628
Views
45
CrossRef citations to date
0
Altmetric
Systemic treatments

Clinical predictors of non-response to any tumor necrosis factor (TNF) blockers: a retrospective study

, , &
Pages 73-74 | Received 19 Mar 2013, Accepted 08 Apr 2013, Published online: 21 May 2013
 

Abstract

Background: Anti-tumor necrosis factor (TNF)-α therapies represent a significant innovation in therapy for psoriasis. However, a significant number of psoriasis patients do not respond well to TNF blockers or show an insufficient control of disease activity on a long-term basis. Objective/aim: The aim of this study was to recognize specific clinical factors that could be associated with a non-response to any available TNF blockers in patients with moderate-to-severe plaque psoriasis. Materials and methods: The authors reviewed the medical records of all patients who had started etanercept, infliximab, adalimumab and had achieved a minimum of 24 months follow-up. The authors identified subjects who were not responsive to all available anti-TNF agents, whatever the chronology of their use. Results: A total of 110 patients were retrospectively examined. Thirteen patients were identified as “non-responders” to all available TNF-α blockers. Current smoking at the start of anti-TNF therapy was associated with non-response to TNF blockers. The group of “non-responders” presented a high mean body mass index and a high baseline PASI score with respect to the group of responders. Conclusions: The data showed that the majority of non-responder patients were smokers, overweight or obese and had a high baseline PASI score. Concomitant arthritis was not significantly associated with non-response.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.