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A Simple MRI Score Predicts Pathological General Movements in Very Preterm Infants with Brain Injury-Retrospective
Monia Vanessa Dewan1,2, Pia Deborah Weber1, Ursula Felderhoff-Mueser1,2
1Neonatology, Paediatric Intensive Care and Paediatric Neurology, Department of Paediatrics I, University Hospital Essen, University of Duisburg-Essen, 45122 Essen, Germany.
Insights
The Total Abnormality Score can predict absent fidgety movements in very preterm infants with brain injury. This score aids in identifying high-risk infants for early intervention. (30 words)
Area of Science:
- Neonatal neurology
- Neurodevelopmental pediatrics
- Pediatric neuroimaging
Background:
- Very preterm infants face heightened risks of brain injury and developmental impairments.
- Cerebral magnetic resonance imaging (MRI) data at term-equivalent age offers tools like the Total Abnormality Score (TAS) and biometric parameters (biparietal width, interhemispheric distance, transcerebellar diameter) to assess brain injury, development, and growth.
- General movements (GMs) are crucial indicators of neurological function in infants.
Purpose of the Study:
- To investigate the association between the Total Abnormality Score and specific biometric parameters with general movements in very preterm infants diagnosed with brain injury.
- To determine if neuroimaging metrics can predict neurodevelopmental outcomes in this vulnerable population.
Main Methods:
- A retrospective cohort study included 70 very preterm infants (gestational age ≤32 weeks and/or birth weight <1500 g) with brain injury identified via MRI.
- General movements analysis was performed at 8–16 weeks corrected age.
- Statistical analyses included binary logistic regression and Spearman correlation to assess associations between TAS, biometric parameters, and GMs.
Main Results:
- A significant association was found between the Total Abnormality Score and the absence of fidgety movements (OR: 1.19, 95% CI: 1.03–1.38).
- The transcerebellar diameter showed a significant negative correlation with fidgety movements (Spearman ρ = -0.269, p < 0.05).
Conclusions:
- The Total Abnormality Score serves as a valuable predictor for the absence of fidgety movements in very preterm infants with brain injury.
- TAS is an accessible tool for early identification of high-risk infants, facilitating timely intervention planning.
- Biometric parameters from neonatal MRI may offer insights into neurodevelopmental trajectories.
Background/Objectives:
Very preterm infants are at increased risk of brain injury and impaired brain development. The Total Abnormality Score and biometric parameters, such as biparietal width, interhemispheric distance and transcerebellar diameter, are simple measures to evaluate brain injury, development and growth using cerebral magnetic resonance imaging data at term-equivalent age. The aim of this study was to evaluate the association between the Total Abnormality Score and biometric parameters with general movements in very preterm infants with brain injury.
Methods:
This single-center retrospective cohort study included 70 very preterm infants (≤32 weeks' gestation and/or <1500 g birth weight) born between January 2017 and June 2021 in a level-three neonatal intensive care unit with brain injury-identified using cerebral magnetic resonance imaging data at term-equivalent age. General movements analysis was carried out at corrected age of 8-16 weeks. Binary logistic regression and Spearman correlation were used to examine the associations between the Total Abnormality Score and biometric parameters with general movements.
Results:
There was a significant association between the Total Abnormality Score and the absence of fidgety movements [OR: 1.19, 95% CI = 1.38-1.03] as well as a significant association between the transcerebellar diameter and fidgety movements (Spearman ρ = -0.269, p < 0.05).
Conclusions:
Among very preterm infants with brain injury, the Total Abnormality Score can be used to predict the absence of fidgety movements and may be an easily accessible tool for identifying high-risk very preterm infants and planning early interventions accordingly.
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