| 1. |
- Chatzidionysiou, K, et al.
(författare)
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THE RISK OF LUNG CANCER IN RHEUMATOID ARTHRITIS AND IN RELATION TO AUTOANTIBODY POSITIVITY AND SMOKING
- 2022
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Ingår i: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 81, s. 247-247
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Lung cancer is a common malignancy in rheumatoid arthritis (RA)1,2. Since smoking is a risk factor for both (seropositive) RA and lung cancer, it remains unclear whether RA, in itself, increases lung cancer risk.ObjectivesThe aim of this study was to examine whether and to what extent the increased risk of lung cancer in RA may (or may not) be attributable to smoking, and to examine this association, both in terms of absolute and relative risks, specifically in relation to RA serostatus.MethodsWe performed a population-based cohort study of RA patients and individually matched general population reference individuals identified in Swedish registers and from the EIRA early RA study, prospectively followed for lung cancer occurrence 1995 through 2018. We calculated incidence rates and performed Cox regression to estimate hazard ratios (HR) including 95% confidence intervals (CI) of lung cancer, taking smoking and sero-status into account.ResultsOverall, we included 44,101 RA patients (590 incident lung cancers, 56 per 100,000), and 216,495 matched general population individuals (1,691 incident lung cancers, 33 per 100,000), corresponding to a crude HR (95% CI) of 1.76 (1.60-1.93). In subset analyses this increased risk remained after adjustment for smoking (HR=1.77, 95% CI 1.06-2.97). Compared to general population subjects who were never smokers, RA patients who were ever smokers had almost 7 times higher risk of lung cancer.Positive autoantibody status was associated with an at least doubled risk of lung cancer in ACPA positive patients (vs. ACPA negative patients) and double seropositive (vs. double seronegative) patients after adjusting for comorbidities and smoking (Table 1).Table 1.Number of events, person-years of follow-up, number of events per 100,000 person-years, and relative risk of lung cancer according to autoantibody status in the EIRA sub-cohort. Five Hazard ratios are presented: a) crude; b) adjusted for age, sex, index year, county of residency (model A); c) age, sex, index year, county of residency and comorbidities (renal failure, heart failure, ischemic heart disease, COPD, respiratory infections, hospitalization) (model B) c) all the above plus smoking (model C) and d) as model C with packet-years instead of smoking ever vs. never.No of events (person years of follow-up; No of events/100 000 person years)Crude Hazard ratio (95% CI)Model A Hazard ratio* (95% CI)Model BHazard ratio** (95% CI)Model CHazard ratio** (95% CI)Model D with smoking as pack-years instead of ever/neverPositiveNegativeRF (N=2060)30(49,440; 60.7)6(49,440; 12.1)2.78 (1.16-6.69)3.01 (1.25-7.26)2.82 (1.17-6.82)2.44 (1.01-5.89)2.16 (0.88-5.28)ACPA (N=2060)30(49,440; 60.7)6(49,440; 12.1)3.13 (1.30-7.51)3.43 (1.42-8.25)3.22 (1.33-7.77)2.88 (1.19-6.95)3.29 (1.26-8.58)RF and/or ACPA (N=2060)34(49,440; 68.8)2(49,440; 4.0)6.38 (1.53-26.56)7.62 (1.83-31.83)7.20 (1.72-30.11)6.29 (1.51-26.30)5.76 (1.37-24.21)RF and ACPA (positive vs. double negative)(N=1608)26(38,592; 67.4)2(38,592; 5.2)6.67 (1.58-28.08)7.92 (1.87-33.50)7.08 (1.67-29.98)6.21 (1.47-26.33)5.86 (1.37-25.01)The average absolute five-year risk of lung cancer counting from RA diagnosis was 1.3% in ever-smoking seropositive RA. At 20 years the risk was almost 3% in RA overall, and over 4% for patients who were ever smokers and had at least one autoantibody.ConclusionRA seropositivity is a strong and at least seemingly independent risk factor for lung cancer in RA. The absolute risks point to the potential for regular lung cancer screening, at least in seropositive RA.References[1]Simon TA, Thompson A, Gandhi KK, et al. Incidence of malignancy in adult patients with rheumatoid arthritis: A meta-analysis. Arthritis Res Ther Published Online First: 2015.[2]Khurana R, Wolf R, Berney S, et al. Risk of development of lung cancer is increased in patients with rheumatoid arthritis: A large case control study in US veterans. J Rheumatol 2008.Disclosure of InterestsKaterina Chatzidionysiou Consultant of: consultancy fees from Eli Lilly, AbbVie and Pfizer, Daniela Di Giuseppe: None declared, Jonas Söderling: None declared, Anca Catrina: None declared, Johan Askling Grant/research support from: Karolinska Institutet has entered into agreements between Karolinska Institutet (JA as principal investigator) with AbbVie, BMS, MSD, Eli Lilly, Pfizer, Roche, Samsung Bioepis, Sanofi and UCB, mainly regarding safety monitoring of anti-rheumatic therapies
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| 2. |
- Frodlund, M, et al.
