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- Lindström, Ulf, et al.
(author)
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Effectiveness and treatment retention of TNF inhibitors when used as monotherapy versus comedication with csDMARDs in 15 332 patients with psoriatic arthritis. Data from the EuroSpA collaboration
- 2021
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In: Annals of the Rheumatic Diseases. - : BMJ. - 0003-4967 .- 1468-2060. ; 80, s. 1410-1418
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Journal article (peer-reviewed)abstract
- Background: Comedication with conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) during treatment with tumour necrosis factor inhibitors (TNFi) is extensively used in psoriatic arthritis (PsA), although the additive benefit remains unclear. We aimed to compare treatment outcomes in patients with PsA treated with TNFi and csDMARD comedication versus TNFi monotherapy. Methods: Patients with PsA from 13 European countries who initiated a first TNFi in 2006-2017 were included. Country-specific comparisons of 1 year TNFi retention were performed by csDMARD comedication status, together with HRs for TNFi discontinuation (comedication vs monotherapy), adjusted for age, sex, calendar year, disease duration and Disease Activity Score with 28 joints (DAS28). Adjusted ORs of clinical remission (based on DAS28) at 12 months were calculated. Between-country heterogeneity was assessed using random-effect meta-analyses, combined results were presented when heterogeneity was not significant. Secondary analyses stratified according to TNFi subtype (adalimumab/infliximab/etanercept) and restricted to methotrexate as comedication were performed. Results: In total, 15 332 patients were included (62% comedication, 38% monotherapy). TNFi retention varied across countries, with significant heterogeneity precluding a combined estimate. Comedication was associated with better remission rates, pooled OR 1.25 (1.12-1.41). Methotrexate comedication was associated with improved remission for adalimumab (OR 1.45 (1.23-1.72)) and infliximab (OR 1.55 (1.21-1.98)) and improved retention for infliximab. No effect of comedication was demonstrated for etanercept. Conclusion: This large observational study suggests that, as used in clinical practice, csDMARD and TNFi comedication are associated with improved remission rates, and specifically, comedication with methotrexate increases remission rates for both adalimumab and infliximab. © Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.
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- Nissen, M., et al.
(author)
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The impact of a csDMARD in combination with a TNF inhibitor on drug retention and clinical remission in axial spondylarthritis
- 2022
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In: Rheumatology. - : Oxford University Press (OUP). - 1462-0324 .- 1462-0332. ; 61:12, s. 4741-4751
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Journal article (peer-reviewed)abstract
- Objectives Many axial spondylarthritis (axSpA) patients receive a conventional synthetic DMARD (csDMARD) in combination with a TNF inhibitor (TNFi). However, the value of this co-therapy remains unclear. The objectives were to describe the characteristics of axSpA patients initiating a first TNFi as monotherapy compared with co-therapy with csDMARD, to compare one-year TNFi retention and remission rates, and to explore the impact of peripheral arthritis. Methods Data was collected from 13 European registries. One-year outcomes included TNFi retention and hazard ratios (HR) for discontinuation with 95% CIs. Logistic regression was performed with adjusted odds ratios (OR) of achieving remission (Ankylosing Spondylitis Disease Activity Score (ASDAS)-CRP < 1.3 and/or BASDAI < 2) and stratified by treatment. Inter-registry heterogeneity was assessed using random-effect meta-analyses, combined results were presented when heterogeneity was not significant. Peripheral arthritis was defined as >= 1 swollen joint at baseline (=TNFi start). Results Amongst 24 171 axSpA patients, 32% received csDMARD co-therapy (range across countries: 13.5% to 71.2%). The co-therapy group had more baseline peripheral arthritis and higher CRP than the monotherapy group. One-year TNFi-retention rates (95% CI): 79% (78, 79%) for TNFi monotherapy vs 82% (81, 83%) with co-therapy (P < 0.001). Remission was obtained in 20% on monotherapy and 22% on co-therapy (P < 0.001); adjusted OR of 1.16 (1.07, 1.25). Remission rates at 12 months were similar in patients with/without peripheral arthritis. Conclusion This large European study of axial SpA patients showed similar one-year treatment outcomes for TNFi monotherapy and csDMARD co-therapy, although considerable heterogeneity across countries limited the identification of certain subgroups (e.g. peripheral arthritis) that may benefit from co-therapy.
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- Saevarsdottir, S., et al.
(author)
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Multiomics analysis of rheumatoid arthritis yields sequence variants that have large effects on risk of the seropositive subset
- 2022
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In: Annals of the Rheumatic Diseases. - : BMJ. - 0003-4967 .- 1468-2060. ; 81:8
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Journal article (peer-reviewed)abstract
- 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.
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- Christiansen, SN, et al.
(author)
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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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In: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 80, s. 131-132
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Conference paper (other academic/artistic)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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- Georgiadis, S, et al.
(author)
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CAN SINGLE IMPUTATION TECHNIQUES FOR BASDAI COMPONENTS RELIABLY CALCULATE THE COMPOSITE SCORE IN AXIAL SPONDYLOARTHRITIS PATIENTS?
- 2022
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In: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 81, s. 212-213
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Conference paper (other academic/artistic)abstract
- In axial spondyloarthritis (axSpA), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) is a key patient-reported outcome. However, one or more of its components may be missing when recorded in clinical practice.ObjectivesTo determine whether an individual patient’s BASDAI at a given timepoint can be reliably calculated with different single imputation techniques and to explore the impact of the number of missing components and/or differences between missingness of individual components.MethodsReal-life data from axSpA patients receiving tumour necrosis factor inhibitors (TNFi) from 13 countries in the European Spondyloarthritis (EuroSpA) Research Collaboration Network were utilized [1]. We studied missingness in BASDAI components based on simulations in a complete dataset, where we applied and expanded the approach of Ramiro et al. [2]. After introducing one or more missing components completely at random, BASDAI was calculated from the available components and with three different single imputation techniques: possible middle value (i.e. 50) of the component and mean and median of the available components. Differences between the observed (original) and calculated scores were assessed and correct classification of patients as having BASDAI<40 mm was additionally evaluated. For the setting with one missing component, differences arising between missing one of components 1-4 versus 5-6 were explored. Finally, the performance of imputations in relation to the values of the original score was investigated.ResultsA total of 19,894 axSpA patients with at least one complete BASDAI registration at any timepoint were included. 