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Prenatal findings, neonatal symptoms and neurodevelopmental outcome of congenital cytomegalovirus infection in a university hospital in Montreal, Quebec.

Authors :
Minsart, Anne-Frédérique
Rypens, Françoise
Smiljkovic, Mina
Kakkar, Fatima
Renaud, Christian
Lamarre, Valérie
Boucher, Marc
Boucoiran, Isabelle
Source :
Journal of Social & Economic Statistics; Winter2019, Vol. 8 Issue 2, p1-8, 8p
Publication Year :
2019

Abstract

Background: Outcome of congenital cytomegalovirus (cCMV) infection in the absence of routine CMV screening and third-trimester scan in North America is scarcely documented. The aim of this study was to assess the severe outcomes related to cCMV according to the indication for screening. Methods: This was a retrospective study of 84 motherchild pairs followed for cCMV between 2003 and 2017 at CHU Sainte-Justine in Montreal, Canada. Prenatal ultrasound, neonatal symptoms, neuroimaging and severe outcomes (cerebral palsy, severe cognitive impairment, bilateral hearing loss or neonatal death) were reviewed. Results: Among 38 cases with abnormal prenatal ultrasound, 41.9% of live-born infants developed severe outcomes. Sixteen (42.1%) were detected in the third trimester. Among 16 cases diagnosed prenatally because of maternal history, all had normal prenatal ultrasound, and none developed severe outcomes. Among cases diagnosed postnatally because of neonatal symptoms, 25% developed severe outcomes. All infants who developed severe outcomes had moderate/severe neonatal symptoms. Conclusion: Outcome of cCMV infection varies according to the reason for screening and timing of diagnosis. Any prenatal ultrasound anomaly might indicate a risk of severe outcome, and warrants a detailed ultrasound scan. However, late detection, or postnatal diagnosis, represented more than half of the cases, and awareness of this will help ensuring optimal management. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2285388X
Volume :
8
Issue :
2
Database :
Complementary Index
Journal :
Journal of Social & Economic Statistics
Publication Type :
Academic Journal
Accession number :
141622437
Full Text :
https://doi.org/10.1515/jpm-2019-0331