(författare)
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THE IMPACT OF IMMUNOMODULATING TREATMENT ON THE IMMUNOGENICITY OF COVID-19 VACCINES IN PATIENTS WITH IMMUNE-MEDIATED INFLAMMATORY RHEUMATIC DISEASES COMPARED TO HEALTHY CONTROLS. A SWEDISH NATIONWIDE STUDY (COVID19-REUMA)
- 2022
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Ingår i: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 81, s. 113-114
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Initial studies on the immunogenicity of COVID-19 vaccines in patients with immune-mediated inflammatory rheumatic diseases (IRD) reported diminished antibody response in general, and particularly when treated with rituximab or abatacept (1). Additional data are needed, especially for patients with IRD and immunomodulatory treatments.ObjectivesTo elucidate the antibody response after two doses of COVID-19 vaccine in patients with IRD treated with biologic or targeted synthetic disease modifying anti-rheumatic drugs (b/ts DMARDs) as monotherapy or combined with conventional synthetic DMARDS (csDMARDs).MethodsAntibodies against two antigens representing Spike full length protein and Spike S1 and a Nucleocapsid C-terminal fragment (used to confirm previously COVID-19 infection) were measured in serum obtained before and after the second vaccination using a multiplex bead-based serology assay (2). Patients with IRD receiving immunomodulating treatment, followed at a rheumatology department and healthy individuals (controls) were recruited from five Swedish regions. Antibody positivity was classified as the signal passing an antigen specific cutoff based on the mean intensity signal of 12 selected negative pre-pandemic controls plus 6SD for Spike/S1 and 12SD for Nucleocapsid-C. Good vaccine response was defined as having antibodies over cut-off level for both spike antigens. Percentage of responders in each treatment group was compared to controls (Chi2 test). Predictors of antibody response were determined using logistic regression analysis.ResultsIn total, 414 patients (320 RA/JIA/psoriatic arthritis/axial spondylarthritis, 60 systemic vasculitis and 32 other IRD) and 61 controls participated. Patients receiving rituximab (n=145; 65% female; mean age 65years), abatacept (n=21; 77% female; mean age 66 years), IL6 inhibitors (n=77; 74% female; mean age 64years), JAK-inhibitors (n=58; 75% female, mean age 53years), TNF-inhibitors (n=68; 66% female; mean age 44years;), IL17 inhibitors (n=42; 54% female; mean age 44years) and controls (n=61; 74% female, mean age 49years) were studied. Patients receiving IL6 inhibitor (81.0%), abatacept (43.8%) or rituximab (33.8%) had a significantly lower antibody response rate compared to controls (98.4%), further pronounced if combined with csDMARD (p<0.001) (Figure 1). In the adjusted logistic regression analysis, higher age, rituximab, abatacept, concomitant csDMARD but not IL6 inhibitors, concomitant prednisolone, or a vasculitis diagnosis, remained significant predictors of antibody response (Table 1). All vaccines were well tolerated. 14 (3.4%) patients reported an increased activity in their IRD following vaccination.ConclusionIn this nationwide study including IRD patients receiving b/ts DMARDs a decreased immunogenicity of COVID-19 vaccines was observed in patients receiving rituximab, abatacept and to some extent IL-6 inhibitors. Concomitant csDMARD gave further attenuation. Patients on rituximab and abatacept should be prioritized for booster doses of COVID19 vaccine.References[1]Jena, et al. Response to SARS-CoV-2 vaccination in immune mediated inflammatory diseases: Systematic rev./meta-analysis. Autoim. Rev: 2021;102927[2]Hober, et al. Systematic evaluation of SARS-CoV-2 antigens enables a highly specific and sensitive multiplex serol. C-19 assay. Clin Transl Im. 2021;10(7): e1312Table 1.Predictors of antibody response to COVID-19 vaccineRituximab-1.799<0.0010.170.07-0.42Abatacept-1.9710.0010.140.04-0.45IL6 inhibitor0.0230.9651.020.36-2.94Age (years)-0.0810.0000.920.89-0.96csDMARD-1.1270.0020.320.16-0.66Prednisolone (mg/day)-0.0640.2060.940.85-1.04Frequency (%) of individuals with good antibody response to COVID-19 vaccineAcknowledgementsUnrestricted research grants have been received från Roche and starting grants from the Swedish Rheumatism AssociationDisclosure of InterestsMartina Frodlund Consultant of: Consultancy fees from AstraZeneca and GSK, Katerina Chatzidionysiou Consultant of: Consultancy fees from Eli Lilly, AbbVie and Pfizer, Anna Södergren: None declared, Eva Klingberg: None declared, Anders Bengtsson: None declared, Lars Klareskog Grant/research support from: Research grants from Pfizer, BMS, Affibody, Sonoma Biotherapeutics, Meliha C Kapetanovic: None declared
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| 3. |
- Christiansen, SN, et al.
