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Objective To investigate real-world retention and remission rates in PsA patients initiating a 2nd or 3rd TNFi and the association with reason for discontinuation from the previous TNFi-treatment. Methods Prospectively collected routine care data from 12 European registries were pooled. Retention rates (Kaplan-Meier estimation) and crude/LUNDEX-adjusted rates of Disease Activity Score 28 and Disease Activity index for PSoriatic Arthritis (DAS28 and DAPSA28) remission were calculated and compared with adjusted Cox regression analyses and Chi-squared test, respectively). Results We included 5233 (2nd TNFi) and 1906 (3rd TNFi) patients. Twelve-month retention rates for the 2nd and 3rd TNFi were 68% (95%CI: 67–70%) and 66% (64–68%), respectively. Patients who stopped the previous TNFi due to AE/LOE had 12-month retention rates of 66%/65% (2nd TNFi), and 65%/63% (3rd TNFi), respectively. Patients who stopped the previous TNFi due to LOE after less vs more than 24 weeks had 12-month retention rates of 54%/69% (2nd TNFi), and 58%/65% (3rd TNFi). Six-month crude/LUNDEX-adjusted DAS28 remission rates were 48%/35% and 38%/27%, and DAPSA28 remission rates were 19%/14% and 14%/10%, for the 2nd and 3rd TNFi. Conclusion Two-thirds of patients remained on TNFi at 12 months for both the 2nd and 3rd TNFi, while one-third and one-quarter of patients were in DAS28 remission after 6 months on the 2nd and 3rd TNFi. While drug effectiveness was similar in patients who stopped the previous TNFi due to AE compared to overall LOE, drug effectiveness was better in patients who had stopped the previous TNF due to secondary LOE compared to primary LOE., Objective: To investigate real-world retention and remission rates in PsA patients initiating a 2nd or 3rd TNFi and the association with reason for discontinuation from the previous TNFi-treatment. Methods: Prospectively collected routine care data from 12 European registries were pooled. Retention rates (Kaplan-Meier estimation) and crude/LUNDEX-adjusted rates of Disease Activity Score 28 and Disease Activity index for PSoriatic Arthritis (DAS28 and DAPSA28) remission were calculated and compared with adjusted Cox regression analyses and Chi-squared test, respectively). Results: We included 5233 (2nd TNFi) and 1906 (3rd TNFi) patients. Twelve-month retention rates for the 2nd and 3rd TNFi were 68% (95%CI: 67–70%) and 66% (64–68%), respectively. Patients who stopped the previous TNFi due to AE/LOE had 12-month retention rates of 66%/65% (2nd TNFi), and 65%/63% (3rd TNFi), respectively. Patients who stopped the previous TNFi due to LOE after less vs more than 24 weeks had 12-month retention rates of 54%/69% (2nd TNFi), and 58%/65% (3rd TNFi). Six-month crude/LUNDEX-adjusted DAS28 remission rates were 48%/35% and 38%/27%, and DAPSA28 remission rates were 19%/14% and 14%/10%, for the 2nd and 3rd TNFi. Conclusion: Two-thirds of patients remained on TNFi at 12 months for both the 2nd and 3rd TNFi, while one-third and one-quarter of patients were in DAS28 remission after 6 months on the 2nd and 3rd TNFi. While drug effectiveness was similar in patients who stopped the previous TNFi due to AE compared to overall LOE, drug effectiveness was better in patients who had stopped the previous TNF due to secondary LOE compared to primary LOE.

