Quantifying neonatal patient effort using non-invasive model-based methods.

Area of Science:

• Biomedical Engineering
• Neonatal Physiology
• Respiratory Mechanics

Background:

• Spontaneous breathing effort is common in ventilated neonates.
• Current methods to quantify this effort are invasive or ethically challenging.
• Accurate quantification is crucial for optimizing mechanical ventilation.

Purpose of the Study:

• To develop and assess a non-invasive, model-based method for quantifying spontaneous breathing effort and asynchrony in preterm neonates.
• To differentiate passive lung mechanics from patient-specific breathing effort.

Main Methods:

• A basis function model was used to segregate lung mechanics and spontaneous breathing effort.
• A time-varying elastance model quantified spontaneous breathing effort (negative added elastance) and asynchrony (positive added elastance).
• Data from ten preterm neonates on mechanical ventilation were analyzed using area under the curve (AUC) for time-varying elastance.

Main Results:

• Passive pulmonary lung elastance was 3.82 [2.09–5.80] cmH2O/ml.
• Quantified spontaneous breathing effort (AUC) was -0.32 [-0.43–-0.12] cmH2O/ml.
• Asynchrony (AUC) was minimal (0.00 [0.00–0.01] cmH2O/ml) and affected 28% of breaths.

Conclusions:

• The model-based approach provides a feasible, non-invasive method to quantify spontaneous breathing effort in neonates.
• This technique can help personalize mechanical ventilation strategies.
• Further validation is needed, but this proof-of-concept shows clinical potential.