Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS): A National Analysis of Data from 10-Year Post-marketing Surveillance

Francesca Renda, Giovanni Landoni, Renato Bertini Malgarini, Alessandro Assisi, Maria Luisa Azzolini, Marta Mucchetti, Giuseppe Pimpinella, Luca Pani

Research output: Contribution to journalArticle

Abstract

Introduction: Drug reaction with eosinophilia and systemic symptoms (DRESS) is a rare, severe and potentially fatal cutaneous adverse drug reaction (the mortality rate is up to 10 %) associated with numerous and apparently heterogeneous drugs. The aetiology is unknown. Objective: To report Italian cases of DRESS over a 10-year period. Methods: We searched the National Pharmacovigilance Network (NPN) for the term ‘drug reaction with eosinophilia and systemic symptoms’ from 1 January 2004 to 1 January 2014, to identify all reports of DRESS. Each case was checked to avoid duplication. Results: In the NPN, we identified 91 serious cases of DRESS: 68 were spontaneous, still-unpublished reports, while 23 additional cases were derived from screening of the scientific literature, performed by marketing authorization holders. Notably, the single common element linking all cases of DRESS was intake of a drug containing an aromatic ring. Conclusion: Thanks to the largest national DRESS case series ever reported, we were able to hypothesize, for the first time, that there is an association between use of drugs containing an aromatic ring in their chemical structure and DRESS. This might aid understanding of the aetiology of DRESS and facilitate diagnosis.

Original languageEnglish
Pages (from-to)1211-1218
Number of pages8
JournalDrug Safety
Volume38
Issue number12
DOIs
Publication statusPublished - Dec 1 2015

ASJC Scopus subject areas

  • Pharmacology (medical)
  • Pharmacology
  • Toxicology

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    Renda, F., Landoni, G., Bertini Malgarini, R., Assisi, A., Azzolini, M. L., Mucchetti, M., Pimpinella, G., & Pani, L. (2015). Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS): A National Analysis of Data from 10-Year Post-marketing Surveillance. Drug Safety, 38(12), 1211-1218. https://doi.org/10.1007/s40264-015-0343-3