Abstract:Importance
Obstructive sleep apnea (OSA) is more common among patients with asthma; whether asthma is associated with the development of OSA is unknown.
Objective
To examine the prospective relationship of asthma with incident OSA.
Design
Population-based prospective epidemiology study (the Wisconsin Sleep Cohort).
Setting
Beginning in 1988, adult participants were recruited from a random sample of Wisconsin state employees to attend overnight polysomnography studies at 4-year intervals. Asthma and covar… Show more
“…Younger children are followed more closely by pediatricians and there may be more opportunities to elicit symptoms. Asthma is associated with the risk of developing obstructive sleep apnea in the general population [8] and the majority of patents with PHP1a and sleep apnea also carried a diagnosis of asthma.…”
Background/Aims: Pseudohypoparathyroidism type 1a (PHP1a) is a rare genetic disorder. This study aimed to determine the prevalence of sleep apnea in children with PHP1a. Methods: Nineteen patients with PHP1a between the age of 2 and 21 years were enrolled prospectively using online advertisements. Parents completed a medical history and surveys to assess sleep behavior. Polysomnography records were obtained when available. In addition, 18 subjects were identified in a retrospective chart review of de-identified medical records with 2.3 million patient charts. Results: Parents reported sleep disturbance (94%) and daytime somnolence (81%) in their children with PHP1a. In the retrospective chart review, 39% had a history of sleep apnea versus 8.8% of a similarly obese control group. In the combined analysis (n = 31), 52% had a history of snoring and 45% had a diagnosis of sleep apnea. Patients were obese with a mean BMI z-score of 2.20 ± 0.59. Patients with sleep apnea were significantly younger than those without a diagnosis (8.1 ± 5.4 vs. 12.8 ± 5.0 years, p = 0.02). Conclusions: Children with PHP1a have a 4.4-fold greater relative risk of sleep apnea than similarly obese children. Screening for sleep apnea in this population may be warranted to prevent adverse health outcomes.
“…Younger children are followed more closely by pediatricians and there may be more opportunities to elicit symptoms. Asthma is associated with the risk of developing obstructive sleep apnea in the general population [8] and the majority of patents with PHP1a and sleep apnea also carried a diagnosis of asthma.…”
Background/Aims: Pseudohypoparathyroidism type 1a (PHP1a) is a rare genetic disorder. This study aimed to determine the prevalence of sleep apnea in children with PHP1a. Methods: Nineteen patients with PHP1a between the age of 2 and 21 years were enrolled prospectively using online advertisements. Parents completed a medical history and surveys to assess sleep behavior. Polysomnography records were obtained when available. In addition, 18 subjects were identified in a retrospective chart review of de-identified medical records with 2.3 million patient charts. Results: Parents reported sleep disturbance (94%) and daytime somnolence (81%) in their children with PHP1a. In the retrospective chart review, 39% had a history of sleep apnea versus 8.8% of a similarly obese control group. In the combined analysis (n = 31), 52% had a history of snoring and 45% had a diagnosis of sleep apnea. Patients were obese with a mean BMI z-score of 2.20 ± 0.59. Patients with sleep apnea were significantly younger than those without a diagnosis (8.1 ± 5.4 vs. 12.8 ± 5.0 years, p = 0.02). Conclusions: Children with PHP1a have a 4.4-fold greater relative risk of sleep apnea than similarly obese children. Screening for sleep apnea in this population may be warranted to prevent adverse health outcomes.
“…Commonly cited risk factors for SDB include: obesity [7,8], race [8,9], prematurity [1,3], tobacco smoke exposure [10], and asthma [11,12]. Interestingly, it remains unclear whether gender differences exist in child SDB prevalence [13], which contrasts with the well-known higher SDB prevalence in males in the adult population [14].…”
Objective
Primary snoring (PS) and obstructive sleep apnea (OSA) not only affect the quality of sleep in a large number of young children, but have also been repeatedly associated with a variety of behavioral and cognitive problems. However, little is known about the potentially differing relationships of behavioral and cognitive pathology within the sleep disordered breathing (SDB) spectrum.
Method
This study examined data from an enriched for snoring community sample of 631 children aged between 4 and 10 years. Multivariate mixed models were used to assess the relationship between both snoring and the apnea–hypopnea index (AHI). Numerous cognitive and behavioral variables were used, while adjusting for several important demographic variables. These were followed by univariate analyses of individual measures and sensitivity analyses.
Results
Results indicated that snoring status is a significant predictor of general behavioral (p = 0.008) and cognitive (p = 0.013) domains, even after adjusting for baseline covariates and AHI severity. More frequent snoring was associated with poorer outcomes independent of AHI. However, AHI did not emerge as a significant predictor of the overall cognitive functioning domain (p = 0.377). Additionally, although AHI was a significant predictor of the general behavioral functioning domain (p = 0.008), the significance pattern and nature of its relationship with individual behavioral measures were inconsistent in post-hoc analyses.
Conclusion
The findings of this study suggest that general behavioral and cognitive function may decline with greater snoring severity. Further, snoring should not simply be assumed to represent a lower severity level of SDB, but should be examined as a potential predictor of relevant outcomes.
“…Indeed, reduced lung volumes, decreased elasticity and increased resistance of the lower airways are associated with more severe disease [2][3][4][5]. In addition, chronic airway diseases, including asthma and chronic obstructive pulmonary disease (COPD), influence the course of OSA [6,7]. Lower airway inflammation and oxidative stress are accelerated in OSA with a direct relationship between disease severity and the magnitude of lower airways inflammation [8].…”
Purpose Obstructive sleep apnoea (OSA) is a prevalent disorder, characterised by collapse of the upper airways during sleep. The impact of sleep-disordered breathing on pulmonary function indices is however currently not well described. The aim of the study was to evaluate diurnal change in lung function indices in a cohort of patients with OSA and relate pulmonary function changes to disease severity. Methods 42 patients with OSA and 73 healthy control subjects participated in the study. Asthma and COPD were excluded in all volunteers following a clinical and spirometric assessment. Spirometry was then performed in all subjects in the evening and the morning following a polysomnography study. Results There was no difference in evening or morning FEV 1 or FVC between patients and control subjects (p [ 0.05). Neither FEV 1 nor FVC changed in control subjects overnight (p [ 0.05). In contrast, FEV 1 significantly increased from evening (2.18/1.54-4.46/L) to morning measurement (2.26/1.42-4.63/L) in OSA without any change in FVC. The FEV 1 increase in OSA was related to male gender, obesity and the lack of treatment with statins or b-blockers (all p \ 0.05). A tendency for a direct correlation was apparent between overnight FEV 1 change and RDI (p = 0.05, r = 0.30).Conclusions Diurnal variations in spirometric indices occur in patients with OSA and FEV 1 appears to increase in subjects with OSA overnight. These changes occur in the absence of change in FVC and are directly related to the severity of OSA. These findings dictate a need to consider time of lung function measurement.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.