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To evaluate pregnancy outcomes in relation to antirheumatic treatment before and during pregnancy, as a proxy of disease severity in pregnant women with psoriatic arthritis (PsA), compared to those without PsA.Our study focused on a Swedish nationwide registry-based cohort study that included 921 PsA pregnancies and 9,210 non-PsA pregnancies occurring between 2007 and 2017 (matched 1:10 based on maternal age, year of delivery, and parity). We estimated adjusted odds ratios (ORs) overall, with 95% confidence intervals (95% CIs), and stratified by presence, timing, and type of antirheumatic treatment. Adjustments were made for maternal body mass index, smoking, education level, and country of birth. The outcome of preterm birth was also stratified by parity.Pregnant women with PsA versus those without PsA were more obese, more often smokers, and more frequently had a diagnosis of pregestational hypertension and diabetes mellitus. Increased risks in PsA pregnancies versus non-PsA pregnancies were primarily preterm birth (adjusted OR 1.69 [95% CI 1.27-2.24]) and cesarean delivery (adjusted OR 1.77 [95% CI 1.43-2.20] for elective delivery, and adjusted OR 1.42 [95% CI 1.10-1.84] for emergency delivery). The risks differed according to the presence, timing, and type of antirheumatic treatment, with the most increased risk in PsA pregnancies (versus non-PsA) occurring with antirheumatic treatment during pregnancy (adjusted OR 2.30 [95% CI 1.49-3.56] for preterm birth). The corresponding adjusted OR for preterm birth in women with PsA who were exposed specifically to biologic treatment during pregnancy was 4.49 [95% CI 2.60-7.79]. Risk of preterm birth was primarily increased in first pregnancies.Compared to non-PsA pregnancies, risks of preterm birth and cesarean delivery were mostly increased in those exposed to antirheumatic treatment during pregnancy, especially biologic treatments. As parity influences the risk of preterm birth in women with PsA, special attention to first pregnancies is warranted. Women with PsA should receive individualized monitoring during pregnancy.

Objective: To compare incidences of neuroinflammatory events, including demyelinating disease (DML), inflammatory polyneuropathies (IPN) and multiple sclerosis (MS), in patients with rheumatoid arthritis (RA) or spondyloarthritis (SpA; including psoriatic arthritis) starting a tumour necrosis factor inhibitor (TNFi), investigating whether monoclonal TNFi antibodies (other TNFis (oTNFis)) confer higher risk than etanercept.Methods: This is an observational cohort study including patients from the five Nordic countries starting a TNFi in 2001-2020. Time to first neuroinflammatory event was identified through register linkages. We calculated crude incidence rates (cIR) per 1000 person-years and used multivariable-adjusted Cox regression to compare incidences of neuroinflammatory events overall and for DML, IPN and MS with oTNFi versus etanercept. We further examined individual TNFis and indications.Results: 33 883 patients with RA and 28 772 patients with SpA were included, initiating 52 704 and 46 572 treatment courses, respectively. In RA, we observed 135 neuroinflammatory events (65% DML) with cIR of 0.38 with oTNFi and 0.34 with etanercept. The HR of oTNFi versus etanercept was 1.07 (95% CI 0.74 to 1.54) for any neuroinflammatory event, 0.79 (95% CI 0.51 to 1.22) for DML, 2.20 (95% CI 1.05 to 4.63) for IPN and 0.73 (95% CI 0.34 to 1.56) for MS. In SpA, we observed 179 events (78% DML) with cIR of 0.68 with oTNFi and 0.65 with etanercept. The HR for any neuroinflammatory event, DML, IPN and MS was 1.06 (95% CI 0.75 to 1.50), 1.01 (95% CI 0.68 to 1.50), 1.28 (95% CI 0.61 to 2.69) and 0.94 (95% CI0.53 to 1.69), respectively.Conclusion: The cIRs of neuroinflammatory events are higher in SpA than in RA, but the choice of specific TNFi does not seem to play an important role in the risk of neuroinflammatory events. Objective To compare incidences of neuroinflammatory events, including demyelinating disease (DML), inflammatory polyneuropathies (IPN) and multiple sclerosis (MS), in patients with rheumatoid arthritis (RA) or spondyloarthritis (SpA; including psoriatic arthritis) starting a tumour necrosis factor inhibitor (TNFi), investigating whether monoclonal TNFi antibodies (other TNFis (oTNFis)) confer higher risk than etanercept. Methods This is an observational cohort study including patients from the five Nordic countries starting a TNFi in 2001-2020. Time to first neuroinflammatory event was identified through register linkages. We calculated crude incidence rates (cIR) per 1000 person-years and used multivariable-adjusted Cox regression to compare incidences of neuroinflammatory events overall and for DML, IPN and MS with oTNFi versus etanercept. We further examined individual TNFis and indications. Results 33 883 patients with RA and 28 772 patients with SpA were included, initiating 52 704 and 46 572 treatment courses, respectively. In RA, we observed 135 neuroinflammatory events (65% DML) with cIR of 0.38 with oTNFi and 0.34 with etanercept. The HR of oTNFi versus etanercept was 1.07 (95% CI 0.74 to 1.54) for any neuroinflammatory event, 0.79 (95% CI 0.51 to 1.22) for DML, 2.20 (95% CI 1.05 to 4.63) for IPN and 0.73 (95% CI 0.34 to 1.56) for MS. In SpA, we observed 179 events (78% DML) with cIR of 0.68 with oTNFi and 0.65 with etanercept. The HR for any neuroinflammatory event, DML, IPN and MS was 1.06 (95% CI 0.75 to 1.50), 1.01 (95% CI 0.68 to 1.50), 1.28 (95% CI 0.61 to 2.69) and 0.94 (95% CI0.53 to 1.69), respectively. Conclusion The cIRs of neuroinflammatory events are higher in SpA than in RA, but the choice of specific TNFi does not seem to play an important role in the risk of neuroinflammatory events.

