JOURNAL ARTICLE

Assessing the risk of adverse pregnancy outcomes and birth defects reporting in women exposed to ganciclovir or valganciclovir during pregnancy: a pharmacovigilance study.

  • Published In: Journal of Antimicrobial Chemotherapy (JAC), 2023, v. 78, n. 5. P. 1265 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Contejean, Adrien; Leruez-Ville, Marianne; Treluyer, Jean-Marc; Tsatsaris, Vassilis; Ville, Yves; Charlier, Caroline; Chouchana, Laurent 3 of 3

Abstract

This article focuses on the safety of ganciclovir and its oral prodrug valganciclovir [(val)ganciclovir] during pregnancy, using data from VigiBase, the World Health Organization’s global pharmacovigilance database. The study analyzed adverse pregnancy outcomes reported with (val)ganciclovir exposure compared to aciclovir/valaciclovir [(val)aciclovir] and other drugs, finding no increased reporting of miscarriage, stillbirth, preterm birth, or overall birth defects associated with (val)ganciclovir. However, a small cluster of gastrointestinal birth defects was noted with (val)ganciclovir, though these cases involved concomitant exposure to other drugs such as sulfamethoxazole-trimethoprim, complicating causal interpretation. The findings suggest that while (val)ganciclovir does not show a clear safety signal for adverse pregnancy outcomes, further prospective studies and clinical trials are needed to confirm its safety and evaluate its use in severe maternal or fetal cytomegalovirus (CMV) infections.

Additional Information

  • Source:Journal of Antimicrobial Chemotherapy (JAC). 2023/05, Vol. 78, Issue 5, p1265
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2023
  • ISSN:0305-7453
  • DOI:10.1093/jac/dkad087
  • Accession Number:163492369
  • Copyright Statement:Copyright of Journal of Antimicrobial Chemotherapy (JAC) is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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