Details

Autor(en) / Beteiligte

• Verma, Akanksha
• Jaiswal, Rahul
• Naranje, Kirti M
• Gupta, Girish
• Singh, Anita

Titel

Bubble CPAP splitting: innovative strategy in resource-limited settings

Ist Teil von

• Archives of disease in childhood, 2021-02, Vol.106 (2), p.137-140

Ort / Verlag

England: BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health

Erscheinungsjahr

2021

Quelle

MEDLINE

Beschreibungen/Notizen

• BackgroundNon-invasive respiratory support for neonates using bubble continuous positive airway pressure (bCPAP) delivery systems is now widespread owing to its safety, cost effectiveness and easy applicability. Many innovative solutions have been suggested to deal with the possible shortage in desperate situations like disasters, pandemics and resource-limited settings. Although splitting of invasive ventilation has been reported previously, no attempts to split non-invasive respiratory support have been reported.ObjectiveThe primary objective was to test the feasibility of splitting the bCPAP assembly using a T-piece splitter in a simulation model.MethodsA pilot simulation-based study was done to split a single bCPAP assembly using a T-piece. Other materials consisted of a heated humidification system, an air oxygen blender, corrugated inspiratory and expiratory tubing, nasal interfaces and two intercostal chest tube drainage bags. Two pressure manometers were used simultaneously to measure delivered pressures at different levels of set bCPAPs at the expiratory limb of nasal interfaces.ResultsPressures measured at the expiratory end of two nasal interfaces were 5.1 and 5.2 cm H2O, respectively, at a flow of 6 L/min and a water level of 5 cm H2O in both chest bags. When tested across different levels of set continuous positive airway pressure (3–8 cmH2O) and fractional inspired oxygen concentration (0.30–1.0), measured parameters corresponded to set parameters.ConclusionbCPAP splitting using a T-piece splitter is a technically simple, feasible and reliable strategy tested in a simulation model. Further testing is needed in a simulated lung model.