Objective To evaluate and compare the use of oral glucocorticoids with three classes of bDMARDs in patients with rheumatoid arthritis (RA). Methods We included patients from 13 observational registries treated with a TNF-inhibitor, abatacept or tocilizumab and with available information on the use of oral glucocorticoids. The main outcome was oral glucocorticoid withdrawal. A McNemar test was used to analyse the change in the use of glucocorticoids after 1 year. Kaplan-Meier estimates and Cox regressions, adjusted for patient, treatment, and disease characteristics, were used to evaluate glucocorticoid discontinuation in patients with glucocorticoids at baseline. Because of heterogeneity, analyses were done by registers and pooled using random-effects meta-analysis. Results A total of 12,334 participants treated with TNF-inhibitors, 2100 with tocilizumab and 3229 with abatacept were included. At one-year, oral glucocorticoid use decreased in all treatment groups (odds ratio for stopping vs. starting of 2.19 [95% CI 1.58; 3.04] for TNF-inhibitors, 2.46 [1.39; 4.35] for tocilizumab; 1.73 [1.25; 2.21] for abatacept). Median time to glucocorticoid withdrawal was ≈2 years or more in most countries, with a gradual decrease over time. Compared to TNF-inhibitors, crude hazard ratios of glucocorticoid discontinuation were 0.65[0.48–0.87] for abatacept, and 1.04 [0.76–1.43] for tocilizumab, and adjusted hazard ratios were 1.1 [0.83–1.47] for abatacept, and 1.30 [0.96–1.78] for tocilizumab. Conclusion After initiation of a bDMARD, glucocorticoid use decreased similarly in all treatment groups. However, glucocorticoid withdrawal was much slower than advocated by current international guidelines. More effort should be devoted to glucocorticoid tapering when low disease activity is achieved., Objective: To evaluate and compare the use of oral glucocorticoids with three classes of bDMARDs in patients with rheumatoid arthritis (RA). Methods: We included patients from 13 observational registries treated with a TNF-inhibitor, abatacept or tocilizumab and with available information on the use of oral glucocorticoids. The main outcome was oral glucocorticoid withdrawal. A McNemar test was used to analyse the change in the use of glucocorticoids after 1 year. Kaplan-Meier estimates and Cox regressions, adjusted for patient, treatment, and disease characteristics, were used to evaluate glucocorticoid discontinuation in patients with glucocorticoids at baseline. Because of heterogeneity, analyses were done by registers and pooled using random-effects meta-analysis. Results: A total of 12,334 participants treated with TNF-inhibitors, 2100 with tocilizumab and 3229 with abatacept were included. At one-year, oral glucocorticoid use decreased in all treatment groups (odds ratio for stopping vs. starting of 2.19 [95% CI 1.58; 3.04] for TNF-inhibitors, 2.46 [1.39; 4.35] for tocilizumab; 1.73 [1.25; 2.21] for abatacept). Median time to glucocorticoid withdrawal was ≈2 years or more in most countries, with a gradual decrease over time. Compared to TNF-inhibitors, crude hazard ratios of glucocorticoid discontinuation were 0.65[0.48–0.87] for abatacept, and 1.04 [0.76–1.43] for tocilizumab, and adjusted hazard ratios were 1.1 [0.83–1.47] for abatacept, and 1.30 [0.96–1.78] for tocilizumab. Conclusion: After initiation of a bDMARD, glucocorticoid use decreased similarly in all treatment groups. However, glucocorticoid withdrawal was much slower than advocated by current international guidelines. More effort should be devoted to glucocorticoid tapering when low disease activity is achieved.

BACKGROUND: In European axial spondyloarthritis (axSpA) and psoriatic arthritis (PsA) clinical registries, we aimed to investigate commonalities and differences in (1) set-up, clinical data collection; (2) data availability and completeness; and (3) wording, recall period, and scale used for selected patient-reported outcome measures (PROMs). METHODS: Data was obtained as part of the EuroSpA Research Collaboration Network and consisted of (1) an online survey and follow-up interview, (2) upload of real-world data, and (3) selected PROMs included in the online survey. RESULTS: Fifteen registries participated, contributing 33,948 patients (axSpA: 21,330 (63%), PsA: 12,618 (37%)). The reported coverage of eligible patients ranged from 0.5 to 100%. Information on age, sex, biological/targeted synthetic disease-modifying anti-rheumatic drug treatment, disease duration, and C-reactive protein was available in all registries with data completeness between 85% and 100%. All PROMs (Bath Ankylosing Spondylitis Disease Activity and Functional Indices, Health Assessment Questionnaire, and patient global, pain and fatigue assessments) were more complete after 2015 (68-86%) compared to prior (50-79%). Patient global, pain and fatigue assessments showed heterogeneity between registries in terms of wording, recall periods, and scale. CONCLUSION: Important heterogeneity in registry design and data collection across fifteen European axSpA and PsA registries was observed. Several core measures were widely available, and an increase in data completeness of PROMs in recent years was identified. This study might serve as a basis for examining how differences in data collection across registries may impact the results of collaborative research in the future.

