Racial/Ethnic Disparities in Heart Failure: A Cross Cohort Collaboration

心力衰竭的种族/民族差异：跨队列合作

基本信息

批准号：
10608097
负责人：
NORRINA Bai ALLEN
金额：
$ 67.95万
依托单位：
KENT COUNTY MEMORIAL HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-04-01 至 2025-03-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10608097
关键词：
Accounting Affect African American population Age American Biological Markers Cardiac Output Caucasians Classification Clinical Collaborations Complex Data Data Collection Data Pooling Diagnosis Disparity EFRAC Elderly Epidemiology Ethnic Origin Evaluation Future Geographic Locations Goals Heart failure Heterogeneity Hospitalization Incidence Intervention Life Style Longitudinal cohort study Machine Learning Measures Mediation Medical Records Metabolic Modeling National Heart, Lung, and Blood Institute Outcome Persons Phenotype Physiological Prevention strategy Prevention trial Preventive measure Prognosis Prospective, cohort study Public Health Quality of life Race Reduce health disparities Risk Factors Symptoms Syndrome System Techniques Treatment Failure United States Woman adjudication clinical risk clinically relevant cohort comorbidity cost data harmonization disparity reduction epidemiology study ethnic disparity ethnic health disparity health disparity innovation insight large scale data learning network lifestyle factors men mortality multi-racial neural network personalized approach precision medicine preservation prospective racial disparity racial health disparity response sex sex disparity treatment trial unsupervised learning

项目摘要

ABSTRACT Heart failure (HF), and its subtypes defined by preserved (HFpEF), reduced (HFrEF) or mid-range (HFmrEF) ejection fraction are a major and growing public health problem. The long term goal of this project is to better understand the health disparities regarding HF and define effective preventive measures that may reduce these disparities. We propose to pool data from 10 large longitudinal cohort studies to examine race/ethnic and sex disparities in developing HF, its subtypes, and its prognosis. The harmonized data will include over 130,028 men and women with over 8975 similarly-adjudicated prospective HF outcomes, representing a wide spectrum of ages, race/ethnicities, and geographic regions of the United States. This cross-cohort collaboration will provide a unique opportunity to conduct a comprehensive evaluation of sex and racial/ethnic health disparities in HF. Causal mediation analysis techniques will be used to estimate the degree to which single and multi-factor lifestyle and clinical interventions could potentially reduce health disparities in HF. In our phenomapping aim, we will define unique clinically relevant phenotypes of HF based upon cohort data that is also commonly present in medical records for enhanced generalizability, including age, race/ethnicity, sex, clinical signs, symptoms, biomarkers, ejection fraction, physiologic measures, and co-morbidities; we will also evaluate HF phenotype associations with CVD and all-cause mortality.

抽象的心力衰竭（HF）及其亚型由保留（HFPEF）定义，减少（HFREF）或中端（HFMREF）射血分数是一个重大的公共卫生问题。该项目的长期目标是更好了解有关HF的健康差异，并定义有效的预防措施，以减少这些差异。我们建议从10个大型纵向队列研究中汇总数据以检查种族/种族以及发展HF，其亚型及其预后的性别差异。统一的数据将包括 130,028名超过8975的男性和女性类似地审判的预期HF成果，代表宽阔的HF 美国的年龄，种族/族裔和地理区域。这个横向船协作将为性别和种族/种族进行全面评估提供独特的机会 HF的健康差异。因果中介分析技术将用于估计单因素和多因素生活方式以及临床干预措施可能会减少HF的健康差异。在我们的现象目标，我们将根据同类数据来定义HF的独特临床相关表型医疗记录中通常也存在增强的普遍性，包括年龄，种族/种族，性别，性别，临床体征，症状，生物标志物，射血分数，生理指标和合并症；我们也会评估HF表型与CVD和全因死亡率的关联。