59,126 complete BASDAI registrations were utilized for the analyses with a mean BASDAI of 38.5 (standard deviation 25.9). Calculating BASDAI from the available components and imputing with mean or median showed similar levels of agreement (Table 1). When allowing one missing component, >90% had a difference of ≤6.9 mm between the original and calculated scores and >95% were correctly classified as BASDAI<40 (Table 1). However, separate analyses of components 1-4 and 5-6 as a function of the BASDAI score suggested that imputing any one of the first four BASDAI components resulted in a level of agreement <90% for specific BASDAI values while imputing one of the stiffness components 5-6 always reached a level of agreement >90% (Figure 1, upper panels). As expected, it was observed that regardless of the BASDAI component set to missing and the imputation technique used, correct classification of patients as BASDAI<40 was less than 95% for values around the cutoff (Figure 1, lower panels).Table 1.Level of agreement between the original and calculated BASDAI and correct classification for BASDAI<40 mmLevel of agreement with Dif≤6.9 mm* (%)Correct classification for BASDAI<40 mm** (%)1 missing componentAvailable93.996.9Value 5073.996.3Mean94.296.8Median93.196.82 missing componentsAvailable83.794.8Value 5040.792.8Mean83.594.8Median82.894.73 missing componentsAvailable71.992.6Value 5028.187.3Mean72.292.6Median69.792.2* The levels of agreement with a difference (Dif) of ≤6.9 mm between the original and calculated scores were based on the half of the smallest detectable change. Agreement of >90% was considered as acceptable. ** Correct classification of >95% was considered as acceptable.Figure 1.Level of agreement between the original and calculated BASDAI and correct classification for BASDAI<40 mm as a function of the original scoreConclusionBASDAI calculation with available components gave similar results to single imputation of missing components with mean or median. Only when missing one of BASDAI components 5 or 6, single imputation techniques can reliably calculate individual BASDAI scores. However, missing any single component value results in misclassification of patients with original BASDAI scores close to 40.References[1]Ørnbjerg et al. (2019). Ann Rheum Dis, 78(11), 1536-1544.[2]Ramiro et al. (2014). Rheumatology, 53(2), 374-376.AcknowledgementsNovartis Pharma AG and IQVIA for supporting the EuroSpA collaboration.Disclosure of InterestsStylianos Georgiadis Grant/research support from: Novartis, Myriam Riek Grant/research support from: Novartis, Christos Polysopoulos Grant/research support from: Novartis, Almut Scherer Grant/research support from: Novartis, Daniela Di Giuseppe: None declared, Gareth T. Jones Speakers bureau: Janssen, Grant/research support from: AbbVie, Pfizer, UCB, Amgen, GSK, Merete Lund Hetland Grant/research support from: Abbvie, Biogen, BMS, Celltrion, Eli Lilly, Janssen Biologics B.V, Lundbeck Fonden, MSD, Medac, Pfizer, Roche, Samsung Biopies, Sandoz, Novartis, Mikkel Østergaard Speakers bureau: Abbvie, BMS, Boehringer-Ingelheim, Celgene, Eli-Lilly, Hospira, Janssen, Merck, Novartis, Novo, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi, UCB, Consultant of: Abbvie, BMS, Boehringer-Ingelheim, Celgene, Eli-Lilly, Hospira, Janssen, Merck, Novartis, Novo, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi, UCB, Grant/research support from: Abbvie, BMS, Merck, Celgene, Novartis, Simon Horskjær Rasmussen Grant/research support from: Novartis, Johan K Wallman Consultant of: AbbVie, Amgen, Celgene, Eli Lilly, Novartis, Bente Glintborg Grant/research support from: Pfizer, Abbvie, BMS, Anne Gitte Loft Speakers bureau: AbbVie, Janssen, Lilly, MSD, Novartis, Pfizer, Roche, UCB, Consultant of: AbbVie, Janssen, Lilly, MSD, Novartis, Pfizer, Roche, UCB, Karel Pavelka Speakers bureau: Pfizer, MSD, BMS, UCB, Amgen, Egis, Roche, AbbVie, Consultant of: Pfizer, MSD, BMS, UCB, Amgen, Egis, Roche, AbbVie, Jakub Zavada Speakers bureau: Abbvie, Elli-Lilly, Sandoz, Novartis, Egis, UCB, Consultant of: Abbvie, Elli-Lilly, Sandoz, Novartis, Egis, UCB, Merih Birlik: None declared, Ayten Yazici Grant/research support from: Roche, Brigitte Michelsen Grant/research support from: Novartis, Eirik kristianslund: None declared, Adrian Ciurea Speakers bureau: AbbVie, Eli Lilly, Merck Sharp & Dohme, Novartis, Pfizer, Consultant of: AbbVie, Eli Lilly, Merck Sharp & Dohme, Novartis, Pfizer, Michael J. Nissen Speakers bureau: AbbVie, Eli Lilly, Janssens, Novartis, Pfizer, Consultant of: AbbVie, Eli Lilly, Janssens, Novartis, Pfizer, Ana Maria Rodrigues Speakers bureau: Abbvie, Amgen, Consultant of: Abbvie, Amgen, Grant/research support from: Novartis, Pfizer, Amgen, Maria Jose Santos Speakers bureau: Abbvie, AstraZeneca, Lilly, Novartis, Pfizer, Gary Macfarlane Grant/research support from: GSK, Anna-Mari Hokkanen Grant/research support from: MSD, Heikki Relas Speakers bureau: Abbvie, Celgene, Pfizer, UCB, Viatris, Consultant of: Abbvie, Celgene, Pfizer, UCB, Viatris, Catalin Codreanu Speakers bureau: AbbVie, Amgen, Boehringer Ingelheim, Ewopharma, Lilly, Novartis, Pfizer, Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Ewopharma, Lilly, Novartis, Pfizer, Corina Mogosan: None declared, Ziga Rotar Speakers bureau: Abbvie, Novartis, MSD, Medis, Biogen, Eli Lilly, Pfizer, Sanofi, Lek, Janssen, Consultant of: Abbvie, Novartis, MSD, Medis, Biogen, Eli Lilly, Pfizer, Sanofi, Lek, Janssen, Matija Tomsic Speakers bureau: Abbvie, Amgen, Biogen, Eli Lilly, Janssen, Medis, MSD, Novartis, Pfizer, Sanofi, Sandoz-Lek, Consultant of: Abbvie, Amgen, Biogen, Eli Lilly, Janssen, Medis, MSD, Novartis, Pfizer, Sanofi, Sandoz-Lek, Björn Gudbjornsson Speakers bureau: Amgen, Novartis, Consultant of: Amgen, Novartis, Arni Jon Geirsson: None declared, Pasoon Hellamand Grant/research support from: Novartis, Marleen G.H. van de Sande Speakers bureau: Eli Lilly, Novartis, UCB, Janssen, Abbvie, Consultant of: Eli Lilly, Novartis, UCB, Janssen, Abbvie, Grant/research support from: Eli Lilly, Novartis, UCB, Janssen, Abbvie, Isabel Castrejon: None declared, Manuel Pombo-Suarez Consultant of: Abbvie, MSD, Roche, Bruno Frediani: None declared, Florenzo Iannone Speakers bureau: Abbvie, Amgen, AstraZeneca, BMS, Galapagos, Janssen, Lilly, MSD, Novartis, Pfizer, Roche, UCB, Consultant of: Abbvie, Amgen, AstraZeneca, BMS, Galapagos, Janssen, Lilly, MSD, Novartis, Pfizer, Roche, UCB, Lykke Midtbøll Ørnbjerg Grant/research support from: Novartis
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- Linde, L., et al.
(author)
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Predictors of DAPSA28 remission in patients with psoriatic arthritis initiating a first TNF inhibitor: results from 13 European registries
- 2024
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In: Rheumatology. - 1462-0324. ; 63:3, s. 751-764
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Journal article (peer-reviewed)abstract
- Objectives In bio-naive patients with PsA initiating a TNF inhibitor (TNFi), we aimed to identify baseline predictors of Disease Activity index for PsA in 28 joints (DAPSA28) remission (primary objective) and DAPSA28 moderate response at 6 months, as well as drug retention at 12 months across 13 European registries. Methods Baseline demographic and clinical characteristics were retrieved and the three outcomes investigated per registry and in pooled data, using logistic regression analyses on multiply imputed data. In the pooled cohort, selected predictors that were either consistently positive or negative across all three outcomes were defined as common predictors. Results In the pooled cohort (n = 13 369), 6-month proportions of remission, moderate response and 12-month drug retention were 25%, 34% and 63% in patients with available data (n = 6954, n = 5275 and n = 13 369, respectively). Five common baseline predictors of remission, moderate response and 12-month drug retention were identified across all three outcomes. The odds ratios (95% CIs) for DAPSA28 remission were: age, per year: 0.97 (0.96-0.98); disease duration, years (<2 years as reference): 2-3 years: 1.20 (0.89-1.60), 4-9 years: 1.42 (1.09-1.84), & GE;10 years: 1.66 (1.26-2.20); men vs women: 1.85 (1.54-2.23); CRP of >10 vs & LE;10 mg/l: 1.52 (1.22-1.89) and 1 mm increase in patient fatigue score: 0.99 (0.98-0.99). Conclusion Baseline predictors of remission, response and adherence to TNFi therapy were identified, of which five were common for all three outcomes, indicating that the predictors emerging from our pooled cohort may be considered generalizable from country level to disease level.
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- Delcoigne, B., et al.
