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Disproportionality analysis of sex-stratified adverse event signals in growth impairment: Insights from the FDA adverse event reporting system.

Created on 18 Jul 2026

Authors

Xu Junyu, Chen Qian, Xue Jingnan, Qi Luying, Yuan Chen, Zhu Yan

Published in

Medicine. Volume 105. Issue 29. Pages e49802. Jul 17, 2026.

Abstract

This study aimed to examine sex-disaggregated adverse event signals associated with growth impairment in pediatric patients, utilizing data from the FDA adverse event reporting system, with a particular focus on growth hormone and related therapeutic agents. A disproportionality analysis was performed on FDA adverse event reporting system data spanning 2004 Q1 to 2025 Q1. The analysis encompassed 3281 growth impairment-related reports, disaggregated by gender, employing Reporting Odds Ratios (ROR) and proportional reporting ratios for signal detection, with temporal patterns assessed via Weibull distribution modeling. Significant sex-disaggregated disparities in safety signals were identified. Somatropin exhibited a stronger association with growth impairment in females (ROR 76.85, 95% CI 65.52-90.15) than in males (ROR 37.31, 95% CI 32.99-42.20). Deflazacort showed a male-exclusive signal (ROR 58.25, 95% CI 41.27-82.21), while imatinib displayed a higher risk in females (ROR 15.55, 95% CI 11.29-21.42) compared to males (ROR 4.17, 95% CI 2.91-5.99). Temporal analysis revealed an early-failure pattern, with 50.6% of events occurring within 180 days. These findings generate the hypothesis that sex-disaggregated pharmacovigilance in pediatrics, particularly for growth-modulating therapies, may reveal differential reporting patterns. Should these signals be validated in controlled prospective studies, they could inform the development of customized monitoring frameworks and dosing strategies aimed at potentially mitigating risks in hypothesized high-risk subgroups.

PMID:
42470033
Bibliographic data and abstract were imported from PubMed on 18 Jul 2026.

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