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Bubble CPAP splitting: innovative strategy in resource-limited settings.

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Bubble continuous positive airway pressure (bCPAP) can be split using a T-piece splitter, offering a feasible solution for respiratory support shortages. This method is simple, reliable, and tested in simulation models for potential use in critical situations.

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Area of Science:

  • Neonatal care
  • Respiratory support systems
  • Medical device engineering

Background:

  • Bubble continuous positive airway pressure (bCPAP) is a widely used, safe, and cost-effective non-invasive respiratory support for neonates.
  • Innovative solutions are needed for bCPAP delivery during resource limitations, pandemics, or disasters.
  • While invasive ventilation splitting is documented, splitting non-invasive support like bCPAP has not been previously explored.

Purpose of the Study:

  • To evaluate the feasibility of splitting a single bCPAP system for dual patient use.
  • To assess the reliability of bCPAP splitting using a T-piece in a simulated environment.

Main Methods:

  • A pilot simulation study was conducted using a T-piece to split a single bCPAP assembly.
  • Components included a heated humidification system, air-oxygen blender, tubing, nasal interfaces, and chest drainage bags for pressure measurement.
  • Two pressure manometers simultaneously measured delivered pressures at the expiratory limb of nasal interfaces.

Main Results:

  • Splitting bCPAP with a T-piece resulted in delivered pressures of 5.1 and 5.2 cmH2O at a flow of 6 L/min and 5 cmH2O water level.
  • Measured pressures closely matched set parameters across various continuous positive airway pressure (3-8 cmH2O) and oxygen concentration (0.30-1.0) levels.
  • The bCPAP splitting strategy proved technically simple and reliable in the simulation model.

Conclusions:

  • Splitting bCPAP using a T-piece is a technically simple, feasible, and reliable strategy.
  • This method shows promise for addressing respiratory support shortages in critical settings.
  • Further validation in a simulated lung model is recommended.