(author)
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SHORT- AND LONGER-TERM RISKS FOR ACUTE CORONARY SYNDROME IN PATIENTS WITH RHEUMATOID ARTHRITIS STARTING TREATMENT WITH DISEASE-MODIFYING ANTI-RHEUMATIC DRUGS : A COLLABORATIVE OBSERVATIONAL HEAD-TO-HEAD STUDY ACROSS FIVE NORDIC RHEUMATOLOGY REGISTERS
- 2021
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In: Annals of the Rheumatic Diseases. - : BMJ Publishing Group Ltd. - 0003-4967 .- 1468-2060. ; 80, s. 63-64
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Journal article (other academic/artistic)abstract
- Rheumatoid Arthritis (RA) is associated with increased cardiovascular co-morbidity including acute coronary syndrome (ACS), partly due to effects of systemic inflammation. Disease-modifying anti-rheumatic drugs (DMARDs) may reduce RA disease activity, but act through several pathways and may themselves have an impact on cardiovascular risks. Whether the risks of ACS associated with biologic (b) and targeted synthetic (ts) DMARDs differ is still unknown.Objectives:To assess and compare incidences of ACS during treatment of RA with etanercept (ETA), adalimumab (ADA), infliximab (INF), certolizumab pegol (CTZ), golimumab (GOL), rituximab (RIT), abatacept (ABA), tocilizumab (TCZ), baricitinib (BAR) or tofacitinib (TOF).Methods:We defined and pooled treatment cohorts of patients starting any of the above treatments between 2008 and 2017 from clinical rheumatology registers in Denmark (DK), Finland (FI), Norway (NO), and Sweden (SE). One patient could contribute several treatment episodes. Age, sex, co-medication (methotrexate, prednisolone), number of previous b/tsDMARDs, CRP, comorbidities (cardiovascular (including ACS (defined as ICD-10: I20.0, I21.0-4, I21.9) and cerebrovascular disease, thromboembolic events, diabetes, hospitalized infection, cancer, kidney failure, COPD) and associated drugs were extracted and used as adjustment in Cox regression analyses comparing the incidence of ACS between treatments. We used several follow-up lengths (1, 2, and up to 5 years) and two different risk windows (ACS on drug [ending follow-up on treatment discontinuation] and ACS ever since treatment start [disregarding any treatment discontinuation]). We also stratified by age and number of previous b/tsDMARDs.Results:We included 40850 treatment courses in 24083 patients (DK 7271, FI 3732, NO 1540, and SE 11540; around 75% women). ETA was the most common treatment (27%) whereas BAR and TOF comprised <1%, and the other DMARDs 6-14% each. The proportions with a history of ACS at treatment start ranged from 1.2% (NO) to 1.8% (DK).We found 780 incident ACS events during 141 326 person-years (pyrs) in the 5-year follow-up time and “ACS ever since treatment start” risk window, resulting in a crude incidence rate of 5.5 events per 1000 pyrs. No event was recorded for BAR nor TOF, which also had the shortest follow-up. Adjusted hazard ratios (HR) increased slightly with longer follow-up times, but the two risk windows provided similar HRs. For the 5-year follow-up, RIT was associated with an increased risk of ACS compared to ETA (Table), while no association was observed for shorter follow-up times. Stratifying on age did not modify the associations. Separate analyses by number of previous b/tsDMARDs suggested that ABA (HR=1.8, 95% CI 1.0-3.3), INF (HR=2.2, 95% CI 1.0-4.6) and RIT (HR=1.9, 95% CI 1.1-3.4) were associated with increased risks of ACS compared to ETA in the subgroup of patients with two or more previous bDMARDs (Figure), whereas no differences were found among patients starting either drug as 1st/2nd bDMARD.Table 1.Comparisons of risks for ACS during a 5-year follow-up since start of bDMARD treatment.DrugN eventspyrsCrude incidence rate/ 1000 pyrsHR (95% CI)1ETA175359174.9ref.ADA115240934.81.0 (0.8-1.3)CTZ54141583.80.9 (0.6-1.2)GOL4090064.41.1 (0.8-1.5)INF106178036.01.2 (0.9-1.5)ABA70107956.51.1 (0.8-1.4)RIT158166229.51.3 (1.0-1.6)TCZ62128664.80.9 (0.5-1.2)BAR036TOF030Pyrs: person-years; HR: hazards ratio1 adjustment: see text.Conclusion:In this cohort including ≥ 24,000 patients followed for up to 5 years, the ACS incidence rate was 5.5/1000 pyrs, with RIT showing an increased risk compared to ETA. In clinical practice, the choice of bDMARD does not seem to influence ACS risk in the short term. In the longer term, differences in ACS risk between bDMARDs may reflect channeling to these, or truly differential effects in subpopulations of patients.Acknowledgements:Partly funded by Nordforsk and ForeumDisclosure of Interests:Bénédicte Delcoigne: None declared, Lotta Ljung: None declared, Sella Aa. Provan Speakers bureau: Novartis, Consultant of: Novartis, Grant/research support from: Boehringer- Ingelheim, Bente Glintborg Grant/research support from: Pfizer, BMS, AbbVie, Kathrine Lederballe Gron Grant/research support from: BMS, Merete L. Hetland Consultant of: Abbvie, Biogen, BMS, Celltrion, Eli Lilly, Janssen Biologics B.V, Lundbeck Fonden, MSD, Pfizer, Roche, Samsung Biopies, Sandoz, Novartis, Grant/research support from: Abbvie, Biogen, BMS, Celltrion, Eli Lilly, Janssen Biologics B.V, Lundbeck Fonden, MSD, Pfizer, Roche, Samsung Biopies, Sandoz, Novartis, Niels Steen Krogh: None declared, Nina Trokovic: None declared, Heikki Relas Speakers bureau: Abbvie, Celgene, Pfizer, Grant/research support from: Abbvie, Celgene, Pfizer, Carl Turesson Speakers bureau: Abbvie, Bristol-Myers Squibb, Medac, Pfizer, Roche, Consultant of: Roche, Brigitte Michelsen Consultant of: Novartis (paid to employer), Grant/research support from: Novartis (paid to employer), Johan Askling Consultant of: Abbvie, Astra-Zeneca, BMS, Eli Lilly, MSD, Pfizer, Roche, Samsung Bioepis, Sanofi, and UCB. These entities have entered into agreements with Karolinska Institutet with JA as principal investigator, mainly in the context of safety monitoring of biologics via the ARTIS national safety monitoring system.
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16. |
- Di Giuseppe, D, et al.
(author)
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BIOLOGIC REFRACTORY DISEASE IN AXIAL SPONDYLOARTHRITIS - DEFINITION, PREVALENCE AND PATIENT CHARACTERISTICS. A COLLABORATION BETWEEN FIVE NORDIC BIOLOGIC REGISTRIES
- 2021
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In: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 80, s. 82-83
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Conference paper (other academic/artistic)abstract
- In clinical practice, some patients with axial spondyloarthritis (axSpA) fail several consecutive biological treatments (bDMARDs). How this group of ”refractory” patients should best be defined, how common they are, and what their characteristics are, is poorly understood.Objectives:To explore the point prevalence of bDMARD refractory disease in axSpA over time, according to different definitions, and to describe the characteristics of refractory vs. not-refractory patients upon start of their first bDMARD.Methods:Observational prospective cohort study. Patients with axSpA (ankylosing spondylitis/non-radiographic axial SpA) starting a first bDMARD 2009-2018 were identified in biologic registries in Denmark, Sweden, Finland, Norway and Iceland. Clinical characteristics and treatments were retrieved, and data were pooled for analysis.Refractory disease was defined based on the number of different bDMARD treatments started in individual patients: mild (≥3 bDMARDs), moderate (≥4), and strict (5 or more). Restart of same bDMARD with another bDMARD in between counted as separate courses whereas switch from originator to corresponding biosimilar was ignored.Proportions of patients fulfilling each definition of refractory disease at 2 and 5 years after the start of 1st bDMARD were calculated.Point-prevalence per calendar-year was calculated as the number of patients with refractory disease at the end of each year, divided by the total number of patients ever having starting a first bDMARD before that time-point, and who were still alive and resident in the country.Results:The point prevalence of refractory axSpA increased with calendar-time (Figure). Among 12,037 included axSpA patients (64% male), the point-prevalence of bDMARD refractory disease in 2018 was 16%/7%/3% according to mild/moderate/strict definitions (Table).Table 1.Biologic refractory axSpA according to three definitionsA.Baseline characteristics upon start 1st bDMARDRefractory definitionOverall cohortMILDMODERATESTRICTN120371969832351Age, years42 (13)41 (12)41 (12)41 (12)Male, %64%57%54%56%Disease duration, years7 (10)6 (9)6 (8)5 (8)BASDAI, 0-10053 (28)60 (29)63 (27)66 (35)ASDAS3.3 (1.1)3.5 (1.2)3.6 (1.0)3.7 (1.1)CRP, mg/L16 (23)18 (26)21 (28)23 (32)Patient global, VAS, 0-10059 (25)65 (22)66 (22)67 (23)Patient Pain, VAS, 0-10057 (24)62 (22)63 (22)63 (22)Fatigue, VAS, 0-10059 (27)66 (26)66 (26)68 (25)B.Proportions of patients having refractory disease 2 and 5 years after start of their first bDMARD2 years, %5%1%0%5 years, %13%4%1%Numbers are means (SD) unless otherwise statedUpon start of their 1st bDMARD, patients later fulfilling the definitions for refractory axSpA were more frequently women, had shorter disease duration, higher C-reactive protein and higher patient reported outcomes.Overall, 5%/1%/0% had mild/moderate/strict refractory disease 2 years after start of first bDMARD, after 5 years it was 13%/4%/1% (Table).Conclusion:In this large Nordic observational cohort of axSpA patients treated in routine care, we could demonstrate that a substantial proportion of all patients had used multiple bDMARDs. In 2018, one in six patients had received ≥3 bDMARDs, indicating a bDMARD refractory disease. Multiple switching was more frequent during later years, probably due to more bDMARDs becoming available. The characteristics of refractory axSpA, including sex and disease activity, will have to be further explored, as will the impact of refractory disease on long-term outcomes.Acknowledgements:the DANBIO, SRQ, ICEBIO, ROB-FIN and NOR-DMARD registries.Partly sponsored by Nordforsk and Foreum.Disclosure of Interests:Daniela Di Giuseppe: None declared, Ulf Lindström: None declared, Kalle Aaltonen: None declared, Heikki Relas Speakers bureau: Abbvie, Celgene, MSD, Roche, Sella Aarrestad Provan: None declared, Björn Gudbjornsson Speakers bureau: Amgen and Novartis, Merete L. Hetland Grant/research support from: AbbVie, Biogen, BMS, Celtrion, Eli Lilly Denmark A/S, Janssen Biologics B.V, Lundbeck Fonden, MSD, Pfizer, Roche, Samsung Biopis, Sandoz. MLH chairs the steering committee of the Danish Rheumatology Quality Registry (DANBIO), which receives public funding from the hospital owners and funding from pharmaceutical companies. MLH co-chairs the EuroSpA research collaboration, which generates real-world evidence of treatment of psoriatic arthritis and axial spondyloarthritis based on secondary use of quality data and is partly funded by Novartis., Johan Askling: None declared, Tanja Schjødt Jørgensen: None declared, Lene Dreyer Speakers bureau: Eli-Lilly and Galderma, Grant/research support from: BMS, Dan Nordström: None declared, Brigitte Michelsen: None declared, Arni Jon Geirsson: None declared, Lennart T.H. Jacobsson: None declared, Bente Glintborg Grant/research support from: Abbvie, BMS, Pfizer, Lundbeck foundation
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17. |
- Di Giuseppe, D., et al.
