Related Experiment Video
Updated: Jul 19, 2025

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Five-year outcomes for extremely preterm babies with active perinatal management: A clinical prediction model
Caroline Diguisto1,2, Andrei Scott Morgan1,3, Laurence Foix L'Hélias1,4
1Université Paris Cité, Université Sorbonne Paris Nord, Inserm, INRAE, CRESS U1153, EPOPé, Paris, France.
Insights
A new clinical prediction model helps forecast outcomes for extremely preterm infants receiving active perinatal care. The model uses gestational age, small-for-gestational-age status, and sex to predict survival without neurodevelopmental disability at five years.
Area of Science:
- Neonatal Medicine
- Perinatal Outcomes
- Clinical Prediction Modeling
Background:
- Extremely preterm infants (born 24-26 weeks gestation) receiving active perinatal management face significant risks.
- Accurate prediction of long-term outcomes is crucial for clinical decision-making and family counseling.
Purpose of the Study:
- To develop and validate a clinical prediction model for survival without moderate or severe neurodevelopmental disability (NDD) at 5 years of age.
- To identify key factors influencing outcomes in this vulnerable population.
Main Methods:
- The EPIPAGE-2 national prospective cohort study included live-born neonates (24-26 weeks gestation) receiving active perinatal management in France, 2011.
- A logistic regression model was developed using gestational age, small-for-gestational-age (SGA) status, and sex.
- Model performance was assessed via calibration and discrimination with internal validation using bootstrap methods.
Main Results:
- Of 557 neonates, 72% survived to 5 years, with 59% surviving without NDD.
- Predicted survival without NDD varied by gestational age (45-64%) and SGA status (47% for SGA, 62% for non-SGA).
- The model demonstrated good calibration but modest discrimination (C-index 0.59).
Conclusions:
- A simple prediction model incorporating easily ascertainable antenatal factors can aid clinical decision-making.
- This tool supports healthcare providers and families in managing extremely preterm neonates under active perinatal care.
Objective:
To develop and validate a clinical prediction model for outcomes at 5 years of age for children born extremely preterm and receiving active perinatal management.
Design:
The EPIPAGE-2 national prospective cohort.
Setting:
France, 2011.
Population:
Live-born neonates between 24+0 and 26+6 weeks of gestation who received active perinatal management (i.e. birth in a tertiary-level hospital, with antenatal steroids and resuscitation at birth).
Methods:
A prediction model using logistic modelling, including gestational age, small-for gestational-age (SGA) status and sex, was developed. Model performance was assessed through calibration and discrimination, with bootstrap internal validation.
Main Outcome Measures:
Survival without moderate or severe neurodevelopmental disability (NDD) at 5 years.
Results:
Among the 557 neonates included, 401 (72%) survived to 5 years, of which 59% survived without NDD (95% CI 54% to 63%). Predicted rates of survival without NDD ranged from 45% (95% CI 33% to 57%), to 56% (95% CI 49% to 64%) to 64% (95% CI 57% to 70%) for neonates born at 24, 25 and 26 weeks of gestation, respectively. Predicted rates of survival without NDD were 47% (95% CI 18% to 76%) and 62% (95% CI 49% to 76%) for SGA and non-SGA children, respectively. The model showed good calibration (calibration slope 0.85, 95% CI 0.54 to 1.16; calibration-in-the-large -0.0123, 95% CI -0.25 to 0.23) and modest discrimination (C-index 0.59, 95% CI 0.53 to 0.65).
Conclusions:
A simple prediction model using three factors easily known antenatally may help doctors and families in their decision-making for extremely preterm neonates receiving active perinatal management.
More Related Videos
Related Concept Videos
Guidelines for Writing Outcome
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...

