Literature DB >> 20875162

What is "abnormal" in pediatric sleep?

Leila Kheirandish-Gozal1.   

Abstract

Sleep-disordered breathing in general and, more particularly, the obstructive sleep apnea syndrome are highly prevalent conditions in children. Although the diagnosis appears relatively straightforward using a sleep study (polysomnography), this labor-intensive and expensive procedure is used in only a minority of cases across the country because of the relative unavailability of pediatric sleep centers. However, the definition of an abnormal sleep study is not a trivial process and requires a methodical delineation of normative data, implication of "abnormal" variables to specific outcomes, and demonstration of cost-effectiveness of such approach. Unfortunately, such studies are lacking; there is no real consensus on any of these important aspects, which in turn leads to delays in diagnosis and treatment. Such paucity of validated data, however, is an opportunity to explore alternative options that would enable incorporation of biomarkers into well defined and validated algorithms. There is no doubt that novel approaches to the evaluation of community-based and clinically referred pediatric populations should enable more pragmatic and reliable diagnostic approaches for pediatric sleep-disordered breathing.

Entities:  

Mesh:

Year:  2010        PMID: 20875162

Source DB:  PubMed          Journal:  Respir Care        ISSN: 0020-1324            Impact factor:   2.258


  6 in total

Review 1.  Cutting-edge technologies for diagnosis and monitoring of snoring in children.

Authors:  Ioannis Vlastos; Ioannis Athanasopoulos
Journal:  World J Clin Pediatr       Date:  2016-02-08

2.  Automated Screening of Children With Obstructive Sleep Apnea Using Nocturnal Oximetry: An Alternative to Respiratory Polygraphy in Unattended Settings.

Authors:  Daniel Álvarez; María L Alonso-Álvarez; Gonzalo C Gutiérrez-Tobal; Andrea Crespo; Leila Kheirandish-Gozal; Roberto Hornero; David Gozal; Joaquín Terán-Santos; Félix Del Campo
Journal:  J Clin Sleep Med       Date:  2017-05-15       Impact factor: 4.062

3.  Heart rate variability as a potential biomarker of pediatric obstructive sleep apnea resolution.

Authors:  Adrián Martín-Montero; Gonzalo C Gutiérrez-Tobal; Leila Kheirandish-Gozal; Fernando Vaquerizo-Villar; Daniel Álvarez; Félix Del Campo; David Gozal; Roberto Hornero
Journal:  Sleep       Date:  2022-02-14       Impact factor: 6.313

4.  Assessment of oximetry-based statistical classifiers as simplified screening tools in the management of childhood obstructive sleep apnea.

Authors:  Andrea Crespo; Daniel Álvarez; Leila Kheirandish-Gozal; Gonzalo C Gutiérrez-Tobal; Ana Cerezo-Hernández; David Gozal; Roberto Hornero; Félix Del Campo
Journal:  Sleep Breath       Date:  2018-02-16       Impact factor: 2.816

5.  A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea.

Authors:  Fernando Vaquerizo-Villar; Daniel Alvarez; Leila Kheirandish-Gozal; Gonzalo C Gutierrez-Tobal; Veronica Barroso-Garcia; Eduardo Santamaria-Vazquez; Felix Del Campo; David Gozal; Roberto Hornero
Journal:  IEEE J Biomed Health Inform       Date:  2021-08-05       Impact factor: 7.021

6.  Screening Severe Obstructive Sleep Apnea in Children with Snoring.

Authors:  Hui-Shan Hsieh; Chung-Jan Kang; Hai-Hua Chuang; Ming-Ying Zhuo; Guo-She Lee; Yu-Shu Huang; Li-Pang Chuang; Terry B-J Kuo; Cheryl C-H Yang; Li-Ang Lee; Hsueh-Yu Li
Journal:  Diagnostics (Basel)       Date:  2021-06-26
  6 in total

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