(author)
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The occurrence of multiple treatment switches in axial spondyloarthritis. Results from five Nordic rheumatology registries
- 2022
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In: Rheumatology. - : Oxford University Press (OUP). - 1462-0324 .- 1462-0332. ; 61:9, s. 3647-3656
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Journal article (peer-reviewed)abstract
- Objectives In axial spondyloarthritis (axSpA), switching between multiple biologic or targeted synthetic (b/ts-) DMARDs might indicate difficult-to-treat disease. We aimed to explore the occurrence of multiple switching in routine care axSpA patients using various definitions, and to identify associated clinical characteristics upon start of first b/tsDMARD (baseline). Methods Observational cohort study including patients with axSpA starting a first-ever b/tsDMARD 2009-2018 based on data from five biologic registries (Denmark/Sweden/Finland/Norway/Iceland). Comorbidities and extra-articular manifestations were identified through linkage to national registries. Multi-switching was defined in overlapping categories according to b/tsDMARD treatment history: treatment with >= 3, >= 4 or >= 5 b/tsDMARDs during follow-up. We explored the cumulative incidence of patients becoming multi-switchers with >= 3 b/tsDMARDs stratified by calendar-period (2009-2011, 2012-2013, 2014-2015, 2016-2018). In the subgroup of patients starting a first b/tsDMARD 2009-2015, baseline characteristics associated with multi-switching (within 3 years' follow-up) were explored using multiple logistic regression analyses. Results Among 8398 patients included, 6056 patients (63% male, median age 42 years) started a first b/tsDMARD in 2009-2015, whereof proportions treated with >= 3, >= 4 or >= 5 b/tsDMARDs within 3 years' follow-up were 8%, 3% and 1%, respectively. Calendar-period did not affect the cumulative incidence of multi-switching. Baseline characteristics associated with multi-switching (>= 3 b/tsDMARDs) were female gender, shorter disease duration, higher patient global score, comorbidities and having psoriasis but not uveitis. Conclusion In this large Nordic observational cohort of axSpA patients, multiple switching was frequent with no apparent time-trend. Clinical associated factors included gender, but also previous comorbidities and extra-articular manifestations illustrating the ongoing challenge of treating this patient group.
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18. |
- Glintborg, B., et al.
(author)
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Is the risk of infection higher during treatment with secukinumab than with TNF inhibitors? An observational study from the Nordic countries
- 2023
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In: Rheumatology. - : Oxford University Press (OUP). - 1462-0324 .- 1462-0332. ; 62:2, s. 647-658
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Journal article (peer-reviewed)abstract
- 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% bionaive) and 1948 with secukinumab (11% bionaive). 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.
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19. |
- Glintborg, B., et al.
(author)
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One-Year Treatment Outcomes of Secukinumab Versus Tumor Necrosis Factor Inhibitors in Spondyloarthritis: Results From Five Nordic Biologic Registries Including More Than 10,000 Treatment Courses
- 2022
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In: Arthritis Care & Research. - : Wiley. - 2151-464X .- 2151-4658. ; 74:5, s. 748-758
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Journal article (peer-reviewed)abstract
- Objective To describe baseline characteristics and to compare treatment effectiveness of secukinumab versus tumor necrosis factor inhibitors (TNFi) in patients with spondyloarthritis (SpA) using adalimumab as the main comparator. Methods This was an observational, prospective cohort study. Patients with SpA (clinical ankylosing spondylitis, nonradiographic axial SpA, or undifferentiated SpA) starting secukinumab or a TNFi during 2015-2018 were identified from 5 Nordic clinical rheumatology registries. Data on comorbidities and extraarticular manifestations (psoriasis, uveitis, and inflammatory bowel disease) were captured from national registries (data available in 94% of patients) and included in multivariable analyses. We assessed 1-year treatment retention (crude survival curves, adjusted hazard ratios [HRadj] for treatment discontinuation) and 6-month response rates (Ankylosing Spondylitis Disease Activity Score [ASDAS] score <2.1, Bath Ankylosing Spondylitis Disease Activity Index [BASDAI] <40 mm, crude/LUNDEX-adjusted, adjusted logistic regression analyses with odds ratios [ORs]) stratified by line of biologic treatment (first, second, and third plus). Results In total, 10,853 treatment courses (842 secukinumab and 10,011 TNFi, of which 1,977 were adalimumab) were included. The proportions of patients treated with secukinumab during the first, second, and third-plus lines of treatment were 1%, 6%, and 22%, respectively). Extraarticular manifestations varied across treatments, while other baseline characteristics were largely similar. Secukinumab had a 1-year retention comparable to adalimumab as a first or second line of treatment but poorer as a third-plus line of therapy (secukinumab 56% [95% confidence interval (95% CI) 51-61%] versus adalimumab 70% [95% CI 64-75%]; HRadj 1.43 [95% CI 1.12-1.81]). Across treatment lines, secukinumab had poorer estimates for 6-month response rates than adalimumab, statistically significantly only for the third-plus line (adjusted analyses: ASDAS score <2.1 OR 0.56 [95% CI 0.35-0.90]; BASDAI <40 mm OR 0.62 [95% CI 0.41-0.95]). Treatment outcomes varied across the 5 TNFi. Conclusion Secukinumab was mainly used in biologics-experienced patients with SpA. Secukinumab and adalimumab performed similarly in patients who had failed a first biologic, although with increasing prior biologic exposure, adalimumab was superior.
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20. |
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21. |
- Glintborg, B., et al.
(author)
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Uptake and effectiveness of newer biologic and targeted synthetic disease-modifying antirheumatic drugs in psoriatic arthritis: results from five Nordic biologics registries
- 2023
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In: Annals of the Rheumatic Diseases. - : BMJ. - 0003-4967 .- 1468-2060. ; 82:6, s. 820-828
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Journal article (peer-reviewed)abstract
- BackgroundWe aimed to describe the uptake of newer biologic or targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) in psoriatic arthritis (PsA) in the Nordic countries and to compare their retention and effectiveness. MethodsPatients with PsA starting a b/tsDMARD in 2012-2020 in five Nordic rheumatology registers were included. Uptake and patient characteristics were described, with comorbidities identified from linkages to national patient registries. One-year retention and 6-month effectiveness (proportions achieving low disease activity (LDA) on the Disease Activity Index for PSoriatic Arthritis based on 28-joint evaluation) for the newer b/tsDMARDs (abatacept/apremilast/ixekizumab/secukinumab/tofacitinib/ustekinumab) were compared with adalimumab through adjusted regression models stratified by treatment course (first, second/third, and fourth or more). ResultsIn total, 5659 treatment courses with adalimumab (56% biologic-naive) and 4767 courses with a newer b/tsDMARD (21% biologic-naive) were included. The uptake of newer b/tsDMARDs increased from 2014 and plateaued in 2018. Patient characteristics appeared similar across treatments at treatment start. Adalimumab was more often used as the first course and newer b/tsDMARDs more often in biologic-experienced patients. Used as a second/third b/tsDMARD, the retention rate and the proportion achieving LDA were significantly better for adalimumab (rate 65%, proportion 59%) compared with abatacept (45%, 37%), apremilast (43%, 35%), ixekizumab (LDA only, 40%) and ustekinumab (LDA only, 40%), but not significantly different from other b/tsDMARDs. ConclusionUptake of newer b/tsDMARDs occurred mainly in biologic-experienced patients. Regardless of mode of action, only a minority of patients starting a second or later b/tsDMARD course remained on drug and achieved LDA. Superior outcomes for adalimumab indicate that the positioning of newer b/tsDMARDs in the PsA treatment algorithm remains to be established.
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22. |
- Hellgren, K, et al.
(author)
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PREGNANCY OUTCOMES IN RELATION TO DISEASE ACTIVITY AND ANTI-RHEUMATIC TREATMENT STRATEGIES IN WOMEN WITH RHEUMATOID ARTHRITIS - A MATCHED COHORT STUDY FROM SWEDEN AND DENMARK
- 2021
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In: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 80, s. 126-126
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Conference paper (other academic/artistic)abstract
- 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.<3.2 during pregnancy. Stratifying on type of anti-rheumatic treatment did not substantially change the results. Combination therapy with biologics together with oral steroids and/or csDMARDs in the nine months before pregnancy was associated with PTB (ORs spanning 2.57-3.45) and SGA (ORs spanning 2.40-3.81).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-CRP3,4<3.245926 (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-score3<0.533819 (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/L3<1045521 (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
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25. |
- Lindstrom, U, et al.
(author)
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COMPARISON OF TREATMENT RETENTION OF SECUKINUMAB AND TNF-INHIBITORS IN PSORIATIC ARTHRITIS. OBSERVATIONAL DATA FROM A NORDIC COLLABORATION.