ObjectivesTo evaluate the risk of haematological malignancies in patients with psoriatic arthritis (PsA) overall, and in relation to treatment with tumour necrosis factor inhibitors (TNFi).MethodsWe identified that patients with PsA starting a first TNFi from the clinical rheumatology registers (CRR) in the five Nordic countries (n=10 621) and biologics-naïve PsA patients from (1) the CRR (n=18 705) and (2) the national patient registers (NPR, n=27 286, Sweden and Denmark) from 2006 through 2019. For Sweden and Denmark, general population comparators were matched 5:1 to PsA patients on birth year, year at start of follow-up and sex. By linkage to the national cancer registers in all countries, we collected information on haematological malignancies overall, and categorised into lymphoid or myeloid types. We estimated incidence rate ratios (IRRs) with 95% CIs using modified Poisson regression for TNFi-treated versus biologics-naïve PsA patients and versus the general population adjusted for age, sex, calendar period and country.ResultsDuring 59 827 person-years, 40 haematological malignancies occurred among TNFi-treated patients with PsA resulting in a pooled IRR of 0.96 (0.68–1.35) versus biologics-naïve PsA from CRR and an IRR of 0.84 (0.64–1.10) versus biologics-naïve PsA from NPR. The IRR of haematological malignancies in PsA overall versus general population comparators was 1.35 (1.17–1.55). The estimates were largely similar for lymphoid and myeloid malignancies.ConclusionsTreatment with TNFi in patients with PsA was not associated with an increased incidence of haematological malignancies. Conversely, a moderately increased underlying risk was seen in patients with PsA compared with the general population.

ObjectivesThe magnitude of the genetic contribution to idiopathic inflammatory myopathies (IIMs) is unknown. In this project, we aimed to investigate the familial aggregation and heritability of IIM.MethodsThis is a family-based study using nationwide healthcare register data in Sweden. We matched each patient with IIM to individuals without IIM, identified their first-degree relatives and determined the IIM status among all first-degree relatives. We estimated the adjusted ORs (aORs) of familial aggregation of IIM using conditional logistic regression. In addition, we used tetrachoric correlation to estimate the heritability of IIM.ResultsWe included 7615 first-degree relatives of 1620 patients with IIM diagnosed between 1997 and 2016 and 37 309 first-degree relatives of 7797 individuals without IIM. Compared with individuals without IIM, patients with IIM were more likely to have ≥1 first-degree relative affected by IIM (aOR=4.32, 95% CI 2.00 to 9.34). Furthermore, the aOR of familial aggregation of IIM in full siblings was 2.53 (95% CI 1.62 to 3.96). The heritability of IIM was 22% (95% CI 12% to 31%) among any first-degree relatives and 24% (95% CI 12% to 37%) among full siblings.ConclusionsIIM has a familial component with a risk of aggregation among first-degree relatives and a heritability of about 20%. This information is of importance for future aetiological studies and in clinical counselling.

