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BackgroundBimekizumab (BKZ), a monoclonal IgG1 antibody that selectively inhibits interleukin (IL)-17F in addition to IL-17A, met all primary/secondary endpoints at Week (Wk) 16 in patients (pts) with active non-radiographic axial spondyloarthritis (nr-axSpA) and radiographic axSpA (r-axSpA;i.e., ankylosing spondylitis), in the parallel phase 3 BE MOBILE 1 and 2 studies, respectively.[1,2]ObjectivesTo assess efficacy and safety of BKZ in these pts up to Wk 52.MethodsBE MOBILE 1 (NCT03928704) and 2 (NCT03928743) both involved a 16-wk placebo (PBO)-controlled and 36-wk maintenance period.[1,2] Pts were randomised to subcutaneous BKZ 160 mg Q4W (BKZ) or to PBO then BKZ from Wk 16 (PBO/BKZ).Results220/254 (86.6%) randomised pts with nr-axSpA and 298/332 (89.8%) with r-axSpA completed Wk 52. Efficacy was sustained to Wk 52 in both studies (Table 1). ASAS40 responses in BKZ-randomised pts increased from Wk 16 (nr-axSpA: 47.7%;r-axSpA: 44.8%;non-responder imputation [NRI]) to Wk 52 (60.9%;58.4%;NRI) with high levels of efficacy across TNFi-naïve and TNFi-IR populations (Table 1). At Wk 52, ASDAS <2.1 was achieved by 61.6% and 57.1%, and ASDAS <1.3 by 25.2% and 23.4%, of BKZ-randomised pts with nr-axSpA and r-axSpA, respectively (Figure 1). Wk 16 reductions from baseline in objective signs of inflammation (MRI, hs-CRP), and improvements in function (BASFI) and ASQoL, were maintained through 52 wks. Efficacy at Wk 52 was similar in PBO/BKZ-treated and BKZ-randomised pts (Table 1).At Wk 52, 75.0% (183/244) of pts with nr-axSpA and 75.5% (249/330) of pts with r-axSpA had ≥1 treatment-emergent adverse event (TEAE) on BKZ;the most frequent (% pts) TEAEs by preferred term (MedDRA v19.0) were nasopharyngitis (nr-axSpa: 12.3%;r-axSpA 9.1%) and upper respiratory tract infection (9.4%;6.4%);few COVID-19 infections were reported (7.0%;2.1%). Incidence (pts/100 pt years) of serious TEAEs were low (4.4;7.1);no major adverse cardiovascular events, active tuberculosis cases, serious COVID-19 infections, or deaths were reported. Most incidences of fungal infection (19.6;14.9;none serious or systemic) were Candida (12.8;8.3) and mild to moderate;two pts in both studies discontinued the study due to Candida infections. Incidence of IBD (1.0;1.0) and uveitis (1.5;2.4) were low.ConclusionAcross the axSpA spectrum, BKZ resulted in sustained efficacy to Wk 52. No new safety signals were observed, consistent with the Wk 24 safety profile.[1,2]References[1]Deodhar A. Ann Rheum Dis 2022;81:772–3;2.[2]van der Heijde D. Ann Rheum Dis 2022;81:12–3.Table 1.Efficacy at Wk 52Mean (SE), unless statedBE MOBILE 1BE MOBILE 2PBO→BKZ N=126BKZ N=128PBO→BKZ N=111BKZ N=221ASAS40 [NRI] n (%)64 (50.8)78 (60.9)76 (68.5)129 (58.4)ASAS40 in TNFi-naïve [NRI] n (%)58 (53.2)a73 (61.9)b67 (71.3)c108 (58.7)dASAS40 in TNFi-IRe [NRI] n (%)6 (35.3)f5 (50.0)g9 (52.9)f21 (56.8)hASAS20 [NRI] n (%)88 (69.8)94 (73.4)89 (80.2)158 (71.5)ASAS PR [NRI] n (%)38 (30.2)38 (29.7)41 (36.9)66 (29.9)ASAS 5/6 [NRI] n (%)65 (51.6)71 (55.5)74 (66.7)124 (56.1)BASDAI CfB [MI]–3.5 (0.2)–3.9 (0.2)–4.0 (0.2)–3.6 (0.1)BASFI CfB [MI]–2.6 (0.2)–3.0 (0.2)–2.8 (0.2)–2.8 (0.1)ASDAS-MI [NRI] n (%)37 (29.4)47 (36.7)49 (44.1)71 (32.1)Nocturnal spinal pain CfB [MI]–4.1 (0.2)–4.3 (0.3)–4.6 (0.3)–4.1 (0.2)ASQoL CfB [MI]–5.3 (0.4)–5.9 (0.4)–5.6 (0.4)–5.7 (0.3)SF-36 PCS CfB [MI]11.4 (0.9)12.2 (0.9)12.3 (0.9)12.0 (0.6)BASMI CfB [MI]–0.4 (0.1)–0.6 (0.1)–0.7 (0.1)–0.7 (0.1)Total resolution of enthesitisi [NRI] n (%)41 (44.6)j51 (54.3)c31 (46.3)k67 (50.8)lASDAS-CRP CfB [MI]–1.6 (0.1)–1.8 (0.1)–1.9 (0.1)–1.7 (0.1)SPARCC MRI SIJ score CfB [OC]mMean (SD)–6.4 (10.7)n–7.6 (10.5)o–2.8 (6.1)p–4.7 (8.2)qBerlin MRI spine score CfB [OC]mMean (SD)–0.4 (2.0)k–0.7 (2.5)r–2.1 (3.4)p–2.4 (3.9)shs-CRP, mg/L [MI] Median2.21.72.02.3RS. n: a109, b118, c94, d184;eMax 1 TNFi;n: f17, g10, h37;iMASES=0 in pts with MASES >0 at BL;n: j92, k67;l132;mMRI sub-study;n: n70, o82, p48, q90, r79, s89.AcknowledgementsThis study was funded by UCB Ph rma. Medical writing support was provided by Costello Medical, funded by UCB Pharma.Disclosure of InterestsXenofon Baraliakos Speakers bureau: AbbVie, BMS, Chugai, Eli Lilly, Galapagos, Gilead, MSD, Novartis, Pfizer and UCB Pharma, Paid instructor for: AbbVie, BMS, Chugai, Eli Lilly, Galapagos, Gilead, MSD, Novartis, Pfizer and UCB Pharma, Consultant of: AbbVie, BMS, Chugai, Eli Lilly, Galapagos, Gilead, MSD, Novartis, Pfizer and UCB Pharma, Atul Deodhar Speakers bureau: Janssen, Novartis and Pfizer, Consultant of: AbbVie, Amgen, Aurinia, BMS, Eli Lilly, Janssen, MoonLake, Novartis, Pfizer and UCB Pharma, Grant/research support from: AbbVie, BMS, Celgene, Eli Lilly, MoonLake, Novartis, Pfizer and UCB Pharma, Désirée van der Heijde Consultant of: AbbVie, Bayer, BMS, Cyxone, Eisai, Galapagos, Gilead, GSK, Janssen, Eli Lilly, Novartis, Pfizer and UCB Pharma, Employee of: Director of Imaging Rheumatology BV, Marina Magrey Consultant of: AbbVie, Eli Lilly, Novartis, Pfizer and UCB Pharma, Grant/research support from: AbbVie and UCB Pharma, Walter P Maksymowych Consultant of: AbbVie, BMS, Boehringer-Ingelheim, Celgene, Eli Lilly, Galapagos, Janssen, Novartis, Pfizer and UCB Pharma, Grant/research support from: AbbVie and Pfizer;educational grants from AbbVie, Janssen, Novartis and Pfizer, Employee of: Chief Medical Officer for CARE ARTHRITIS, Tetsuya Tomita Speakers bureau: AbbVie, Astellas, BMS, Eisai, Eli Lilly, Janssen, Kyowa Kirin, Mitsubishi-Tanabe, Novartis and Pfizer, Consultant of: AbbVie, Eli Lilly, Gilead, Novartis and Pfizer, Huji Xu Speakers bureau: AbbVie, Janssen, Novartis, Pfizer and UCB Pharma, Consultant of: AbbVie, Beigene, BioMap, IASO, Pfizer and UCB Pharma, Employee of: Clinical investigator for Peking-Tsinghua Center for Life Sciences, Marga Oortgiesen Shareholder of: UCB Pharma, Employee of: UCB Pharma, Ute Massow Employee of: UCB Pharma, Carmen Fleurinck Employee of: UCB Pharma, Alicia Ellis Employee of: UCB Pharma, Thomas Vaux Employee of: UCB Pharma, julie smith Employee of: UCB Pharma, Alexander Marten Employee of: UCB Pharma, Lianne S. Gensler Consultant of: AbbVie, Acelyrin, Eli Lilly, Fresenius Kabi, Janssen, Novartis, Pfizer and UCB Pharma, Grant/research support from: Novartis and UCB Pharma paid to institution.