- 2020
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In: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 79, s. 427-428
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Conference paper (other academic/artistic)abstract
- A head-to-head trial (EXCEED) has indicated similar effectiveness of secukinumab (SEC) and the tumor necrosis factor inhibitor (TNFi) adalimumab (ADA) in psoriatic arthritis (PsA). In the clinical setting, treatment retention serves as a combined measure of overall effectiveness and tolerability.Objectives:To explore baseline patient characteristics, and compare treatment retention rates for SEC and each of etanercept (ETN), infliximab (IFX), golimumab (GOL), certolizimab (CZP) and ADA in PsA.Methods:Patients starting SEC or any TNFi in 2015-2018, in the 5 Nordic countries, were identified in clinical rheumatology registers. Data were pooled for analysis and stratified by 1st, 2ndand ≥3rdline of treatment. One year treatment retention was compared by crude Kaplan-Meier curves and a proportional hazard model for risk of discontinuation, censored at 1 year and adjusted for sex, age, country and baseline CRP, patient global and use of csDMARD, with ADA as reference.Results:In total, 6062 patients with PsA were included, contributing 8172 treatment starts (table 1). SEC was mainly used as 2ndor ≥3rdline treatment. The survival curves and 1-year treatment retention rates, stratified by line of treatment, were similar for SEC compared to the TNFis, with some differences between the different TNFi (fig 1, table 2). Adjusted hazard ratios (HR) also indicated similar risk of SEC withdrawal compared to ADA (table 2).Table 1.Patient characteristics at treatment start1stline2ndline≥3rdlineSECN=164TNFiN=3808SECN=273TNFiN=1767SECN=767TNFiN=1393Females48%47%44%42%36%39%Age, years52 (13)49 (13)50 (12)50 (13)52 (12)51 (12)Disease duration, years12 (10)10 (10)13 (10)13 (10)16 (10)16 (10)Swollen joint count 283 (4)2 (3)2 (3)2 (3)3 (4)2 (3)CRP, mg/L10 (18)10 (17)7 (11)9 (17)13 (22)11 (20)Patient global score57 (24)58 (24)60 (25)59 (26)68 (23)65 (24)Concomitant therapycsDMARD30%60%41%57%49%53% Methotrexate24%49%31%48%40%44% Sulphasalazine2%9%5%5%4%6%Numbers are mean (SD) unless noted otherwiseTable 2.One year treatment retention and hazard of discontinuation for SEC and TNFiLine of treatmentDrugN1 year treatment retention % (95% CI)Adjusted HR (95% CI) for discontinuation1stlineADA56973 (69-76)RefCZP27366 (60-72)1.2 (0.9-1.6)ETN174773 (71-75)0.9 (0.7-1.1)GOL21267 (60-73)1.2 (0.9-1.7)IFX100762 (59-65)1.4 (1.1-1.7)SEC16472 (63-78)1.0 (0.7-1.4)2ndlineADA41569 (63-73)RefCZP17651 (43-58)1.6 (1.2-2.2)ETN70163 (59-66)1.2 (0.9-1.5)GOL15169 (61-76)0.9 (0.6-1.2)IFX32465 (59-70)1.0 (0.8-1.4)SEC27369 (62-74)0.9 (0.7-1.2)≥3rdlineADA34667 (62-72)RefCZP22149 (42-56)1.5 (1.2-2.0)ETN37262 (57-67)1.1 (0.9-1.5)GOL20656 (49-63)1.3 (1.0-1.8)IFX24857 (50-63)1.3 (1.0-1.8)SEC76763 (59-67)1.0 (0.8-1.3)Conclusion:In this large study of bDMARD treatment of PsA in clinical practice, SEC was most often used as 2ndor ≥3rdline treatment, and the treatment retention of SEC was comparable with that of TNFi. Further analyses, taking into account other comorbidities, channeling and effectiveness will be presented.Acknowledgments:UL and BG are shared first, and LJ and LEK shared last authors.Partly funded by Nordforsk and FOREUM.Disclosure of Interests:Ulf Lindström: None declared, Bente Glintborg Grant/research support from: Grants from Pfizer, Biogen and Abbvie, Daniela Di Giuseppe: None declared, Tanja Schjødt Jørgensen Speakers bureau: Abbvie, Pfizer, Roche, Novartis, UCB, Biogen, and Eli Lilly, Björn Gudbjornsson Speakers bureau: Novartis and Amgen, Kathrine L. Grøn Grant/research support from: BMS, Sella Aarrestad Provan Consultant of: Novartis, Brigitte Michelsen: None declared, Merete L. Hetland Grant/research support from: BMS, MSD, AbbVie, Roche, Novartis, Biogen and Pfizer, Consultant of: Eli Lilly, Speakers bureau: Orion Pharma, Biogen, Pfizer, CellTrion, Merck and Samsung Bioepis, Johan K Wallman Consultant of: AbbVie, Celgene, Eli Lilly, Novartis and UCB Pharma, Dan Nordström Consultant of: Abbvie, Celgene, Lilly, Novartis, Pfizer, Roche and UCB., Speakers bureau: Abbvie, Celgene, Lilly, Novartis, Pfizer, Roche and UCB., Nina Trokovic: None declared, Thorvardur Love: None declared, Niels Steen Krogh: None declared, Johan Askling Grant/research support from: JA acts or has acted as PI for agreements between Karolinska Institutet and the following entities, mainly in the context of the ARTIS national safety monitoring programme of immunomodulators in rheumatology: Abbvie, BMS, Eli Lilly, Merck, MSD, Pfizer, Roche, Samsung Bioepis, Sanofi, and UCB Pharma, Lennart T.H. Jacobsson Consultant of: AbbVie, Eli Lilly, Janssen, Novartis and Pfizer, Lars Erik Kristensen Consultant of: UCB Pharma (Advisory Board), Sannofi (Advisory Board), Abbvie (Advisory Board), Biogen (Advisory Board), Speakers bureau: AbbVie, Amgen, Biogen, Bristol-Myers Squibb,Celgene, Eli Lilly, Gilead, Forward Pharma, Janssen Pharmaceuticals, MSD, Novartis, Pfizer, and UCB Pharma
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26. |
- Lindström, Ulf, et al.
(author)
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Comparison of treatment retention and response to secukinumab versus tumour necrosis factor inhibitors in psoriatic arthritis
- 2021
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In: Rheumatology. - : Oxford University Press (OUP). - 1462-0324 .- 1462-0332. ; 60:8, s. 3635-3645
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Journal article (peer-reviewed)abstract
- Objectives. To compare treatment retention and response to secukinumab vs adalimumab, including the other four TNF inhibitors (TNFi) as comparators, in PsA. Methods. All patients with PsA starting secukinumab or a TNFi in 2015-2018 were identified in the biologic registers of the Nordic countries. Data on comorbidities were linked from national registers. One-year treatment retention and hazard ratios (HRs) for treatment discontinuation were calculated. The proportion achieving a 6 month 28-joint Disease Activity Index for Psoriatic Arthritis (DAPSA28) remission was determined together with odds ratios (ORs) for remission (logistic regression). Both HRs and ORs were calculated with adalimumab as the reference and adjusted for baseline characteristics and concurrent comorbidities. All analyses were stratified by the line of biologic treatment (first, second, third+). Results. We identified 6143 patients contributing 8307 treatment courses (secukinumab, 1227; adalimumab, 1367). Secukinumab was rarely used as the first biologic, otherwise baseline characteristics were similar. No clinically significant differences in treatment retention or response rates were observed for secukinumab vs adalimumab. The adjusted HRs for discontinuation per the first, second and third line of treatment were 0.98 (95% CI 0.68, 1.41), 0.94 (0.70, 1.26) and 1.07 (0.84, 1.36), respectively. The ORs for DAPSA28 remission in the first, second and third line of treatment were 0.62 (95% CI 0.30, 1.28), 0.85 (0.41, 1.78) and 0.74 (0.36, 1.51), respectively. In the subset of patients previously failing a TNFi due to ineffectiveness, the results were similar. Conclusion. No significant differences in treatment retention or response were observed between secukinumab and adalimumab, regardless of the line of treatment. This suggests that even in patients who have failed a TNFi, choosing either another TNFi or secukinumab may be equally effective.
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- Ornbjerg, LM, et al.
