Effects of the intermittent intrapulmonary deflation technique on expiratory flow limitation: an in vitro study.

Ribeiro Fonseca Franco de Macedo, Juliana;Reychler, Gregory;Poncin, William;Liistro, Giuseppe
(2024) Journal of Clinical Monitoring and Computing — Vol. 38, n° 1, p. 69-75 (2024)

Files

2023_Ribeiro_Fonseca_J_Clin_Monit_Comput_preprint.pdf
  • Open Access
  • Adobe PDF
  • 1.31 MB
Download

Details

Authors
Abstract
INTRODUCTION The intermittent intrapulmonary deflation (IID) technique is a recent airway clearance technique that intends to delay the onset of expiratory flow limitation (EFL) during exhalation. We showed in a previous study that IID increased the expiratory volume of COPD patients compared to quiet breathing and positive expiratory pressure (PEP) therapy. We hypothesized that it was due to the attenuation of the EFL. OBJECTIVES To verify the physiologic effects of IID and PEP techniques on EFL with a mechanical lung model. METHODS A mechanical lung model was created to assess the effects of IID and PEP techniques. The thorax was simulated by a plexiglas box in which an adult test lung was connected. A calibration syringe simulated the inspiratory phase. Later, with activation of the IID, the expiratory phase was driven by the deflation generated by the device. With PEP, the expiration occurred maintaining an expiratory pressure between 5 and 10 cmH2O. A pneumotachograph and a pressure transducer were placed in series for flow, volumes and pressure measurements. RESULTS The model reproduced physiological characteristics of EFL. However, the deflation of the model was slowed by IID and PEP, and flow remained almost constant, so flow limitation was reduced. CONCLUSION The IID and PEP attenuate EFL and increase exhaled volume in the in vitro model.
Affiliations

Citations

  • APA
  • Chicago
  • FWB

Ribeiro Fonseca Franco de Macedo, J., Reychler, G., Poncin, W., & Liistro, G. (2024). Effects of the intermittent intrapulmonary deflation technique on expiratory flow limitation: an in vitro study. Journal of Clinical Monitoring and Computing, 38(1), 69-75. https://doi.org/10.1007/s10877-023-01093-3 (Original work published 2024)