Mentoring patient-oriented researchers in pediatric diarrhea

指导以患者为中心的小儿腹泻研究人员

基本信息

批准号：
10591728
负责人：
Daniel Ted Leung
金额：
$ 17.19万
依托单位：
UNIVERSITY OF UTAH
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-05-11 至 2028-04-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10591728
关键词：
Address Advanced Development Antibiotics Area Award Bangladesh Big Data Methods Bioinformatics Biological Markers Biometry Cause of Death Cessation of life Child Childhood Cholera Clinical Clinical Management Collaborations Communicable Diseases Complement Country Data Data Science Data Sources Detection Diagnosis Diagnostic Diagnostic tests Diarrhea Enrollment Epidemiology Etiology Foundations Frequencies Funding Future Goals Immunology Income Individual Infection Infrastructure Knowledge Mentors Mentorship Methods Microbiology Morbidity - disease rate Pathogen detection Physicians Planet Earth Population Probability Prognosis Public Health Qualitative Methods Research Research Design Research Personnel Resource-limited setting Role Scientist Serology Statistical Methods Testing Time Training Triage United States National Institutes of Health Universities Utah Viral Work antimicrobial biomarker discovery biomarker identification candidate identification candidate marker care seeking clinical care clinical decision support clinical decision-making clinical predictive model clinical predictors cohort cost diagnostic panel diarrheal disease enteric infection epidemiologic data experience improved low and middle-income countries metabolomics microbial molecular diagnostics pathogen patient oriented patient oriented research point of care predictive tools programs remote sensing serosurveillance spatial integration statistics support tools tool transcriptomics

项目摘要

Project Summary Diarrheal illness is the second most common cause of non-neonatal death among young children worldwide, and is a major cause of morbidity. Current etiologic diagnosis of diarrhea relies on microbial detection, and decisions for antibiotics commonly empiric. However, the majority of cases of diarrhea do not benefit from antibiotic use, and testing for all potential pathogens is neither financially nor logistically feasible. Thus, methods to improve the clinical management of pediatric diarrheal illness, including strategies for antimicrobial and diagnostic stewardship, are needed. Clinical prediction rules are potential tools to address this need, and in this K24 application, our overall goal is to explore strategies to improve clinical decision-making for diarrhea management, through use of spatial-temporal data and biomarkers. Dr. Leung, the PI, is a physician-scientist with training in clinical infectious diseases, immunology, microbiology, and epidemiology, with a focus on enteric infections, especially those that cause diarrheal illness in children in limited-resource settings. He has mentored over 40 patient-oriented researchers (PORs) since the start of his independent research program in 2014; additionally, he has co-mentored numerous PORs in collaboration with scientists and clinicians working in low- and middle-income countries. Leveraging infrastructure already in place from three ongoing NIH-funded awards (R01AI130378, R01AI135114, R01AI135115), as well as Gates Foundation-funded studies, he proposes to augment his current POR by addressing the following aims: 1) To examine the use of spatial- temporal data for individual-level clinical prediction of pediatric diarrhea, where the use of A) serosurveillance, B) molecular diagnostic, and C) earth observation-derived data will be explored, and 2) To identify clinical use- cases, and potential candidates, of fecal biomarkers that complement clinical decision support tools for management of pediatric diarrhea, using both qualitative methods to examine end-user perspectives and identify use-cases, and metabolomics and transcriptomics methods to identify candidate biomarkers. To accomplish these aims, he has established a co-mentoring team of experienced investigators with diverse expertise in statistical methods, biomarker discovery, and mentoring of POR investigators. This award will provide protected time for Dr. Leung to improve and increase his mentoring capacity of POR trainees, expand his expertise and experience in bioinformatics, and generate data for future projects to improve the management and knowledge of pediatric diarrheal infections.

项目概要腹泻病是全球幼儿非新生儿死亡的第二大常见原因，并且是发病的一个主要原因。目前腹泻的病因诊断依赖于微生物检测，并且抗生素的决定通常是经验性的。然而，大多数腹泻病例并没有受益于使用抗生素以及对所有潜在病原体进行检测在经济上和后勤上都不可行。因此，改善小儿腹泻疾病临床管理的方法，包括抗菌策略和诊断管理，是必要的。临床预测规则是满足这一需求的潜在工具，并且在此 K24 应用中，我们的总体目标是探索改善腹泻临床决策的策略通过使用时空数据和生物标记物进行管理。首席研究员梁博士是一位医学科学家接受临床传染病、免疫学、微生物学和流行病学方面的培训，重点是肠道感染，尤其是那些在资源有限的环境中导致儿童腹泻的感染。他有自他的独立研究项目开始以来，指导了 40 多名以患者为中心的研究人员 (POR) 2014年；此外，他还与从事该领域工作的科学家和临床医生合作指导了许多 POR。在低收入和中等收入国家。利用 NIH 资助的三个正在进行的项目已经到位的基础设施奖项（R01AI130378、R01AI135114、R01AI135115）以及盖茨基金会资助的研究，他建议通过解决以下目标来增强他当前的 POR：1）检查空间的使用用于小儿腹泻个体水平临床预测的时间数据，其中使用 A) 血清监测， B) 分子诊断，C) 将探索地球观测数据，以及 2) 确定临床用途- 粪便生物标志物的病例和潜在候选者补充了临床决策支持工具儿科腹泻的管理，使用定性方法来检查最终用户的观点和确定用例以及代谢组学和转录组学方法来确定候选生物标志物。到为了实现这些目标，他建立了一个由经验丰富的研究人员组成的共同指导团队统计方法、生物标志物发现和 POR 研究人员指导方面的专业知识。该奖项将为梁博士提供受保护的时间，以改善和提高他对 POR 学员的指导能力，扩大他在生物信息学方面的专业知识和经验，并为未来的项目生成数据以改进小儿腹泻感染的管理和知识。