JOURNAL ARTICLE

OC19.01: Congenital cytomegalovirus infection following maternal infection in early pregnancy: prenatal prediction and postnatal outcome.

  • Published In: Ultrasound in Obstetrics & Gynecology, 2024, v. 64. P. 49 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Bourgon, N.; Fourgeaud, J.; Chatzakis, C.; Magny, J.; Guillerminot, T.; Grevent, D.; Sonigo, P.; Millisher, A.; Bussières, L.; Bessières, B.; Lœeuillet, L.; Salomon, L.J.; Stirnemann, J.; Leruez‐Ville, M.; Ville, Y. 3 of 3

Abstract

This article discusses the challenges of predicting the postnatal outcomes of congenital cytomegalovirus (CMV) infection during pregnancy. The study evaluated the effectiveness of prenatal assessment, including different machine learning techniques, in predicting symptoms at birth and long-term sequelae. The research involved a large cohort of pregnant women who were referred for fetal infection following maternal infection in early pregnancy. The results suggest that prenatal imaging and early prenatal treatment, particularly in cases with mild prenatal findings, can influence the prognosis of infected fetuses. [Extracted from the article]

Additional Information

  • Source:Ultrasound in Obstetrics & Gynecology. 2024/09, Vol. 64, p49
  • Document Type:Article
  • Subject Area:Consumer Health
  • Publication Date:2024
  • ISSN:0960-7692
  • DOI:10.1002/uog.27852
  • Accession Number:179532075
  • Copyright Statement:Copyright of Ultrasound in Obstetrics & Gynecology is the property of Wiley-Blackwell 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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