Objectives The positioning of secukinumab in the treatment of axial SpA (axSpA) and PsA is debated, partly due to a limited understanding of the comparative safety of the available treatments. We aimed to assess the risk of the key safety outcome infections during treatment with secukinumab and TNF inhibitors (TNFi). Methods Patients with SpA and PsA starting secukinumab or TNFi year 2015 through 2018 were identified in four Nordic rheumatology registers. The first hospitalized infection during the first year of treatment was identified through linkage to national registers. Incidence rates (IRs) with 95% CIs per 100 patient-years were calculated. Adjusted hazard ratios were estimated through Cox regression, with secukinumab as the reference. Several sensitivity analyses were performed to investigate confounding by indication. Results Among 7708 patients with SpA and 5760 patients with PsA, we identified 16 229 treatment courses of TNFi (53% bionaïve) and 1948 with secukinumab (11% bionaïve). For secukinumab, the first-year risk of hospitalized infection was 3.5% (IR 5.0; 3.9–6.3), compared with 1.7% (IR 2.3; 1.7–3.0) during 3201 courses with adalimumab, with the IRs for other TNFi lying in between these values. The adjusted HR for adalimumab, compared with secukinumab, was 0.58 (0.39–0.85). In sensitivity analyses, the difference from secukinumab was somewhat attenuated and in some analyses no longer statistically significant. Conclusion When used according to clinical practice in the Nordic countries, the observed first-year absolute risk of hospitalized infection was doubled for secukinumab compared with adalimumab. This excess risk seemed largely explained by confounding by indication., Objectives. The positioning of secukinumab in the treatment of axial SpA (axSpA) and PsA is debated, partly due to a limited understanding of the comparative safety of the available treatments. We aimed to assess the risk of the key safety outcome infections during treatment with secukinumab and TNF inhibitors (TNFi). Methods. Patients with SpA and PsA starting secukinumab or TNFi year 2015 through 2018 were identified in four Nordic rheumatology registers. The first hospitalized infection during the first year of treatment was identified through linkage to national registers. Incidence rates (IRs) with 95% CIs per 100 patient-years were calculated. Adjusted hazard ratios were estimated through Cox regression, with secukinumab as the reference. Several sensitivity analyses were performed to investigate confounding by indication. Results. Among 7708 patients with SpA and 5760 patients with PsA, we identified 16 229 treatment courses of TNFi (53% bionaïve) and 1948 with secukinumab (11% bionaïve). For secukinumab, the first-year risk of hospitalized infection was 3.5% (IR 5.0; 3.9–6.3), compared with 1.7% (IR 2.3; 1.7–3.0) during 3201 courses with adalimumab, with the IRs for other TNFi lying in between these values. The adjusted HR for adalimumab, compared with secukinumab, was 0.58 (0.39–0.85). In sensitivity analyses, the difference from secukinumab was somewhat attenuated and in some analyses no longer statistically significant. Conclusion. When used according to clinical practice in the Nordic countries, the observed first-year absolute risk of hospitalized infection was doubled for secukinumab compared with adalimumab. This excess risk seemed largely explained by confounding by indication.

[EN] OBJECTIVES: To explore the frequency and predictors of flares over 2years during a treat-to-target strategy with urate-lowering therapy (ULT) in patients with gout. METHODS: In the treat-to-target, tight control NOR-Gout study patients started ULT with escalating doses of allopurinol. Flares were recorded over 2years. Baseline predictors of flares during months 9-12 in year 1 and during year 2 were analyzed by multivariable logistic regression. RESULTS: Of 211 patients included (mean age 56.4years, disease duration 7.8years, 95% males), 81% (150/186) of patients experienced at least one gout flare during the first year and 26% (45/173) during the second year. The highest frequency of flares in the first year was seen during months 3-6 (46.8% of patients). Baseline crystal depositions detected by ultrasound and by dual-energy computed tomography (DECT) were the only variables which predicted flares both during the first period of interest at months 9-12 (OR 1.033; 95% CI 1.010-1.057, and OR 1.056; 95% CI 1.007-1.108) and also in year 2. Baseline subcutaneous tophi (OR 2.42, 95% CI 1.50-5.59) and prior use of colchicine at baseline (OR 2.48, 95% CI 1.28-4.79) were independent predictors of flares during months 9-12, whereas self-efficacy for pain was a protective predictor (OR 0.98 per unit, 95% CI 0.964-0.996). CONCLUSIONS: In patients with gout, flares remain frequent during the first year of a treat-to-target ULT strategy, especially during months 3-6, but are much less frequent during year 2. Baseline crystal depositions predict flares over 2years, supporting ULT early during disease course.

