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Updated: Oct 24, 2025

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Comparison of numerical and standard sarnat grading using the NICHD and SIBEN methods
Brian H Walsh1,2, Chelsea Munster3, Hoda El-Shibiny3
1Department of Neonatology, Cork University Maternity Hospital, Cork, Ireland. brianhenry.walsh@ucc.ie.
The NICHD and SIBEN assessments for neonatal encephalopathy (NE) show good agreement but differ in classifying severity. Both numerical scores effectively predict cerebral injury, outperforming standard grades.
Area of Science:
- Neonatal neurology
- Neurocritical care
- Pediatric neurology
Background:
- Neonatal encephalopathy (NE) is a serious condition requiring accurate severity assessment.
- The NICHD and SIBEN assessments, adapted from the Sarnat grade, are used to determine NE severity.
- Comparing these methods is crucial for understanding their clinical utility in identifying infants at risk for cerebral injury.
Purpose of the Study:
- To compare the NICHD and SIBEN assessment methods for neonatal encephalopathy (NE).
- To evaluate the ability of both methods to define a minimum threshold for significant cerebral injury.
- To assess the agreement and predictive capabilities of NICHD and SIBEN grading systems.
Main Methods:
- A cohort of 145 infants with NE (2016-2019) was analyzed.
- NICHD and SIBEN grading systems and numerical scores were applied.
- Kappa statistics assessed inter-rater agreement, and ROC curves evaluated prediction of MRI-defined injury.
Main Results:
- High agreement was observed between NICHD and SIBEN grading systems (Kappa = 0.86).
- SIBEN classified more infants as moderate NE and fewer as mild NE compared to NICHD (p < 0.001).
- Both numerical scores demonstrated superior ability to predict MRI-defined cerebral injury compared to standard grades.
Conclusions:
- While NICHD and SIBEN show good agreement, SIBEN identifies more moderate NE cases.
- Numerical scores from both systems are effective and comparable in defining thresholds for cerebral injury.
- Further research is needed to compare the long-term outcome prediction of these assessment methods.
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