4 research outputs found

    Predictors of ASDAS-CRP inactive disease in axial spondyloarthritis during treatment with TNF-inhibitors : Data from the EuroSpA collaboration

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    Correction: Volume 58, Article Number 152141 DOI: 10.1016/j.semarthrit.2022.152141 Published: FEB 2023Objectives: 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.Peer reviewe

    Predictors of ASDAS-CRP inactive disease in axial spondyloarthritis during treatment with TNF-inhibitors: Data from the EuroSpA collaboration

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    ObjectivesIn 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.MethodsBaseline demographic and clinical characteristics were collected. Outcomes were investigated per registry and in pooled data using logistic regression analyses on multiply imputed data.ResultsThe 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), respectivelyConclusionCommon 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.</p

    Unintentional Monotherapy in Rheumatoid Arthritis Patients Receiving Tofacitinib and Drug Survival Rate of Tofacitinib

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    ObjectiveTo determine the rate of unintentional monotherapy (UM; switching to monotherapy from combination therapy of patients' own volition) in rheumatoid arthritis patients receiving tofacitinib and to evaluate tofacitinib survival rate.MethodsThis national, multicenter study included patients' data from the TURKBIO Registry. Demographics, clinical characteristics, disease duration and activity, comorbidities, and treatments were analyzed.ResultsData of 231 rheumatoid arthritis patients (84.8% female, median age, 56 years) were included; 153 were initially prescribed combination therapy and continued to their therapies; 31 were initially prescribed combination therapy but switched to monotherapy on their own volition (UM); 21 were initially prescribed monotherapy and switched to combination therapy; 26 were initially prescribed monotherapy and continued to their therapies. The rate of comorbidities at the time of data retrieval was higher in the UM group than in the combination group (83.3% vs. 60.3%, p = 0.031). Presence of comorbidities was a significant factor affecting switching to monotherapy (p = 0.039; odds ratio, 3.29; 95% confidence interval, 1.06-10.18). The combination and UM groups did not differ regarding remission rate assessed by Disease Activity Score 28-joint count C-reactive protein (60.5% and 70%, respectively; p = 0.328). Drug survival rates of the UM and combination groups did not differ. The median drug survival duration of tofacitinib was 27+ months with 1- and 4-year drug survival rates of 89.6% and 60.2%, respectively, in the UM group.ConclusionsAlthough 13.4% of the study population started monotherapy unintentionally, drug survival and remission rates of the UM and combination groups were not different. Comorbidity was a factor affecting transition from combination therapy to monotherapy

    data from the EuroSpA collaboration’ [Seminars in Arthritis and Rheumatism 56 (2022) 1-13/152081] (Seminars in Arthritis and Rheumatism (2022) 56, (S0049017222001329), (10.1016/j.semarthrit.2022.152081))

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    The authors regret that the following incorrect values have been published in the original paper: In the abstract: Line 11-12: “age, per year: 0.97 (0.97-0.98)” should be “age, per year: 0.98 (0.97-0.99)” Line 12: “men vs. women: 1.88 (1.60-2.22)” should be “men vs. women: 1.79 (1.51-2.12)” Line 12: “current vs. non-smoking: 0.76 (0.63-0.91)” should be “current vs. non-smoking: 0.72 (0.59-0.87)” Line 12-13: “HLA-B27 positive vs. negative: 1.51 (1.20-1.91)” should be “HLA-B27 positive vs. negative: 1.65 (1.27-2.15)” Line 14: “CRP>10 vs. ≤10 mg/l: 1.49 (1.25-1.77)” should be “CRP>10 vs. ≤10 mg/l: 1.36 (1.14-1.62)” Line 15-16: “fatigue and spinal pain: 0.99 (0.99-1.00) and 0.99 (0.99-1.99)” should be “fatigue and spinal pain: 0.99 (0.99-0.99) and 0.99 (0.99-1.00)” In Table 3, row with EPV (row 3 after header/subheader): Column with header/subheader “Czech Republic/ATTRA”: EPV 15.9 should be 13.2 Column with header/subheader “Netherlands/ARC”: EPV 1 should be 1.0 Column with header/subheader “Portugal/Reuma.pt”: EPV 14.7 should be 13.1 Column with header/subheader “Romania/RRBR”: EPV 2.8 should be 2.4 Column with header/subheader “Turkey/TURKBIO”: EPV 12.9 should be 11.8 In Table 5, row with “Patient global score, mm” (row 10 counting from row with “Age at treatment start, years”): In the column with header: “Analysis of 12-month drug retention” and subheader: “Univariate”, the value for the odds ratio (OR) is missing. The OR should be 0.99. The authors would like to apologise for any inconvenience caused.publishersversionpublishe
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