4.3 Article

Use of off-label doses is frequent in biologic therapy for moderate to severe psoriasis: A cross-sectional study in clinical practice

期刊

JOURNAL OF DERMATOLOGICAL TREATMENT
卷 26, 期 6, 页码 502-506

出版社

TAYLOR & FRANCIS LTD
DOI: 10.3109/09546634.2015.1034070

关键词

Biologic; dose reduction; intensification; psoriasis; therapy

资金

  1. Fundacion Academia Espanola de Dermatologia y Venereologia from Spanish agency of medicines and medical devices (Agencia Espanola de Medicamentos y Productor Sanitarios - AEMPS)
  2. Abbott
  3. Pfizer
  4. MSD
  5. Janssen
  6. Merck/Schering-Plough Pharmaceuticals
  7. Abbott Laboratories
  8. Janssen Pharmaceuticals Inc.
  9. Pfizer Inc.
  10. Serono Pharmaceuticals Inc.
  11. Pfizer-Wyeth

向作者/读者索取更多资源

Introduction: Biologic medications increase dramatically the burden of a chronic and high prevalent disease like psoriasis. The objective of the study was to quantify the use of dose reduction or dose escalation strategies, not reflected in the drug summary of product characteristics, in clinical practice. Methods: An observational, cross-sectional study of a subset of patients from the Spanish Registry for Systemic Treatments in Psoriasis (BIOBADADERM) treated for over six consecutive months with the same biologic agent. Results: The study included 637 patients. At the cut-off date, the initial dose had been reduced in 223 patients (35%; 95% CI: 31.3-38.9%) and escalated in 46 (7.2%; 95% CI: 5.3-9.5%). When compared with the patients treated with standard doses, the patients on reduced doses had a lower PASI score at the cut-off date (a mean 2.6 versus 1; -1.6 points) and exhibited greater improvement in PASI since the start of biologic therapy (mean reduction over baseline 75% versus 87%). By contrast, the patients receiving an escalated dose had higher PASI scores (2.6 versus 8.0) and showed less improvement in PASI (75% versus 46.8%). Conclusion: Off-label doses of biologic agents for psoriasis are frequent in clinical practice. This information is especially relevant for pharmacoeconomic models.

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