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Background: Some factors associated with severe COVID-19 outcomes have been identifed in patients with psoriasis (PsO) and infammatory/autoimmune rheumatic diseases, namely older age, male sex, comorbidity burden, higher disease activity, and certain medications such as rituximab. However, information about specifcities of patients with PsO, psoriatic arthritis (PsA) and axial spondyloarthritis (axSpA), including disease modifying anti-rheumatic drugs (DMARDs) specifcally licensed for these conditions, such as IL-17 inhibitors (IL-17i), IL-23/IL-12 + 23 inhibitors (IL-23/IL-12 + 23i), and apremilast, is lacking. Objectives: To determine characteristics associated with severe COVID-19 outcomes in people with PsO, PsA and axSpA. Methods: This study was a pooled analysis of data from two physician-reported registries: the Psoriasis Patient Registry for Outcomes, Therapy and Epidemiology of COVID-19 Infection (PsoProtect), comprising patients with PsO/PsA, and the COVID-19 Global Rheumatology Alliance (GRA) registry, comprising patients with PsA/axSpA. Data from the beginning of the pandemic up to 25 October, 2021 were included. An ordinal severity outcome was defned as: 1) not hospitalised, 2) hospitalised without death, and 3) death. A multivariable ordinal logistic regression model was constructed to assess the relationship between COVID-19 severity and demographic characteristics (age, sex, time period of infection), comorbidities (hypertension, other cardiovascular disease [CVD], chronic obstructive lung disease [COPD], asthma, other chronic lung disease, chronic kidney disease, cancer, smoking, obesity, diabetes mellitus [DM]), rheumatic/skin disease (PsO, PsA, axSpA), physician-reported disease activity, and medication exposure (methotrexate, lefunomide, sulfasalazine, TNFi, IL17i, IL-23/IL-12 + 23i, Janus kinase inhibitors (JAKi), apremilast, glucocorticoids [GC] and NSAIDs). Age-adjustment was performed employing four-knot restricted cubic splines. Country-adjustment was performed using random effects. Results: A total of 5008 individuals with PsO (n=921), PsA (n=2263) and axSpA (n=1824) were included. Mean age was 50 years (SD 13.5) and 51.8% were male. Hospitalisation (without death) was observed in 14.6% of cases and 1.8% died. In the multivariable model, the following variables were associated with severe COVID-19 outcomes: older age (Figure 1), male sex (OR 1.53, 95%CI 1.29-1.82), CVD (hypertension alone: 1.26, 1.02-1.56;other CVD alone: 1.89, 1.22-2.94;vs no hypertension and no other CVD), COPD or asthma (1.75, 1.32-2.32), other lung disease (2.56, 1.66-3.97), chronic kidney disease (2.32, 1.50-3.59), obesity and DM (obesity alone: 1.36, 1.07-1.71;DM alone: 1.85, 1.39-2.47;obesity and DM: 1.89, 1.34-2.67;vs no obesity and no DM), higher disease activity and GC intake (remission/low disease activity and GC intake: 1.96, 1.36-2.82;moderate/severe disease activity and no GC intake: 1.35, 1.05-1.72;moderate/severe disease activity and GC intake 2.30, 1.41-3.74;vs remission/low disease activity and no GC intake). Conversely, the following variables were associated with less severe COVID-19 outcomes: time period after 15 June 2020 (16 June 2020-31 December 2020: 0.42, 0.34-0.51;1 January 2021 onwards: 0.52, 0.41-0.67;vs time period until 15 June 2020), a diagnosis of PsO (without arthritis) (0.49, 0.37-0.65;vs PsA), and exposure to TNFi (0.58, 0.45-0.75;vs no DMARDs), IL17i (0.63, 0.45-0.88;vs no DMARDs), IL-23/IL-12 + 23i (0.68, 0.46-0.997;vs no DMARDs) and NSAIDs (0.77, 0.60-0.98;vs no NSAIDs). Conclusion: More severe COVID-19 outcomes in PsO, PsA and axSpA are largely driven by demographic factors (age, sex), comorbidities, and active disease. None of the DMARDs typically used in PsO, PsA and axSpA, were associated with severe COVID-19 outcomes, including IL-17i, IL-23/IL-12 + 23i, JAKi and apremilast.
