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Predictors of DAPSA28 remission in patients with psoriatic arthritis initiating a first TNF inhibitor: results from 13 European registries

  • Louise Linde*
  • , Lykke M. Ørnbjerg
  • , Stylianos Georgiadis
  • , Simon H. Rasmussen
  • , Ulf Lindström
  • , Johan Askling
  • , Brigitte Michelsen
  • , Daniela di Giuseppe
  • , Johan K. Wallman
  • , Bjorn Gudbjornsson
  • , Thorvardur Jon Love
  • , Dan C. Nordström
  • , Timo Yli-Kerttula
  • , Lucie Nekvindová
  • , Jiří Vencovský
  • , Florenzo Iannone
  • , Alberto Cauli
  • , Anne Gitte Loft
  • , Bente Glintborg
  • , Karin Laas
  • Ziga Rotar, Matija Tomšič, Gary J. MacFarlane, Burkhard Möller, Marleen van de Sande, Catalin Codreanu, Michael J. Nissen, Merih Birlik, Sukran Erten, Maria J. Santos, Elsa Vieira-Sousa, Merete L. Hetland, Mikkel Østergaard
*Corresponding author for this work
  • Copenhagen Center for Arthritis Research (COPECARE)
  • University of Copenhagen
  • University of Gothenburg
  • Karolinska Institutet
  • Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
  • Research Unit, Sørlandet Hospital, Kristiansand, Norway
  • Lund University
  • Landspitali University Hospital
  • University of Iceland
  • Helsinki University Hospital
  • University of Turku
  • Institute of rheumatology
  • Charles University
  • University of Bari
  • University of Cagliari
  • Aarhus University
  • East-Tallinn Central Hospital
  • University of Ljubljana
  • University of Aberdeen
  • University of Bern
  • Department of Rheumatology, Amsterdam Rheumatology Immunology Center (ARC), Amsterdam, The Netherlands
  • Carol Davila University of Medicine and Pharmacy
  • University of Geneva
  • Dokuz Eylul University
  • Yildirim Beyazit Universitesi
  • Hospital Garcia de Orta
  • Sociedade Portuguesa de Reumatologia
  • Serviço de Neurologia, Departamento de Neurociências e Saúde Mental, Hospital Santa Maria/Centro Hospitalar Lisboa Norte, Lisboa, Portugal

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Objectives: In bio-naïve 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), ≥10 years: 1.66 (1.26-2.20); men vs women: 1.85 (1.54-2.23); CRP of >10 vs ≤10 mg/l: 1.52 (1.22-1.89) and 1mm 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.
Original languageEnglish
Pages (from-to)751-764
Number of pages14
JournalRheumatology (United Kingdom)
Volume63
Issue number3
DOIs
Publication statusPublished - 1 Mar 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • DAPSA28
  • PsA
  • drug retention
  • first TNF-inhibitor
  • predictors
  • real-world evidence

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