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Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Growth variables and obstetrical risk factors in newborns are associated with psychomotor development at preschool
Arne Jensen1, Gerhard Neuhäuser2
1Campus Clinic Gynecology, Ruhr-University Bochum, Bochum, Germany (Dr Jensen).
Insights
Simple newborn measurements, like weight-to-head circumference ratio, can predict a child's psychomotor development and cognitive abilities at preschool age, enabling early interventions for better educational outcomes.
Area of Science:
- Pediatrics
- Developmental Neuroscience
- Public Health
Background:
- Low birth weight is linked to poor neurocognitive development and psychopathology, impacting school performance.
- Early prediction of developmental performance is crucial for timely intervention strategies.
- Improving educational success and mental health in children requires proactive approaches.
Purpose of the Study:
- To assess the predictive power of newborn morphometric variables and obstetrical risk factors.
- To predict developmental performance at 4.3 years of age.
- To examine predicted Total Psychomotor Development Score, Developmental Disability Index, Morphometric Vitality Index, Intelligence Quotient, Maze Test, and Neurologic Examination Optimality Score.
Main Methods:
- A prospective cranial ultrasound screening study of 5,301 live-born infants was conducted.
- Data included morphometric variables, obstetrical risk factors, and developmental assessments.
- Statistical analyses included odds ratios, ROC analysis, ANOVA, and MANOVA.
Main Results:
- Newborn weight/head circumference ratio significantly predicts overall psychomotor development at 4.3 years.
- White matter damage strongly predicts adverse outcomes in the Developmental Disability Index.
- Several factors including birth weight, head circumference, preterm birth, and Apgar scores are associated with adverse neurocognitive outcomes.
Conclusions:
- Simple morphometric data and birth variables predict neurocognitive performance in children.
- These findings support early intervention strategies for improved school performance and mental health.
- The study highlights the importance of parental consultation and early support for child development.
Background:
Low birthweight resulting from preterm birth or fetal growth restriction is associated with poor neurocognitive development and child psychopathology affecting school performance and educational success. Prediction of developmental performance may therefore serve as a basis for early intervention strategies to improve educational success and mental health of our children in a timely manner.
Objective:
This study aimed to explore the predictive capacity of morphometric variables taken at birth and that of obstetrical risk factors to predict developmental performance at 4.3 (standard deviation, 0.8) years preschool age. We examined predicted Total psychomotor development score, predicted Developmental disability index, calculated Morphometric vitality index, and predicted Intelligence quotient, Maze test, and Neurologic examination optimality score in a large prospective screening (cranial ultrasound screening, n=5,301) and validation cohort (n=508,926).
Study Design:
In a single-center cohort observational study design (data collection done from 1984-1988, analysis done in 2022), a prospective cranial ultrasound screening study (1984-1988) was carried out on 5,301 live-born infants, including 571 (10.8%) preterm infants (≤36 weeks gestation), on the day of discharge of the mother at 5 to 8 days postpartum from a level 3 perinatal center. Predicted psychomotor development as assessed by predicted Total psychomotor development score, predicted Developmental disability index, calculated Morphometric vitality index, and predicted Intelligence quotient, Maze test, and Neurologic examination optimality score, was calculated. We related growth variables and obstetrical risk factors to Psychomotor development indices, and calculated Morphometric vitality index using odds ratios, receiver operating characteristics, analysis of variance, and multivariate analysis of variance.
Results:
The key result of our study is the observation that simple morphometric measures from newborns at birth like weight/head circumference ratio predict overall psychomotor development at 4.3 years (standard deviation, 0.8) of preschool age. Psychomotor development was assessed by predicted Total psychomotor development score, predicted Intelligence quotient, Maze test, and Neurologic examination optimality score, and related to weight/head circumference ratio in linear regression (P<.001) and ROC curve analyses (P<.001). Further, white matter damage strongly predicted adverse outcome in predicted Developmental disability index (P<.001). There was also a close correlation between calculated Morphometric vitality index and predicted Developmental disability index (P<.001). Finally, brain body weight ratio, weight/head circumference ratio, preterm birth, reduced Apgar at 10 minutes, weight/length ratio, and white matter damage yielded highest odds ratios for adverse outcome in predicted Total psychomotor development score and in predicted Developmental disability index (P<.001) and high effect sizes in reduced predicted Intelligence quotient, Maze test, and Neurologic examination optimality scores.
Conclusion:
Simple morphometric data, birth variables, and obstetrical risk factors bear predictive capacity for neurocognitive performance in children at 4.3 years (standard deviation, 0.8) of age and hence provide a basis for parental consultation and early intervention to improve school performance, educational success, and mental health in developed and developing countries.
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