Phenotyping OSA: Conceptualization and Implications for Treatment with Mandibular Advancement Devices.

Mandibular advancement devices Obstructive sleep apnea Personalized medicine Phenotype

Journal

Dental clinics of North America
ISSN: 1558-0512
Titre abrégé: Dent Clin North Am
Pays: United States
ID NLM: 0217440

Informations de publication

Date de publication:
Jul 2024
Historique:
medline: 16 6 2024
pubmed: 16 6 2024
entrez: 15 6 2024
Statut: ppublish

Résumé

Obstructive Sleep Apnea (OSA) is a common medical disorder and the most impacting sleep disturbance. OSA derive from the narrowing of the upper airway during sleep, which result in recurrent episodes of ventilatory disturbances expressed by an increased airflow resistance (flow limitation and hypopneas) and often an absence of ventilation (apneas). The high heterogeneity in the clinical picture of OSA turns diagnostic and treatment challenging. In the last decade different phenotypes, referring to specific categories of patients that can be distinguished from others by features and related clinical meaningful attributes, were identified. Those phenotypes may predict clinically important outcomes as those deriving from MAD therapy.

Identifiants

pubmed: 38879282
pii: S0011-8532(24)00021-1
doi: 10.1016/j.cden.2024.03.004
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

485-493

Informations de copyright

Copyright © 2024 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Disclosure The authors have nothing to disclosure.

Auteurs

Izabella Paola Manetta (IP)

Otolaryngology, Head and Neck Surgery, Pontificial University of Campinas, Campinas, São Paulo, Brazil.

Miguel Meira E Cruz (M)

Unidade de Sono, Centro Cardiovascular da Universidade de Lisboa (CCUL@RISE), Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal; Centro Europeu do Sono, Lisboa, Portugal; Clínica Universitária de Cardiologia, Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal. Electronic address: mcruz@medicina.ulisboa.pt.

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Classifications MeSH