Infants' General Movements Were Not Affected by Exposure to Maternal Severe Acute Respiratory Syndrome Coronavirus 2 Infections
Year: 2025
Type: article
Study design: Observational Study
Abstract: AIM: Prenatal maternal infections may impair infant brain development. This study investigated the effect of maternal infections with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during pregnancy on infant neurodevelopment by assessing general movements (GMs). METHODS: Infants were recruited for this multicenter prospective cohort study from LMU University Hospital sites in Munich after birth or during routine visits. GMs were recorded and assessed between 1 July 2022 and 31 January 2023, using the Hadders-Algra method. Odds ratios for abnormal GMs were calculated for infants with parent-reported prenatal SARS-CoV-2 exposure compared to unexposed controls. Specific GM subgroups were analysed at preterm, writhing, and fidgety ages. RESULTS: The study comprised 114 exposed infants (55.3% male) and 92 controls (54.3% male). There were no significant differences between the groups at birth. Two of the mothers were infected twice and one of them required hospitalisation. GMs were assessed at a mean corrected age (CA) of 4 weeks. The odds ratios showed no significant differences in GM quality between exposed infants and controls in either the total group or the subgroups. CONCLUSION: Prenatal exposure to SARS-CoV-2 did not affect early neurodevelopment, which was determined by GM quality. Further studies should include long-term outcomes. TRIAL REGISTRATION: The study was registered at the German Clinical Trial Register (ID: DRKS00029247; https://drks.de/search/de/trial/DRKS00029247).
Source: Acta Paediatrica
DOI: 10.1111/apa.70420
Institutions: LMU Klinikum, Ludwig-Maximilians-Universität München, University Children’s Hospital Basel, University Children's Hospital Zurich, Institut polytechnique de Grenoble, Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Laboratoire Jean Kuntzmann, Université Grenoble Alpes, Technical University of Munich
Language: English
Subfield: Obstetrics and Gynecology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,480
Funder: Center for International Health
OpenAlex ID: W7116729650