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Background: Waning levels of anti-SARS-CoV-2 Spike (S) antibodies, particularly neutralizing, are associated with the risk of breakthrough infections. The impact of immunosuppression on antibody decay kinetics is unclear. We have previously reported a strong correlation between total anti-S antibodies and neutralization titers. Here, we report the decay kinetics in anti-S IgG antibodies across various immunosuppressive medications used in patients with CID. Methods: We recruited a volunteer sample of adults with confirmed CID eligible for SARS-CoV-2 vaccination in a prospective observational cohort study at two United States CID referral centers. All study participants received two doses of mRNA vaccine to SARSCoV- 2. To assess the durability of immunogenicity, anti-S IgG were measured at 7 (visit 3), 90 (visit 5), and 120 (visit 6) days after the 2nd dose of mRNA vaccine. The impact of various medications was assessed in repeated measures mixed model with the patient as a random effect, adjusting for gender and age, and using the group of patients on sulfasalazine, NSAIDs, or on no medications as a reference, using STATA. The half-life of anti-S IgG for a 50 percent reduction in titers at visit 3 was calculated for each medication class. Results: A total of 316 CID patients were recruited of which 148 (46.8%) had inflammatory bowel disease (IBD). Durability was assessed in 495 samples obtained in 293 patients. The arithmetic mean of anti-S IgG antibodies for each medication class at visits 3, 5, and 6 is shown in Figure 1. Overall, a 2-fold reduction in titers was observed from 7 to 90 days and 90 to 120 days (Table 1). The strongest decline was observed among patients on B cell depleting/ modulating therapies followed by those on combinations of biologics and/or small molecules and antimetabolites (methotrexate, leflunomide, thiopurines, mycophenolate mofetil, and teriflunomide). There was modest decline seen with TNFi (half-life 430.5 days, -2.15, 95% CI - 4.31 to - 1.07, p = 0.03). There was also a modest, but not significant, decline seen with Janus Kinase inhibitor (JAKi). No decline was seen with anti-IL-23 or anti-integrin medication classes. Conclusions: Antibody decay in patients with CID is not observed in patients on anti-integrins or anti-IL-23 while it is seen among patients on TNFi, JAKi, antimetabolites, and combinations of biologics and/or small molecules. Our data and those from other cohorts may be used to prioritize medication classes for boosting immunogenicity with additional doses of vaccination against SARS-CoV-2. Collection of antibody titers after booster doses is currently ongoing.(Table Presented) (Figure Presented) Figure 1: Durability of anti-spike IgG antibodies after vaccination against SARS-CoV-2 in patients with Chronic Inflammatory Disease
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Background: Patients with autoimmune disease often require immunosuppressive medications that may increase their risk of developing severe illness from COVID-19. The importance of immunization in this population is particularly high. While the studied vaccines show efficacy in the general population, nothing is known regarding the immune response or safety profile in patients with autoimmune disease and those taking immunomodulatory medications. Objectives: To assess the safety profile and degree of adverse events from SARS-CoV-2 vaccines in patients with autoimmune and inflammatory disease. Methods: This study is part of a larger prospective observational study examining the immunogenicity and safety profile of the SARS-CoV-2 vaccine in patients with immune-mediated diseases taking immunomodulatory medications. Adults with an immune-mediated disease scheduled to receive either a Pfizer or Moderna SARS-COV-2 vaccine were enrolled in this study. Subjects participated in 3 study visits (pre-vaccine, dose 1 (D1) and dose 2 (D2)) where blood, for immunologic assays, and clinical data were collected. Assessments of adverse events (AE), including local and systemic symptoms and validated degree of AE severity were solicited within 7 days of receiving each vaccine dose. Results: To date, 70 patients with autoimmune and inflammatory disease have been enrolled. Demographic and clinical characteristics are shown in Table 1. Distribution of current immunomodulatory medications included prednisone 18.6%, conventional synthetic DMARD 55.7%, targeted synthetic DMARD 4.3%, and biologic DMARD 68.5%. Almost all participants experienced an adverse event following vaccination (D1 96%, D2 100%). Following D1 AEs were generally mild (76.5%) whereas following D2 a large portion of patients experienced AEs that were moderate (47.8%) and severe (30.5%). Injection site pain was the most common AE following both doses followed by arthralgias (D1 21.6%, D2 78.2%), fever (D1 21.6%, D2 70%) and fatigue (D1 21.6%, D2 65.2%) (Figure 1). Conclusion: Patients with autoimmune and inflammatory disease experience a significant burden of adverse events following SARS-CoV-2 vaccination with both frequency and severity appearing greater than that of the reported results from the vaccine clinical trials. Several of the endorsed AEs such as fever, fatigue and arthralgias can also be commonly seen in rheumatologic diseases, mimicking flares. While SARS-CoV-2 immunization is crucial in patients with autoimmune diseases, this study demonstrates the importance of understanding the AEs experienced by this patient population to better inform patients of possible expected side effects of SARS-CoV-2 vaccination and further management in the future.