Drug-associated psoriasis: a pharmacovigilance study based on the FAERS database

Area of Science:

• Pharmacovigilance
• Dermatology
• Drug Safety

Background:

• Drug-induced psoriasis is a growing concern.
• The range of medications causing psoriasis is not fully understood.

Purpose of the Study:

• To identify drugs associated with psoriasis using real-world pharmacovigilance data.
• To characterize the spectrum of medications potentially triggering psoriasis.

Main Methods:

• Disproportionality analyses were used to detect potential drug signals for psoriasis.
• Multivariable logistic regression and Bayesian shrinkage models assessed signal consistency.
• Stratified analyses examined signal robustness across demographics and reporter types.

Main Results:

• Thirty drugs showed significant associations with psoriasis across various classes.
• Included were anti-infectives, anti-inflammatories, cardiovascular, neuropsychiatric, hormonal, and respiratory agents.
• Bayesian correction and stratified analyses confirmed the robustness of most identified signals.

Conclusions:

• Multiple drug classes are associated with psoriasis signals in pharmacovigilance data.
• Highlights the importance of recognizing drug-associated psoriasis.
• Aids clinicians in medication review and risk stratification.