Variation of clinical manifestations according to culprit drugs in DRESS syndrome

Pharmacoepidemiol Drug Saf. 2019 Jun;28(6):840-848. doi: 10.1002/pds.4774. Epub 2019 May 1.

Abstract

Purpose: Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome is a rare but serious condition that systematically damages various internal organs through T-cell-mediated immunological drug reactions. We aimed to investigate whether clinical manifestations of DRESS syndrome differ according to culprit drugs.

Methods: We retrospectively analyzed data from 123 patients with probable/definite DRESS syndrome based on the RegiSCAR criteria (January 2011 to July 2016). The data were obtained from the Korean Severe Cutaneous Adverse Reaction Registry. Causality was assessed using the World Health Organization-Uppsala Monitoring Centre criteria. The culprit drugs were categorized as allopurinol, carbamazepine, anti-tuberculosis drug, vancomycin, cephalosporins, dapsone, and nonsteroidal anti-inflammatory drugs.

Results: Differences were observed among culprit drugs regarding the frequencies of hepatitis (P < 0.01), renal dysfunction (P < 0.0001), lymphadenopathy (P < 0.01), and atypical lymphocyte (P < 0.01). Latency period differed among culprit drugs (P < 0.0001), being shorter in vancomycin and cephalosporin. In terms of clinical severity, admission duration (P < 0.01) and treatment duration (P < 0.05) differed among culprit drugs, being longer in vancomycin and anti-tuberculosis drugs, respectively.

Conclusions: Based on the findings, clinical manifestations, including latency period and clinical severity, may differ according to culprit drugs in DRESS syndrome.

Keywords: biological variation; drug hypersensitivity syndrome; pharmacoepidemiology; symptom assessment.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Drug Hypersensitivity Syndrome / diagnosis*
  • Drug Hypersensitivity Syndrome / etiology
  • Female
  • Hepatitis / epidemiology*
  • Hepatitis / etiology
  • Humans
  • Lymphadenopathy / epidemiology*
  • Lymphadenopathy / etiology
  • Male
  • Middle Aged
  • Registries / statistics & numerical data
  • Renal Insufficiency / epidemiology*
  • Renal Insufficiency / etiology
  • Republic of Korea / epidemiology
  • Retrospective Studies
  • Severity of Illness Index