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: 10216007
• 负责人: Marissa Hauptman
• 金额: $ 19.71万
• 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/10216007
• 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; Communities; 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; Institutional Review Boards; International; Intervention; Joints; Knowledge; Lead; 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; Reporting; Research; Research Personnel; Research Project Grants; Residencies; Resources; Risk; Risk Factors; Role; Schools; Science; Scientist; Stress; Subgroup; System; Testing; Therapeutic; Therapeutic Intervention; Time; Training; Translational Research; United States National Institutes of Health; Work; asthma model; asthmatic patient; biomedical informatics; career; career development; catalyst; clinical care; clinical center; clinical decision support; clinical decision-making; clinical implementation; clinical risk; cohort; data repository; environmental intervention; environmental stressor; experience; health disparity; high risk; improved; inner city; innovation; instructor; medical schools; meetings; novel; novel therapeutics; patient population; pediatric patients; pediatrician; pollutant; predictive modeling; 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.

项目总结/摘要 候选人：Marissa Hauptman博士是哈佛医学院（HMS）的儿科讲师， 儿科医生和环境医学毒理学家，儿科环境助理主任 波士顿儿童医院（Boston Children's Hospital，BCH）在BCH，她完成了儿科住院医师和联合 儿科环境医学和卫生服务研究奖学金。基于她早期的工作，她 拟议职业发展计划侧重于2个职业发展领域-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 她的工作的严谨性，并提高了她的能力，发展，评估和整合环境暴露 将科学和流行病学引入临床医学。她将获得这些技能，通过课程，经验 学习、指导和参加研讨会及国家和国际会议。环境：博士 豪普特曼是支持广泛的研究，专业和学术资源在BCH，HMS， 哈佛T. H. Chan公共卫生学院，包括BCH临床和 转化研究，哈佛-陈NIEHS环境健康中心和哈佛催化剂 程序.她忠诚的导师和顾问团队包括地理空间，空气污染和 生物标志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其不利影响，空气污染并没有 医疗保健提供者在临床医学中有效地解决了这一问题。显然需要更多的知识， 阐明了强有力的环境空气污染物生物标志物和现成的地理空间数据， 潜在的机制可能会导致新的治疗选择和策略，为临床医生更好地解决 病人的床旁环境。豪普特曼博士建议在之前工作的基础上进行严格评估， 通过地理空间和生物标志物环境暴露科学、流行病学和生物医学 信息学-一个可行的创新哮喘综合风险（AIR）临床预测模型， 通过患者报告、电子病历系统、公共可用数据源和 生物标志物可以帮助临床医生预测高风险儿童哮喘患者， 定制环境和治疗干预措施。在这个项目结束时，豪普特曼博士将很好- 定位为申请R 01，以进一步测试该临床决策支持的实施 通过更全面地识别和解决环境空气问题，干预措施可改善哮喘发病率 慢性健康状况儿童的污染物。该项目的成功完成将使Dr. Hauptman作为一名独立调查员解决环境暴露问题， 在临床医学中。