(author)
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SECULAR TRENDS IN BASELINE CHARACTERISTICS, TREATMENT RETENTION AND RESPONSE RATES IN 27189 BIO-NAIVE AXIAL SPONDYLOARTHRITIS PATIENTS INITIATING TNFI - RESULTS FROM THE EUROSPA COLLABORATION
- 2021
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In: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 80, s. 217-218
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Conference paper (other academic/artistic)abstract
- Knowledge of changes over time in baseline characteristics and tumor necrosis factor inhibitor (TNFi) response in bio-naïve axial spondyloarthritis (axSpA) patients treated in routine care is limited.Objectives:To investigate secular trends in baseline characteristics and retention, remission and response rates in axSpA patients initiating a first TNFi.Methods:Prospectively collected data on bio-naïve axSpA 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 (Ankylosing Spondylitis Disease Activity Score (ASDAS) <1.3, Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) <20) and response (ASDAS Major and Clinically Important Improvement (MI/CII), BASDAI 50) rates were assessed at 6, 12 and 24 months. No statistical comparisons were made.Results:In total, 27189 axSpA patients were included (5945, 11255 and 9989 in groups A, B and C).At baseline, patients in group A were older, had longer disease duration and a larger proportion of male and HLA-B27 positive patients compared to B and C, whereas disease activity was similar across groups.Retention rates at 6, 12 and 24 months were highest in group A (88%/81%/71%) but differed little between B (84%/74%/64%) and C (85%/76%/67%).In all groups, median ASDAS and BASDAI had decreased markedly at 6 months (Table 1). The ASDAS values at 12 and 24 months and BASDAI at 24 months were higher in group A compared with groups B and C. Similarly, crude remission and response rates were lowest in group A. After adjustments for drug retention (LUNDEX), remission and response rates showed less pronounced between-group differences regarding ASDAS measures and no relevant differences regarding BASDAI measures.Conclusion:Nowadays, axSpA patients initiating TNFi are younger with shorter disease duration and more frequently female and HLA-B27 negative than previously, while baseline disease activity is unchanged. Drug retention rates have decreased, whereas crude remission and response rates have increased. This may indicate expanded indication but also a stable disease activity threshold for TNFi initiation over time, an increased focus on targeting disease remission and more available treatment options.References:[1]Arthritis Rheum 2006; 54: 600-6.Table 1.Secular trends in baseline characteristics, treatment retention, remission and response rates in European axSpA patients initiating a 1st TNFiBaseline characteristicsGroup A(1999–2008)Group B(2009–2014)Group C(2015–2018)Age, years, median (IQR)57 (49–66)51 (42–60)46 (37–56)Male, %666057HLA-B27, %877772Years since diagnosis, median (IQR)5 (1–12)2 (0–8)2 (0–7)Smokers, %232425ASDAS, median (IQR)3.5 (2.8–4.1)3.4 (2.8–4.1)3.5 (2.8–4.1)BASDAI, median, (IQR)57 (42–71)59 (43–72)57 (41–71)TNFi drug, % (Adalimumab /Etanercept / Infliximab /Certolizumab / Golimumab)22 / 35 / 43 / 0 / 037 / 21 / 20 / 4 / 1827 / 28 / 24 / 8 / 13Follow up6 months12 months24 monthsGr AGr BGr CGr AGr BGr CGr AGr BGr CRetention rates, %, (95% CI)88 (88–89)84 (83–85)85 (84–86)81 (80–82)74 (74–75)76 (75–76)71 (70–72)64 (63–65)67 (66–68)ASDAS, median, (IQR)1.8 (1.2–2.8)1.9 (1.2–2.8)1.8 (1.2–2.6)1.9 (1.3–2.6)1.7 (1.2–2.5)1.6 (1.1–2.4)1.9 (1.4–2.6)1.7 (1.1–2.4)1.5 (1.1–2.2)ASDAS inactive disease, %, c/L28 / 2528 / 2430 / 2624 / 1932 / 2434 / 2623 / 1634 / 2039 / 23ASDAS CII, %, c/L57 / 5159 / 5063 / 5461 / 5063 / 4767 / 5159 / 4168 / 4074 / 45ASDAS MI, %, c/L31 / 2732 / 2737 / 3232 / 2637 / 2741 / 3130 / 2042 / 2546 / 28BASDAI, median, (IQR)23 (10–40)26 (11–48)24 (10–44)21 (10–38)23 (10–42)20 (8–39)22 (9–40)20 (8–39)16 (6–35)BASDAI remission, %, c/L44 / 4040 / 3443 / 3645 / 3645 / 3450 / 3844 / 3048 / 2956 / 34BASDAI 50 response, %, c/L53 / 4750 / 4253 / 4557 / 4656 / 4258 / 4457 / 3960 / 3563 / 38Gr, Group; c/L, crude/LUNDEX adjusted.Acknowledgements:Novartis Pharma AG and IQVIA for supporting the EuroSpA Research Collaboration Network.Disclosure of Interests:Lykke Midtbøll Ørnbjerg Grant/research support from: Novartis, Sara Nysom Christiansen Speakers bureau: BMS and GE, 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, Ulf Lindström: None declared, Jakub Zavada: None declared, Florenzo Iannone: None declared, Fatos Onen: None declared, Michael J. Nissen Speakers bureau: Novartis, Eli Lilly, Celgene, and Pfizer, Consultant of: Novartis, Eli Lilly, Celgene, and Pfizer, Brigitte Michelsen Consultant of: Novartis, Grant/research support from: Novartis, Maria Jose Santos Speakers bureau: AbbVie, Novartis, Pfizer, Gary Macfarlane Grant/research support from: GlaxoSmithKline, Dan Nordström Consultant of: Abbvie, BMS, MSD, Novartis, Pfizer, Roche, UCB, Manuel Pombo-Suarez: None declared, Catalin Codreanu Speakers bureau: AbbVie, Amgen, Egis, Novartis, Pfizer, UCB, Grant/research support from: AbbVie, Amgen, Egis, Novartis, Pfizer, UCB, Matija Tomsic Speakers bureau: Abbvie, Amgen, Biogen, Medis, MSD, Novartis, Pfizer, Consultant of: Abbvie, Amgen, Biogen, Medis, MSD, Novartis, Pfizer, Irene van der Horst-Bruinsma Speakers bureau: Abbvie, BMS, MSD, Novartis, Pfizer, Lilly, UCB, Björn Gudbjornsson Speakers bureau: Amgen and Novartis, Johan Askling: None declared, Bente Glintborg Grant/research support from: Pfizer, Biogen, AbbVie, 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, Elisa Gremese: None declared, Nurullah Akkoc: None declared, Adrian Ciurea Speakers bureau: Abbvie, Eli-Lilly, MSD, Novartis, Pfizer, Eirik kristianslund: None declared, Anabela Barcelos: None declared, Gareth T. Jones Grant/research support from: Pfizer, AbbVie, UCB, Celgene, Amgen, GSK, Anna-Mari Hokkanen Grant/research support from: MSD, Carlos Sánchez-Piedra: None declared, Ruxandra Ionescu Speakers bureau: Abbvie, Amgen, Boehringer-Ingelheim Eli-Lilly,Novartis, Pfizer, Sandoz, UCB, Ziga Rotar Speakers bureau: Abbvie, Amgen, Biogen, Medis, MSD, Novartis, Pfizer, Consultant of: Abbvie, Amgen, Biogen, Medis, MSD, Novartis, Pfizer, Marleen G.H. van de Sande: None declared, Arni Jon Geirsson: None declared, 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, Merete L. Hetland Speakers bureau: Abbvie, Biogen, BMS, Celltrion, Eli Lilly, Janssen Biologics B.V, Lundbeck Fonden, MSD, Pfizer, Roche, Samsung Biopies, Sandoz, Novartis.
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- Provan, SA, et al.