ObjectiveAssess cancer risks with Janus kinase inhibitors (JAKi) versus biological disease-modifying antirheumatic drugs (bDMARDs) in clinical practice.MethodsCohort study of patients with rheumatoid arthritis (RA) or psoriatic arthritis (PsA) initiating treatment with JAKi, tumour necrosis factor inhibitors (TNFi) or other (non-TNFi) bDMARDs 2016–2020 using prospectively collected data from the Swedish Rheumatology Quality Register linked to other registers including the Cancer Register. We estimated incidence rates, and HRs via Cox regression, for all cancers excluding non-melanoma skin cancer (NMSC), and for individual cancer types including NMSC.ResultsWe identified 10 447 patients with RA and 4443 patients with PsA who initiated treatment with JAKi, a non-TNFi bDMARD or a TNFi. Median follow-up times in RA were 1.95, 2.83 and 2.49 years, respectively. In RA, based on 38 incident cancers other than NMSC with JAKi vs 213 with TNFi the overall HR was 0.94 (95% CI 0.65 to 1.38). Based on 59 vs 189 incident NMSC, the HR was 1.39 (95% CI 1.01 to 1.91). At 2 or more years since treatment start, the HR for NMSC was 2.12 (95% CI 1.15 to 3.89). In PsA, based on 5 vs 73 incident cancers other than NMSC, and 8 vs 73 incident NMSC, the corresponding HRs were 1.9 (95% CI 0.7 to 5.2) and 2.1 (95% CI 0.8 to 5.3).ConclusionIn clinical practice, the short-term risk of cancer other than NMSC in individuals initiating treatment with JAKi is not higher than for TNFi, but we found evidence of increased risk for NMSC.

ObjectiveTo explore the risk of pre-eclampsia in rheumatoid arthritis (RA), axial spondyloarthritis (AxSpA) and psoriatic arthritis (PsA), focusing on the impact of treatment and disease activity.MethodsWe identified RA, AxSpA and PsA singleton pregnancies (2006–2018) by linking medical birth registers to Swedish (SRQ) and Danish (DANBIO) rheumatology registers. Control pregnancies from the medical birth registers were matched 1:10 on maternal age, parity and birth year.We obtained information on antirheumatic treatment before and during pregnancy and disease activity during pregnancy. Risks of pre-eclampsia in RA, AxSpA and PsA pregnancies, compared with control pregnancies, were estimated overall and by antirheumatic treatment (conventional synthetic disease-modifying antirheumatic drug (DMARD)/biological DMARD/corticosteroids, as monotherapy or combination therapy) and disease load (Health Assessment Questionnaire≥1/C-reactive protein≥10/Disease Activity Score in 28 joints≥3.2) through logistic regression (adjusted ORs (aORs) with 95% CI).ResultsWe observed 69, 34, and 26 pre-eclampsia events among RA (n=1739), AxSpA (n=819) and PsA (n=489), resulting in a risk of pre-eclampsia of, respectively, aOR 1.27 (95% CI 0.96 to 1.67), 1.17 (0.76 to 1.78) and 1.85 (1.10 to 3.12), compared with controls.For RA, maternal combination therapy before and during pregnancy was associated with increased risk (1.59; 1.07 to 2.37 and 1.53; 0.97 to 2.39, respectively). For PsA, maternal monotherapy before pregnancy was associated with pre-eclampsia (2.72; 1.4 to 5.13). In RA pregnancies with available information (43%), high disease load was associated with doubled risk of pre-eclampsia (aOR 1.96; 1.26 to 3.04).ConclusionPsA pregnancies, but not AxSpA pregnancies, were at increased risk of pre-eclampsia. For RA, combination therapy (potentially a surrogate for high disease activity both before and during pregnancy) and high disease load during pregnancy might be a risk factor for pre-eclampsia.

