A Computational Biomechanical Airway Model for Obese Children at Risk for OSAS

针对患有 OSAS 风险的肥胖儿童的计算生物力学气道模型

基本信息

批准号：
9327032
负责人：
Raanan Arens
金额：
$ 75.79万
依托单位：
ALBERT EINSTEIN COLLEGE OF MEDICINE, INC
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-08-15 至 2021-04-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9327032
关键词：
17 year old Anatomy Architecture Area Arousal Biomechanics Body Weight Changes Body Weight decreased Body mass index Breathing Cardiovascular system Characteristics Child Childhood Clinical Computer Simulation Continuous Positive Airway Pressure Development Diagnosis Dilator Disease Drops Epidemic Goals High Prevalence Image Individual Intercept Intervention Liquid substance Machine Learning Magnetic Resonance Imaging Maps Measurement Measures Mechanics Medical Metabolic Minority Modeling Motion Muscle Nasopharynx Neurocognitive Obesity Object Attachment Obstructive Sleep Apnea Oropharyngeal Outcome Performance Population Prevalence Property ROC Curve Residual state Risk Severities Shapes Sleep Structure Techniques Three-Dimensional Image Time Tissues Tonsil Treatment outcome analytical tool awake base biomechanical model high risk imaging biomarker imaging modality improved outcome insight longitudinal design novel obesity in children pharyngeal critical pressure pressure respiratory response standard care tool treatment response

项目摘要

ABSTRACT Childhood obesity remains epidemic and is most prevalent in minorities. Obese children have a higher risk for developing obstructive sleep apnea syndrome (OSAS) with an estimated prevalence of 50%, compared to the general pediatric population with a known prevalence of 2-4%. OSAS carries with it significant neurocognitive, cardiovascular, and metabolic derangements. Additionally, obese children do not respond well to treatment such as adenotonsillectomy or weight loss with residual OSAS exceeding 50%. Despite progress that has been made in recent years to understand the anatomical and functional attributes of OSAS in children, the precise mechanism leading to the disorder remains unknown in the majority of obese children, hindering the development of efficacious treatments. Thus, the overarching goal of this study is to implement state-of-the-art dynamic magnetic resonance imaging (MRI) and image analytics using computational fluid dynamics (CFD) and biomechanical modeling, to establish the biomechanical basis that leads to OSAS or protects from it, in naïve and treated children with obesity.

抽象的儿童肥胖仍然流行，在少数群体中最普遍。肥胖儿童的风险更高与估计患病率估计为50％的阻塞性睡眠呼吸暂停综合征（OSA）一般的小儿人群，已知患病率为2-4％。 OSA具有重要的神经认知，心血管和代谢发展。此外，肥胖的孩子对治疗的反应不佳例如腺骨切除术或负重OSA超过50％的体重减轻。尽管进展有近年来是为了了解儿童OSA的解剖学和功能属性，在大多数肥胖儿童中，导致这种疾病的精确机制仍然未知，阻碍了开发有效的治疗方法。这是这项研究的总体目标是实施最先进的目标使用计算流体动力学（CFD）的动态磁共振成像（MRI）和图像分析和生物力学建模，以建立导致OSA或保护它的生物力学基础肥胖的幼稚和治疗儿童。