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Anatomically Realistic Neonatal Heart Model for Use in Neonatal Patient Simulators
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Thoracoabdominal asynchrony in a virtual preterm infant: computational modeling and analysis.

Richard R Foster1, Bradford Smith2,3, Laura Ellwein Fix1

  • 1Department of Mathematics and Applied Mathematics, Virginia Commonwealth University, Richmond, Virginia, United States.

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Summary

Thoracoabdominal asynchrony (TAA) in preterm infants is modeled using pulmonary mechanics to understand risk factors. Addressing these factors individually shows incremental changes in TAA, with multiple conditions leading to maximal asynchrony.

Keywords:
chest wall distortiondynamic simulationmechanical ventilationpediatric pulmonologysensitivity analysis

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Area of Science:

  • Computational physiology
  • Neonatal respiratory mechanics
  • Biomedical engineering

Background:

  • Thoracoabdominal asynchrony (TAA) is linked to respiratory distress and lung disease in newborns.
  • Preterm infants face TAA due to factors like weak muscles and surfactant deficiency.
  • Current TAA assessment lacks mechanistic modeling to explore risk factor impacts.

Purpose of the Study:

  • To present a dynamic compartmental model of pulmonary mechanics simulating TAA in preterm infants.
  • To explore the role of various clinical risk factors in breathing dynamics and TAA.
  • To investigate how TAA can be resolved through mechanistic modeling.

Main Methods:

  • Developed a dynamic compartmental model of pulmonary mechanics.
  • Simulated TAA under diverse adverse conditions (e.g., high chest wall compliance, airway obstruction).
  • Conducted sensitivity analyses to rank parameter influence on TAA and respiratory volume.

Main Results:

  • Risk factors for TAA are additive; maximal TAA occurred in virtual infants with multiple adverse conditions.
  • Addressing individual risk factors yielded incremental changes in TAA.
  • Upper airway obstruction caused paradoxical breathing and reduced tidal volume despite increased effort.

Conclusions:

  • Simulated TAA indices align with experimental and clinical observations.
  • Computational modeling offers a framework for assessing and managing TAA in preterm infants.
  • Further investigation into modeling TAA is warranted for clinical applications.