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Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Influencing factors and construction of a predictive model for neurodevelopmental outcomes in preterm low birth
1Department of Children's Health Prevention, Fuming Subdistrict Community Health Service Center Ningbo 315000, Zhejiang, China.
Insights
Cerebral lesions and respiratory issues predict adverse neurodevelopmental outcomes in preterm low birth weight infants. A new model accurately identifies high-risk infants for early intervention.
Area of Science:
- Neonatal neurology
- Developmental pediatrics
- Perinatal medicine
Background:
- Preterm low birth weight (PLBW) infants face significant risks for adverse neurodevelopmental outcomes (ANO).
- Early identification of these risks is crucial for timely intervention and improved long-term prognoses.
- Predictive models can aid clinicians in stratifying risk among PLBW infants.
Purpose of the Study:
- To identify key risk factors associated with ANO in PLBW infants.
- To develop and validate a predictive model for identifying PLBW infants at high risk for ANO.
Main Methods:
- Retrospective analysis of 146 PLBW infants assessed using Bayley Scales of Infant Development.
- Classification into normal neurodevelopmental outcome (NNO) and ANO groups based on Mental Index scores.
- Multivariate logistic regression and ROC curve analysis to identify predictors and assess model performance.
Main Results:
- Hemorrhagic/ischemic cerebral lesions and bronchopulmonary dysplasia were significantly higher in the ANO group.
- Longer mechanical ventilation and oxygen therapy durations were associated with ANO.
- The predictive model demonstrated good accuracy (AUC=0.833) and external validation (AUC=0.854).
Conclusions:
- Cerebral lesions and respiratory complications are significant predictors of ANO in PLBW infants.
- The developed predictive model shows promise for early identification of high-risk infants.
- Timely interventions guided by this model can potentially improve long-term neurodevelopmental outcomes.
Objective:
To identify risk factors for adverse neurodevelopmental outcomes (ANO) in preterm low birth weight (PLBW) infants and to develop a predictive model.
Methods:
A retrospective analysis was conducted on 146 PLBW infants who underwent neurodevelopmental assessment at the Women and Children's Hospital of Ningbo University between August 2022 and August 2024. Neurodevelopmental status was evaluated using the Bayley Scales of Infant Development at a corrected age of two years. Infants were classified into either a normal neurodevelopmental outcome (NNO, n=85) group or an ANO group (n=61), according to their Bayley Mental Index scores. Data collected included demographic information, maternal health data, neonatal cranial ultrasound findings, and neonatal complications. Multivariate logistic regression was used to identify significant predictors, and receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive performance of the model.
Results:
There were no significant differences in baseline demographic factors such as gestational age or birth weight between the two groups (all P>0.05). However, the ANO group exhibited a significantly higher incidence of hemorrhagic and ischemic cerebral lesions, bronchopulmonary dysplasia, and required longer durations of mechanical ventilation and oxygen therapy (all P<0.05). Multivariate logistic regression confirmed these factors as independent predictors of ANO. The composite predictive model, incorporating these variables, achieved an area under the AUC of 0.833, indicating good predictive accuracy. Validation with an external sample of 71 infants yielded an AUC of 0.854, demonstrating good agreement between predicted and observed outcomes.
Conclusion:
Cerebral lesions and respiratory complications were significant predictors of adverse neurodevelopmental outcomes in PLBW infants. The developed predictive model may support early identification of high-risk infants and facilitate timely interventions to improve long-term neurodevelopmental outcomes.
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