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Published on: December 6, 2016
Clinical Parameters Predicting Obstructive Sleep Apnoea Syndrome and Its Severity in Children Referred to a Sleep
Zaya Aye1, Win Lai May2, Saw Win2
1Parami General Hospital Sleep Laboratory, Parami General Hospital, Yangon, Myanmar.
Insights
Pediatric obstructive sleep apnea syndrome (OSAS) is common, affecting 82.2% of children studied. Male sex, obesity, and large tonsils predict OSAS and its severity, with obesity correlating with severity in all ages.
Area of Science:
- Pediatric Sleep Medicine
- Respiratory Medicine
- Clinical Pediatrics
Background:
- Pediatric obstructive sleep apnea syndrome (OSAS) is frequently underdiagnosed due to subtle symptoms.
- Early identification and understanding of OSAS predictors are crucial for timely intervention.
Purpose of the Study:
- To determine the prevalence of OSAS in children undergoing polysomnography.
- To identify clinical predictors associated with OSAS occurrence and severity.
Main Methods:
- Retrospective review of polysomnography (PSG) records for children aged 2-18 years.
- Exclusion criteria included incomplete PSG data, prior PSG, or adenotonsillectomy history.
- Multivariable logistic regression analysis was used to identify independent predictors.
Main Results:
- OSAS prevalence was high at 82.2% (289/349 children).
- Male sex, overweight/obesity, and tonsil grade 4 were associated with OSAS.
- Severe OSAS was linked to male sex, obesity, lower SpO2, witnessed apneas, and daytime sleepiness.
- Obesity correlated with OSAS severity in both younger and older children.
- Tonsil grade correlated with OSAS severity only in younger children.
Conclusions:
- Male sex, overweight/obesity, and tonsil grade 4 are significant predictors of pediatric OSAS and its severity.
- Lower SpO2, witnessed apneas, and daytime sleepiness predict severe OSAS.
- Clinical factors like obesity and tonsil size are important in assessing OSAS risk and severity in children.
Background:
Paediatrics obstructive sleep apnoea syndrome (OSAS) is often underdiagnosed by medical practitioners due to its subtle and nonspecific symptoms in children. This study aimed to determine the prevalence of OSAS and identify clinical predictors of its occurrence and severity.
Methods:
Medical records of children (2-18 years) who underwent polysomnography (PSG) at a sleep laboratory in Myanmar during 2012-2023 were reviewed retrospectively. Children with incomplete PSG data, a prior PSG record in the same sleep laboratory, or a history of adenotonsillectomy were excluded from the study.
Results:
This study included 349 children with mean ± SD age 6.8 ± 2.8 year. OSAS was identified in 82.2% (289/349). Boys, overweight/obesity and tonsil grade-4 were independently associated with OSAS and boys, overweight/obesity, lower resting SpO2, witnessed apnoea, abnormal daytime sleepiness and tonsil grade-4 were independently associated with severe OSAS on multivariable logistic regression. Among 2-8-year-old children, there was a significant mild positive correlation between AHI and tonsil grades (r = 0.29, p < 0.001) and between AHI and BMI (r = 0.21, p < 0.001). Among 9-18-year-old children, there is a moderate positive correlation between AHI and BMI (r = 0.34, p = 0.003); however, the correlation between AHI and tonsil grades was not significant r = 0.08 (p = 0.51).
Conclusion:
Male sex, overweight/obesity and tonsil grade-4 can predict OSAS and its severity in children. Lower SpO2 levels, witnessed apnoea and excessive daytime sleepiness can also predict severe OSAS. Although the degree of obesity is correlated with OSAS severity in both older and younger children, the degree of tonsil grades is correlated with its severity only in younger children.
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