Pediatric drug reaction with eosinophilia and systemic symptoms: A 12-year retrospective study in a tertiary center.
Susheera ChatproedpraiNisha TiasiriKaraked ChantawarangulSiriwan WananukulPublished in: The Journal of dermatology (2024)
Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome is a rare and severe adverse drug reaction involving multiple organs. Data on DRESS syndrome among children are currently limited. The purpose of this study was to determine the clinical features, causative drugs, systemic organ involvement, laboratory findings, disease severity score, and treatment outcomes in pediatric DRESS patients. The medical records of all pediatric DRESS patients, based on the RegiSCAR diagnostic criteria and admitted to King Chulalongkorn Memorial Hospital, Bangkok, Thailand from January 2010 to December 2021, were reviewed. Twenty-two cases were identified (males 54.5%) with a median age of 9.5 years. Anticonvulsants (54.5%) and antibiotics (27.3%) were the leading culprit drugs. Skin rash was reported in all cases, followed closely by liver involvement (95.5%). Eosinophilia and atypical lymphocytosis were identified in 54.5% and 31.8% of cases, respectively. The median latency period was 17.5 days. Liver enzyme elevation was detected at an average onset of 20.0 days and hepatocellular type was the most common pattern of liver injury. Nineteen patients (86.4%) were treated with systemic corticosteroids with prednisolone being the most prescribed medication. One case developed Graves' disease after DRESS and multiple relapses of DRESS. One case (4.5%) died due to refractory status epilepticus that was unrelated to DRESS. Anticonvulsants were the major cause of DRESS in pediatric patients. High suspicion for DRESS is crucial in patients receiving these drugs and presenting with fever, rash, and internal organ involvement.
Keyphrases
- drug induced
- liver injury
- end stage renal disease
- adverse drug
- newly diagnosed
- ejection fraction
- chronic kidney disease
- healthcare
- prognostic factors
- emergency department
- peritoneal dialysis
- electronic health record
- young adults
- machine learning
- case report
- patient reported outcomes
- early onset
- patient reported
- big data