Mentoring and Research to ClassifyAtrial Cardiomyopathy

心房心肌病分类的指导和研究

• 批准号: 10640951
• 负责人: Lin Yee Chen
• 金额: $ 12.66万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10640951
• 关键词: Acceleration; Address; Ancillary Study; Anticoagulants; Anticoagulation; Area; Atherosclerosis Risk in Communities; Atrial Fibrillation; Automobile Driving; Biochemical; Biological; Biometry; Cardiology; Cardiomyopathies; Cardiovascular system; Cessation of life; Classification; Classification Scheme; Clinical; Clinical Research; Clinical Trials; Cluster Analysis; Cohort Studies; Communities; Data; Data Analytics; Data Science; Dementia; Development; Doctor of Philosophy; Education; Electrocardiogram; Ensure; Epidemiologic Methods; Epidemiology; Fostering; Functional disorder; Funding; Future; Genomics; Grant; Heart Atrium; Heart failure; Heterogeneity; Ischemic Stroke; Knowledge; Learning; Left; Left Atrial Function; Machine Learning; Measures; Medicine; Mentors; Methods; Minnesota; Molecular Epidemiology; Monitor; Morbidity - disease rate; Multi-Ethnic Study of Atherosclerosis; Multiomic Data; Myocardial Infarction; National Heart, Lung, and Blood Institute; Oral; Outcome; Pathogenesis; Patient-Focused Outcomes; Patients; Pattern; Phenotype; Precision Medicine Initiative; Prevalence; Prevention; Procedures; Proteomics; Public Health; Public Health Schools; Reproducibility; Research; Research Personnel; Research Project Grants; Research Support; Resources; Risk; Risk Factors; Role; Science; Stroke prevention; Structure; TNFSF15 gene; Techniques; Testing; Time; Training; Training Programs; Two-Dimensional Echocardiography; United States National Institutes of Health; Universities; Visit; Work; adjudication; adverse outcome; aging population; aptamer; arterial stiffness; cardiovascular health; career; career development; clinical practice; clinically relevant; cohort; data integration; design; exome; genome wide association study; heart rate variability; heart rhythm; high risk population; improved; insight; mortality; next generation; patient oriented research; phenotypic data; physician-scientist training program; prevent; primary outcome; programs; recruit; skills; statistical learning; stroke risk; supportive environment; tool; unsupervised learning

This K24 grant will provide the PI, Dr. Lin Yee Chen, a midcareer NIH-funded patient-oriented research (POR) investigator, with the protected time and support needed to (1) accelerate his current trajectory in mentoring junior clinicians and investigators who are conducting POR in cardiovascular (CV) science, (2) acquire additional training in mentoring methods, machine learning, and omics science, (3) promote his current research that aims to define the mechanisms underlying the relationship of the abnormal atrial substrate—atrial cardiomyopathy—and atrial fibrillation (AF) to ischemic stroke and other CV outcomes. Trainees in his AF Clinical Research Group will be recruited from the NIH-funded T32 training programs in the University of Minnesota's Division of Cardiology, Division of Epidemiology, and Division of Biostatistics; Department of Medicine Physician Scientist Training Program; KL2 and TL1 Programs of the CTSI; and graduate programs (MS in Clinical Research, MPH, and PhD) in the School of Public Health. For his career development, Dr. Chen will hone his mentoring skills and learn new skills in cutting-edge areas (machine learning and omics science) through focused study, selected coursework, seminars, and guidance from senior collaborators with domain expertise. Finally, this grant will support a research project that is based on the Atherosclerosis Risk in Communities (ARIC) Study, which extends Dr. Chen’s ongoing work to elucidate the role of atrial cardiomyopathy in driving AF-related outcomes. The specific aims are: (1) Identify atrial cardiomyopathy subtypes by using machine learning approaches to analyze the extensive data at ARIC Visit 5 (2011-13): clinical, 2D-echocardiographic, heart rate variability, arterial stiffness, ECG, and multi-omics data, (2) Evaluate association of subtypes with ischemic stroke and other CV outcomes, and (3) Discover specific risk factors for subtypes by analyzing risk factor measures collected at Visits 1-4 (1987-98). Crucially, findings will be validated in 2 independent community-based cohorts: Cardiovascular Health Study (CHS) and Multi-Ethnic Study of Atherosclerosis (MESA). This project has significant impact: (1) This K24 grant will provide the PI with the protected time to enhance his current mentoring of trainees involved in POR. By assembling a team of senior collaborators that comprise experts in mentoring, data science, and molecular epidemiology, the PI provides an outstanding platform for his mentees to acquire cutting-edge skills in POR, (2) By resolving heterogeneity in atrial cardiomyopathy, the team will advance the NIH’s Precision Medicine initiative by personalizing current treatment for patients based on biological underpinnings, (3) The findings will lead to a clinically meaningful improvement in classification of stroke risk in patients with AF, which will improve patient outcomes, (4) By efficiently leveraging existing resources of deeply phenotyped NHLBI cohorts, this project will fill critical knowledge gaps in prevention and treatment, thus achieving a sustained and powerful impact on CV public health, clinical practice, and education of the next generation of researchers in POR.

