Síndrome de apneas-hipopneas durante el sueño en obesos y no obesos: características clínicas, polisomnográficas y metabólicas

  1. Elena Martínez Cuevas
  2. Carmen Muñoz Peláez
  3. Estrella Ordax Carbajo
  4. Ana Isabel Navazo Eguia
  5. Lourdes Martín Viñe
  6. Aranzazu Prieto Jimeno
  7. María Luz Alonso-Álvarez
Aldizkaria:
Anales de Pediatría: Publicación Oficial de la Asociación Española de Pediatría ( AEP )

ISSN: 1695-4033 1696-4608

Argitalpen urtea: 2021

Alea: 95

Zenbakia: 3

Orrialdeak: 147-158

Mota: Artikulua

DOI: 10.1016/J.ANPEDI.2020.07.030 DIALNET GOOGLE SCHOLAR lock_openSarbide irekia editor

Beste argitalpen batzuk: Anales de Pediatría: Publicación Oficial de la Asociación Española de Pediatría ( AEP )

Laburpena

Introduction Sleep apnoea-hypopnoea syndrome (SAHS) and childhood obesity are la 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 and 36% obese. It was observed that the obese 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 non-obese and SAHS obese 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.