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1000 Titel
  • Comparative risk of infections among real-world users of biologics for juvenile idiopathic arthritis: data from the German BIKER registry
1000 Autor/in
  1. Thiele, Franz |
  2. Klein, Ariane |
  3. Windschall, Daniel |
  4. Hospach, Toni |
  5. Foeldvari, Ivan |
  6. Minden, Kirsten |
  7. Weller-Heinemann, Frank |
  8. Horneff, Gerd |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-02-16
1000 Erschienen in
1000 Quellenangabe
  • 41(4):751-762
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00296-020-04774-3 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952348/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • To examine whether treatment with interleukin (IL)-1-, IL-6-, tumour necrosis factor α (TNFα)-inhibitors or Abatacept is associated with an increased risk of common infections, infections requiring hospitalization (SAE) or opportunistic infections among real-world juvenile idiopathic arthritis (JIA) patients. Furthermore, the influence of other patient-related covariates on the occurrence of infections was investigated. Patients diagnosed with JIA and treated with biologics were selected from the German BIKER registry. Incidence rates (IR) of infections per 100 person years were calculated and compared between the different cohorts. Using multivariate logistic regression, odds ratios with 95% confidence intervals (CI) were determined for the influence of patient-related covariates (age, diagnosis, laboratory data, concomitant medication, JIA activity, comorbidities, and premedication) on the occurrence of infections. 3258 patients entered the analysis. A total of 3654 treatment episodes were distributed among TNFα- (Etanercept, Adalimumab, Golimumab, Infliximab, n = 3044), IL-1- (Anakinra, Canakinumab, n = 105), IL-6- (Tocilizumab, n = 400) and T-cell activation inhibitors (Abatacept, n = 105). 813 (22.2%) patients had at least one infection, 103 (2.8%) patients suffered from an SAE infection. Both common and SAE infections were significantly more frequent in IL-1 (IR 17.3, 95% CI 12.5/24 and IR 4.3, 95% CI 2.3/8.3) and IL-6 cohort (IR 16.7, 95% CI 13.9/20 and IR 2.8, 95% CI 1.8/4.4) compared to TNFα-inhibitor cohort (IR 8.7, 95% CI 8.1/9.4 and IR 1, 95% CI 0.8/1.3). When comparing the influencing factors for various infectious diseases, the use of corticosteroids, younger age, cardiac comorbidities and higher JIA-activity are the most striking risk factors. Relative to TNFα inhibitors and Abatacept, IL-1 and IL-6 inhibitors were associated with an increased risk of common and SAE infections. The influencing covariates identified may be helpful for the choice of a suitable biologic to treat JIA.
1000 Sacherschließung
lokal Immunoglobulin G/therapeutic use [MeSH]
lokal Biological Factors/therapeutic use [MeSH]
lokal Germany/epidemiology [MeSH]
lokal Receptors, Tumor Necrosis Factor/therapeutic use [MeSH]
lokal Arthritis, Juvenile/drug therapy [MeSH]
lokal Abatacept/therapeutic use [MeSH]
lokal Opportunistic Infections/chemically induced [MeSH]
lokal Male [MeSH]
lokal Infections/epidemiology [MeSH]
lokal Tumor Necrosis Factor-alpha [MeSH]
lokal Interleukin-6/therapeutic use [MeSH]
lokal Biological Products/therapeutic use [MeSH]
lokal Female [MeSH]
lokal Opportunistic Infections/epidemiology [MeSH]
lokal Biologics
lokal Immunoglobulin G/adverse effects [MeSH]
lokal Infections
lokal Humans [MeSH]
lokal Interleukin-1/therapeutic use [MeSH]
lokal Observational Research
lokal Incidence [MeSH]
lokal Safety
lokal Arthritis, Juvenile/complications [MeSH]
lokal Antirheumatic Agents/therapeutic use [MeSH]
lokal Arthritis, Juvenile/blood [MeSH]
lokal Immunologic Factors/therapeutic use [MeSH]
lokal Juvenile idiopathic arthritis
lokal Biological Factors/adverse effects [MeSH]
lokal Registries [MeSH]
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-6689-8827|https://orcid.org/0000-0001-9771-8710|https://orcid.org/0000-0003-3156-5103|https://orcid.org/0000-0001-5656-9165|https://orcid.org/0000-0003-0659-5298|https://orcid.org/0000-0003-2775-0111|https://orcid.org/0000-0002-4770-1256|https://orcid.org/0000-0001-5491-7832
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