Sleep apnoea-hypopnoea syndrome in the obese and non-obese: Clinical, polysomnographical and clinical characteristics.

Autor:	Martínez Cuevas E; Centro de Salud Gamonal Antigua, Burgos, Spain. Electronic address: emartinezcue@saludcastillayleon.es., Muñoz Peláez C; Unidad Multidisciplinar de Sueño y Ventilación Dr. J. Terán-Santos, Hospital Universitario de Burgos, Burgos, Spain., Ordax Carbajo E; Unidad Multidisciplinar de Sueño y Ventilación Dr. J. Terán-Santos, Hospital Universitario de Burgos, Burgos, Spain., Navazo Eguia AI; Unidad Multidisciplinar de Sueño y Ventilación Dr. J. Terán-Santos, Hospital Universitario de Burgos, Burgos, Spain., Martín Viñe L; Unidad Multidisciplinar de Sueño y Ventilación Dr. J. Terán-Santos, Hospital Universitario de Burgos, Burgos, Spain., Prieto Jimeno A; Centro de Salud Gamonal Antigua, Burgos, Spain., Alonso-Álvarez ML; Unidad Multidisciplinar de Sueño y Ventilación Dr. J. Terán-Santos, Hospital Universitario de Burgos, Burgos, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain.
Jazyk:	angličtina
Zdroj:	Anales de pediatria [An Pediatr (Engl Ed)] 2021 Sep; Vol. 95 (3), pp. 147-158. Date of Electronic Publication: 2021 Aug 24.
DOI:	10.1016/j.anpede.2020.07.020
Abstrakt:	Introduction: Sleep apnoea-hypopnoea syndrome (SAHS) and childhood obesity are two high prevalence conditions that represent a public health challenge. Objective: To analyse the association between both and comparing child groups that had or did not have both conditions. Patients and Methods: A prospective study in children (3-14 years), referred to the "Multidisciplinary Sleep Unit" due to suspected SAHS, between 1 November 2015 and 1 August 2017. The following parameters were evaluated: anthropometry, symptoms, blood pressure, ear, nose, and throat examination, polysomnography (nocturnal PSG) and laboratory tests. Results: A total of 67 children were evaluated (64% non-obese (NOb) and 36% obese (Ob). It was observed that the Ob were older (P < .001), slept less hours (P = .028), did less physical exercise (P = .029), ate less in the school dining room (P = .009), had la lower sleep efficiency, and had abnormal values in carbohydrate and lipid metabolism. The children with SAHS were younger (P = .010), a high percentage of daytime sleepiness (P = .001), and breathing through the mouth (P = .006), greater percentile of diastolic blood pressure (P = .019) and a lower IGF-1 (P = .003) than those that did not have SAHS. The comparison of the SAHS NOb and SAHS Ob groups, showed that the first group were younger (P = .010), snored more (P = .012), had a more severe SAHS (IAH 13.1 vs 5.4, P = .041), and a higher GOT (P < .001). In the second group, they slept less hours P = .038) and showed lower values of glucose (P = .039), insulin (P < .001), and HOMA (P < .001). Conclusion: The behaviour of SAHS is different in obese children and non-obese children, with differences in age, clinical characteristics, severity of SAHS, and metabolic changes. The children diagnosed with SAHS were in the higher percentile of diastolic blood pressure. Obesity was associated with worse sleep quality, and changes in carbohydrate and lipid metabolism. (Copyright © 2021 Asociación Española de Pediatría. Published by Elsevier España, S.L.U. All rights reserved.)
Databáze:	MEDLINE
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