Objectives To find causal genes for rheumatoid arthritis (RA) and its seropositive (RF and/or ACPA positive) and seronegative subsets. Methods We performed a genome-wide association study (GWAS) of 31 313 RA cases (68% seropositive) and similar to 1 million controls from Northwestern Europe. We searched for causal genes outside the HLA-locus through effect on coding, mRNA expression in several tissues and/or levels of plasma proteins (SomaScan) and did network analysis (Qiagen). Results We found 25 sequence variants for RA overall, 33 for seropositive and 2 for seronegative RA, altogether 37 sequence variants at 34 non-HLA loci, of which 15 are novel. Genomic, transcriptomic and proteomic analysis of these yielded 25 causal genes in seropositive RA and additional two overall. Most encode proteins in the network of interferon-alpha/beta and IL-12/23 that signal through the JAK/STAT-pathway. Highlighting those with largest effect on seropositive RA, a rare missense variant in STAT4 (rs140675301-A) that is independent of reported non-coding STAT4-variants, increases the risk of seropositive RA 2.27-fold (p=2.1x10(-9)), more than the rs2476601-A missense variant in PTPN22 (OR=1.59, p=1.3x10(-160)). STAT4 rs140675301-A replaces hydrophilic glutamic acid with hydrophobic valine (Glu128Val) in a conserved, surface-exposed loop. A stop-mutation (rs76428106-C) in FLT3 increases seropositive RA risk (OR=1.35, p=6.6x10(-11)). Independent missense variants in TYK2 (rs34536443-C, rs12720356-C, rs35018800-A, latter two novel) associate with decreased risk of seropositive RA (ORs=0.63-0.87, p=10(-9)-10(-27)) and decreased plasma levels of interferon-alpha/beta receptor 1 that signals through TYK2/JAK1/STAT4. Conclusion Sequence variants pointing to causal genes in the JAK/STAT pathway have largest effect on seropositive RA, while associations with seronegative RA remain scarce., Funding Agencies|NORDFORSK [90825]; Swedish Research Council [2018-02803]; Swedish innovation Agency (Vinnova); Innovationsfonden; The Research Council of Norway; Region Stockholm-Karolinska Institutet; Region Vasterbotten (ALF); Danish Rheumatism Association [R194-A6956, A1923, A3037, A3570]; Swedish Brain Foundation; Nils and Bibbi Jensens Foundation; Knut and Alice Wallenberg Foundation; Margaretha af Ugglas Foundation; South-Eastern Heath Region of Norway; Health Research Fund of Central Denmark Region; Region of Southern Denmark; A.P. Moller Foundation for the Advancement of Medical Science; Colitis-Crohn Foreningen; Novo Nordisk Foundation [NNF15OC0016932]; Aase og Ejnar Danielsens Fond; Beckett-Fonden; Augustinus Fonden; Knud and Edith Eriksens Mindefond; Laege Sofus Carl Emil Friis and Hustru Olga Doris Friis Legat; Psoriasis Forskningsfonden; University of Aarhus; Region of Southern Denmarks PhD Fund [12/7725]; Department of Rheumatology, Frederiksberg Hospital; Research Council of Norway [229624, 223273]; South East and Western Norway Health Authorities; ERC AdG project SELECTionPREDISPOSED; Stiftelsen Kristian Gerhard Jebsen; Trond Mohn Foundation; Novo Nordisk Foundation; University of Bergen

Background Gout is of unknown reason associated with cardiovascular disease. Ultrasound is sensitive for detecting crystal deposition and plasma calprotectin is a sensitive inflammatory marker. This study explores the associations between crystal deposition, inflammation and carotid artery pathology. Method A cross-sectional analysis of baseline assessments from the NOR-Gout study was undertaken. Crystal deposition was assessed by ultrasound (double contour, tophi, aggregates) and dual-energy CT (DECT) and laboratory assessments included plasma calprotectin. The carotid arteries were bilaterally examined for carotid intima-media thickness (cIMT) and presence of plaques. Spearman correlations, Mann-Whitney tests and linear regression analyses were used to explore associations between crystal deposition, inflammatory markers,and carotid pathology. Results 202 patients with intercritical gout (95.5% men, mean (SD) age 56.5 (13.8) years, disease duration 7.9 (7.7) years) were included. Calprotectin was correlated with all scores of crystal deposition by ultrasound (r=0.26-0.32, p<0.001) and DECT (r=0.15, p<0.05). cIMT was correlated with sum score aggregates (r=0.18-0.22, p<0.05). Patients with large tophi had higher levels of calprotectin as well as more frequent carotid plaque (p<0.05). Conclusions Study findings point towards crystal deposition contributing to subclinical inflammation with subsequent vascular implications. However, future longitudinal studies are needed to confirm such causal relationships.

