Each year, over 500,000 adenotonsillectomies (AT), mostly for the treatment of pediatric obstructive sleep apnea (OSA) are performed in the US in children under 15 years of age. No definitive study, however, has been yet conducted that has rigorously evaluated the effectiveness of AT for not only improving sleep disordered breathing, but also for improving clinically relevant outcomes, such as neurocognitive function, behavior, and quality of life. The Childhood Adenotonsillectomy Trial (CHAT) was designed to assess neuropsychological and health outcomes in children randomized to receive early AT (eAT) as compared to Watchful Waiting with Supportive Care (WWSC). Important secondary goals of the study are to evaluate outcomes in subgroups defined by obesity and race. This paper addresses key elements in the design and implementation of a controlled trial for a widely used "standard practice" surgical intervention in a pediatric population, that include establishment of standardized data collection procedures across sites for a wide variety of data types, establishment of equipoise, and approaches for minimizing unblinding of selected key personnel. The study framework that was established should provide a useful template for other pediatric controlled studies or other studies that evaluate surgical interventions.
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http://dx.doi.org/10.5665/sleep.1388 | DOI Listing |
Obstructive sleep apnea (OSA) in children is a prevalent and serious respiratory condition linked to cardiovascular morbidity. Polysomnography, the standard diagnostic approach, faces challenges in accessibility and complexity, leading to underdiagnosis. To simplify OSA diagnosis, deep learning (DL) algorithms have been developed using cardiac signals, but they often lack interpretability.
View Article and Find Full Text PDFBackground: Sleep staging is critical for diagnosing sleep disorders. Traditional methods in clinical settings involve time-intensive scoring procedures. Recent advancements in data-driven algorithms using photoplethysmogram (PPG) time series have shown promise in automating sleep staging in adults.
View Article and Find Full Text PDFIran J Otorhinolaryngol
September 2024
Department of ENT, Golestan University of Medical Science, 5Azar Hospital, Gorgan, Iran.
Introduction: Hypertrophy of adenoids is a common condition in childhood, resulting in obstructive symptoms such as sleep apnea, snoring, and rhinosinusitis. Adenotonsillectomy is recommended to improve prognosis and quality of life. This case-control study compared facial angles and lip position related to dentofacial and mouth growth in symptomatic children with adenoid hypertrophy and asymptomatic control groups.
View Article and Find Full Text PDFCan J Stat
September 2024
Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, U.S.A.
When analyzing data combined from multiple sources (e.g., hospitals, studies), the heterogeneity across different sources must be accounted for.
View Article and Find Full Text PDFBiometrics
July 2024
Department of Biostatistics, University of Washington, Seattle, WA 98195, United States.
In randomized controlled trials, adjusting for baseline covariates is commonly used to improve the precision of treatment effect estimation. However, covariates often have missing values. Recently, Zhao and Ding studied two simple strategies, the single imputation method and missingness-indicator method (MIM), to handle missing covariates and showed that both methods can provide an efficiency gain compared to not adjusting for covariates.
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