Noninvasive ventilation automated technologies: a bench evaluation of device responses to sleep-related respiratory events - ERPHAN - Equipe de Recherche Paramédicale sur le Handicap NeuroMoteur
Article Dans Une Revue (Data Paper) Respiratory Care Année : 2023

Noninvasive ventilation automated technologies: a bench evaluation of device responses to sleep-related respiratory events

Résumé

Background: Noninvasive ventilation (NIV) is the reference standard treatment for most situations of chronic respiratory failure. NIV settings must be titrated to both preserve upper-airway patency and control hypoventilation. Automatic adjustment of pressure support (PS) and expiratory positive airway pressure (EPAP) may facilitate the initiation and follow-up of domiciliary NIV. However, whether the automatic-adjustment algorithms embedded into current devices accurately detect, respond to, and score common sleep-related respiratory events remains unclear. Methods: A bench was set up to simulate central hypopnea (CH), central apnea (CA), obstructive hypopnea (OH), and obstructive apnea (OA). Four home ventilators were evaluated, with their dedicated modes for automatic PS and EPAP adjustment. Results: All 4 devices increased PS during CH, CA, and OH. However, PS adjustment varied widely in magnitude, with tidal volumes within 100 ± 20% of the target being provided by only 3 devices for CH, one for CA, and one for OH. Two devices increased EPAP for OH and 3 for OA, including one that also increased EPAP for CA. Only 2 devices scored residual hypopnea after simulated CA, and only one scored a residual event after OH. One device scored no event. Conclusions: Current NIV devices differed markedly in their responses to, and reporting of, standardized sleep-related respiratory events. Further improvements in embedded NIV algorithms are needed to allow more widespread out-of-laboratory initiation and follow-up of NIV.
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Dates et versions

inserm-04169660 , version 1 (24-07-2023)

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Mathieu Delorme, Karl Leroux, Antoine Leotard, Ghilas Boussaid, Helene Prigent, et al.. Noninvasive ventilation automated technologies: a bench evaluation of device responses to sleep-related respiratory events. Respiratory Care, 2023, 68 (1), pp.18-30. ⟨10.4187/respcare.09807⟩. ⟨inserm-04169660⟩
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