ObjectiveIn rheumatoid arthritis (RA), evidence regarding the effectiveness of a second biologic disease-modifying antirheumatic drug (bDMARD) in patients whose first-ever bDMARD was a non–tumor necrosis factor inhibitor (TNFi) bDMARD is limited. The objective of this study was therefore to assess the outcome of a second bDMARD (non-TNFi: rituximab [RTX], abatacept [ABA], or tocilizumab [TCZ], separately; and TNFi) after failure of a non-TNFi bDMARD as first bDMARD.MethodsWe identified patients with RA from the 5 Nordic biologics registers who started treatment with a non-TNFi as first-ever bDMARD but switched to a second bDMARD. For the second bDMARD, we assessed drug survival (at 6 and 12 months) and primary response (at 6 months).ResultsWe included 620 patients starting a second bDMARD (ABA 86, RTX 40, TCZ 67, and TNFi 427) following failure of a first non-TNFi bDMARD. At 6 and 12 months after start of their second bDMARD, approximately 70% and 60%, respectively, remained on treatment, and at 6 months, less than one-third of patients were still on their second bDMARD and had reached low disease activity or remission according to the Disease Activity Score in 28 joints. For those patients whose second bMDARD was a TNFi, the corresponding proportion was slightly higher (40%).ConclusionThe drug survival and primary response of a second bDMARD in patients with RA switching due to failure of a non-TNFi bDMARD as first bDMARD is modest. Some patients may benefit from TNFi when used after failure of a non-TNFi as first bDMARD.

Objective: To determine whether a family history of spondyloarthritis (SpA) is associated with clinical presentation at the start of tumour necrosis factor inhibitor (TNFi) treatment, or predictive of TNFi drug survival and treatment response in patients with SpA. Method: Family history of SpA in patients with ankylosing spondylitis (AS), psoriatic arthritis (PsA), and undifferentiated SpA (uSpA) from the Swedish Rheumatology Quality register starting a TNFi as their first biologic in 2006���2018 was assessed through national registers. Clinical characteristics at treatment start were compared by family history status. We used Cox regression to estimate hazard ratios for drug discontinuation, and analysed treatment response at 3 and 12 months with linear regression. Multiple imputation was used to address missing data. Results: We included 9608 patients. Patients with family history had an earlier age at onset and longer disease duration at TNFi treatment start, but did not differ regarding disease activity and presence of SpA manifestations. Hazard ratios for drug discontinuation were 1.08 [95% confidence interval (CI) 0.89���1.31] for AS patients with a family history of AS, 1.02 (95% CI 0.89���1.18) for PsA patients with a family history of PsA, and 1.11 (95% CI 0.85���1.45) for uSpA patients with a family history of uSpA, after adjusting for demographic, socioeconomic, and SpA-related factors. Treatment response at 3 and 12 months was similar between groups. Conclusion: Family history of SpA was not found to be associated with clinical presentation at the start of TNFi treatment, nor was it associated with drug survival or treatment response in SpA patients starting a first TNFi.

Objective.To examine the reproductive pattern of women with idiopathic inflammatory myopathy (IIM) compared to the general population.Methods.Population-based, nationwide registers were used to identify offspring of women with IIM and comparators.Results.Women with IIM in general had similar reproductive patterns as the comparators, whereas in those diagnosed between 26 and 45 years of age, there was an overall trend for fewer children as well as a higher proportion of nulliparity and a lower fertility rate in women with dermatomyositis than their comparators.Conclusion.Reproductive attention should be paid to patients with IIM diagnosed during the childbearing period.