(författare)
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SECULAR TRENDS IN BASELINE CHARACTERISTICS, TREATMENT RETENTION AND RESPONSE RATES IN 17453 BIONAIVE PSORIATIC ARTHRITIS PATIENTS INITIATING TNFI - RESULTS FROM THE EUROSPA COLLABORATION
- 2021
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Ingår i: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 80, s. 131-132
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Knowledge of changes over time in baseline characteristics and tumor necrosis factor inhibitor (TNFi) response in bionaïve psoriatic arthritis (PsA) patients treated in routine care is limited.Objectives:To investigate secular trends in baseline characteristics and retention, remission and response rates in PsA patients initiating a first TNFi.Methods:Prospectively collected data on bionaïve PsA patients starting TNFi in routine care from 15 European countries were pooled. According to year of TNFi initiation, three groups were defined a priori based on bDMARD availability: Group A (1999–2008), Group B (2009–2014) and Group C (2015–2018).Retention rates (Kaplan-Meier), crude and LUNDEX adjusted1 remission (Disease Activity Score (DAS28) <2.6, 28-joint Disease Activity index for PsA (DAPSA28) ≤4, Clinical Disease Activity Index (CDAI) ≤2.8) and ACR50 response rates were assessed at 6, 12 and 24 months. No statistical comparisons were made.Results:A total of 17453 PsA patients were included (4069, 7551 and 5833 in groups A, B and C).Patients in group A were older and had longer disease duration compared to B and C. Retention rates at 6, 12 and 24 months were highest in group A (88%/77%/64%) but differed little between B (83%/69%/55%) and C (84%/70%/56%).Baseline disease activity was higher in group A than in B and C (DAS28: 4.6/4.3/4.0, DAPSA28: 29.9/25.7/24.0, CDAI: 21.8/20.0/18.6), and this persisted at 6 and 12 months. Crude and LUNDEX adjusted remission rates at 6 and 12 months tended to be lowest in group A, although crude/LUNDEX adjusted ACR50 response rates at all time points were highest in group A. At 24 months, disease activity and remission rates were similar in the three groups (Table).Table 1.Secular trends in baseline characteristics, treatment retention, remission and response rates in European PsA patients initiating a 1st TNFiBaseline characteristicsGroup A(1999–2008)Group B(2009–2014)Group C(2015–2018)Age, median (IQR)62 (54–72)58 (49–67)54 (45–62)Male, %514847Years since diagnosis, median (IQR)5 (2–10)3 (1–9)3 (1–8)Smokers, %161717DAS28, median (IQR)4.6 (3.7–5.3)4.3 (3.4–5.1)4.0 (3.2–4.8)DAPSA28, median (IQR)29.9 (19.3–41.8)25.7 (17.2–38.1)24.0 (16.1–35.5)CDAI, median (IQR)21.8 (14.0–31.1)20.0 (13.0–29.0)18.6 (12.7–26.1)TNFi drug, % (Adalimumab / Etanercept / Infliximab / Certolizumab / Golimumab)27 / 43 / 30 / 0 / 036 / 31 / 14 / 5 / 1421 / 40 / 21 / 8 / 10Follow up6 months12 months24 monthsGr AGr BGr CGr AGr BGr CGr AGr BGr CRetention rates, % (95% CI)88 (87–89)83 (82–84)84 (83–85)79 (78–80)72 (71–73)72 (71–73)68 (67–69)60 (59–61)60 (59–62)DAS28, median (IQR)2.7 (1.9–3.6)2.4 (1.7–3.4)2.3 (1.7–3.2)2.5 (1.8–3.4)2.2 (1.6–3.1)2.1 (1.6–2.9)2.1 (1.6–3.1)2.0 (1.6–2.9)1.9 (1.5–2.6)DAPSA28, median (IQR)10.6 (4.8–20.0)9.5 (3.9–18.3)8.7 (3.6–15.9)9.1 (4.1–17.8)7.7 (3.1–15.4)7.6 (2.9–14.4)6.7 (2.7–13.7)6.6 (2.7–13.5)5.9 (2.4–11.8)CDAI, median (IQR)7.8 (3.0–15.2)8.0 (3.0–15.0)6.4 (2.6–12.2)6.4 (2.5–13.0)6.2 (2.5–12.1)5.8 (2.2–11.4)5.0 (2.0–11.0)5.5 (2.0–11.2)5.0 (2.0–9.0)DAS28 remission, %, c/L47 / 4255 / 4661 / 5153 / 4362 / 4566 / 4864 / 4268 / 3775 / 41DAPSA28 remission, %, c/L22 / 1926 / 2228 / 2325 / 2031 / 2232 / 2336 / 2334 / 1938 / 21CDAI remission, %, c/L23 / 2123 / 1926 / 2227 / 2127 / 2029 / 2134 / 2231 / 1735 / 19ACR50 response, %, c/L26 / 2322 / 1824 / 2027 / 2223 / 1721 / 1523 / 1518 / 1014 / 8Gr, Group; c/L, crude/LUNDEX.Conclusion:Over the past 20 years, patient age, disease duration and disease activity level at the start of the first TNFi in PsA patients have decreased. Furthermore, TNFi retention rates have decreased while remission rates have increased, especially remission rates within the first year of treatment. These findings may reflect a greater awareness of early diagnosis in PsA patients, a lowered threshold for initiating TNFi and the possibility for earlier switching in patients with inadequate treatment response.References:[1]Arthritis Rheum 2006; 54: 600-6.Acknowledgements:Novartis Pharma AG and IQVIA for supporting the EuroSpA Research Collaboration