alleles associate with ACPA-IgG V-domain glycosylation in the pre-disease phase and thereby further refine the connection between HLA-SE and the development of ACPA-positive RA.

Association of response to TNF inhibitors in rheumatoid arthritis with quantitative trait loci for CD40 and CD39.

OBJECTIVES: We sought to investigate whether genetic effects on response to TNF inhibitors (TNFi) in rheumatoid arthritis (RA) could be localised by considering known genetic susceptibility loci for relevant traits and to evaluate the usefulness of these genetic loci for stratifying drug response. METHODS: We studied the relation of TNFi response, quantified by change in swollen joint counts ( Δ SJC) and erythrocyte sedimentation rate ( Δ ESR) with locus-specific scores constructed from genome-wide assocation study summary statistics in 2938 genotyped individuals: 37 scores for RA; scores for 19 immune cell traits; scores for expression or methylation of 93 genes with previously reported associations between transcript level and drug response. Multivariate associations were evaluated in penalised regression models by cross-validation. RESULTS: We detected a statistically significant association between Δ SJC and the RA score at the CD40 locus (p=0.0004) and an inverse association between Δ SJC and the score for expression of CD39 on CD4 T cells (p=0.00005). A previously reported association between CD39 expression on regulatory T cells and response to methotrexate was in the opposite direction. In stratified analysis by concomitant methotrexate treatment, the inverse association was stronger in the combination therapy group and dissipated in the TNFi monotherapy group. Overall, ability to predict TNFi response from genotypic scores was limited, with models explaining less than 1% of phenotypic variance. CONCLUSIONS: The association with the CD39 trait is difficult to interpret because patients with RA are often prescribed TNFi after failing to respond to methotrexate. The CD39 and CD40 pathways could be relevant for targeting drug therapy.

Differences in the symptomatic phase preceding ACPA-positive and ACPA-negative RA: a longitudinal study in arthralgia during progression to clinical arthritis.

OBJECTIVE: Although anticitrullinated protein antibody (ACPA)-positive and ACPA-negative rheumatoid arthritis (RA) have different aetiopathology, the clinical presentation at the time of diagnosis is similar. This study evaluated whether there are phenotypic differences in the symptomatic pre-RA phase. METHODS: Patients with arthralgia included in the Leiden clinically suspect arthralgia cohort who developed arthritis during follow-up were studied (n=67). Symptoms at symptom onset, symptoms and signs at presentation with arthralgia and time to arthritis development were compared between ACPA-positive and ACPA-negative patients. RESULTS: In ACPA-negative patients (n=37), the location of initial symptoms less often included the lower extremities (22% vs 50%, p=0.014). At presentation with arthralgia, ACPA-positive patients had a longer symptom duration (median 22 vs 14 weeks, p=0.005), less tender joints (mean 5 vs 9, p=0.007) and less difficulty making a fist (11% vs 43%, p=0.004). However, after presentation with arthralgia, ACPA-positive patients developed arthritis more quickly (median 6 vs 18 weeks, p=0.015). A partial least squares regression analysis showed clustering of ACPA-positive and ACPA-negative patients based on the above-mentioned clinical variables. CONCLUSION: This study is the first showing that ACPA-positive and ACPA-negative patients have clinical differences in the symptomatic phase preceding clinical arthritis. This contributes to the notion that ACPA-positive and ACPA-negative RA develop differently.

Predicting the severity of joint damage in rheumatoid arthritis; the contribution of genetic factors.

BACKGROUND: The severity of radiologic progression is variable between rheumatoid arthritis (RA) patients. Recently, several genetic severity variants have been identified and were replicated, these belong to 12 loci. This study determined the contribution of the identified genetic factors to the explained variance in radiologic progression and whether genetic factors, in addition to traditional risk factors, improve the accuracy of predicting the severity of radiologic progression. METHODS: 426 early RA patients with yearly radiologic follow-up were studied. The main outcome measure was the progression in Sharp-van der Heijde score (SHS) over 6 years, assessed as continuous outcome or categorised in no/little, moderate or severe progression. Assessed were improved fit of a linear mixed model analysis on serial radiographs, R(2) using linear regression analyses, C-statistic and the net proportion of patients that was additionally correctly classified when adding genetic risk factors to a model consisting of traditional risk factors. RESULTS: The genetic factors together explained 12-18%. When added to a model including traditional factors and treatment effects, the genetic factors additionally explained 3-7% of the variance (p value R(2)change=0.056). The percentage of patients that was correctly classified increased from 56% to 62%; the net proportion of correct reclassifications 6% (95% CI 3 to 10%). The C-statistic increased from 0.78 to 0.82. Sensitivity analyses using imputation of missing radiographs yielded comparable results. CONCLUSIONS: Genetic risk factors together explained 12-18% of the variance in radiologic progression. Adding genetic factors improved the predictive accuracy, but 38% of the patients were still incorrectly classified, limiting the value for use in clinical practice.

Assessment of Global Disease Activity in Rheumatoid Arthritis by Patients and Physicians: Differences Across Countries in the METEOR Database.

AIM: The aim of the study was to compare the differences between patient global disease activity (PtGDA) and physician global disease activity (PhGDA) score within and across 13 countries in the METEOR (Measurement of Efficacy of Treatment in the "Era of Outcome" in Rheumatology) database. METHODS: Data from METEOR were used to compare PtGDA and PhGDA, scored independently on a 100-mm visual analog scale from 0 (best possible) until 100 (worst possible), in 23,117 visits in 5709 anonymized patients during the period between 2008 and 2012. Linear mixed models were used to model mean differences between PtGDA and PhGDA in 13 countries (Brazil, Czech Republic, France, Ireland, Italy, Latvia, Mexico, the Netherlands, Pakistan, Portugal, Spain, United Kingdom, and the United States), adjusted for differences in Disease Activity Score in 28 joints (DAS28). Generalized estimating equations were used to model differences (>20 mm) between PtGDA and PhGDA score as the outcome and countries as determinants, adjusted for DAS28. RESULTS: Mean difference between PtGDA and PhGDA scores varied by country, from -2 mm (physician scores higher) in Mexico to +14 mm (patient scores higher) in Brazil. "Country" was a significant determinant of the difference between PtGDA and PhGDA scores, independent of differences in DAS28. With the Netherlands as reference, PtGDA and PhGDA scores for individual patients differ significantly in almost all (n = 10) countries, with the exception of France and Spain. CONCLUSIONS: Differences between patients' and physicians' assessment of GDA vary across the countries. Influence of country must be taken into account when interpreting discordances between the patient's and the physician's assessment of GDA in rheumatoid arthritis.