Real-time Asthma and Air Pollution Project (Asthma APP)

项目3摘要(项目说明) 在南加州，每年有25%-50%的哮喘儿童出现持续数周的哮喘加重。 妮娅。值得注意的是，臭氧和颗粒物(PM)可能占支气管炎相关前疾病的70%。 具有里程碑意义的儿童健康研究(CHS)研究了污染社区的酸中毒问题。考虑到临床上 和哮喘加重造成的公共卫生负担，显然需要改进预防和临床 管理方法。洛杉矶棱镜中心将开发一种系统来促进科学研究 了解哮喘症状和加重情况，并提供及时、个性化的干预和 支持自我管理活动的治疗，促进依从性，并向患者提供积极反馈， 护理者、临床医生和研究人员。 在这个U54应用中，我们建议开发和测试一个集成的哮喘管理平台Bio- 儿童哮喘的医学实时健康评估(呼吸)。项目3的总体目标是 为综合呼吸平台开发、评估性能和测试现场协议；改进SCI-TERVICE-TRANSPESS 对哮喘恶化的全面了解；并使用实时数据开发风险预测模型 病情恶化的判定。为了达到这些目标，我们为这项应用提出了以下具体目标： 阳离子：1)评估呼吸平台在关键微环境中的现场性能，包括准确性 以及用于暴露评估的高分辨率空间和时间数据的精度、可靠性和有效性 哮喘结果和心理社会变量(例如，压力)；2)制定和测试现场方案，以便使用 呼吸8-12岁哮喘儿童的纵向研究，包括潜在的棱镜U01传感器； 3)评估哮喘儿童及其照顾者、临床医生和研究人员呼吸的可用性- ERS包括对协议和用户界面的迭代改进；4)增加对 哮喘恶化的上下文实时决定因素；以及5)通过以下方式增强风险预测模型 整合实时情景数据和分析，为个性化自我提供可行信息 管理和预防哮喘儿童的病情恶化。项目3的参与者将是 从加州大学洛杉矶分校儿童哮喘诊所招募。因此，项目3的工作与技术- 项目1和2的关键发展，以确保可用的端到端平台。我们预期的结果是一个良好的- 特色化和可操作的原型演示了呼吸，具有支持棱镜的巨大潜力 以及未来的儿科生物医学研究。

PROJECT 3 ABSTRACT (PROJECT DESCRIPTION) Asthma exacerbations lasting for weeks occur in 25-50% of children with asthma each year in Southern Califor- nia. Remarkably, ozone and particulate matter (PM) may account for as much as 70% of bronchitis-related ex- acerbations in the polluted communities studied in the landmark Children’s Health Study (CHS). Given the clinical and public health burden from asthma exacerbations, there is a clear need for improved prevention and clinical management approaches. The Los Angeles PRISMS Center will develop a system to advance the scientific understanding of asthma symptoms and exacerbations as well as deliver timely, personalized interventions and treatments to support self-management activities, promote adherence, and provide active feedback to patients, caregivers, clinicians, and researchers. In this U54 application, we propose to develop and test an integrated asthma management platform, the Bio- medical REAl-Time Health Evaluation for Pediatric Asthma (BREATHE). The broad objectives of Project 3 are to develop, assess performance, and test field protocols for the integrative BREATHE platform; to improve sci- entific understanding of asthma exacerbations; and to develop risk prediction models using real-time data on determinates of exacerbations. To meet these objectives, we propose the following specific aims for this appli- cation: 1) to evaluate field performance of the BREATHE platform in key microenvironments including accuracy and precision of highly resolved spatial and temporal data for exposure assessment, reliability and validity of asthma outcomes and psychosocial variables (e.g., stress); 2) to develop and test field protocols for use of BREATHE in longitudinal studies of 8-12 year old children with asthma, including potential PRISMS U01 sensors; 3) to assess usability of BREATHE for children with asthma and their caregivers, for clinicians, and for research- ers including iterative refinement of protocols and the user interfaces; 4) to increase scientific understanding of the contextual real-time determinants of asthma exacerbations; and 5) to enhance a risk prediction model by incorporating real-time contextual data and analytics to provide actionable information for personalized self- management and prevention of exacerbations among children with asthma. The participants for Project 3 will be recruited from the UCLA Pediatric Asthma Clinic. Efforts in Project 3 are thus closely coordinated with the tech- nical developments in Projects 1 & 2 to ensure a usable end-to-end platform. Our anticipated outcome is a well- characterized and operational prototype demonstrating BREATHE, with great potential for supporting PRISMS and future pediatric biomedical research.