Background:Women with rheumatoid arthritis (RA) are at increased risks of adverse pregnancy outcomes, especially preterm birth (PTB) and small for gestational age (SGA). However, the link between RA disease activity, type and timing of anti-rheumatic treatment, and the risk of these outcomes remains unclear.Objectives:To explore the associations between maternal RA and PTB/SGA in relation to disease activity and use of anti-rheumatic treatment before and during pregnancy.Methods:By linking national medical birth registers to prospective clinical rheumatology registers (CRRs) in Sweden (SRQ) and Denmark (DANBIO), we identified 1739 RA-pregnancies and 17390 control-pregnancies (matched 1:10 on maternal age, birth year, and parity) with delivery 2006-2018. From CRRs and prescribed drug registers, we collected information on RA disease activity (DAS28, CRP and HAQ-score) and anti-rheumatic drugs (biologics, conventional synthetic (cs)DMARDs and oral steroids) nine months before and during pregnancy. Using logistic regression, we estimated adjusted odds ratios (ORs) with 95% confidence intervals (CI) for PTB and SGA in RA-pregnancies vs. control-pregnancies overall, and stratified by disease activity and type of anti-rheumatic treatment before and during pregnancy. Apart from the matching variables we adjusted for body mass index, smoking, educational level and country.Results:Overall, RA-pregnancies were associated with increased ORs of PTB (1.92, 95% CI 1.56-2.35) and SGA (1.93, 95% CI 1.45-2.57). High maternal disease activity during pregnancy strengthened the associations with both PTB and SGA, whereas the ORs approached 1 for low disease activity (control-pregnancies constituting the reference), Table 1. Among RA-pregnancies with available information on DAS28-CRP (n=686, 39%), OR was 2.69 (95% CI 1.37-5.26) for PTB, and 3.39 (95% CI 1.43-8.06) for SGA, comparing DAS28-CRP >=3.2 vs.Table 1.Adjusted odds ratios (ORs)1 for PTB and SGA in RA-pregnancies in relation to disease activity and functional status during pregnancy vs. control pregnanciesPreterm birthSmall for gestational age1Pregnancies, nEvents,n (%)Adjusted OR(95% CI)Pregnancies, nEvents,n (%)Adjusted OR(95% CI)Control-pregnancies217312794 (5)1 (REF)17184418 (2)1(REF)All RA pregnancies21734144 (8)1.92 (1.56-2.35)172275 (4)1.93 (1.45-2.57)DAS28-CRP3,445926 (6)1.05 (0.64-1.72)45613 (3)0.96 (0.49-1.91)3.2-5.118217 (9)2.40 (1.40-4.11)18113 (7)3.13 (1.64-5.97)>5.1435 (12)2.77 (0.86-8.87)434 (9)4.59 (1.59-13.2)No information105096 (9)2.18 (1.71-2.78)104245 (4)2.06 (1.46-2.90)HAQ-score333819 (6)1.31 (0.79-2.16)3358 (2)0.93 (0.41-2.12)0.5-0.916615 (9)2.37 (1.34-4.19)1655 (3)1.50 (0.60-3.74)≥119619 (10)1.85 (1.06-3.24)19518 (9)3.70 (2.05-6.67)No information103491 (9)2.06 (1.60-2.64)102744 (4)1.98 (1.39-2.82)CRP, mg/L345521 (5)0.91 (0.55-1.51)45214 (3)1.09 (0.57-2.07)10-2919122 (11)2.58 (1.52-4.38)19012 (6)2.68 (1.38-5.22)≥30579 (16)4.59 (2.28-9.22)575 (9)4.12 (1.68-10.1)No information103192 (9)2.10 (1.64-2.70)102344 (4)2.05 (1.44-2.90)1Missingness on small for gestational age in 12 RA-pregnancies and 128 control-pregnancies 2Only among live births, i.e. stillbirths excluded. 3Maximum value any time during pregnancy 4Defined as DAS28-CRP without patient’s global health VASConclusion:During pregnancy, disease activity rather than treatment, appears to be the most important risk factor for PTB and SGA in RA. The findings highlight the importance of monitoring RA during pregnancy, especially in women receiving extensive anti-rheumatic treatment or with residual disease activity.Acknowledgements:The Nordic clinical rheumatology registers for allowing us to use their clinical data. We also would like to acknowledge the NordForsk and FOREUM, especially the patient representatives of the NordForsk collaboration.Disclosure of Interests:Karin Hellgren Consultant of: UCB, Anne Emilie Secher: None declared, Bente Glintborg Grant/research support from: Pfizer, Biogen and BMS, Ane Lilleoere Rom: None declared, Björn Gudbjornsson Speakers bureau: Amgen and Novartis, Brigitte Michelsen Consultant of: Novartis, Grant/research support from: Novartis, Fredrik Granath: None declared, Merete Lund Hetland Speakers bureau: Biogen, Celltrion, Janssen Biologics B.V, MSD, Pfizer, Samsung Biopis, Consultant of: Biogen, Celltrion, Janssen Biologics B.V, MSD, Pfizer, Samsung Biopis, Grant/research support from: AbbVie, Biogen, BMS, Eli Lilly Danmark A/S, Lundbeck Fonden, Pfizer, Roche, Sandoz, Novartis

