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Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Predicting the outcomes of preterm neonates beyond the neonatal intensive care unit: What are we missing?
Colin J Crilly1, Sebastien Haneuse2, Jonathan S Litt3,4
1Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
Insights
Predicting long-term health for preterm infants is crucial. This review analyzes existing risk models, finding room for improvement in accuracy and scope for better functional outcome prediction.
Area of Science:
- Neonatal Medicine
- Pediatric Health Outcomes
- Biostatistics
Background:
- Preterm infants face high mortality and long-term morbidity risks.
- Focus is shifting from survival to predicting functional outcomes in childhood and young adulthood.
- Existing risk prediction tools for preterm neonates lack comprehensive evaluation.
Purpose of the Study:
- To provide a narrative review of current risk models for predicting functional outcomes in preterm neonates.
- To analyze the strengths and weaknesses of existing prediction tools.
- To identify areas for improvement in future risk prediction model development.
Main Methods:
- Conducted a literature review of studies developing risk models for preterm neonates.
- Considered 32 studies describing 43 separate risk prediction models.
- Focused on models predicting functional outcomes, not just mortality.
Main Results:
- Most models utilize similar physiologic variables and regression techniques.
- Primary prediction target is poor neurodevelopmental outcomes.
- Significant room for improvement exists due to expanded knowledge and methodological limitations.
Conclusions:
- Future models need more consistent outcome definitions and standardized assessments.
- Risk prediction should extend beyond purely physiologic factors.
- Ethical implications of using these tools in clinical decisions warrant consideration.
Abstract:
Preterm infants are a population at high risk for mortality and adverse health outcomes. With recent improvements in survival to childhood, increasing attention is being paid to risk of long-term morbidity, specifically during childhood and young-adulthood. Although numerous tools for predicting the functional outcomes of preterm neonates have been developed in the past three decades, no studies have provided a comprehensive overview of these tools, along with their strengths and weaknesses. The purpose of this article is to provide an in-depth, narrative review of the current risk models available for predicting the functional outcomes of preterm neonates. A total of 32 studies describing 43 separate models were considered. We found that most studies used similar physiologic variables and standard regression techniques to develop models that primarily predict the risk of poor neurodevelopmental outcomes. With a recently expanded knowledge regarding the many factors that affect neurodevelopment and other important outcomes, as well as a better understanding of the limitations of traditional analytic methods, we argue that there is great room for improvement in creating risk prediction tools for preterm neonates. We also consider the ethical implications of utilizing these tools for clinical decision-making. IMPACT: Based on a literature review of risk prediction models for preterm neonates predicting functional outcomes, future models should aim for more consistent outcomes definitions, standardized assessment schedules and measurement tools, and consideration of risk beyond physiologic antecedents. Our review provides a comprehensive analysis and critique of risk prediction models developed for preterm neonates, specifically predicting functional outcomes instead of mortality, to reveal areas of improvement for future studies aiming to develop risk prediction tools for this population. To our knowledge, this is the first literature review and narrative analysis of risk prediction models for preterm neonates regarding their functional outcomes.
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