Literature DB >> 23997059

Ambulatory monitoring in the diagnosis and management of obstructive sleep apnoea syndrome.

Jaime Corral-Peñafiel1, Jean-Louis Pepin, Ferran Barbe.   

Abstract

Obstructive sleep apnoea (OSA) is a highly prevalent disorder associated with complications such as arterial hypertension, cardiovascular diseases and traffic accidents. The resources allocated for OSA are insufficient and OSA is a significant public health problem. Portable recording devices have been developed for the detection of OSA syndrome and have proved capable of providing an equivalent diagnosis to in-laboratory polysomnography (PSG), at least in patients with a high pre-test probability of OSA syndrome. PSG becomes important in patients who have symptoms and certain comorbidities such as chronic obstructive pulmonary disease or stroke, as well as in patients with a clinical history suggesting a different sleep disorder. Continuous positive airway pressure is the most effective treatment in OSA. Ambulatory monitoring of the therapeutic modalities has been evaluated to enhance the care process and reduce costs compared to the conventional approach, without sacrificing efficiency. This review evaluates the role of portable monitoring devices in the diagnostic process of OSA and the search for alternative strategies based on ambulatory management protocols.

Entities:  

Mesh:

Year:  2013        PMID: 23997059     DOI: 10.1183/09059180.00004213

Source DB:  PubMed          Journal:  Eur Respir Rev        ISSN: 0905-9180


  18 in total

1.  Diagnostic accuracy of level IV portable sleep monitors versus polysomnography for obstructive sleep apnea: a systematic review and meta-analysis.

Authors:  Lusine Abrahamyan; Yeva Sahakyan; Suzanne Chung; Petros Pechlivanoglou; Joanna Bielecki; Steven M Carcone; Valeria E Rac; Michael Fitzpatrick; Murray Krahn
Journal:  Sleep Breath       Date:  2018-01-09       Impact factor: 2.816

Review 2.  A new mHealth communication framework for use in wearable WBANs and mobile technologies.

Authors:  Sana Tmar-Ben Hamida; Elyes Ben Hamida; Beena Ahmed
Journal:  Sensors (Basel)       Date:  2015-02-03       Impact factor: 3.576

3.  Apnea and heart rate detection from tracheal body sounds for the diagnosis of sleep-related breathing disorders.

Authors:  Christoph Kalkbrenner; Manuel Eichenlaub; Stefan Rüdiger; Cornelia Kropf-Sanchen; Wolfgang Rottbauer; Rainer Brucher
Journal:  Med Biol Eng Comput       Date:  2017-08-29       Impact factor: 2.602

4.  Improvement in obstructive sleep apnea diagnosis and management wait times: A retrospective analysis of home management pathway for obstructive sleep apnea.

Authors:  Samuel Alan Stewart; Robert Skomro; John Reid; Erika Penz; Mark Fenton; John Gjevre; David Cotton
Journal:  Can Respir J       Date:  2015-03-09       Impact factor: 2.409

5.  Primary Care Physicians Can Comprehensively Manage Patients with Sleep Apnea. A Noninferiority Randomized Controlled Trial.

Authors:  M Ángeles Sánchez-Quiroga; Jaime Corral; Francisco J Gómez-de-Terreros; Carmen Carmona-Bernal; M Isabel Asensio-Cruz; Marta Cabello; M Ángeles Martínez-Martínez; Carlos J Egea; Estrella Ordax; Ferran Barbe; Javier Barca; Juan F Masa
Journal:  Am J Respir Crit Care Med       Date:  2018-09-01       Impact factor: 21.405

Review 6.  Wearable Sleep Technology in Clinical and Research Settings.

Authors:  Massimiliano de Zambotti; Nicola Cellini; Aimée Goldstone; Ian M Colrain; Fiona C Baker
Journal:  Med Sci Sports Exerc       Date:  2019-07       Impact factor: 5.411

7.  Sleep breathing disorders and cognitive function in the elderly: an 8-year follow-up study. the proof-synapse cohort.

Authors:  Magali Saint Martin; Emilia Sforza; Frédéric Roche; Jean Claude Barthélémy; Catherine Thomas-Anterion
Journal:  Sleep       Date:  2015-02-01       Impact factor: 5.849

8.  Obstructive Sleep Apnoea Syndrome Screening Through Wrist-Worn Smartbands: A Machine-Learning Approach.

Authors:  Davide Benedetti; Umberto Olcese; Simone Bruno; Marta Barsotti; Michelangelo Maestri Tassoni; Enrica Bonanni; Gabriele Siciliano; Ugo Faraguna
Journal:  Nat Sci Sleep       Date:  2022-05-18

9.  Validation of a New System Using Tracheal Body Sound and Movement Data for Automated Apnea-Hypopnea Index Estimation.

Authors:  Christoph Kalkbrenner; Manuel Eichenlaub; Stefan Rüdiger; Cornelia Kropf-Sanchen; Rainer Brucher; Wolfgang Rottbauer
Journal:  J Clin Sleep Med       Date:  2017-10-15       Impact factor: 4.062

10.  Automatic Video Analysis for Obstructive Sleep Apnea Diagnosis.

Authors:  Jorge Abad; Aida Muñoz-Ferrer; Miguel Ángel Cervantes; Cristina Esquinas; Alicia Marin; Carlos Martínez; Josep Morera; Juan Ruiz
Journal:  Sleep       Date:  2016-08-01       Impact factor: 5.849

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