A gout attack may evolve after a purine-rich diet or alcohol and after starting urate-lowering therapy (ULT). The relationships between fluctuation and change in serum urate (SU) with the occurrence of flares were investigated in this study. In the prospective NOR-Gout study, gout patients with increased SU and a recent flare were treated to target with ULT over 1 year, with follow-up at year 2 with SU and flare as outcomes. SU and flares were assessed at both monthly and 3-monthly intervals until target SU was reached. Fluctuation over periods and changes in SU between two time points were assessed and compared in patients with and without flares. At year 1, 186 patients completed follow-up (88.2%) and 173 (82.0%) at year 2. Mean age (SD) at baseline was 56.4 (13.7) years, disease duration was 7.8 (7.6) years, and 95.3% were men. The first-year SU fluctuation and change were related to flare occurrence during year 1 (both p < 0.05). High fluctuation with an absolute sum of all SU changes during the first 9 months was related to flares over 3-month periods (all p < 0.05), and high fluctuation during the first 3 months was related to flares in months 3-6 (p = 0.04). Monthly and high SU changes or again reaching higher SU levels > 360 mu mol/l were not related to flares. Fluctuation and change in SU were related to flare occurrence during the first year of ULT, while changes between visits and reaching SU levels > 360 mu mol/L were not related to flares.

Objective: To investigate the longer-term effects of secukinumab 150 mg on fatigue in patients with ankylosing spondylitis (AS) in the MEASURE 1 study (up to 3 years) and the MEASURE 2 study (up to 2 years). Methods: Patients with active AS were randomized to secukinumab or placebo in MEASURE 1 (10 mg/kg intravenous [IV] followed by 150 mg subcutaneous) and MEASURE 2 (150 mg subcutaneous). Patients were naive to treatment with anti–tumor necrosis factor (anti-TNF-naive) therapy or had an inadequate response/intolerance to anti-TNF therapy (anti-TNF-IR). Fatigue was measured using the Functional Assessment of Chronic Illness Therapy–Fatigue (FACIT-F) scale. Relationships between fatigue response and baseline characteristics and clinical/laboratory variables were explored. Results: Significant improvements in FACIT-F scores from baseline were observed with secukinumab across both studies versus placebo at week 16 (P < 0.05). Improvements were sustained through week 156 (MEASURE 1) and week 104 (MEASURE 2). Significantly more patients reported fatigue responses (FACIT-F improvement ≥4; observed data) with secukinumab 150 mg than with placebo at week 16 in both MEASURE 1 (P < 0.05) and MEASURE 2 (P < 0.01). Fatigue responses were achieved by 75.6% of patients receiving secukinumab at week 156 (MEASURE 1) and 81.4% at week 104 (MEASURE 2); these results were consistent in patients who were anti-TNF-naive (74.3% and 84.6%, respectively) and anti-TNF-IR (81.3% and 75.0%, respectively). Baseline characteristics did not predict improvement in fatigue consistently. Fatigue responses were moderately to strongly correlated with responses in several clinical measures, including the Assessment of SpondyloArthritis international Society (ASAS) 20%/40% improvement, ASAS5/6 responses, the Ankylosing Spondylitis Disease Activity Score with C-reactive protein level, the Bath Ankylosing Spondylitis Disease Activity Index, and the Short Form 36 health questionnaire scores. C