Clinical and PSG Characteristics of Children with Mild OSA and Respiratory Events Terminated Predominantly with Arousal

Wu, Yingnian; Zheng, Lirong; Wu, Panting; Tang, Yuzhe; Xu, Zhifang; Ni, Xin

doi:10.1155/2021/5549423

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…De acuerdo con la bibliografía, de los niños amigdalectomizados, hasta casi un 70% son por SAOS [ 30 ]. En nuestra muestra, el 73,7% de los niños con SAOS tenía hipertrofia amigdalar, porcentaje similar al encontrado en el estudio de Wu et al (2021) [ 30 , 47 ]. Nieminen et al (2000) encontraron que el 78% de los niños con SAOS y ronquidos y el 93% con SAOS sin ronquidos tenían hipertrofia amigdalar de grados 3 y 4 [ 28 , 30 , 46 ].…”

Section: Discussionunclassified

Prevalencia del síndrome de apnea obstructiva del sueño infantil en una unidad de sueño de referencia

Bravo-Quelle¹,

Sáez-Ansotegui²,

Bellón-Alonso³

et al. 2023

RevNeurol

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Introducción. El síndrome de apnea obstructiva del sueño (SAOS) afecta a entre el 1 y el 6% de la población infantil. En su diagnóstico, se incluyen: a) ronquidos y/o apneas; y b) un índice de apneas e hipopneas >3/hora obtenido en la polisomnografía (PSG). El objetivo principal de este trabajo es determinar la prevalencia del SAOS en nuestra población de estudio. Pacientes y métodos. Estudio descriptivo con una muestra de 151 niños con edades comprendidas entre 1 y 12 años, remitidos a la unidad de sueño del Hospital General Universitario Gregorio Marañón para la realización de una PSG. Se analizaron las variables demográficas sexo y edad; las variables clínicas ronquidos, apneas e hipertrofia amigdalar; y la presencia de SAOS basada en el criterio diagnóstico polisomnográfico de un índice de apneas e hipopneas >3/hora. Resultados. La edad media de la muestra fue de 5,37 años (desviación estándar: 3,05) y el 64,9% eran varones. En el 90,1% de los casos, el motivo de consulta fue sospecha de SAOS. Los ronquidos, las apneas y la hipertrofia amigdalar se observaron en el 73,5, el 48,7 y el 60% de los casos, respectivamente. Se diagnosticó SAOS en 19 (12,6%) niños; en el 13,5% de los roncadores; en el 15,1% de los niños con apneas; y en el 15,6% de los niños con hipertrofia amigdalar. Conclusiones. En nuestro estudio, la prevalencia del SAOS en niños fue del 12,6%, superior a la descrita en la mayoría de los estudios epidemiológicos, pero similar a la observada en los que incluyen la PSG para el diagnóstico del SAOS.

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Section: Discussionunclassified

Prevalencia del síndrome de apnea obstructiva del sueño infantil en una unidad de sueño de referencia

Bravo-Quelle¹,

Sáez-Ansotegui²,

Bellón-Alonso³

et al. 2023

RevNeurol

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“…46 Sleep parameters such as arousal index and oxygen desaturation index in relation to AHI were reported in various studies. 22,24,47,48 It was reported that men are more likely to have OSA than women of nearly all ages and both sexes were more likely to have OSA patients with an AHI ≥5 increased with age, 49 and the male patients had significantly higher mean AHI than the female patients. A significant correlation was observed between the sleep parameters such as AI and ODI with age and BMI in predicting OSA.…”

Section: Ta B L E 4 (Continued)mentioning

confidence: 99%

Gender differences in the upper airway, craniofacial morphological and polysomnographic parameters in patients with obstructive sleep apnoea

