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Predictive value of definitely abnormal general movements in the general population
Hylco Bouwstra1, Geerteke R Dijk-Stigter, Hedwig M J Grooten
1Beatrix Children's Hospital - Developmental Neurology, University Medical Centre Groningen, 9713 GZ Groningen, the Netherlands.
Developmental Medicine and Child Neurology
|December 17, 2009
Summary
General movement assessment in infants can predict neurodevelopmental impairment. However, its predictive value is lower in the general population compared to high-risk groups.
Area of Science:
- Neonatal neurology
- Developmental pediatrics
- Predictive diagnostics
Background:
- Abnormal general movements in high-risk infants are established predictors of serious neurodevelopmental impairment.
- The utility of general movement assessment in the general infant population remains less understood.
Purpose of the Study:
- To evaluate the predictive accuracy of definitely abnormal general movements observed at 3 months of age for identifying serious neurodevelopmental impairment in a general infant population.
- To determine the positive and negative predictive values of this assessment method in a non-selected cohort.
Main Methods:
- A prospective cohort study involved 455 infants assessed at 3 months using video-recorded general movement quality.
- Participants were followed up at 4 years for reassessment of neurodevelopmental status by clinicians.
- Predictive values for major neurodevelopmental impairment and cerebral palsy were calculated.
Main Results:
- Five children were diagnosed with major neurodevelopmental disorders, including three with cerebral palsy (CP).
- Of these, three had shown definitely abnormal general movements, linked to periventricular white matter lesions.
- The positive predictive value for major neurodevelopmental impairment was 18%, and for CP it was 12%; negative predictive values neared 100%.
Conclusions:
- The strong predictive capability of general movement assessment seen in high-risk populations does not directly translate to the general infant population.
- This highlights the need for context-specific interpretation of general movement assessments.
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