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1.
Chinese Journal of Applied Clinical Pediatrics ; (24): 601-605, 2022.
Article in Chinese | WPRIM | ID: wpr-930482

ABSTRACT

Objective:To explore the brain electrical activity and its correlation with polysomnography monitoring parameters in children with obstructive sleep apnea syndrome (OSAS) and primary snoring.Methods:It was a prospective observational study involving children aged 6-12 years who presented to the Sleep Center of Beijing Children′s Hospital, Capital Medical University for polysomnography monitoring due to snoring at sleep from July 1 to December 31, 2019.Clinical data, polysomnography monitoring and 6-min measurement of brain electrical activity were collected from all the subjects.According to the results of polysomnography monitoring, the subjects were divided into the primary snoring group and the OSAS group at varying degrees.Based on the electroencephalogram (EEG) wavelet analysis, the brain injury index obtained by EEG synchronization and complexity analysis was used to reflect the changes of brain electrical activity in children in the resting state.Rank sum test was used to test the differences in brain injury index and the percentage of each frequency band of brainwave.Multivariate linear regression method was used to analyze risk factors for EEG activity.Results:A total of 149 children were recruited, including 110 males and 39 females.There was no significant difference in the proportions of α, θ, β and δ waves among OSAS children at varying degrees(all P>0.05). The brain injury index of the primary snoring group, mild OSAS group, moderate OSAS group and severe OSAS group was 0 (0, 3), 14 (9, 16), 26 (24, 28), and 34(30, 44), respectively.There were statistically significant differences in the brain injury index among groups ( H=129.70, P<0.01). The brain injury index gradually increased from the primary snoring group to the severe OSAS group.Multivariate linear regression analysis showed that the obstructive apnea hypopnea index (OAHI), mean oxygen saturation and minimum oxygen saturation were independently correlated with the brain injury index (all P<0.05). Conclusions:There were no significant differences in the ratios of α, θ, β and δ waves among OSAS children at varying degrees, while the EEG complexity and synchronicity varied a lot.With the increase of OAHI, the brain injury index gradually increased.The brain injury index was independently correlated with OAHI, mean oxygen saturation and minimum oxygen saturation.

2.
Chinese Journal of Pediatrics ; (12): 13-18, 2020.
Article in Chinese | WPRIM | ID: wpr-798571

ABSTRACT

Objective@#To evaluate the endothelial function in obstructive sleep apnea syndrome(OSAS) children and to identify related factors of endothelial dysfunction.@*Methods@#This was a cross-sectional study. Children with habitual snoring (snoring ≥3 nights per week) admitted to the ward of otolaryngology, head and neck surgery, Beijing Children′s Hospital were recruited to this study between 1st June 2015 and 1st March 2016. All children aged 3 to 11 years and of them 245 were boys and 110 were girls. All subjects underwent an overnight polysomnography (PSG), as well as endothelial function testing. All subjects were grouped into primary snoring (PS) and OSAS group according to the obstructive apnea hypopnea index (OAHI). T test or Wilcoxon test were used to compare the differences in PSG results between the two groups, and univariate and multivariate correlation analyses were used to explore the relevant factors affecting the endothelial function.@*Results@#A total of 355 subjects were enrolled and 248 had OSAS, and 107 had PS. There were no significant differences in age, gender and body mass index (BMI) Z-score between the two groups (all P>0.05). OSAS group had higher OAHI, oxgen desaturation index and respiratory related arousal index (5.2 (2.2, 13.2) vs. 0.4 (0.1, 0.7), 4.1 (2.0, 13.1) vs. 0.5 (0.1, 1.0), 2.5 (1.0, 4.8) vs. 0.4 (0.1, 0.9), Z=-14.957, -11.790, -10.378, all P<0.01), and lower minimum oxygen saturation and reactive hyperemia index (RHI) than those of PS (0.89 (0.85, 0.92) vs. 0.94 (0.91, 0.95), 1.2±0.2 vs. 1.1±0.1, Z=-9.337, t=5.354, P<0.01). Univariate regression analysis showed that RHI was linearly correlated with age (parameter estimate=0.017, P<0.01), gender (parameter estimate=0.065, P<0.01), OAHI (parameter estimate=-0.023, P<0.01), oxygen desaturation index (parameter estimate=-0.019, P<0.01), respiratory related arousal index (parameter estimate=-0.031, P<0.01), and oxygen saturation nadir (parameter estimate=0.067, P=0.045). The relationship between BMI Z-score and RHI was quadratic. Multivariate regression analysis showed that age (parameter estimate=0.015, P<0.01), BMI Z-score (parameter estimate=0.040, P<0.01), BMI Z-score quadratic form (parameter estimate=-0.010, P<0.01), respiratory related arousal index (parameter estimate=-0.020, P<0.01) were independently correlated with RHI.@*Conclusions@#Children with OSAS have significant endothelial dysfunction compared with PS. Frequent arousals due to obstructive respiratory events during sleep may be a candidate risk factor for endothelial dysfunction in children with OSAS.

