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Updated: Jan 19, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Development of a neonatal adverse event severity scale through a Delphi consensus approach
Thomas Salaets1, Mark A Turner2, Mary Short3
1Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
A new scale standardizes adverse event severity in neonatal clinical trials. The International Neonatal Consortium (INC) developed the Neonatal Adverse Event Severity Scale (NAESS) to improve safety data reliability and comparability.
Area of Science:
- Neonatalogy
- Clinical Pharmacology
- Biostatistics
Background:
- Standardized assessment of adverse events (AEs) is crucial for clinical trial safety and comparability.
- Existing AE severity scales are not suitable for neonates, highlighting a need for a specialized tool.
- Accurate AE severity assessment is vital for understanding AE importance in clinical settings.
Purpose of the Study:
- To develop and validate a standardized scale for assessing adverse event severity in neonatal clinical trials.
- To establish reliable and comparable safety information across neonatal studies.
Main Methods:
- A stepwise consensus process involving stakeholders within the International Neonatal Consortium (INC).
- Utilized a Delphi approach with multiple survey rounds, face-to-face meetings, and pilot validation.
- Developed criteria based on the AE's effect on age-appropriate behavior, physiological functions, and care modifications.
Main Results:
- The International Neonatal Consortium (INC) Neonatal Adverse Event Severity Scale (NAESS) V.1.0 was developed.
- The scale classifies neonatal AE severity into five grades: mild, moderate, severe, life-threatening, or death.
- Pilot validation demonstrated the scale's utility, leading to refinement and public availability.
Conclusions:
- The INC NAESS provides a standardized method for grading AE severity in neonates.
- This scale enhances the reliability and comparability of safety data in neonatal clinical trials.
- Future work includes ongoing updates, further validation, and user training module development.
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