Udayakumar,

Jo,

Kim

et al. 2023

J of Oral Rehabilitation

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BackgroundObstructive sleep apnoea (OSA) is a common sleep disorder characterized by repetitive episodes of upper airway collapse during sleep associated with arousals with or without oxygen desaturation.ObjectiveThis study aims to assess and analyse the morphological and neurological factors associated with obstructive sleep apnoea using polysomnography study data and two‐dimensional cephalometric analysis of airway and skeletal parameters and their correlation in the patients with varying severities of obstructive sleep apnoea.MethodsThis study included 892 patients who underwent a complete work up, including a thorough history, clinical examination, standard polysomnography study and 2D cephalometric analysis to diagnose obstructive sleep apnoea. This study divided the participants into two groups based on the AHI score from the PSG study: AHI < 15 and AHI > 15 groups. The groups were further divided into male and female groups to study the prevalence of OSA. The analysis involved 13 cephalometric parameters: Seven linear and six angular measurements. The airway parameters measured in this study were minimum posterior airway space (PAS_min), hyoid bone to the mandibular plane (H_MNP) and soft palate length (SPL). All the subjects in this study underwent a standard overnight polysomnography study at the sleep centre in Samsung Medical Center.ResultsA total of 892 adult participants (M: F = 727:165, mean age: 50.6 ± 13.2 years and age range: 18–85 years). AHI >15 group was significantly older with higher BMI, NC and WC compared to the AHI < 15 groups in both male and female groups. There was statistical significance observed in N1, N3, AI, ODI, lowest saturation (%) and apnoea max length between the groups (p < .001). The arousal index (AI), especially the respiratory arousal index was considerably higher in the male group. There were significantly higher values in all the PSG parameters in the male group. In the airway parameters, hyoid bone position and soft palate length showed significant differences (p < .001), whereas the PAS did not show any differences (p = .225) between the AHI <15 and AHI >15 groups. The overall skeletal cephalometric parameters showed no significant differences between the groups, whereas the gonial angle and AB to mandibular plane angle showed significant differences in the female group (p = .028, p = .041 respectively).ConclusionThe partial correlation of cephalometric parameters with AHI showed a stronger correlation between the H_MNP and AHI in both men and women. The position of the hyoid bone and the soft palate length influences the progression of OSA, especially in male patients. This study found no direct association between the minimum PAS and varying severities of OSA in men and women. We speculate that more than the craniofacial morphological factors such as the sagittal and vertical position of the maxilla and the mandible, the position of the hyoid bone might be more responsible for the severity of OSA.

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“…and Chervin et al22 discovered that children with OSA had higher proportions of N1 sleep and lower proportions of N2 sleep compared to a control group. In a population of children with mild OSA, Wu et al23 found a greater percentage of N1 sleep and a decreased fraction of N3 sleep in an arousal predominant group. And lastly, Durdik et al 13 reported a greater percentage of N1 sleep, a lower percentage of N3 sleep and a reduced sleep efficiency in children with OSA.…”

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confidence: 98%

Polysomnographic Characteristics of Sleep Architecture in Children With Obstructive Sleep Apnea

Don,

Osterbauer,

Gowthaman

et al. 2024

Ann Otol Rhinol Laryngol

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Background: The conventional measure of sleep fragmentation is via polysomnographic evaluation of sleep architecture. Adults with OSA have disruption in their sleep cycles and spend less time in deep sleep stages. However, there is no available evidence to suggest that this is also true for children and published results have been inconclusive. Objective: To determine polysomnographic characteristics of sleep architecture in children with OSA and investigate effects relative to OSA severity. Methods: Overnight polysomnograms (PSG) of children referred for suspected OSA were reviewed. Subjects were classified by apnea hypopnea index (AHI). PSG parameters of sleep architecture were recorded and analyzed according to OSA severity. Results: Two hundred and eleven children were studied (median age of 7.0 years, range 4-10 years) Stage N1 sleep was longer while stage N2 sleep and REM sleep was reduced in the OSA group when compared to those without OSA (6.10 vs 2.9, P < .001; 42.0 vs 49.7, P < .001; 14.0 vs 15.9, P = .05). The arousal index was also higher in the OSA group (12.9 vs 8.2, P < .001). There was a reduction in sleep efficiency and total sleep time and an increase in wake after sleep onset noted in the OSA group (83.90 vs 89.40, P = .003; 368.50 vs 387.25, P = .001; 40.1 ± 35.59 vs 28.66 ± 24.14, P = .007; 29.00 vs 20.50; P = .011). No significant difference was found in N3 sleep stage (33.60 vs 30.60, P = .14). Conclusion: We found evidence that children with OSA have a disturbance in their sleep architecture. The changes indicate greater sleep fragmentation and more time spent in lighter stages of sleep. Future research is needed and should focus on more effective methods to measure alterations in sleep architecture.

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Clinical and PSG Characteristics of Children with Mild OSA and Respiratory Events Terminated Predominantly with Arousal

Cited by 4 publications

References 30 publications

Prevalencia del síndrome de apnea obstructiva del sueño infantil en una unidad de sueño de referencia

Prevalencia del síndrome de apnea obstructiva del sueño infantil en una unidad de sueño de referencia

Gender differences in the upper airway, craniofacial morphological and polysomnographic parameters in patients with obstructive sleep apnoea

Polysomnographic Characteristics of Sleep Architecture in Children With Obstructive Sleep Apnea

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