Network.Disclosure of Interests:Sara Nysom Christiansen Speakers bureau: BMS and GE, Grant/research support from: Novartis, Lykke Midtbøll Ørnbjerg Grant/research support from: Novartis, Simon Horskjær Rasmussen: None declared, Anne Gitte Loft Speakers bureau: AbbVie, Janssen, Lilly, MSD, Novartis, Pfizer, UCB, Consultant of: AbbVie, Janssen, Lilly, MSD, Novartis, Pfizer, UCB, Grant/research support from: Novartis, Johan K Wallman Consultant of: Celgene, Eli Lilly, Novartis, Florenzo Iannone Speakers bureau: Abbvie, MSD, Novartis, Pfizer and BMS, Brigitte Michelsen Consultant of: Novartis, Grant/research support from: Novartis, Michael J. Nissen Speakers bureau: Novartis, Eli Lilly, Celgene, and Pfizer, Consultant of: Novartis, Eli Lilly, Celgene, and Pfizer, Jakub Zavada: None declared, Maria Jose Santos Speakers bureau: AbbVie, Novartis, Pfizer, Manuel Pombo-Suarez: None declared, Kari Eklund: None declared, Matija Tomsic Speakers bureau: Abbvie, Amgen, Biogen, Medis, MSD, Novartis, Pfizer, Consultant of: Abbvie, Amgen, Biogen, Medis, MSD, Novartis, Pfizer, Björn Gudbjornsson Speakers bureau: Amgen and Novartis, İsmail Sari: None declared, Catalin Codreanu Speakers bureau: AbbVie, Amgen, Egis, Novartis, Pfizer, UCB, Grant/research support from: AbbVie, Amgen, Egis, Novartis, Pfizer, UCB, Daniela Di Giuseppe: None declared, Bente Glintborg Grant/research support from: Pfizer, Biogen, AbbVie, Marco Sebastiani: None declared, Karen Minde Fagerli: None declared, Burkhard Moeller: None declared, Karel Pavelka Speakers bureau: AbbVie, Roche, MSD, UCB, Pfizer, Novartis, Egis, Gilead, Eli Lilly, Consultant of: AbbVie, Roche, MSD, UCB, Pfizer, Novartis, Egis, Gilead, Eli Lilly, Anabela Barcelos: None declared, Carlos Sánchez-Piedra: None declared, Heikki Relas: None declared, Ziga Rotar Speakers bureau: Abbvie, Amgen, Biogen, Medis, MSD, Novartis, Pfizer, Consultant of: Abbvie, Amgen, Biogen, Medis, MSD, Novartis, Pfizer, Thorvardur Love: None declared, Servet Akar: None declared, Ruxandra Ionescu Speakers bureau: Abbvie, Amgen, Boehringer-Ingelheim Eli-Lilly,Novartis, Pfizer, Sandoz, UCB, Gary Macfarlane Grant/research support from: GlaxoSmithKline, Marleen G.H. van de Sande: None declared, Merete L. Hetland Speakers bureau: Abbvie, Biogen, BMS, Celltrion, Eli Lilly, Janssen Biologics B.V, Lundbeck Fonden, MSD, Pfizer, Roche, Samsung Biopies, Sandoz, Novartis., Mikkel Østergaard Speakers bureau: AbbVie, BMS, Boehringer-Ingelheim, Celgene, Eli-Lilly, Centocor, GSK, Hospira, Janssen, Merck, Mundipharma, Novartis, Novo, Orion, Pfizer, Regeneron, Schering-Plough, Roche, Takeda, UCB and Wyeth, Consultant of: AbbVie, BMS, Boehringer-Ingelheim, Celgene, Eli-Lilly, Centocor, GSK, Hospira, Janssen, Merck, Mundipharma, Novartis, Novo, Orion, Pfizer, Regeneron, Schering-Plough, Roche, Takeda, UCB and Wyeth
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| 4. |
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| 5. |
- Aggarwal, R, et al.
(författare)
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RANDOMIZED, DOUBLE-BLIND, PLACEBO-CONTROLLED TRIAL TO EVALUATE EFFICACY AND SAFETY OF SC ABATACEPT IN ADULTS WITH ACTIVE IDIOPATHIC INFLAMMATORY MYOPATHY
- 2022
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Ingår i: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 81, s. 711-711
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Limited therapies are available for patients with idiopathic inflammatory myopathy (IIM), a heterogenous group of chronic, systemic, autoimmune inflammatory diseases characterized by progressive muscle weakness and/or distinct skin rashes.1 Abatacept, a selective co-stimulation modulator, may be a useful treatment option.2ObjectivesTo evaluate efficacy, safety, and tolerability of abatacept + standard of care (SOC) in patients with IIM compared with SOC alone (placebo).MethodsA 24-week, randomized, double-blind, placebo-controlled phase 3 trial of SC abatacept (125 mg weekly) + SOC (corticosteroids and immunosuppressants alone or combined; NCT02971683) in patients with active, treatment-refractory IIM (Manual Muscle Testing-8 [MMT-8] ≤ 135) was performed. Primary endpoint was proportion of patients meeting International Myositis Assessment and Clinical Studies definition of improvement (IMACS DOI) at week 24. Change from baseline in myositis Functional Index-2 (FI-2), HAQ-DI, Myositis Disease Activity Assessment Tool (MDAAT), and Myositis Response Criteria (MRC) were secondary endpoints with