1,446
Views
35
CrossRef citations to date
0
Altmetric
SJS/TEN

Biologic TNF-alpha inhibitors in the treatment of Stevens-Johnson syndrome and toxic epidermal necrolysis: a systemic review

, , , &
Pages 66-73 | Received 02 Nov 2018, Accepted 21 Jan 2019, Published online: 19 Feb 2019
 

Abstract

Background: Stevens-Johnson syndrome and toxic epidermal necrolysis (SJS-TEN) is one of severe cutaneous adverse reactions with low morbidity but high mortality. Different systemic immunomodulating treatments are proposed but still remain controversial. Tumor necrosis factor (TNF)-alpha is long thought to be a vital mediator of epithelial cell death in SJS-TEN, indicating a potential target for therapy.

Objective: The aim of this systemic review is to evaluate the efficacy and safety of biologic TNF-alpha inhibitors in the treatment of SJS-TEN.

Methods: We reviewed the published literature by searching from PubMed, EMBASE, Web of Science and ClinicalTrial.gov. A total of 27 articles fulfilling our inclusion criteria were found and analyzed.

Results: There were 21 case reports, four case series and two randomized controlled trials (RCTs) on the biologic TNF-alpha inhibitors for SJS-TEN therapy, comprising 91 patients. TNF-alpha inhibitors were used as monotherapy, second-line therapy or combination therapy. Among them, 79 patients (86.8%) responded well and discharged with few side effects and complications.

Conclusions: Biologic TNF-alpha inhibitors are a safe and effective treatment for SJS-TEN. But further, larger RCTs need to be conducted to provide more evidence for clinical application.

Disclosure statement

No potential conflict of interest was reported by the authors.

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.