A Bayesian Network Meta-Analysis of the Effect of Targeted Therapies on the Total Length of Hospital Stay in Children with Drug-Induced Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis Syndrome.

Background: Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are rare potentially life-threatening hypersensitivity disorders characterized by widespread skin and mucosal involvement. However, there is no standardized evidence-based treatment to reduce the complications of SJS/TEN. This article aims to compare the efficacy of different treatments for pediatric SJS/TEN in terms of length of hospital stay (LOS) using a Bayesian network meta-analysis (NMA). A Bayesian NMA is used to compare and combine evidence from multiple studies and allows clinicians to estimate the relative effectiveness of different treatments/interventions while accounting for heterogeneity in the available evidence. Methods: We conducted a comprehensive electronic database search for studies compatible with our inclusion criteria. Six studies with 103 patients were included in the NMA; of them, 37 patients were treated with intravenous immunoglobulin (IVIG), 37 with systemic corticosteroids (CS), 23 with IVIG + CS, and 3 with Etanercept (ET) + CS. Patients with a median age of 10 years were included in the study. Results: CS had the highest probability of being the most optimal treatment for SJS/TEN in terms of shorter LOS based on the Surface Under the Cumulative Ranking curve levels, and CS + IVIG was associated with a statistically nonsignificant trend toward shorter LOS than IVIG alone. Remarkably, none of the treatments showed a significant benefit over the other interventions in terms of LOS. Conclusion: Current evidence suggests that coadministration of CS and IVIG may be associated with a shorter LOS than IVIG alone. Further research with larger randomized controlled trials is needed to reach a definitive conclusion about the efficacy of specific therapy on LOS in pediatric SJS/TEN and to establish more definitive treatment guidelines.

Evaluation of different protocols for classification of pediatric hypersensitivity reactions to nonsteroidal anti-inflammatory drugs: Children with underlying allergic disease should be a separate subgroup.

Background: Different recommendations for the classification of nonsteroidal anti-inflammatory drug hypersensitivity reactions (NSHSR) in children have been reported but a shortage still exists. Objective: The aim of the present study was to evaluate the inclusivity of two European Academy of Allergy and Clinical Immunology (EAACI) position paper classifications and to characterize the factors that underlie classification discordance in children. Methods: Patients with a history of NSHSR were evaluated with a standardized diagnostic protocol according to EAACI/ European Network for Drug Allergy (ENDA) recommendations. Children were classified and compared according to the EAACI 2013 and the pediatric EAACI/ENDA 2018 classifications. Subjects who were unclassified and those who were classified were compared. Results: Of 232 patients (median [interquartile range] age 6 years (4-11 years) with a history of NSHSR, 52 (22.4%) were confirmed with diagnostic tests. Thirty-six (69.2%) were classified as having cross-intolerance, whereas 16 patients (30.8%) were classified as selective responders. Eleven of the confirmed cases (21.2%) could not be categorized according to the 2013 EAACI classification, whereas this number was six adolescents (11.5%) when the 2018 EAACI/ENDA pediatric classification was used. Patients who were unclassified and who were all cross-intolerant were more likely to have atopic sensitization (p = 0.001) and asthma as an underlying disease (p = 0.03), higher serum eosinophil count (p = 0.022), and total immunoglobulin E levels (p = 0.007) compared with those who fit well into the classification. In multivariate regression analysis, the presence of atopic sensitization (adjusted odds ratio 20.36 [95% confidence interval, 2.14-193.48]; p = 0.009) was found to be the only significant underlying factor for an unclassified and/or blended phenotype. Conclusion: The 2013 EAACI classification resulted in a high rate of subjects who were unclassified. Despite better clinical utility, the recent pediatric EAACI/ENDA classification system still has shortcomings in terms of inclusivity for adolescents. Mostly, children with underlying allergic diseases could not be classified by the current guidelines. We propose to classify them as a separate pediatric cross-intolerance subgroup because the underlying mechanism may involve more than cyclooxygenase 1 inhibition.