safety. Post hoc analyses by disease subtype were performed.ResultsOverall, 148 patients were randomized (75 abatacept; 73 placebo); IIM subtypes were dermatomyositis (DM; 53.3% vs 57.5%), polymyositis (PM; 25.3% vs 34.2%), and autoimmune necrotizing myopathy (ANM; 21.3% vs 8.2%). Mean baseline MMT-8 and HAQ-DI scores were 112.7 and 1.5, respectively. Approximately 90% of patients completed week 24. Week 24 IMACS DOI rates were abatacept 56.0% vs placebo 42.5% (adjusted odds ratio, 1.8 [95% CI, 0.9–3.5]; P = 0.083). Pre-specified IMACS DOI analysis showed no differences for patients with DM but notable benefit for those with non-DM subtypes, PM and ANM (Table 1). Secondary endpoints showed similar differences (Table 1). MRC at day 169 by category is shown in Figure 1. Proportion of AEs (69.3% and 75.3%) and serious AEs (5.3% and 5.5%) were similar in the abatacept and placebo arms.Table 1.Primary and secondary (mean change from baseline at week 24) endpointsOutcomeIIMAbataceptPlaceboNominal P value (abatacept vs placebo) or adjusted mean difference from placebo (95% CI)IMACS DOI,a n/N (%)All42/75 (56.0)31/73 (42.5)P = 0.083DM22/40 (55.0)21/42 (50.0)P = 0.679Non-DM20/35 (57.1)10/31 (32.3)P = 0.040FI-2All4.1 (1.3)1.2 (1.4)2.9 (0 to 5.8)DM2.3 (1.6)0.3 (1.4)1.9 (−2.3 to 6.2)Non-DM3.2 (1.4)−0.6 (1.5)3.7 (−0.3 to 7.8)HAQ-DIAll−0.31 (0.07)0.20 (0.07)−0.12 (−0.28 to 0.04)DM−0.31 (0.08)−0.19 (0.07)−0.11 (−0.32 to 0.10)Non-DM−0.25 (0.09)−0.07 (0.09)−0.18 (−0.44 to 0.07)MDAAT, Extramuscular Global Activity, (95% CI)bAll−1.56 (−1.96 to −1.16)−1.40 (−1.81 to −0.99)−0.16 (−0.63 to 0.30)DM−1.90 (−2.43 to −1.37)−1.85 (−2.35 to 1.36)−0.05 (−0.77 to 0.68)Non-DM−1.09 (−1.46 to −0.72)−0.85 (−1.27 to −0.43)−0.24 (−0.80 to 0.32)MMT-8All12.9 (1.9)11.0 (2.0)1.8 (−2.7 to 6.4)DM14.4 (2.2)14.0 (2.2)0.4 (−5.7 to 6.4)Non-DM12.1 (2.5)7.8 (2.7)4.3 (−3.0 to 11.7)Physician Global AssessmentbAll−2.89 (0.30)−2.69 (0.30)−0.20 (−0.92 to 0.52)DM−2.78 (0.29)−2.43 (0.28)−0.35 (−1.15 to 0.46)Non-DM−2.35 (0.43)−2.21 (0.48)−0.14 (−1.43 to 1.15)Patient Global AssessmentbAll−1.4 (0.31)−0.98 (0.32)−0.38 (−1.11 to 0.35)DM−1.4 (0.33)−1.4 (0.31)−0.00 (−0.91 to 0.90)Non-DM−1.2 (0.41)−0.3 (0.44)−0.93 (−2.14 to 0.29)Data are adjusted mean change from baseline score (SE) unless stated.aDefined as improvement of ≥ 20% in 3 IMACS core measures, worsening by ≥ 25% in ≤ 2 IMACS core measure scores, and a reduction of < 25% in MMT-8; b100 mm visual analog scale.ConclusionIn this double-blind trial of SC abatacept vs placebo, abatacept failed to meet primary or secondary endpoints. Post hoc analyses suggest a treatment benefit in patients with PM and ANM (not DM) when treated with abatacept. Abatacept use was well tolerated.References[1]Dalakas MC, Hohlfeld R. Lancet 2003;362:971–82.[2]Tjärnlund A, et al. Ann Rheum Dis 2018;77:55–62.AcknowledgementsThis study was sponsored by Bristol Myers Squibb. Medical writing and editorial assistance were provided by Fiona Boswell, PhD, of Caudex and were funded by Bristol Myers Squibb. Study execution was by Sandra Overfield and Robin Scully.Disclosure of InterestsRohit Aggarwal Consultant of: AbbVie, Alexion, Argenx, AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Corbus, CSL Behring, EMD Serono, Janssen, Jubilant, Kezar, Kyverna, Mallinckrodt, Octapharma, Orphazyme, Pfizer, Q32, Roivant (personal fees), Grant/research support from: Bristol Myers Squibb, EMD Serono, Genentech, Mallinckrodt, Pfizer, Q32, Ingrid E. Lundberg Shareholder of: Novartis, Roche, Consultant of: Argenx, AstraZeneca, Corbus, EMD Serono, Janssen, Kezar, Octapharma, Orphazyme (personal fees), Grant/research support from: Bristol Myers Squibb, Yeong Wook Song: None declared, Aziz Shaibani: None declared, Victoria P Werth Consultant of: AbbVie, Akari, Amgen, Argenx, AstraZeneca, Bayer, Beacon Bioscience, Biogen, Bristol Myers Squibb, Celgene, Corcept, Crisalis, CSL Behring, Cugene, EMD Serono, Genentech, Gilead, GlaxoSmithKline, Horizon, Idera, Incyte, Janssen, Kezar, Kwoya Kirin, Lilly, Medimmune, Medscape, Merck, Nektar, Octapharma, Pfizer, Principia, Regeneron, Resolve, Rome Pharmaceuticals, Sanofi, UCB, Viela Bio, Grant/research support from: Amgen, Argenx, AstraZeneca, Biogen, Bristol Myers Squibb, Celgene, Corbus Pharmaceuticals, CSL Behring, Genentech, Gilead, Janssen, Pfizer, q32 Bio, Regeneron, Syntimmune, Ventus, Viela, Michael A Maldonado Employee of: Bristol Myers Squibb
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| 6. |
- Aghakhanian, F, et al.
