Clinical and Translational Science Award

临床和转化科学奖

• 批准号: 10183901
• 负责人: BRUCE Neil CRONSTEIN
• 金额: $ 76.85万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-18 至 2021-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10183901
• 关键词: 2019-nCoV; Affect; Area; COVID-19; COVID-19 pandemic; Categories; Cessation of life; Childhood; Clinical; Clinical Research; Clinical Sciences; Clinical Trials; Clinical and Translational Science Awards; Code; Communities; Coronavirus; Critical Care; Critical Illness; Data; Data Science; Databases; Development; Diagnosis; Disease; Electronic Health Record; Epidemic; Event; Fatal Outcome; Health; Health system; Healthcare; Hospitalization; Immune response; Individual; Infection; Inflammatory; Informatics; Institution; Ischemic Stroke; Knowledge; Laboratories; Link; Longevity; Marshal; Medical; Natural Language Processing; Nature; New York; New York City; Outcome; Patients; Pharmaceutical Preparations; Pharmacology; Phenotype; Pneumonia; Procedures; Records; Research Personnel; Resources; Respiratory Failure; Risk; Severities; Site; Subgroup; Syndrome; Testing; Text; Therapeutic; Thrombosis; Time; Tissues; Underrepresented Groups; United States; Upper respiratory tract; Venous; Viral Pneumonia; Virus; biobank; central database; cohort; coronavirus disease; data sharing; demographics; design; ethnic minority population; health data; improved; interest; medical specialties; meetings; member; pandemic disease; prevent; racial minority; response; structured data; symptomatic improvement; unstructured data; venous thromboembolism

PROJECT SUMMARY: COMBATCOVID The coronavirus (COVID-19) pandemic has affected every corner of the globe and has redefined healthcare throughout the United States. COVID-19 cases in the New York City tri-state area have reached an extraordinarily high number and have quickly become the epicenter region of the crisis in the United States. In New York State alone, there are over 372,000 confirmed cases as of June 1, 2020. NYU Langone Health (NYULH) has been particularly hard hit, with more than 8,100 COVID-19 hospitalizations to date. In response, the entire clinical research community is marshalling resources in an attempt to improve our understanding of how the virus spreads, how it infects various tissues in the body, which patients are more susceptible to infection and fatal outcomes, which therapeutics improve symptoms and survival, whether the immune response confers long-lasting protection against reinfection, and many other crucially important questions. The complexity of the development of this disease and unpredictability of progression into severity, as well as the variety of phenotypic outcomes observed during and post COVID-19, pose major challenges in understanding, predicting, preventing, managing and treating this disease and its sequelae. Answers to these challenges can only be achieved through the comprehensive analysis of a significantly high number of COVID cases. Given how recent and unknown this disease is, and its inherent epidemic nature, there is a limited number of cases at individual medical institutions. The limitation of number of cases per institution becomes even more relevant when isolating subpopulations with specific health conditions and across the lifespan. This proposed study will aim to overcome the above-mentioned challenges by supporting the formation of a consortium comprising multiple medical institutions in the U.S.: COMBATCOVID (Consortium for Multisite Biomedical Analytics and Trials on COVID-19). COMBATCOVID will bring together electronic health records (EHR) data from multiple participating institutions into a shared centralized database. As part of the COMBATCOVID effort, biorepository data of COVID-19 patients collected by some of the participating institutions will also be shared and linked to the respective EHR data. The COMBATCOVID consortium will be responsible for transferring EHR data pertaining to participating institutions interested in contributing EHR data to the N3C database.

项目摘要：COMBATCOVID 冠状病毒（Covid-19）大流行已经影响了全球的每个角落，并重新定义了医疗保健 整个美国。纽约市三州地区的Covid-19案件已达到 数量非常高，并很快成为美国危机的中心地区。在 截至2020年6月1日，仅纽约州就有372,000多个已确认的案件。 （NYULH）受到了尤为严重的打击，迄今为止，有8,100多个Covid-19。 作为回应，整个临床研究社区都在编组资源，以改善我们的 了解病毒如何扩散，如何感染体内各种组织，患者更多 容易受到感染和致命结局的影响，这种治疗剂会改善症状和生存 免疫反应赋予了对再感染的长期保护，许多其他至关重要的 问题。 这种疾病发展的复杂性以及进展为严重程度的不可预测性以及 在199年期间和之后观察到的各种表型结局的种类构成了构成主要挑战 理解，预测，预防，管理和治疗该疾病及其后遗症。这些答案 只有通过对大量的COVID进行全面分析才能实现挑战 案例。鉴于这种疾病的近期和未知及其固有的流行本质有限 个别医疗机构的案件。每个机构案件数量的限制变得更加 在隔离特定健康状况和整个寿命的亚群时相关。 这项拟议的研究旨在通过支持形成的形成来克服上述挑战 在美国的多个医疗机构组成的财团：COMBATCOVID（多现场财团 COVID-19）的生物医学分析和试验。 CombatCovid将从多个参与机构中汇总出电子健康记录（EHR）数据 进入共享的集中数据库。作为CombatCovid努力的一部分，Covid-19的生物攻击数据 某些参与机构收集的患者也将共享并链接到各自的EHR 数据。 COMBATCOVID联盟将负责传输与参与有关的EHR数据 有兴趣向N3C数据库贡献EHR数据的机构。