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  1. Yahya F, Gaffney K, Sengupta R
    Rheumatol Adv Pract, 2019;3(1):rkz012.
    PMID: 31432000 DOI: 10.1093/rap/rkz012
    Objectives: The aim was to define sub-optimal response to TNF inhibitors (TNFi), compare long-term drug survival rates and identify predictors of sub-optimal response in axial spondyloarthritis (axSpA) patients in a UK cohort.

    Methods: All axSpA patients attending two centres who commenced TNFi between 2002 and 2016 were included. Routinely recorded patient data were reviewed retrospectively. Patients with paired BASDAI at baseline, 3 and/or 6 months were included for analysis. Sub-optimal response was defined as achieving a ≥ 2-point reduction in BASDAI but not BASDAI50, post-treatment BASDAI remaining at ≥4, and in the opinion of the treating physician these patients demonstrated a meaningful clinical response.

    Results: Four hundred and ninety-nine patients were included: 82 (16.4%) patients were classified as having a sub-optimal response; 64 (78%) males, 78 (95.1%) AS and 55/67 (82.1%) HLA-B27 positive. Results are reported as the mean (s.d.). Time to diagnosis was 10 (8.6) years, age at diagnosis was 37 (11.7) years, and age at initiating index TNFi was 48 (11.1) years. Individual index TNFi were Humira (adalimumab, n = 41, 50%), Enbrel (etanercept, n = 27, 32.9%), Remicade (infliximab, n = 5, 6.1%), Simponi (golimumab, n = 3, 3.7%) and Cimzia (certolizumab pegol, n = 6, 7.3%). The rate of attrition was greater among sub-optimal responders at 2 and 5 years (P 

  2. Tang H, Singh BSM, Fong W
    Rheumatol Adv Pract, 2023;7(3):rkad084.
    PMID: 37881507 DOI: 10.1093/rap/rkad084
    OBJECTIVES: Axial spondyloarthritis (axSpA) is a chronic inflammatory rheumatic disease associated with significant morbidity. Fatigue, a widely recognized disease manifestation, has considerable impacts on patients' work productivity, physical function and mental well-being. However, the reported prevalence of fatigue varies across studies, and pooled data are currently lacking. We aimed to characterize the prevalence of fatigue in patients with axSpA and to identify factors associated with fatigue.

    METHODS: A systematic review and a meta-analysis were conducted to determine the global prevalence of fatigue in patients with axSpA. Databases including CINAHL, Embase, Medline, Cochrane Library, PubMed and Google Scholar were searched from inception until April 2023. Data were extracted, and the quality of studies was assessed. A pooled prevalence of fatigue was determined by using a random-effects model. Meta-analyses were used to determine the observed heterogeneity via subgroup analysis and associations between relevant predictors and the presence of fatigue.

    RESULTS: Thirty eligible articles were included in the study, including 7893 patients with axSpA. The pooled prevalence of fatigue in patients with axSpA was 0.56 (95% CI: 0.49, 0.63; I2 = 94.6%), with significant levels of heterogeneity. Among the factors of heterogeneity explored, the geographical region of the study (P = 0.0013) was significant for being a possible source. Poorer quality of life was associated with more fatigue (P 

  3. Yoshida A, Li Y, Maroufy V, Kuwana M, Sazliyana Shaharir S, Makol A, et al.
    Rheumatol Adv Pract, 2024;8(2):rkae028.
    PMID: 38524696 DOI: 10.1093/rap/rkae028
    OBJECTIVES: To investigate health-related quality of life in patients with idiopathic inflammatory myopathies (IIMs) compared with those with non-IIM autoimmune rheumatic diseases (AIRDs), non-rheumatic autoimmune diseases (nrAIDs) and without autoimmune diseases (controls) using Patient-Reported Outcome Measurement Information System (PROMIS) instrument data obtained from the second COVID-19 vaccination in autoimmune disease (COVAD-2) e-survey database.

    METHODS: Demographics, diagnosis, comorbidities, disease activity, treatments and PROMIS instrument data were analysed. Primary outcomes were PROMIS Global Physical Health (GPH) and Global Mental Health (GMH) scores. Factors affecting GPH and GMH scores in IIMs were identified using multivariable regression analysis.

    RESULTS: We analysed responses from 1582 IIM, 4700 non-IIM AIRD and 545 nrAID patients and 3675 controls gathered through 23 May 2022. The median GPH scores were the lowest in IIM and non-IIM AIRD patients {13 [interquartile range (IQR) 10-15] IIMs vs 13 [11-15] non-IIM AIRDs vs 15 [13-17] nrAIDs vs 17 [15-18] controls, P 

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