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Related Experiment Video

Updated: Jul 12, 2025

Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models
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External Validation of a Multivariate Model for Targeted Surfactant Replacement.

Francesco Raimondi1, Pasquale Dolce2, Claudio Veropalumbo1

  • 1Division of Neonatology, Department of Translational Medical Sciences, Naples, Italy.

Neonatology
|October 26, 2023
PubMed
Summary
This summary is machine-generated.

A validated model using lung ultrasound score and oxygen saturation to inspired oxygen ratio can personalize surfactant therapy for preterm infants, improving respiratory outcomes.

Keywords:
FiO2Lung ultrasoundRespiratory distress syndromeSurfactant

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Area of Science:

  • Neonatology
  • Pediatric Pulmonology
  • Medical Imaging in Pediatrics

Background:

  • Early surfactant therapy is crucial for preterm infants with respiratory distress syndrome.
  • Personalizing surfactant treatment requires accurate prognostic criteria, which are currently unclear.
  • Existing models need validation in independent cohorts to ensure reliability.

Purpose of the Study:

  • To validate a multivariate prognostic model for guiding early surfactant therapy in preterm neonates.
  • To assess the predictive accuracy of gestational age, lung ultrasound score (LUS), and oxygen saturation to inspired oxygen fraction ratio (SatO2/FiO2).
  • To determine if this model can improve respiratory management through customized treatment.

Main Methods:

  • A pragmatic, observational study conducted in 10 neonatal intensive care units (NICUs) across Italy and Spain.
  • Included preterm infants (25-33 weeks gestational age) with respiratory distress syndrome stabilized on CPAP.
  • Collected LUS and SatO2/FiO2 data post-stabilization for prognostic evaluation by masked physicians.

Main Results:

  • The validation cohort (175 infants) demonstrated high predictive accuracy (AUC = 0.95).
  • The model showed good calibration with significant overlap between development and validation populations.
  • Lung ultrasound score (LUS ≥9) was a strong individual predictor (sensitivity=0.91, specificity=0.81), with performance varying by gestational age.

Conclusions:

  • A prognostic model integrating LUS and SatO2/FiO2 is validated for personalizing surfactant administration.
  • This validated model can facilitate early, customized surfactant therapy.
  • Improved respiratory management in preterm neonates may result from this personalized approach.