(författare)
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INTEGRATION OF GWAS AND EPIGENETIC STUDIES IDENTIFIES NOVEL GENES THAT ALTER EXPRESSION IN THE MINOR SALIVARY GLAND IN SJOGREN'S DISEASE
- 2022
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Ingår i: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 81, s. 72-73
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Sjogren’s disease (SjD) is an autoimmune disease characterized by reduced function of exocrine glands (i.e., salivary and lacrimal glands). Epithelial cell damage resulting from lymphocytic infiltration has been implicated in SjD etiology [1]. How genetic and epigenetic changes influence epithelial-immune cell interactions in SjD pathogenesis remain understudied.ObjectivesEvaluate the role of SjD risk loci in salivary gland tissue to gain insights into the potential genes involved in salivary gland dysfunction.MethodsSNPs from 16 regions with SNP-SjD associations (P<5x10-8) in our GWAS study (3232 SjD cases) and meta-analysis of ImmunoChip data (619 SjD cases) [2] were interrogated for eQTLs using Genotype-Tissue Expression (GTEx) minor salivary gland data. Subsequent analysis identified genes that were both eQTLs in the minor salivary gland and significantly expressed in RNA-seq and ATAC-seq data from the submaxillary salivary gland epithelial cell line, A253. Pathway enrichment analysis was performed using gProfiler on the genes where coalescence of eQTL, RNA-seq, and ATAC-seq data was observed. To further validate the results, we performed transcriptome-wide association study (TWAS) analysis using GWAS summary statistics and minor salivary gland eQTL GTEx data.ResultsIn total, 5884 genome-wide significant SNPs from 16 SjD risk loci were identified as potential minor salivary gland eQTLs using two discovery thresholds: p(FDR)<0.05 provided by eQTL study (3566 SNPs) and p(FDR)>0.05 and p<0.05 in eQTL study (2318 SNPs). Further analysis revealed 10 SjD risk loci with SNPs that were minor salivary gland eQTLs for a total of 155 unique genes that had a coalescence of RNA- and ATAC-seq data in A253 cells. Many SNPs altered the expression of the nearest gene to the risk allele (i.e., index gene), such as IRF5 and TNPO3 on chromosome 7 at 128Mb; however, this locus had 12 additional genes that were eQTLs in minor salivary gland. In contrast, other loci had no reported eQTLs for the index gene, but several reported eQTLs for other genes, such TYK2 on chromosome 19 at 10Mb that showed no change in TYK2 expression but eQTLs for 8 distant genes, including ICAM1. Pathway enrichment analysis revealed an enrichment in Butyrophilin (BTN) family interactions (R-HSA-8851) (PAdj=1.564x10-5), including the BTN2A1, BTN2A2, BTN3A1, BTN3A2 and BTN3A3 gene cluster in the MHC region. In further support, TWAS of the minor salivary gland and the SjD GWAS summary statistics (after Bonferroni correction) showed association between SjD and BTN3A2 (p=1.24x10-42), as well as many other loci in the MHC region. In addition, several long non-coding (lnc) RNAs on chromosome 17 were significant, peaking at RP11-259G18.1 (p=4.43x10-10).ConclusionThis study shows that SjD-associated risk alleles influence disease by altering gene expression in immune cells and minor salivary glands. Further, our analysis suggests that altered gene expression in the minor salivary gland expands beyond effects on the index gene to several genes on each locus. Interestingly, we observed minor salivary gland eQTLs for several BTN family genes, which act as cell-surface binding partners to regulate cell-cell interactions, including interactions between epithelial cells and activated T cells [3]. Future work will assess chromatin-chromatin-interactions within the 10 SjD risk loci in salivary gland cells and tissues to map local chromatin regulatory networks that regulate gene expression. Additional transcriptional studies of SjD minor salivary gland tissues will provide further insights into how altered gene expression in the salivary gland influences SjD pathology.References[1]Verstappen. Nat Rev Rheumatol 2021;17(6):333-348.[2]Khatri, et al. Annals of Rheumatic Diseases 2020;79:30-31.[3]Arnett HA, Viney JL. Nature Reviews Immunology 2014;14:559-569.Disclosure of InterestsFarhang Aghakhanian: None declared, Mandi M Wiley: None declared, Bhuwan Khatri: None declared, Kandice L Tessneer: None declared, Astrid Rasmussen: None declared, Simon J. Bowman Consultant of: Abbvie, Galapagos, and Novartis in 2020-2021., Lida Radfar: None declared, Roald Omdal: None declared, Marie Wahren-Herlenius: None declared, Blake M Warner: None declared, Torsten Witte: None declared, Roland Jonsson: None declared, Maureen Rischmueller: None declared, Patrick M Gaffney: None declared, Judith A. James: None declared, Lars Ronnblom: None declared, R Hal Scofield: None declared, Xavier Mariette: None declared, Marta Alarcon-Riquelme: None declared, Wan Fai Ng: None declared, Kathy Sivils Employee of: Current employee of Janssen, Gunnel Nordmark: None declared, Umesh Deshmukh: None declared, A Darise Farris: None declared, Christopher Lessard: None declared
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| 7. |
- Ajeganova, S, et al.
