Integrating HIV Resistance Data into the CNICS Cohort

将 HIV 耐药性数据纳入 CNICS 队列

• 批准号: 7058411
• 负责人: JAMES S KAHN
• 金额: --
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-30 至 2007-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7058411
• 关键词: HIV infections; automated medical record system; clinical research; drug resistance; health science research support; human immunodeficiency virus; informatics; interdisciplinary collaboration

The primary goal of this project is to expand the research capabilities of the existing clinical research network, the CFAR Network of Integrated Clinic Systems (CNICS). This will be accomplished by developing technical and analytic tools to import HIV resistance data directly from clinical laboratories into the electronic medical record (EMR) at the network's clinical sites. At the clinical sites the data is used for clinical care and then transferred into the network's central data repository. The focus of this project is to extend and apply new technologies to an existing research network by developing standard for the automatic download of viral resistance data into EMRs, to organize the data for clinical decision making, to populate the research network's central data repository and utilize analytic strategies and statistical methodology to define the effect of cumulative HIV resistance on the pace of development on disease progression. The CNICS research network data system exists to receive, organize, store, retrieve and analyze securely transferred clinical data from electronic medical records at sites dedicated to HIV care and research. Many studies have evaluated antiretroviral treatment failure and the importance of HIV resistance, however the role of resistance in predicting the progression of HIV clinical disease has not been determined. In this application we focus on adding the new data elements of viral resistance to the CNICS research network

该项目的主要目标是扩大现有临床研究网络--CFAR综合临床系统网络(CNICs)的研究能力。这将通过开发技术和分析工具来实现，将艾滋病毒耐药性数据从临床实验室直接导入该网络临床站点的电子病历(EMR)。 在临床站点，数据用于临床护理，然后传输到网络的中央数据存储库。该项目的重点是通过开发将病毒耐药性数据自动下载到EMR中的标准来扩展和应用新技术到现有的研究网络，组织用于临床决策的数据，填充研究网络的中央数据库，并利用分析策略和统计方法来确定累积的艾滋病毒耐药性对发展速度对疾病进展的影响。CNICs研究网络数据系统的存在是为了接收、组织、存储、检索和分析从专门用于艾滋病毒护理和研究的站点的电子医疗记录安全传输的临床数据。许多研究已经评估了抗逆转录病毒治疗的失败和HIV耐药的重要性，但耐药在预测HIV临床疾病进展中的作用尚未确定。在本申请中，我们专注于将病毒耐药性的新数据元素添加到CNICs研究网络