(author)
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THE INCIDENCE OF INTERSTITIAL LUNG DISEASE IN PSORIATIC ARTHRITIS COMPARED TO RHEUMATOID ARTHRITIS. DATA FROM OVER 89 000 BDMARD TREATMENT COURSES DERIVED FROM FIVE NORDIC REGISTERS
- 2021
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In: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 80, s. 133-134
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Conference paper (other academic/artistic)abstract
- Interstitial lung disease (ILD) is an established extra-articular manifestation of rheumatoid arthritis (RA). Few studies have investigated the prevalence of ILD in patients with psoriatic arthritis (PsA). Methotrexate (MTX) is frequently used in the treatment of both RA and PsA and has been suggested to be a risk factor for the development of ILD. It is of interest to understand the interaction between disease and treatment in the development of ILD.Objectives:To compare the incidence of ILD between patient with PsA and RA treated with biologic disease modifying antirheumatic drugs (bDMARDS), with or without MTX as a co-medication.Methods:Cohorts of patients with RA and PsA starting bDMARD were identified in Nordic registers (Danish nationwide clinical register for patients with RA (DANBIO), Register on antirheumatic and biological therapy in Finland (ROB-FIN), Icelandic nationwide database of biologic therapy (ICEBIO), Norwegian Antirheumatic Drug Register (NOR-DMARD), and the Swedish Rheumatology Quality Register (SRQ)). Linkages to the National Patient Registers and to the Cause of Death Registers were performed in each country to identify cases of ILD. Each individual patient could contribute several treatment courses. ILD was identified as hospital or death certificate ICD10 codes of ILD (J84.1, J84.8, J84.9, J70.2, J70.3, J70.4, J99.0, J99.1, J99.8) given during the follow-up period which was defined as the treatment course duration, plus a 30-day wash-out period added to the end of treatment course period. MTX co-medication was specified as use of MTX at the start of bDMARD. Incidence rates (IR) for any ILD were calculated per 1000 person years at risk (PYR) for each country. The five cohorts were pooled and incidence rate ratios (IRR) for PsA vs. RA were calculated. Hazard ratios (HR) for any ILD in PsA vs. RA were estimated in Cox regression models adjusted for age, gender and repeated observations, and stratified for the use of MTX co-medication.Results:Overall 47 987 individual patients representing 89 239 bDMARD treatment courses and contributing 201 279 PYR were included in the study (Table 1). Methotrexate was reported as comedication in 29 916 (33.5 %) of the treatment courses (PsA vs. RA, 30.4 % vs 34.5 %). 970 cases of ILD were identified during the follow-up period. The risk of ILD was consistently lower in patients with PsA compared to patients with RA in all countries. In models stratified for co-medication the HR for ILD in PsA vs. RA was 0.34 (0.21-0.57) in patients treated with MTX and 0.26 (0.18-0.36) in patients not treated with MTX.Table 1.Interstitial lung disease in PsA vs. RA in five Nordic biologic registersDENMARKFINLANDICELANDNORWAYSWEDENRAPsARAPsARAPsARAPsARAPsANumber of individuals78293386494610916754701590999205966393Number of treatment courses17 07266408634184512808592379142738 27910 824Age baseline (SD)57.3 (13.1)49.0 (12.6)53.8 (13.4)48.8 (11.4)53.9 (14.2)50.1 (13.3)53.8 (13.7)48.7 (12.0)57.1 (13.7)50.6 (12.8)Female n (%)12 963 (76)3929 (59)6571 (76)933 (51)969 (76)551 (65)1815 (77)818 (57)29 635 (77)6162 (57)Number of PYR4023513986217984910451727994556265312033427412ILD-events within PYR2182213287232668028IR pr 1000 PYR5.41.66.11.61.50.77.02.35.71.0IRR PsA vs RA crude0.29 (0.18-0.45)0.27 (0.11-0.55)0.46 (0.05-2.42)0.32(0.11-0.78)0.18 (0.12-0.26)HR PsA vs RA0.31 (0.17-0.56)0.46 (0.22-0.96)0.62 (0.12-3.14)0.19 (0.06-0.54)0.25 (0.17-0.37)PYR: Patient years at risk, IR: Incidence rates, IRR: Incidence rate ratios, HR: Hazard RatiosConclusion:In these preliminary analyses, the incidence of ILD is lower in bDMARD treated PsA vs. RA patients, irrespective of co-medication with MTX. This indicates that the clinician should consider the rheumatological diagnosis when assessing the risk for future ILD in patients treated with bDMARDs and MTX.Acknowledgements:Partly funded by NordForsk and FOREUMDisclosure of Interests:Sella Aarrestad Provan Consultant of: Novartis, Grant/research support from: Boehringer-Ingelheim, Brigitte Michelsen: None declared, Lotta Ljung: None declared, Thorarinn Jonmundsson: None declared, Björn Gudbjornsson Speakers bureau: Amgen and Novartis, Daniela Di Giuseppe: None declared, Merete Lund Hetland Speakers bureau: Orion Pharma, Biogen, Pfizer, CellTrion, Merck and Samsung Bioepis, Consultant of: Eli Lilly, Grant/research support from: BMS, MSD, AbbVie, Roche, Novartis, Biogen and Pfizer, Guðrún Björk Reynisdóttir: None declared, Bente Glintborg: None declared, Eirik kristianslund: None declared, Heikki Relas: None declared, Kalle Aaltonen: None declared, Dan Nordström Speakers bureau: Abbvie, BMS, Celgene, Eli Lilly, MSD, Novartis, Pfizer, Roche and UCB., Consultant of: Abbvie, BMS, Celgene, Eli Lilly, MSD, Novartis, Pfizer, Roche and UCB., Tore K. Kvien Speakers bureau: Amgen, Celltrion, Egis, Evapharma, Ewopharma, Hikma, Oktal, Sandoz, Sanofi., Consultant of: AbbVie, Amgren, Biogen, Celltrion, Eli Lilly, Gilead, Mylan, Novartis, Pfizer, Roche, Sandoz, Sanofi., Johan Askling Grant/research support from: Abbvie, BMS, Eli Lilly, Merck, Pfizer, Roche, Samsung Bioepis, and Sanofi
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- Ørnbjerg, L. M., et al.
(author)
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Predictors of ASDAS-CRP inactive disease in axial spondyloarthritis during treatment with TNF-inhibitors: Data from the EuroSpA collaboration
- 2022
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In: Seminars in Arthritis and Rheumatism. - : Elsevier BV. - 0049-0172 .- 1532-866X. ; 56
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Journal article (peer-reviewed)abstract
- Objectives: In patients with axial spondyloarthritis (axSpA) initiating their first tumor necrosis factor alpha-inhibitor (TNFi), we aimed to identify common baseline predictors of Ankylosing Spondylitis Disease Activity Score (ASDAS-CRP) inactive disease (primary objective) and clinically important improvement (CII) at 6 months, and drug retention at 12-months across 15 European registries. Methods: Baseline demographic and clinical characteristics were collected. Outcomes were investigated per registry and in pooled data using logistic regression analyses on multiply imputed data. Results: The consistency of baseline predictors in individual registries justified pooling the data. In the pooled dataset (n = 21,196), the 6-month rates for ASDAS inactive disease and ASDAS CII were 26% and 51%, and the 12-month drug retention rate 65% in patients with available data (n = 9,845, n = 6,948 and n = 21,196, respectively). Nine common baseline predictors of ASDAS inactive disease, ASDAS CII and 12-month drug retention were identified, and the odds ratios (95%-confidence interval) for ASDAS inactive disease were: age, per year: 0.97 (0.97–0.98), men vs. women: 1.88 (1.60–2.22), current vs. non-smoking: 0.76 (0.63–0.91), HLA-B27 positive vs. negative: 1.51 (1.20–1.91), TNF start year 2015–2018 vs. 2009–2014: 1.24 (1.06–1.45), CRP>10 vs. ≤10 mg/l: 1.49 (1.25–1.77), one unit increase in health assessment questionnaire (HAQ): 0.77 (0.58–1.03), one-millimeter (mm) increase in Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) fatigue and spinal pain: 0.99 (0.99–1.00) and 0.99 (0.99–1.99), respectively Conclusion: Common baseline predictors of treatment response and adherence to TNFi could be identified across data from 15 European registries, indicating that they may be universal across different axSpA populations.
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- Chatzidionysiou, K., et al.
(author)
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Effectiveness of a Second Biologic After Failure of a Non-tumor Necrosis Factor Inhibitor As First Biologic in Rheumatoid Arthritis
- 2021
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In: Journal of Rheumatology. - : The Journal of Rheumatology. - 0315-162X .- 1499-2752. ; 48:10, s. 1512-1518
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Journal article (peer-reviewed)abstract
- Objective. In 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. Methods. We 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). Results. We 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%). Conclusion. The 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.
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- Glintborg, B., et al.
(author)
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Biological treatment in ankylosing spondylitis in the Nordic countries during 2010-2016: a collaboration between five biological registries
- 2018
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In: Scandinavian Journal of Rheumatology. - : Informa UK Limited. - 0300-9742 .- 1502-7732. ; 47:6, s. 465-474
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Journal article (peer-reviewed)abstract
- Objectives: Large-scale observational cohorts may be used to study the effectiveness and rare side effects of biological disease-modifying anti-rheumatic drugs (bDMARDs) in ankylosing spondylitis (AS), but may be hampered by differences in baseline characteristics and disease activity across countries. We aimed to explore the research infrastructure in the five Nordic countries regarding bDMARD treatment in AS. Method: This observational cohort study was based on data from biological registries in Denmark (DANBIO), Sweden (SRQ/ARTIS), Finland (ROB-FIN), Norway (NOR-DMARD), and Iceland (ICEBIO). Data were collected for the years 2010-2016. Registry coverage, registry inventory (patient characteristics, disease activity measures), and national guidelines for bDMARD prescription in AS were described per country. Incident (first line) and prevalent bDMARD use per capita, country, and year were calculated. In AS patients who started first line bDMARDs during 2010-2016 (n = 4392), baseline characteristics and disease activity measures were retrieved. Results: Registry coverage of bDMARD-treated patients ranged from 60% to 95%. All registries included extensive prospectively collected data at patient level. Guidelines regarding choice of first line drug and prescription patterns varied across countries. During the period 2010-2016 prevalent bDMARD use increased (p < 0.001), whereas incident use tended to decrease (p for trend < 0.004), with large national variations (e.g. 2016 incidence: Iceland 10.7/100 000, Finland 1.7/100 000). Baseline characteristics were similar regarding C-reactive protein, but differed for other variables, including the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) (range 3.5-6.3) and Ankylosing Spondylitis Disease Activity Score (ASDAS) (2.7-3.8) (both p < 0.0001). Conclusion: Collaboration across the five Nordic biological registries regarding bDMARD use in AS is feasible but national differences in coverage, prescription patterns, and patient characteristics must be taken into account depending on the scientific question.
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- Glintborg, B, et al.