(författare)
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HIGHER LEVELS OF NATURAL ANTI-PHOSPHORYLCHOLINE ANTIBODIES ARE ASSOCIATED WITH LOWER RISK OF INCIDENT CARDIOVASCULAR EVENTS IN YOUNGER PATIENTS WITH RHEUMATOID ARTHRITIS
- 2020
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Ingår i: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 79, s. 939-939
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- The increased cardiovascular (CV) risk in rheumatoid arthritis (RA), especially in seropositive RA, is not fully explained by traditional risk factors. Immuno-inflammatory mechanisms and autoantibodies could be involved in the pathogenesis of atherosclerotic disease. Recent studies have suggested that anti-phosporylcholine antibodies (anti-PC) of IgM subclass counteract the generation of senescent and IL-17+ T-cells, have atheroprotective effects and may play a role in formation and stabilization of atherosclerotic plaque.Objectives:To investigate the association between IgM anti-PC antibodies with cardiovascular (CV) morbidity in patients with RA in age and sex groups and by serostatus.Methods:The study population was derived from the BARFOT early RA cohort, recruited in 1994-1999. The outcome was CV events i.e. AMI, angina pectoris, coronary intervention, ischemic stroke and TIA tracked through the Swedish Hospital Discharge and the National Cause of Death Registries. The RA-disease measures and traditional risk factors were assessed according to the protocol. Sera collected at inclusion and the 2-year visit were analyzed with ELISA to determine levels of anti-PC IgM (Athera CVDefine kit, Athera Biotechnologies AB). The Kaplan-Meier estimates and Cox proportional-hazards regression models were applied. Analysis were stratified by median level of IgM anti-PC and performed within strata of age, sex and RA-autoantibodies.Results:In all, 654 patients with early RA, 68% women, mean (SD) age 55(14.7) years, DAS28 5.2(1.3), 60% RF-positive and 60% ACPA-positive without prevalent CVD were included in this analysis. The level of IgM anti-PC at baseline was median (IQR) of 60.9(36.4-94.9) and at 2 years 56.0(32.3-84.2) U/ml. During follow-up of > 10 years, 141 incident CV events (21.6%) were registered. The levels of anti-PC both at inclusion and after 2 years of observation were lower in participants who experienced CV event than in those who did not, p=0.020 and p=0.012.The CV event-free survival differed between patients with levels of anti-PC above median compared with those with levels below, p=0.003 by log-rank test. The risk for incident CV event showed a 0.6-fold hazard (95% CI, 0.4-0.8) among patients with higher anti-PC levels as compared with those with lower levels, p=0.003. In the age groups, the risk for incident CV event was lower in patients aged <55 years at inclusion than in those who were older, hazard ratio (HR) 0.40 (0.17-0.94), p=0.036. This result persisted when adjusted for sex and all traditional risk factors, HR 0.36 (0.14-0.92), p=0.032. Also, the risk for incident CV events was lower in patients with higher anti-PC levels in females, HR 0.61 (0-39-0.45), and double RF- and ACPA- negative patients, 0.44 (0.21-0.90), in crude analyses.The favourable effect of anti-PC at baseline and the CV outcome was not observed in ages >55 years, males, ACPA+ and RF+ patients. There were no significant association between anti-PC level at 2 years and outcome.Conclusion:These results suggest that higher levels of IgM anti-PC are associated with a lower risk of incident CV events over 10 years in younger patients. The favourable atheroprotective effect of IgM anti-PC may be a part of explanation of lower risk of atherosclerotic disease in younger persons, females and in those with seronegative RA.Acknowledgments :6th Framework Program of the European Union (grant LSHM-CT-2006-037227 CVDIMMUNE)Disclosure of Interests:Sofia Ajeganova: None declared, Maria Andersson: None declared, Johan Frostegård Grant/research support from: Unconditional competitive grant from Amgen, related only to PCSK9, not the topic of this abstract, Ingiäld Hafström: None declared
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| 8. |
- Ajeganova, S, et al.
