Validating Lung Models Using the ASL 5000 Breathing Simulator.

Simul Healthc

From the Respiratory Care Program (A.D.), Rush University, Chicago, IL; Department of Kinesiology (A.D.), University of North Carolina at Charlotte, Charlotte, NC; Rebecca D Considine Research Institute (N.M.), Akron Children's Hospital, Akron; Kent State University (D.K.), Kent; and Nursing Administration (T.A.V.), Akron Children's Hospital, Akron, OH.

Published: April 2018

Objective: This study sought to validate pediatric models with normal and altered pulmonary mechanics.

Methods: PubMed and CINAHL databases were searched for studies directly measuring pulmonary mechanics of healthy infants and children, infants with severe bronchopulmonary dysplasia and neuromuscular disease. The ASL 5000 was used to construct models using tidal volume (VT), inspiratory time (TI), respiratory rate, resistance, compliance, and esophageal pressure gleaned from literature. Data were collected for a 1-minute period and repeated three times for each model. t tests compared modeled data with data abstracted from the literature. Repeated measures analyses evaluated model performance over multiple iterations. Statistical significance was established at a P value of less than 0.05.

Results: Maximum differences of means (experimental iteration mean - clinical standard mean) for TI and VT are the following: term infant without lung disease (TI = 0.09 s, VT = 0.29 mL), severe bronchopulmonary dysplasia (TI = 0.08 s, VT = 0.17 mL), child without lung disease (TI = 0.10 s, VT = 0.17 mL), and child with neuromuscular disease (TI = 0.09 s, VT = 0.57 mL). One-sample testing demonstrated statistically significant differences between clinical controls and VT and TI values produced by the ASL 5000 for each iteration and model (P < 0.01). The greatest magnitude of differences was negligible (VT < 1.6%, TI = 18%) and not clinically relevant.

Conclusions: Inconsistencies occurred with the models constructed on the ASL 5000. It was deemed accurate for the study purposes. It is therefore essential to test models and evaluate magnitude of differences before use.

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Source
http://dx.doi.org/10.1097/SIH.0000000000000277DOI Listing

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