Literature DB >> 28899523

Validation of the screening tool ApneaLink® in comparison to polysomnography for the diagnosis of sleep-disordered breathing in children and adolescents.

Florian Stehling1, Judith Keull2, Margarete Olivier2, Jörg Große-Onnebrink3, Uwe Mellies2, Boris A Stuck4.   

Abstract

OBJECTIVE: While out-of-center testing was introduced as an alternative for the diagnosis of obstructive sleep apnea in adults, polysomnography (PSG) is still considered mandatory in the diagnosis of sleep-disordered breathing (SDB) in children. The purpose of this study was to validate the outpatient screening device ApneaLink® in comparison to PSG in children and adolescents for the diagnosis of SDB.
METHODS: Sixty consecutive children and adolescents (10.4 ± 6.2, 0-22 years) with suspected SDB admitted to the sleep laboratory underwent simultaneous recording with full PSG and the screening device ApneaLink® based on flow measurement and oxygen saturation.
RESULTS: The mean apnea-hypopnea index (AHI) was 11.8 ± 19.7 in PSG and 10.3 ± 12.0 in ApneaLink®. When the AHI threshold was set to 5/h to diagnose SDB, the overall sensitivity for ApneaLink® was 79% and the specificity was 63%. After reducing the AHI threshold to 1/h, the sensitivity and specificity were 94% and 29%. In children older than 10 years, the performance of ApneaLink® improved (AHI 5/h: sensitivity 80%, specificity 64%; AHI 1/h: sensitivity 100%, specificity 50%).
CONCLUSION: These results show that the outpatient screening device ApneaLink® reliably identifies SDB in preselected children older than 10 years. In contrast, it may not be used for the exclusion of SDB.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ApneaLink; Children; Outpatient screening device; Polysomnography; Sleep-disordered breathing; Validation

Mesh:

Year:  2017        PMID: 28899523     DOI: 10.1016/j.sleep.2017.05.018

Source DB:  PubMed          Journal:  Sleep Med        ISSN: 1389-9457            Impact factor:   3.492


  6 in total

1.  OSA and Neurocognitive Impairment in Children With Congenital Heart Disease.

Authors:  Daniel Combs; Jamie O Edgin; Scott Klewer; Brent J Barber; Wayne J Morgan; Chiu-Hsieh Hsu; Ivo Abraham; Sairam Parthasarathy
Journal:  Chest       Date:  2020-03-25       Impact factor: 9.410

2.  Toward standardizing the clinical testing protocols of point-of-care devices for obstructive sleep apnea diagnosis.

Authors:  Vivek Tangudu; Kahkashan Afrin; Sandy Reddy; Nicolaas E P Deutz; Steven Woltering; Satish T S Bukkapatnam
Journal:  Sleep Breath       Date:  2020-08-31       Impact factor: 2.816

3.  The accuracy of a portable sleep monitor to diagnose obstructive sleep apnea in adolescent patients.

Authors:  Rakesh Bhattacharjee; Adam Benjafield; Amy Blase; Gretchen Dever; Janelle Celso; Javan Nation; Raquel Good; Atul Malhotra
Journal:  J Clin Sleep Med       Date:  2021-07-01       Impact factor: 4.324

4.  Assessment of Airflow and Oximetry Signals to Detect Pediatric Sleep Apnea-Hypopnea Syndrome Using AdaBoost.

Authors:  Jorge Jiménez-García; Gonzalo C Gutiérrez-Tobal; María García; Leila Kheirandish-Gozal; Adrián Martín-Montero; Daniel Álvarez; Félix Del Campo; David Gozal; Roberto Hornero
Journal:  Entropy (Basel)       Date:  2020-06-17       Impact factor: 2.524

5.  Periodic breathing is associated with blood pressure above the recommended target in patients with type 2 diabetes.

Authors:  Andreas W Schreib; Michael Arzt; Iris M Heid; Bettina Jung; Carsten A Böger; Stefan Stadler
Journal:  Sleep Med X       Date:  2020-05-07

6.  Unsupervised type III polygraphy in children undergoing adenotonsillectomy: a technical and economic report.

Authors:  Iury Lima Veloso; Camila de Castro Corrêa; José Vicente Tagliarini; Silke Anna Theresa Weber
Journal:  Sleep Sci       Date:  2021 Jan-Mar
  6 in total

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