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Sökning: WFRF:(Gron KL)

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  • Gron, KL, et al. (författare)
  • Risk of serious infections in patients with rheumatoid arthritis treated in routine care with abatacept, rituximab and tocilizumab in Denmark and Sweden
  • 2019
  • Ingår i: Annals of the rheumatic diseases. - : BMJ. - 1468-2060 .- 0003-4967. ; 78:3, s. 320-327
  • Tidskriftsartikel (refereegranskat)abstract
    • To estimate (1) crude and age-and gender-adjusted incidence rates (IRs) of serious infections (SI) and (2) relative risks (RR) of SI in patients with rheumatoid arthritis (RA) initiating treatment with abatacept, rituximab or tocilizumab in routine care.MethodsThis is an observational cohort study conducted in parallel in Denmark and Sweden including patients with RA in Denmark (DANBIO) and Sweden (Anti-Rheumatic Treatment in Sweden Register/Swedish Rheumatology Quality Register) who started abatacept/rituximab/tocilizumab in 2010–2015. Patients could contribute to more than one treatment course. Incident SI (hospitalisations listing infection) and potential confounders were identified through linkage to national registries. Age- and gender-adjusted IRs of SI per 100 person years and additionally adjusted RRs of SI during 0–12 and 0–24 months since start of treatment were assessed (Poisson regression). Country-specific RRs were pooled using inverse variance weighting.ResultsWe identified 8987 treatment courses (abatacept: 2725; rituximab: 3363; tocilizumab: 2899). At treatment start, rituximab-treated patients were older, had longer disease duration and more previous malignancies; tocilizumab-treated patients had higher C reactive protein. During 0–12 and 0–24 months of follow-up, 456 and 639 SI events were identified, respectively. The following were the age- and gender-adjusted 12-month IRs for abatacept/rituximab/tocilizumab: 7.1/8.1/6.1 for Denmark and 6.0/6.4/4.7 for Sweden. The 24-month IRs were 6.1/7.5/5.2 for Denmark and 5.6/5.8/4.3 for Sweden. Adjusted 12-month RRs for tocilizumab versus rituximab were 0.82 (0.50 to 1.36) for Denmark and 0.76 (0.57 to 1.02) for Sweden, pooled 0.78 (0.61 to 1.01); for abatacept versus rituximab 0.94 (0.55 to 1.60) for Denmark and 0.86 (0.66 to 1.13) for Sweden, pooled 0.88 (0.69 to 1.12); and for abatacept versus tocilizumab 1.15 (0.69 to 1.90) for Denmark and 1.14 (0.83 to 1.55) for Sweden, pooled 1.13 (0.91 to 1.42). The adjusted RRs for 0–24 months were similar.ConclusionFor patients starting abatacept, rituximab or tocilizumab, differences in baseline characteristics were seen. Numerical differences in IR of SI between drugs were observed. RRs seemed to vary with drug (tocilizumab < abatacept < rituximab) but should be interpreted with caution due to few events and risk of residual confounding.
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  • Lindstrom, U, et al. (författare)
  • COMPARISON OF TREATMENT RETENTION OF SECUKINUMAB AND TNF-INHIBITORS IN PSORIATIC ARTHRITIS. OBSERVATIONAL DATA FROM A NORDIC COLLABORATION.
  • 2020
  • Ingår i: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 79, s. 427-428
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)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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