这笔 K24 拨款将为 PI Lin Yee Chen 博士提供一项由 NIH 资助的职业中期患者导向研究 (POR) 调查员，拥有所需的受保护的时间和支持（1）加速他目前的指导轨迹 在心血管 (CV) 科学领域进行 POR 的初级临床医生和研究人员，(2) 获得 指导方法、机器学习和组学科学方面的额外培训，(3) 推广他当前的 旨在明确异常心房基质——心房之间关系的潜在机制的研究 心肌病——以及心房颤动（AF）、缺血性中风和其他心血管结局。 AF 的实习生 临床研究小组将从NIH资助的大学T32培训项目中招募 明尼苏达州心脏病学部、流行病学部和生物统计学部；系 医学医师科学家培训计划； CTSI的KL2和TL1计划；和研究生课程 公共卫生学院（临床研究硕士、公共卫生硕士和博士学位）。为了他的职业发展，博士。 陈将磨练他的指导技能并学习前沿领域（机器学习和组学）的新技能 科学）通过集中学习、精选课程、研讨会以及高级合作者的指导 领域的专业知识。最后，这笔赠款将支持一个基于动脉粥样硬化风险的研究项目 社区 (ARIC) 研究，该研究扩展了陈博士正在进行的工作，以阐明心房的作用 心肌病导致 AF 相关结果。具体目标是： (1) 识别心房心肌病 通过使用机器学习方法分析 ARIC 访问 5（2011-13）中的大量数据来确定子类型： 临床、2D 超声心动图、心率变异性、动脉僵硬度、心电图和多组学数据，(2) 评估 亚型与缺血性中风和其他心血管结果的关联，以及 (3) 发现特定的危险因素 通过分析第 1-4 次访问（1987-98 年）收集的风险因素测量值来确定亚型。至关重要的是，调查结果将是 在 2 个独立的基于社区的队列中得到验证：心血管健康研究 (CHS) 和多种族 动脉粥样硬化研究（MESA）。该项目具有重大影响： (1) 这项 K24 补助金将提供 PI 用受保护的时间来加强他目前对参与 POR 的学员的指导。通过组建一个团队 由指导、数据科学和分子流行病学专家组成的高级合作者，PI 为他的学员提供了一个获得 POR 尖端技能的出色平台，(2) 通过解决 鉴于心房心肌病的异质性，该团队将通过以下方式推进 NIH 的精准医学计划： 根据生物学基础对患者当前的治疗进行个性化，（3）研究结果将导致 AF 患者卒中风险分类的临床有意义的改进，这将改善患者 (4) 通过有效利用深度表型 NHLBI 队列的现有资源，该项目将 填补预防和治疗方面的关键知识空白，从而对疾病产生持续而强大的影响 CV 公共卫生、临床实践以及下一代 POR 研究人员的教育。

项目成果

Relationship Between High Blood Pressure, Atrial Cardiopathy, and Mortality in the General Population.

一般人群中高血压、心房性心脏病和死亡率之间的关系。

• DOI: 10.1093/ajh/hpac087
• 发表时间: 2023
• 期刊: American journal of hypertension
• 影响因子: 3.2
• 作者: ImtiazAhmad,Muhammad;Mendys,PhilM;Kelly,ScottP;Chen,LinY;Soliman,ElsayedZ
• 通讯作者: Soliman,ElsayedZ

Association of Right Ventricular Afterload With Atrial Fibrillation Risk in Older Adults: The Atherosclerosis Risk in Communities Study.

老年人右心室后负荷与心房颤动风险的关联：社区研究中的动脉粥样硬化风险。

• DOI: 10.1016/j.chest.2022.05.004
• 发表时间: 2022
• 期刊: Chest
• 影响因子: 9.6
• 作者: Parikh,RomilR;Norby,FayeL;Wang,Wendy;Thenappan,Thenappan;Prins,KurtW;Van'tHof,JeremyR;Lutsey,PamelaL;Solomon,ScottD;Shah,AmilM;Chen,LinYee
• 通讯作者: Chen,LinYee

Joint Association of Albuminuria and Left Ventricular Hypertrophy with Incident Heart Failure in High-Risk Adults with Hypertension: a SPRINT substudy.

高血压高危成人中蛋白尿和左心室肥厚与心力衰竭的联合关联：一项 SPRINT 子研究。

• DOI: 10.1101/2023.07.06.23292329
• 发表时间: 2023
• 期刊: medRxiv : the preprint server for health sciences
• 作者: Ahmad,MuhammadImtiaz;Kazibwe,Richard;Soliman,MaiZ;Singh,Sanjay;Chen,LinY;Soliman,ElsayedZ
• 通讯作者: Soliman,ElsayedZ

Joint Association of Albuminuria and Left Ventricular Hypertrophy With Incident Heart Failure in Adults at High Risk With Hypertension: A Systolic Blood Pressure Intervention Trial Substudy.

高血压高危成人中蛋白尿和左心室肥厚与心力衰竭的联合关联：收缩压干预试验亚组研究。

• DOI: 10.1016/j.amjcard.2023.09.048
• 发表时间: 2023
• 期刊: The American journal of cardiology
• 作者: Ahmad,MuhammadImtiaz;Kazibwe,Richard;Soliman,MaiZ;Singh,Sanjay;Chen,LinY;Soliman,ElsayedZ
• 通讯作者: Soliman,ElsayedZ