Background:Spondyloarthritis (SpA) is known to have high familial aggregation, with a positive family history of SpA being a strong risk factor for disease development, in particular for ankylosing spondylitis (AS). Despite this well-known characteristic of the disease, whether family history is associated with disease prognosis and treatment outcome has been much less studied. Patient characteristics predicting response to tumour necrosis factor alpha inhibitors (TNFi) in SpA include age, sex and high disease activity, but whether family history is predictive of TNFi treatment outcomes remains unclear.Objectives:To assess if a family history of psoriatic arthritis (PsA), AS, or SpA in general is associated with a different drug survival and treatment response to TNFi in patients with AS and PsA.Methods:Patients diagnosed with AS (N=1688) or PsA (N=3216) starting their first TNFi treatment between January 2006 and December 2017 were identified in the Swedish Rheumatology Quality Register (SRQ). Disease activity measures were extracted from SRQ at treatment start and at 3 and 12 months of treatment. Data on demographics and comorbidities were available through linkage to other national registries. Multiple imputation was applied to address missing data. Family history was defined as having at least one first-degree relative diagnosed with AS, PsA or any form of SpA in the National Patient Register at start of first TNFi. Analyses were made for AS and PsA index patients separately. Kaplan-Meier plots were used to compare drug survival, and hazard ratios for drug discontinuation were estimated with Cox regression adjusting for age, sex, disease duration and baseline disease activity. The change in disease activity from baseline to 3 months of treatment, and the proportion of patients remaining on treatment at 12 months and reaching low disease activity (LDA) with BASDAI (for AS) and DAS28-CRP (for PsA), were analysed in linear regression adjusting for age, sex, disease duration and baseline disease activity.Results:A positive family history of AS was found in 14% of AS patients, and 12% of PsA patients had a family history of PsA. Characteristics such as age, sex and baseline disease activity were similar in AS patients with and without a family history of AS. Among PsA patients, those with a family history of PsA were to a larger extent female, with lower CRP but longer disease duration. No significant differences were seen in drug survival among patients with and without a family history of their respective disease (Figure 1), with hazard ratios for drug discontinuation of 1.03 (95% CI 0.84 to 1.27) in AS patients and 1.08 (95% CI 0.94 to 1.25) in PsA patients. Using family history of any form of SpA as exposure did not change this conclusion. The changes in disease activity at 3 months of treatment compared to baseline were similar between groups. At 12 months, 55.2% of AS patients with a family history were still on treatment and had a BASDAI corresponding to LDA, compared to 56.4% of AS patients without a family history. Among PsA patients, 38.7% of patients with a family history had reached DAS28-CRP LDA, compared to 42.6% for those without a family history. For both AS and PsA, these differences were non-significant.Conclusion:While family history of SpA is a strong predictor of disease development, family history was not found to affect neither TNFi drug survival nor treatment response in patients with AS and PsA in this register-based study.Figure 1.Survival plots for time to TNFi discontinuation in patients diagnosed with AS and PsA respectively, by family history statusDisclosure of Interests:Matilda Morin: None declared, Karin Hellgren Speakers bureau: KH has received speakers fee from Abbvie and UCB Nordic., Ulf Lindström: None declared, Thomas Frisell: None declared

There are increasing needs for detailed real-world data on rheumatic diseases and their treatments. Clinical register data are essential sources of information that can be enriched through linkage to additional data sources such as national health data registers. Detailed analyses call for international collaborative observational research to increase the number of patients and the statistical power. Such linkages and collaborations come with legal, logistic and methodological challenges. In collaboration between registers of inflammatory arthritides in Sweden, Denmark, Norway, Finland and Iceland, we plan to enrich, harmonise and standardise individual data repositories to investigate analytical approaches to multisource data, to assess the viability of different logistical approaches to data protection and sharing and to perform collaborative studies on treatment effectiveness, safety and health-economic outcomes. This narrative review summarises the needs and potentials and the challenges that remain to be overcome in order to enable large-scale international collaborative research based on clinical and other types of data.