3.
Chinese Journal of Otorhinolaryngology Head and Neck Surgery ; (12): 220-224, 2017.
Article in Chinese | WPRIM | ID: wpr-808364

ABSTRACT

Objective@#To investigate the characteristics of sleep-related respiratory events in normal children and to provide normal polysomnographic parameters for diagnosing sleep-disordered breathing in children.@*Methods@#Normal subjects between 3 and 14 years old were enrolled from 1 July 2014 to 31 December 2015 and the subjects received overnight polysomnography at the sleep center of our hospital. They were children of our hospital employees or were recruited from the communities who did not have sleep and respiratory disorders. The children were divided into preschool group (3-5 years) and school-age group (6-14 years). Apnea index (AI), obstructive apnea index (OAI), central apnea index (CAI), and mixed apnea index (MAI) were compared between the two groups. Data for continuous variables that showed normal distribution were expressed as ±s. M(P25, P75) were used when data were not normally distributed. Continuous variables that showed normal distribution were compared by using an independent-sample t-test. Wilcoxon-test was performed when data exhibited non-normal distribution. Differences in categorical data were tested with Chi-square test. Pearson correlation test was applied for the correlation analysis. P<0.05 was considered statistically significant.@*Results@#A total of 115 normal children took part in the study including 40 in preschool group and 75 in school-age group. Children in both groups had a few sleep apnea events, most of which were central apneas, accounting for 80% and 70% of the total respiratory events respectively. Central apnea index in preschool children were significantly higher than that of school-age children (P<0.001), with median of 0.6 times/h and 0.1 times/h, respectively. Median OAI of both groups were 0.0 times/h without significant difference (P=0.748). Obstructive apnea events occurred mainly in the supine position in both groups.@*Conclusions@#Normal children may have a few apnea events in sleep that were predominantly central apnea. CAI of preschool children is significantly higher than that of school-age children. Obstructive sleep apnea is rare in normal children, and sleep apnea occurs mainly in the supine position.

4.
Chinese Archives of Otolaryngology-Head and Neck Surgery ; (12): 313-317, 2016.
Article in Chinese | WPRIM | ID: wpr-493981

ABSTRACT

OBJECTIVE To illuminate the adenoid bacteria distribution in children with adenoid hypertrophy. METHODS PubMed, Embash, Medline, CNKI, VIP Information and Wanfang data were searched for studies on the adenoid bacteria distribution and adenoid hypertrophy. Random effects meta-analysis was used to pool data. RESULTS Nine studies were included in this meta analysis. The pooled detection rates of haemophilus influenza, staphylococcus aureus and streptococcus pneumonia were 0.21 (95%CI, 0.09-0.32), 0.14 (95%CI, 0.09-0.20) and 0.15 (95%CI , 0.08-0.22) respectively. CONCLUSION Haemophilus influenzae, staphylococcus aureus, and streptococcus pneumoniae are three main kinds of pathogenic bacteria of adenoid hypertrophy in children.

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