General nomenclature of air leak patterns: A proposal.


Journal

Sleep medicine
ISSN: 1878-5506
Titre abrégé: Sleep Med
Pays: Netherlands
ID NLM: 100898759

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 06 09 2023
revised: 05 10 2023
accepted: 20 10 2023
medline: 30 11 2023
pubmed: 29 10 2023
entrez: 28 10 2023
Statut: ppublish

Résumé

Leakage is a common issue with PAP therapy and may contribute to short-term non-compliance with treatment. PAP manufacturers use different methods to estimate and report air leaks (median, mean, p90, p95, % of important air leak, time spent on major leaks), which makes the analysis and comparisons challenging. Leak intensity is a well-known parameter of major importance as it can significantly affect the performance of PAP devices. However, there is a lack of knowledge regarding another leakage parameter, namely the leakage pattern. As of now, there is no standard classification for leak patterns in real-life settings. Our objective was to develop and propose a comprehensive nomenclature for leakage patterns observed during nasal auto-PAP therapy. We examined 50 ventilatory polygraphy recordings conducted with auto-PAP, based on data from a prior study in which the unintentional leak flow was precisely measured over time. We have categorized leaks into two main types: continuous leaks, which appear and persist for an extended period, and discontinuous leaks, which vanish more rapidly. Continuous leaks can have both abrupt or gradual apparitions and terminations. Their "shape" can be either interrupted or constant. Discontinuous leaks can have both abrupt or gradual apparitions and terminations. Due to the relatively short observation scale (less than 5 min minutes), this type of leakage is not characterized by a specific shape between apparition and termination. This nomenclature could be a valuable tool that facilitates comparative bench tests or clinical studies. This tool could support manufacturers in developing precise algorithms for leak compensation, residual AHI estimation and the accuracy of CPAP monitoring data. Lastly, establishing a standardized approach for describing and categorizing air leakage patterns could assist clinicians in identifying device-related issues, such as patient discomfort arising from specific types of leakage.

Identifiants

pubmed: 37897963
pii: S1389-9457(23)00402-1
doi: 10.1016/j.sleep.2023.10.024
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

188-190

Informations de copyright

Copyright © 2023. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Lebret Marius reports a relationship with Air Liquide Medical Systems and KerNel Biomedical that includes: employment.

Auteurs

Mathéo Richard (M)

KerNel Biomedical, 18 Rue Marie Curie Bâtiment ANIDER, Rouen, France.

Dany Jaffuel (D)

Department of Respiratory Diseases, CHU Montpellier, Montpellier, France; PhyMedExp, University of Montpellier, INSERM U1046, CNRS, UMR 9214, Montpellier, France.

Jean-Pierre Mallet (JP)

Department of Respiratory Diseases, CHU Montpellier, Montpellier, France; PhyMedExp, University of Montpellier, INSERM U1046, CNRS, UMR 9214, Montpellier, France.

Raphael Gilson (R)

Groupe ADENE, Rue de Chambert, Parc Euromédecine 2, Montpellier, France.

Maxime Patout (M)

AP-HP, Groupe Hospitalier Universitaire APHP-Sorbonne Université, Site Pitié-Salpêtrière, Service des Pathologies du Sommeil (Département R3S), Paris, France; Sorbonne Université, INSERM, UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, France.

Emeline Fresnel (E)

KerNel Biomedical, 18 Rue Marie Curie Bâtiment ANIDER, Rouen, France.

Marius Lebret (M)

KerNel Biomedical, 18 Rue Marie Curie Bâtiment ANIDER, Rouen, France; Erphan Paris-Saclay University, Versailles, France. Electronic address: mariuslebret@gmail.com.

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