BackgroundLymphomas comprise a heterogeneous group of malignant diseases with highly variable prognosis. Rheumatoid arthritis (RA) is associated with a twofold increased risk of both Hodgkin’s lymphoma (HL) and non-Hodgkin’s lymphoma (NHL). It is unknown whether treatment with biologic disease-modifying antirheumatic drugs (bDMARDs) affect the risk of specific lymphoma subtypes.MethodsPatients never exposed to (bionaïve) or ever treated with bDMARDs from 12 European biologic registers were followed prospectively for the occurrence of first ever histologically confirmed lymphoma. Patients were considered exposed to a bDMARD after having received the first dose. Lymphomas were attributed to the most recently received bDMARD.ResultsAmong 124 997 patients (mean age 59 years; 73.7% female), 533 lymphomas were reported. Of these, 9.5% were HL, 83.8% B-cell NHL and 6.8% T-cell NHL. No cases of hepatosplenic T-cell lymphoma were observed. Diffuse large B-cell lymphoma (DLBCL) was the most frequent B-cell NHL subtype (55.8% of all B-cell NHLs). The subtype distributions were similar between bionaïve patients and those treated with tumour necrosis factor inhibitors (TNFi). For other bDMARDs, the numbers of cases were too small to draw any conclusions. Patients with RA developed more DLBCLs and less chronic lymphocytic leukaemia compared with the general population.ConclusionThis large collaborative analysis of European registries has successfully collated subtype information on 533 lymphomas. While the subtype distribution differs between RA and the general population, there was no evidence of any modification of the distribution of lymphoma subtypes in patients with RA treated with TNFi compared with bionaïve patients.

Objective. Data on lymphoma risk in ankylosing spondylitis (AS) and psoriatic arthritis (PsA) are scarce. This study was undertaken to assess the risk of lymphoma in AS and PsA overall and in relat ...

Objective Patients with rheumatoid arthritis (RA) are at increased risk of malignant lymphomas with a strong correlation with RA disease severity. Given the changes in RA therapy over recent decades, this study was undertaken to assess whether lymphoma risk remains increased, and if so, to explore risk predictors and lymphoma subtypes. Methods We identified 12,656 cases of incident RA in the Swedish Rheumatology Quality Register 1997-2012 and obtained information on therapy and inflammatory activity during the first year after diagnosis. Each patient was matched to 10 population comparator subjects. Through linkage to the Swedish Cancer Register, lymphomas, including subtypes, were identified. We assessed hazard ratios (HRs) using Cox regression. Results Overall, the HR for lymphoma was increased in RA, to 1.6 (95% confidence interval [95% CI] 1.2-2.1). Taking RA duration into account, risks did not appear to have declined over successive calendar years of RA diagnosis. Neither use of methotrexate the first year after RA diagnosis nor ever use of tumor necrosis factor inhibitors (TNFi) increased lymphoma risk (HR 0.9 [95% CI 0.4-1.9]). Use of oral corticosteroids the first year after RA diagnosis was associated with a reduced risk (HR 0.5 [95% CI 0.3-0.9]). Inflammatory activity during the first year after RA diagnosis did not predict future lymphoma risk. Chronic lymphocytic leukemia occurred less frequently, and Hodgkin's lymphoma occurred more frequently, in RA patients than in the general population. Conclusion The average lymphoma risk in recently diagnosed RA is similar in magnitude to that reported in historical cohorts. Standard antirheumatic treatment including TNFi did not predict future lymphoma risk. Distribution of lymphoma subtypes warrants further investigation.

