Pharmacovigilance signals of dupilumab among pediatric patients: A real‑world analysis based on the FAERS database

Dupilumab is effective for the treatment of moderate‑to‑severe type 2 inflammatory diseases; however, its real‑world safety profile in pediatric patients remains to be further clarified. This retrospective pharmacovigilance study analyzed U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) data from 2017 to 2025, including 44,593 reports where dupilumab was the primary suspect drug in children. Disproportionality analyses (ROR, PRR, BCPNN, MGPS), time-to-onset analysis, stratified analysis, and Weibull modeling assessed adverse event (AE) distribution and patterns. Results showed balanced sex distribution (male 50.1%, female 48.6%), with adolescents (12-17y) most common (45.3%), and report counts increasing over time. 93 positive safety signals were detected. The most common core AEs were rash (4,105 cases; ROR = 4.55, 95% CI: 4.38-4.72), injection site pain (3,582 cases; ROR = 8.59, 95% CI: 8.22-8.97), and skin exfoliation (1,834 cases; ROR = 3.41, 95% CI: 3.23-3.59). Potential unlisted signals included vitiligo (33 cases; ROR = 10.46, 95% CI: 6.52-16.78), skin depigmentation (32 cases; ROR = 13.04, 95% CI: 7.85-21.66), and eye color change (13 cases; ROR = 7.06, 95% CI: 3.54-14.11). Stratified analyses indicated distinct patterns of adverse‑event reporting across age and sex strata. Among cases with complete temporal information, most AEs occurred within 30d after dupilumab initiation, with a median time‑to‑onset of 14d. In conclusion, this large-scale spontaneous-reporting study detected potential safety signals in children. Given FAERS data limitations, the associations should be viewed as hypothesis-generating rather than confirmatory, and may inform future signal validation and prospective studies.

Authors

Institutions

Publication Details

Journal
Human Vaccines & Immunotherapeutics
Published
2026-09-04
DOI
https://doi.org/10.1080/21645515.2026.2727805
Primary Topic
Pharmacovigilance and Adverse Drug Reactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Pharmacovigilance signals of dupilumab among pediatric patients: A real‑world analysis based on the FAERS database

Ben Liu, Xueqing Ma, Jiaojiao Fan
Human Vaccines & Immunotherapeutics
Pharmacovigilance and Adverse Drug Reactions
article

Pharmacovigilance signals of dupilumab among pediatric patients: A real‑world analysis based on the FAERS database

Ben Liu, Xueqing Ma, Jiaojiao Fan
article en

Abstract

Dupilumab is effective for the treatment of moderate‑to‑severe type 2 inflammatory diseases; however, its real‑world safety profile in pediatric patients remains to be further clarified. This retrospective pharmacovigilance study analyzed U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) data from 2017 to 2025, including 44,593 reports where dupilumab was the primary suspect drug in children. Disproportionality analyses (ROR, PRR, BCPNN, MGPS), time-to-onset analysis, stratified analysis, and Weibull modeling assessed adverse event (AE) distribution and patterns. Results showed balanced sex distribution (male 50.1%, female 48.6%), with adolescents (12-17y) most common (45.3%), and report counts increasing over time. 93 positive safety signals were detected. The most common core AEs were rash (4,105 cases; ROR = 4.55, 95% CI: 4.38-4.72), injection site pain (3,582 cases; ROR = 8.59, 95% CI: 8.22-8.97), and skin exfoliation (1,834 cases; ROR = 3.41, 95% CI: 3.23-3.59). Potential unlisted signals included vitiligo (33 cases; ROR = 10.46, 95% CI: 6.52-16.78), skin depigmentation (32 cases; ROR = 13.04, 95% CI: 7.85-21.66), and eye color change (13 cases; ROR = 7.06, 95% CI: 3.54-14.11). Stratified analyses indicated distinct patterns of adverse‑event reporting across age and sex strata. Among cases with complete temporal information, most AEs occurred within 30d after dupilumab initiation, with a median time‑to‑onset of 14d. In conclusion, this large-scale spontaneous-reporting study detected potential safety signals in children. Given FAERS data limitations, the associations should be viewed as hypothesis-generating rather than confirmatory, and may inform future signal validation and prospective studies.

Human Vaccines & ImmunotherapeuticsVol. 22(1)
Nantong University (CN), Yancheng First People's Hospital (CN), Yancheng Second People's Hospital (CN), First Affiliated Hospital of Zhengzhou University (CN)
Zero hunger
Openalex Percentile: Top 12%
Pharmacovigilance and Adverse Drug Reactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.