ALDEN, an Algorithm for Assessment of Drug Causality in Stevens–Johnson Syndrome and Toxic Epidermal Necrolysis: Comparison With Case–Control Analysis
Université Paris-Est Créteil · Université Paris Cité · +6 more institutions
Abstract
Epidermal necrolysis (EN)--either Stevens-Johnson syndrome (SJS) or toxic EN (TEN)--is a severe drug reaction. We constructed and evaluated a specific algorithm, algorithm of drug causality for EN (ALDEN), in order to improve the individual assessment of drug causality in EN. ALDEN causality scores were compared with those from the French pharmacovigilance method in 100 cases and the case-control results of the EuroSCAR study. Scores attributed by ALDEN segregated widely. ALDEN pointed to a "probable" or "very probable" causality in 69/100 cases as compared to 23/100 with the French method (P
Citation impact
- FWCI
- 13.29
- Percentile
- 100%
- References
- 28
Authors
10- BSB. SassolasCorresponding
Université Paris-Est Créteil, Université Paris Cité, Centre Hospitalier Régional Universitaire de Brest
- CHCynthia Haddad
Université Paris-Sud, Université Paris-Est Créteil, Université Paris Cité
- MMMaja Mockenhaupt
University Medical Center Freiburg
- ADAriane Dunant
Université Paris-Sud, Université Paris-Est Créteil, Université Paris Cité, Institut Gustave Roussy
- YLY Liss
University Medical Center Freiburg
Topics & keywords
- Toxic epidermal necrolysis
- Causality (physics)
- Pharmacovigilance
- Medicine
- Drug
- Pediatrics
- Dermatology
- Psychiatry
- Good health and well-being