Patients with rheumatoid arthritis (RA), in particular those with the most severe disease, are at increased risk of developing malignant lymphoma. Whether this increase is entirely a consequence of the RA disease and/or its treatment or is reflective of shared susceptibility to the two diseases remains unclear. We undertook this study to assess whether patients with RA are already at increased risk of lymphoma or of other cancers before the diagnosis of RA, and if the relative risk increases with time since RA diagnosis.Patients with incident RA (symptom duration1 year) (n = 6,745) registered in the Swedish Early Arthritis Registry from 1997 through 2006 were identified. For each patient, 5 general population controls were randomly matched by sex, age, marital status, and residence (n = 33,657). For all study subjects, inclusion in the nationwide Swedish Cancer Register in 1958-2006 was determined. Relative risks (RRs) (with 95% confidence intervals [95% CIs]) of lymphoma and of cancer overall, before and after diagnosis of RA, were estimated using conditional logistic regression and Cox regression, respectively.Before diagnosis of RA, there was no observed increase in the risk of lymphoma (RR [odds ratio] 0.67 [95% CI 0.37-1.23]) or other cancers (RR 0.78 [95% CI 0.70-0.88]). During the first 10 years following diagnosis of RA, the overall RR (hazard ratio) of lymphoma development was 1.75 (95 % CI 1.04-2.96).These findings indicate that overall, a history of cancer, including lymphoma, does not increase the risk of subsequent RA development. Shared susceptibility to RA and lymphoma may thus be of limited importance. In contrast, increased lymphoma risks were observed within the first decade following RA diagnosis.

Benefits and risks of corticosteroid treatment in rheumatoid arthritis (RA) are debated. Patients with RA are at increased risk of malignant lymphomas. In a large case-control study of risk factors for lymphoma in RA, it was recently reported that steroid treatment was associated with decreased lymphoma risk.To further assess the nature of the association between steroid treatment in RA and the risk of lymphoma.In a cohort of 74 651 patients with RA, 378 patients with lymphoma and 378 matched RA controls were identified, and information on inflammatory activity and different aspects of steroid treatment (duration, therapeutic strategy and mode of administration) abstracted from their medical records. Lymphomas were reclassified (WHO classification) and examined for Epstein-Barr virus. Relative risks were assessed as adjusted odds ratios (ORs) through conditional logistic regression.A total duration of oral steroid treatment of2 years was not associated with lymphoma risk (OR=0.87; 95% CI 0.51 to 1.5), whereas total treatment2 years was associated with a lower lymphoma risk (OR=0.43; 95% CI 0.26 to 0.72). RA duration at the initiation of oral steroids did not affect lymphoma risk. Intra-articular steroids were associated with a reduced lymphoma risk, but only when used as swift flare treatment (OR=0.22; 95% CI 0.13 to 0.37). Analyses by lymphoma subtype showed a reduced risk of diffuse large B-cell lymphoma (crude OR=0.59; 95% CI 0.37 to 0.94).In this RA population, use of steroids was associated with reduced lymphoma risk. Whether this association is a generic effect of steroids or specific to the studied population remains unknown.

Background Although family history of arthritis-related diseases is routinely collected as part of the work-up for rheumatoid arthritis (RA) in clinical practice, the interpretation of such information is often difficult since the relative importance of a family history of different arthritic and inflammatory diseases - beyond the established familial association of RA itself - is little known. Further, recent studies suggest that seropositive and seronegative RA have unique as well as shared genetic risk factors. However, with the exception of the HLA region, little is known about which genes or pathways are different between the two disease subsets. Objectives To assess the difference in predictive value of a family history of arthritis-related conditions for seropositive and seronegative RA, incidentally exploring the possible genetic difference of these disease subsets. Methods Register-based nested case-control study in the Swedish total population. RA was ascertained through the nationwide Patient register and the Swedish Rheumatology Register. First degree relatives were ascertained through the Swedish Multi-Generation Register. Autoimmune and arthritis-related diseases in relatives were assessed through the Patient register. Familial risks where calculated using conditional logistic regression with robust standard errors. Results Family history of seropositive RA was the strongest predictor of RA in the proband, regardless of serostatus. Statistically significant familial co-aggregation with RA was found for every arthritis-related disease under study, but risk increases varied widely (Table). With the exception of family history of RA itself, the difference in familial co-aggregation was very small for seropositive and seronegative RA. When combinations of family histories were examined, no arthritis-related disease added information beyond that provided by a family history of RA. Conclusions Seropositive and seronegative RA does not appear to differ much in the genetic risk factors that are shared with other arthritis-related diseases. Although a family history of (either of) several non-RA arthritis-related diseases is predictive of RA, the impact of others (e.g., osteoarthritis, unspecified athralgia) is negligible. Disclosure of Interest None declared DOI 10.1136/annrheumdis-2014-eular.1720

Does Biological Therapy Alter the Lymphoma Risk or Distribution of Lymphoma Subtypes in Patients with ra?