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Quantifying neonatal patient effort using non-invasive model-based methods
Kyeong Tae Kim1, Jennifer Knopp2, Bronwyn Dixon3
1Centre for Bioengineering, University of Canterbury, Christchurch, New Zealand. kyeongtaekim92@gmail.com.
Medical & Biological Engineering & Computing
|January 19, 2022
Summary
Quantifying spontaneous breathing effort in neonates is challenging. A new model-based approach non-invasively measures this effort and breathing asynchrony in preterm infants on mechanical ventilation.
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.

