Air Pollution, Stress and Asthma Morbidity Risk: Role of Biological and Geospatial Markers

空气污染、压力和哮喘发病风险：生物和地理空间标记的作用

• 批准号: 10615633
• 负责人: Marissa Hauptman
• 金额: $ 19.72万
• 依托单位: BOSTON CHILDREN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10615633
• 关键词: Active Learning; Address; Adverse effects; Air Pollutants; Air Pollution; Area; Aromatic Polycyclic Hydrocarbons; Asthma; Bioinformatics; Biological; Biological Markers; Biometry; Boston; Caring; Characteristics; Child; Childhood; Childhood Asthma; Chronic; Chronic Disease; Clinical; Clinical Medicine; Clinical Research; Computerized Medical Record; Dangerousness; Data; Data Sources; Development Plans; Disease; Electronic Health Record; Environment; Environmental Air Pollutants; Environmental Epidemiology; Environmental Exposure; Environmental Health; Environmental Medicine; Environmental Pollutants; Environmental Risk Factor; Epidemiology; Exposure to; Family; Fellowship; Foundations; Funding; Future; Goals; Guidelines; Health; Health Personnel; Health Professional; Health Services Research; Housing; Immunologics; Individual; Institution; Institutional Review Boards; International; Intervention; Joints; Knowledge; Measures; Medical; Mentors; Mentorship; Methodology; Morbidity - disease rate; National Institute of Environmental Health Sciences; Outcomes Research; Patients; Pediatric Hospitals; Pediatrics; Physicians; Play; Pollution; Population; Positioning Attribute; Predisposition; Public Health Schools; Recommendation; Reporting; Research; Research Personnel; Research Project Grants; Residencies; Resources; Risk; Risk Factors; Role; Schools; Science; Scientist; Stress; Subgroup; Testing; Therapeutic; Therapeutic Intervention; Time; Training; Translational Research; United States National Institutes of Health; Work; asthma exacerbation; asthma model; asthmatic patient; biomedical informatics; career; career development; catalyst; clinical care; clinical center; clinical decision support; clinical decision-making; clinical implementation; clinical predictive model; clinical predictors; clinical risk; cohort; community-level factor; data repository; electronic medical record system; environmental intervention; environmental stressor; experience; health disparity; high risk; improved; inner city; innovation; instructor; knowledge integration; medical schools; meetings; novel; novel therapeutics; patient population; pediatric patients; pediatrician; pollutant; predictive tools; preventive intervention; programs; skills; social; social determinants; social stressor; tool; traffic-related air pollution; urinary

PROJECT SUMMARY / ABSTRACT Candidate: Dr. Marissa Hauptman is an Instructor of Pediatrics at Harvard Medical School (HMS), a pediatrician and environmental medical toxicologist, and Assistant Director of the Pediatric Environmental Health Center at Boston Children’s Hospital (BCH). At BCH, she completed her pediatrics residency and a joint pediatric environmental medicine and health services research fellowship. Building on her early work, her proposed career development plan focuses on 2 areas of career development—geospatial and biomarker environmental exposure science, clinical biomedical informatics—that will add to her research toolkit, increase the rigor of her work, and enhance her ability to develop, evaluate, and integrate environmental exposure science and epidemiology into clinical medicine. She will gain these skills through coursework, experiential learning, mentorship, and participation in seminars and national and international meetings. Environment: Dr. Hauptman is supported by extensive research, professional, and academic resources at BCH, HMS, and Harvard T.H. Chan School of Public Health, including the BCH Institutional Centers for Clinical and Translational Research, Harvard-Chan NIEHS Center on Environmental Health, and the Harvard Catalyst Program. Her committed team of mentors and advisors include national experts in geospatial, air pollution and biomarker environmental exposure science and epidemiology, biostatistics/bioinformatics and clinical prediction methodology. Research: Despite increasing evidence of its adverse effects, air pollution has not been effectively addressed by healthcare providers in clinical medicine. Further knowledge is clearly needed, as elucidating robust environmental air pollutant biomarkers and readily available geospatial data as well as underlying mechanisms may lead to new therapeutic options and strategies for clinicians to better address a patient’s environment at the bedside. Dr. Hauptman proposes to build on prior work to rigorously evaluate and develop—through geospatial and biomarker environmental exposure science, epidemiology, and biomedical informatics—a feasible innovative Asthma Integrated Risk (AIR) Clinical Prediction model that relies on readily available data through patient report, the electronic medical record system, public available data sources and biomarkers that can assist clinicians in predicting high risk pediatric patients with asthma and potentially tailoring environmental and therapeutic interventions. At the end of this project, Dr. Hauptman will be well- positioned to apply for an R01 to further test whether implementation of this clinical decision support intervention improves asthma morbidity by more comprehensively identifying and addressing environmental air pollutants in children with chronic health conditions. The successful completion of this project will position Dr. Hauptman for the next stage of her career as an independent investigator addressing environmental exposures in clinical medicine.

项目摘要/摘要 候选人：Marissa Hauptman博士是哈佛医学院(HMS)的儿科学讲师 儿科医生和环境医学毒理学家，儿科环境科助理主任 波士顿儿童医院(BCH)健康中心。在BCH，她完成了她的儿科住院医生和一个联合 儿科环境医学和卫生服务研究奖学金。在她早期工作的基础上，她 拟议的职业发展计划侧重于职业发展的两个领域--地理空间和生物标志物 环境暴露科学，临床生物医学信息学-这将增加她的研究工具包，增加 她工作的严谨性，并增强她开发、评估和整合环境暴露的能力 将科学和流行病学转化为临床医学。她将通过课程学习获得这些技能，经验 学习、指导和参与研讨会、国家和国际会议。环境：Dr。 Hauptman得到了BCH、HMS和 哈佛大学陈天鸿公共卫生学院，包括波士顿医院临床和医疗机构中心 翻译研究、哈佛-陈NIEHS环境健康中心和哈佛大学催化剂 程序。她忠诚的导师和顾问团队包括地理空间、空气污染和 生物标记物环境暴露科学和流行病学、生物统计学/生物信息学和临床 预测方法。研究：尽管越来越多的证据表明空气污染的不利影响，但它并没有 已得到临床医疗保健提供者的有效解决。显然还需要更多的知识， 作为阐明稳健的环境空气污染物生物标记物和现成的地理空间数据以及 潜在的机制可能会为临床医生带来新的治疗选择和策略，以更好地解决 病人在床边的环境。豪普特曼博士建议在先前工作的基础上，严格评估和 通过地理空间和生物标志物开发环境暴露科学、流行病学和生物医学 信息学-一种可行的创新哮喘综合风险(AIR)临床预测模型，易于依赖 通过患者报告、电子病历系统、公共可用数据来源和 可以帮助临床医生预测患有哮喘和潜在哮喘的高危儿童患者的生物标志物 量身定制环境和治疗干预措施。在这个项目结束时，豪普特曼博士会很好地- 准备申请R01，以进一步测试此临床决策支持的实施 干预通过更全面地识别和解决环境空气问题来改善哮喘发病率 患有慢性疾病的儿童体内的污染物。该项目的成功完成将使Dr。 豪普特曼职业生涯的下一阶段，作为一名解决环境暴露问题的独立调查员 在临床医学上。