Indo-US Collaborative Stroke Registry and Infrastructure Development

印度-美国合作卒中登记和基础设施开发

• 批准号: 8337854
• 负责人: ANEESH B SINGHAL
• 金额: $ 16.89万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-30 至 2015-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8337854
• 关键词: Address; Biological; Blood specimen; Caliber; Cause of Death; Classification; Clinical; Clinical Trials; Collaborations; Commit; Comparative Study; Country; Data; Data Analyses; Data Element; Data Storage and Retrieval; Databases; Developing Countries; Development; Economic Burden; Ensure; Foundations; Funding; Future; General Hospitals; Genetic; Goals; Health Sciences; Hospitals; Image; Income; Inpatients; Institutes; International; Internet; Ischemic Stroke; Laboratories; Location; Logic; Low income; Magnetic Resonance Imaging; Massachusetts; Medical; Methodology; Methods; Modeling; National Institute of Neurological Disorders and Stroke; Online Systems; Outcome; Patients; Phenotype; Play; Postdoctoral Fellow; Registries; Research; Research Infrastructure; Research Personnel; Resources; Risk Factors; Running; Science; Site; Stroke; System; Therapeutic; Training; Training and Infrastructure; Translational Research; United States National Institutes of Health; Vision; acute stroke; base; comparative; data acquisition; data sharing; design; disability; experience; genetic epidemiology; infrastructure development; insight; meetings; population based; programs; repository; socioeconomics; symposium; tool; young adult

DESCRIPTION (provided by applicant): The current proposal seeks to develop an infrastructure for resource, tool and data sharing in the field of stroke in India, modeled after te existing NIH funded stroke infrastructure in USA. Our goal is to lay the foundation for Indo-U.S. research collaborations for comparative studies on stroke risk factors, outcomes, future genetic and imaging studies, and stroke clinical trials. Over the past decade the U.S. NIH has recognized the importance of pooling advanced clinical, imaging, laboratory and genetic data from multiple centers in order to address major questions in the field of stroke. NIH funding has helped to create several large stroke databases that have stimulated collaborative research. Examples include the Stroke Genetics Network (SiGN), the Stroke Imaging Repository (STIR), and the Specialized Program of Translational Research in Acute Stroke (SPOTRIAS). The Massachusetts General Hospital (MGH, the U.S. site of this proposal), has been contributing data to each of these registries and networks. In fact, the PI and co-investigators on this proposal have played key roles in their development. We have gained experience in critical database framework issues such as definitions, queries and logic checks, data storage/retrieval, and have developed tools for stroke phenotypic, genetic and imaging data analysis, and stroke subtyping. The advantages of collaborative databases have also been recognized in India. Our Indian Co-PIs from 5 high-volume geographically diverse centers have created local registries and contributed data towards national and international efforts, e.g. the hospital-based stroke registry at SreeChitra Institute Kerala, the population- based Ludhiana stroke registry, and the ICMR and SITS-SEARS registries. Currently, these databases lack multi-ethnic data, and are limited by issues such as varying data definitions and non-standardized methodology. These shortcomings, and the potential to uncover new biological insights, were highlighted in our recent study comparing young stroke at MGH versus two Indian sites (AIIMS, Nizam). We now propose a comprehensive Indian stroke registry, with data definitions and data fields consistent with existing NIH registries (e.g. SiGN). Training a group of research associates and fellows on methods of data acquisition and entry is a key component and will allow this initial effort to be sustained. The user-driven web-based platform will allow research teams to share and compare multi-ethnic data, and accelerate the pace of stroke clinical, genetic and imaging research around the world.

描述（由申请人提供）：当前的提案旨在开发印度中风领域的资源，工具和数据共享基础架构，以美国现有的NIH资助的中风基础设施为基础。我们的目标是为Indo-U.S奠定基础。关于中风风险因素，结果，未来遗传和成像研究以及中风临床试验的比较研究的研究合作。在过去的十年中，美国NIH认识到从多个中心汇集高级临床，成像，实验室和遗传数据的重要性，以解决中风领域的主要问题。 NIH资金有助于创建几个刺激协作研究的大型中风数据库。例子包括中风遗传学网络（符号），中风成像存储库（搅拌）和急性中风转化研究专业计划（Spotras）。马萨诸塞州综合医院（MGH，该提案的美国地点）一直向每个注册机构和网络贡献数据。实际上，该提案的PI和共同投资者在其发展中发挥了关键作用。我们在关键数据库框架问题上获得了经验，例如定义，查询和逻辑检查，数据存储/检索，并开发了用于中风表型，遗传和成像数据分析以及中风子类型的工具。在印度也认可了协作数据库的优势。我们来自5个高批量地理学中心的印度共同案例已经创建了当地的注册机构，并为国家和国际努力提供了数据，例如喀拉拉邦Sreechitra Institute的基于医院的中风注册中心，总部位于人口的Ludhiana中风注册表以及ICMR和SIS-SERS登记处。当前，这些数据库缺乏多种族数据，并且受到不同数据定义和非标准化方法等问题的限制。这些缺点以及发现新生物学见解的潜力在我们最近的研究中得到了强调，该研究比较了MGH与两个印度遗址（AIIMS，Nizam）的年轻中风。现在，我们提出了一个全面的印度中风注册表，其数据定义和数据字段与现有的NIH注册表一致（例如符号）。培训一组研究协会和研究员就数据获取和进入方法是一个关键组成部分，并将允许维持这一初步努力。基于用户的Web平台将允许研究团队共享和比较多种族数据，并加速世界各地的中风临床，遗传和成像研究的速度。