| アブストラクト | BACKGROUND: Many women are exposed to antiseizure medications (ASMs) during pregnancy, raising concerns about pregnancy and offspring health risks. The current safety data remain insufficient, necessitating further investigation. METHODS: Using data from the FDA Adverse Event Reporting System (2010-2023), this study employed both the Reporting Odds Ratio (ROR) and Bayesian Confidence Propagation Neural Network (BCPNN) for disproportionality analysis of pregnancy and offspring toxicity related to maternal ASM exposure. In addition, we performed signal adjustment by excluding polytherapy cases, and drug-drug interaction (DDI) signals of two ASMs were identified using Omega Shrinkage measures and Chi-square tests. RESULTS: 3,459 mothers were exposed to 23 ASMs, resulting in 10,910 adverse events. 59 malformation signals, 27 adverse perinatal outcome signals, and 35 dysplasia signals were identified. Among traditional ASMs, valproic acid (VPA) and carbamazepine (CBZ) exhibited the highest number of signals, while levetiracetam (LEV), lamotrigine (LTG), lacosamide, gabapentin, and topiramate (TPM) predominated among newer ASMs. Signals for cardiac malformations, adverse neurodevelopment, and adverse offspring growth outcomes were widespread, with the strongest signals for specific outcomes observed for zonisamide [ROR = 14.82, 95% CI: 5.43-40.41], gabapentin [ROR = 52.52, 95% CI: 15.68-175.95], and brivaracetam [ROR = 22.96, 95% CI: 8.42-62.61], respectively. Six DDI signals displayed >/= 3, including LTG + LEV/VPA associated with malformation, CBZ + lacosamide/LTG, and VPA + clonazepam associated with fetal loss. CONCLUSIONS: The potential risks associated with LEV and LTG surpass expectations, warranting further evaluation, particularly in combination therapy. In addition, ASMs with widespread signals, such as VPA, CBZ, TPM, and lacosamide, warrant heightened attention. |
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| 組織名 | Department of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen;University, 10# Zhenhai Road, Xiamen, China.;University, 10# Zhenhai Road, Xiamen, China. lwl21029@163.com.;University, 10# Zhenhai Road, Xiamen, China. zhuangwei1333@xmu.edu.cn. |
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