(author)
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UPTAKE OF NEWER BIOLOGIC AND TARGETED SYNTHETIC DMARDS IN PSORIATIC ARTHRITIS, RESULTS FROM FOUR NORDIC BIOLOGIC REGISTRIES
- 2022
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In: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 81, s. 766-767
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Conference paper (other academic/artistic)abstract
- The treatment landscape in psoriatic arthritis (PsA) is changing, including newer biologic and targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) with different modes of action becoming available. However, the most effective treatment strategy in routine care remains to be established.ObjectivesTo explore the uptake and treatment patterns of newer b/tsDMARDs, namely JAK-inhibitors (JAKi; baricitinib, tofacitinib, upadacitinib), IL-17-inhibitors (ixekizumab, secukinumab), abatacept, apremilast, and ustekinumab in PsA patients from the Nordic countries. Furthermore, to describe patient characteristics and extra-musculoskeletal manifestations at treatment start (=baseline).MethodsObservational cohort study, using prospectively collected routine care data from 4 Nordic rheumatology registries. Treatments (newer b/tsDMARDs with tumor-necrosis-factor inhibitors (TNFi) as the reference) initiated from January 2009 until December 2020 and corresponding baseline patient characteristics were identified. Linkage to national patient registries was used to identify previous extra-musculoskeletal manifestations (0-5 years). Country-level data were pooled for analyses. Uptake of each drug was explored as the cumulative number of treatment starts (a) overall, irrespective of previous b/tsDMARD experience, and (b) in b/tsDMARD-naïve patients. Each patient could contribute >1 treatment course.ResultsOverall, 13,364 unique patients contributing 24,325 treatment courses with either a newer b/tsDMARD (4,855, 20%) or a TNFi (19,470, 80%, whereof 10,897 were started year 2015-20) were identified. For the sub-group of 11,892 first b/tsDMARD treatment courses, 1,009 (8%) were a newer b/tsDMARD (10,883 were a TNFi, whereof 5,956 were started year 2015-20).Secukinumab dominated the newer b/tsDMARD uptake (1,848 new-starts, Figure 1). Ustekinumab-uptake increased over time both overall and in b/tsDMARD-naïve patients. In b/tsDMARD-naïve patients, apremilast had the fastest uptake (490 new-starts) (Figure 1). Use of JAKi was limited, especially in b/tsDMARD-naïve patients.Figure 1.Patients starting a newer b/tsDMARD tended to have longer disease duration and slightly higher disease activity at baseline (DAS28, patient-reported outcomes) than TNFi initiators (Table 1). Previous extra-musculoskeletal manifestations (uveitis, IBD) were rare, and with similar distributions across treatments (Table 1).Table 1.Baseline characteristics upon treatment startAbata-ceptApre-milastBari-citinibIxe-kizumabSecuki-numabTofa-citinibUpada-citinibUste-kinumabAny TNFiCumulative uptake, n3629351063421848494669119470Male gender, %334227384033333744Age54 (12)53 (12)55 (13)52 (13)51 (13)54 (13)52 (10)50 (12)49 (13)b/tsDMARD treatment number, %1952911149020562191512262518171925≥3723378746173836219Disease duration, yrs9 (8)8 (8)10 (8)10 (8)9 (9)11 (10)8 (8)8 (9)7 (8)Pain, VAS (0-100)63 (21)61 (23)64 (23)64 (25)63 (24)66 (23)75 (17)64 (23)59 (24)DAS284.73 (1.34)4.04 (1.35)3.95 (1.36)4.24 (1.19)4.13 (1.36)4.49 (1.33)4.74 (0.88)4.19 (1.32)4.07 (1.29)Uveitis, %*323123022IBD, %*113111-31Numbers are mean (SD) unless otherwise statedIBD: inflammatory bowel disease, bDMARD: biologic DMARD, ts: targeted synthetic*0-5 years previously, available all study period for Iceland, Sweden, Finland until 31Dec2018, not available for DenmarkConclusionIn this cross-country collaboration we were able to explore uptake of newer b/tsDMARDs. TNFi still dominates compared to newer b/tsDMARDs in routine care treatment of PsA. Newer b/tsDMARDs are mainly used in patients with several previous treatment failures, i.e. with longer disease duration and higher disease activity, indicating difficult to treat disease. Further studies are planned to explore real-world treatment patterns and outcomes.AcknowledgementsBG and DdiG contributed equally.Partly funded by NordForsk and Foreum grants. On behalf of the Danish DANBIO, Swedish SRQ, Norwegian NOR-DMARD, Finnish ROB-FIN and Icelandic ICEBIO registriesDisclosure of InterestsBente Glintborg Grant/research support from: Pfizer, AbbVie, BMS, Daniela Di Giuseppe: None declared, Johan K Wallman Consultant of: AbbVie, Amgen, Celgene, Eli Lilly, Novartis, Grant/research support from: AbbVie, Amgen, Eli Lilly, Novartis, Pfizer, Dan Nordström: None declared, Björn Gudbjornsson Speakers bureau: Novartis and Amgen, Merete Lund Hetland Grant/research support from: AbbVie, Biogen, BMS, Celltrion, Eli Lilly Denmark A/S, Janssen Biologics B.V, Lundbeck Fonden, MSD, Pfizer, Roche, Samsung Biopis, Sandoz, Novartis., Johan Askling Grant/research support from: Abbvie, Astra-Zeneca, BMS, Eli Lilly, MSD, Pfizer, Roche, Samsung Bioepis, Sanofi, and UCB., Gerdur Gröndal: None declared, Tuulikki Sokka-Isler Grant/research support from: Abbvie, Amgen, BMS, Celgene, Eli Lilly, GSK, Medac, MSD, Novartis, Orion Pharma, Pfizer, Roche, Sandoz, UCB, Sella Aarrestad Provan: None declared, Ulf Lindström: None declared
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- Hansen, R. L., et al.
(author)
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Inflammatory hallmarks of lesser prominence in psoriatic arthritis patients starting biologics: a Nordic population-based cohort study
- 2021
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In: Rheumatology. - : Oxford University Press (OUP). - 1462-0324 .- 1462-0332. ; 60:1, s. 140-146
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Journal article (peer-reviewed)abstract
- Objectives. To assess secular trends in baseline characteristics of PsA patients initiating their first or subsequent biologic DMARD (bDMARD) therapy and to explore prescription patterns and treatment rates of bDMARDs from 2006 to 2017 in the Nordic countries. Methods. PsA patients registered in the Nordic rheumatology registries initiating any treatment with bDMARDs were identified. The bDMARDs were grouped as original TNF inhibitor [TNFi; adalimumab (ADA), etanercept (ETN) and infliximab (IFX)]; certolizumab pegol (CZP) and golimumab (GOL); biosimilars and ustekinumab, based on the date of release. Baseline characteristics were compared for the five countries, supplemented by secular trends with R-2 calculations and point prevalence of bDMARD treatment. Results. A total of 18 089 patients were identified (Denmark, 4361; Iceland, 449; Norway, 1948; Finland, 1069; Sweden, 10 262). A total of 54% of the patients were female, 34.3% of patients initiated an original TNFi, 8% CZP and GOL, 7.5% biosimilars and 0.3% ustekinumab as a first-line bDMARD. Subsequent bDMARDs were 25.2% original TNFi, 9% CZP and GOL, 12% biosimilars and 2.1% ustekinumab. From 2015 through 2017 there was a rapid uptake of biosimilars. The total of first-line bDMARD initiators with lower disease activity increased from 2006 to 2017, where an R2 close to 1 showed a strong association. Conclusion. Across the Nordic countries, the number of prescribed bDMARDs increased from 2006 to 2017, indicating a previously unmet need for bDMARDs in the PsA population. In recent years, PsA patients have initiated bDMARDs with lower disease activity compared with previous years, suggesting that bDMARDs are initiated in patients with a less active inflammatory phenotype.
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- Lindström, Ulf, et al.
(author)
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Treatment retention of infliximab and etanercept originators versus their corresponding biosimilars: Nordic collaborative observational study of 2334 biologics naive patients with spondyloarthritis
- 2019
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In: RMD Open. - : BMJ. - 2056-5933. ; 5:2
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Journal article (peer-reviewed)abstract
- Objective Although clinical trials support equivalence of originator products and biosimilars for etanercept and infliximab, real-world studies among biologics-naive patients with spondyloarthritis (SpA) are lacking. The objectives were to compare treatment retention in biologics-naive patients with SpA starting either the originator product or a biosimilar of infliximab and etanercept, and to explore the baseline characteristics of these patients. Methods Patients with SpA (ankylosing spondylitis/non-radiographical axial SpA/undifferentiated SpA), starting infliximab or etanercept as their first-ever biological disease-modifying antirheumatic drug during January 2014-June 2017 were identified in five Nordic biologics-rheumatology registers. Baseline characteristics were retrieved from each registry; comorbidity data were identified through linkage to national health registers. Country-specific data were pooled, and data on infliximab and etanercept were analysed separately. Comparisons of treatment retention between originators and biosimilars were assessed through survival probability curves, retention rates (2 years for infliximab/1 year for etanercept) and Hazard Ratios (HR). Results We included 1319 patients starting infliximab (24% originator/76% biosimilar), and 1015 patients starting etanercept (49% originator/51% biosimilar). Baseline characteristics were largely similar for the patients treated with the originators compared with the corresponding biosimilars. Survival probability curves were highly similar for the originator and its biosimilar, as were retention rates: infliximab 2-year retention originator, 44% (95% CI 38% to 50%)/biosimilar, 46% (95% CI: 42% to 51%); and etanercept 1-year retention originator, 66% (95% CI 61% to 70%)/biosimilar, 73% (95% CI 68% to 78%). HRs were not statistically significant. Conclusion This observational study of biologics-naive patients with SpA from five Nordic countries showed similar baseline characteristics and very similar retention rates in patients treated with originators versus biosimilars, for both infliximab and etanercept, indicating comparable effectiveness in clinical practice.
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