(författare)
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TEAM-REHABILITATION BENEFITS BODY COMPOSITION AND FUNCTIONAL OUTCOME BEYOND TIME OF THE REHABILITATION PERIOD IN INFLAMMATORY ARTHRITIS, OF WHICH BODY COMPOSITION IS LINKED TO CHANGE IN LEVEL OF CARDIORESPIRATORY FITNESS, WHEREAS MUSCLE MASS AND STRENGTH ARE LINKED TO PHYSICAL FUNCTIONING
- 2020
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Ingår i: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 79, s. 1262-1263
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Low physical activity, accumulated disability and disease chronicity contribute to adverse body composition and reduced cardiorespiratory fitness in patients with chronic inflammatory diseases. In the general population, physical exercise improves body composition, muscle strength and aerobic capacity but in inflammatory diseases it is not well established.Objectives:To investigate whether 1) exercise intervention in patients with arthritis affects body composition, physical and aerobic capacity, and whether 2) body composition and physical capacity could explain outcomes as HAQ and aerobic capacity.Methods:Consecutive patients with inflammatory arthritis and a clinical need for rehabilitation, ages 18-80 years, participated in a team-rehabilitation program for 4 weeks. Anthropometry, body composition assessed with bioelectrical impedance analysis, muscle force with hand grip strength and Times sit-to-stand test (TST), activity limitation with the HAQ score and cardiorespiratory fitness with the Åstrand 6-minute cycle test for VO2 max were measured pre-rehabilitation and after 3 and 12 months. The ANOVA model with Bonferroni correction, adjusted for age, sex and baseline measures, was used for the pairwise comparisons of repeated measures overtime. Association between body composition, physical functioning, and the course of HAQ and cardiorespiratory fitness for 12 months was determined with linear mixed models adjusted for age, gender and comorbidity.Results:The study evaluated 149 patients with rheumatoid arthritis (RA), psoriasis arthritis, spondylarthritis and juvenile idiopathic arthritis, aged mean (SD) 53(13) years, 74% women, disease duration 21(13) years, HAQ 1.1(0.6) at inclusion and DAS28 4.1(1.3) for those with RA.There was a statistically significant reduction of BMI between pre-rehabilitation and after 3 months, reduction of waist circumference, body fat, fat mass and the fat mass index after 3 and 12 months, adjusted p<0.05. The muscle mass of total body, arms and legs did not change significantly post-rehabilitation compared to pre-rehabilitation. Hand grip strength and TST improved together with reduction of HAQ and increased VO2 max after 3 and 12 months, adjusted p<0.05 adjusted for age, sex and baseline measures.The HAQ overtime was independently associated with total body muscle mass, legs muscle mass, hand grip strength, and TST pre-rehabilitation, but not to the change of body composition overtime.The course of VO2 max overtime was independently associated with pre-rehabilitation BMI, waist circumference, muscle mass of total body, arms and legs, fat mass, body fat, the fat mass index and TST, as well as with change of BMI, waist circumference, fat mass and the fat mass index between pre-rehabilitation and after 3 and 12 months.Conclusion:We observed benefits of intervention with a team-rehabilitation program for 4 weeks on body composition profile, functioning, physical limitation and cardiorespiratory fitness, which were presented beyond the time of the rehabilitation period for up to 12 months. Different aspects of body composition and physical capacity were associated with levels of disability measured with HAQ and with cardiorespiratory fitness. This study indicates that in patients with inflammatory arthritis, muscle mass and strength were linked to HAQ over time, whereas the measures of body composition could be more linked to cardiorespiratory fitness than to HAQ.Disclosure of Interests:None declared
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| 9. |
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| 10. |
- Almeida-Brasil, Celline C., et al.
(författare)
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Flares after hydroxychloroquine reduction or discontinuation : results from the Systemic Lupus International Collaborating Clinics (SLICC) inception cohort
- 2022
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Ingår i: Annals of the Rheumatic Diseases. - : BMJ. - 1468-2060 .- 0003-4967. ; 81:3, s. 370-378
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVES: To evaluate systemic lupus erythematosus (SLE) flares following hydroxychloroquine (HCQ) reduction or discontinuation versus HCQ maintenance. METHODS: We analysed prospective data from the Systemic Lupus International Collaborating Clinics (SLICC) cohort, enrolled from 33 sites within 15 months of SLE diagnosis and followed annually (1999-2019). We evaluated person-time contributed while on the initial HCQ dose ('maintenance'), comparing this with person-time contributed after a first dose reduction, and after a first HCQ discontinuation. We estimated time to first flare, defined as either subsequent need for therapy augmentation, increase of ≥4 points in the SLE Disease Activity Index-2000, or hospitalisation for SLE. We estimated adjusted HRs (aHRs) with 95% CIs associated with reducing/discontinuing HCQ (vs maintenance). We also conducted separate multivariable hazard regressions in each HCQ subcohort to identify factors associated with flare. RESULTS: We studied 1460 (90% female) patients initiating HCQ. aHRs for first SLE flare were 1.20 (95% CI 1.04 to 1.38) and 1.56 (95% CI 1.31 to 1.86) for the HCQ reduction and discontinuation groups, respectively, versus HCQ maintenance. Patients with low educational level were at particular risk of flaring after HCQ discontinuation (aHR 1.43, 95% CI 1.09 to 1.87). Prednisone use at time-zero was associated with over 1.5-fold increase in flare risk in all HCQ subcohorts. CONCLUSIONS: SLE flare risk was higher after HCQ taper/discontinuation versus HCQ maintenance. Decisions to maintain, reduce or stop HCQ may affect specific subgroups differently, including those on prednisone and/or with low education. Further study of special groups (eg, seniors) may be helpful.
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