Using large Clinical Data bases to assess the association between patient factors, medication usage and patient outcomes

使用大型临床数据库来评估患者因素、药物使用和患者结果之间的关联

• 批准号: 8943230
• 负责人: Clement McDonald
• 金额: $ 13.53万
• 依托单位: NATIONAL LIBRARY OF MEDICINE
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8943230
• 关键词: Admission activity; Alzheimer' s Disease; Area; Big Data; Clinical; Clinical Data; Code; Data; Databases; Diagnosis; District of Columbia; Epidemiology; Event; Health; Immunization; Influenza; Intensive Care; Manuals; Outcome; Patients; Pharmaceutical Preparations; Phase; Pneumonia; Publishing; Recording of previous events; Sampling; Simvastatin; Source; Time; United States Centers for Medicare and Medicaid Services; experience; influenza virus vaccine; metropolitan; mortality; obesity risk

With the additional databases we are obtaining experience with the use of big data to answer useful epidemiologic and clinical questions and studying the relationship between the time adjusted usage of medications that effect the QT interval and the occupancies of arrhythmic events (as evidenced, by diagnoses codes) as compared to non- QT prolonging drugs, and the association between influenza /pneumonia events and the timing of influenza vaccines, and the association between Simvastatin use and Dementia/Alzheimer.

通过额外的数据库，我们正在获得使用大数据来回答有用的流行病学和临床问题的经验，并研究影响 QT 间期的药物的时间调整使用与心律失常事件发生率之间的关系（如诊断代码所证明的） ）与非 QT 延长药物相比，以及流感/肺炎事件与流感疫苗接种时机之间的关联，以及辛伐他汀使用与痴呆/阿尔茨海默病之间的关联。