An evaluation of a distributed medical device safety surveillance system: the DELTA network study

对分布式医疗器械安全监测系统进行评估:DELTA网络研究

阅读:1

Abstract

BACKGROUND: Post-market medical product safety surveillance is a complex task requiring standardized data collection, prompt adverse event reporting mechanisms and appropriate methodologies to identify low frequency safety threats and risk communication. PURPOSE: To review the design of the DELTA (Data Extraction and Longitudinal Trend Analysis) network study of the medical device safety surveillance. METHODS: This is a multicenter prospective observational study designed to evaluate the safety of new cardiovascular devices used during percutaneous coronary intervention (PCI) performed through continuous analysis of the routinely collected American College of Cardiology-National Cardiovascular Data Registry (ACC-NCDR) data elements. The primary endpoint of the study is detection of adverse event rates specific to several classes of new medical devices, including drug eluting coronary stents, embolic protection devices, and vascular closure devices in patients undergoing PCI. Secondary endpoints include the time-savings between the DELTA network detection of a true device safety alert and the time taken to detect the same outcome using conventional retrospective data analysis, overall sensitivity, specificity, positive predictive value and negative predictive value of the DELTA network surveillance system. RESULTS: The details of the study are described including system design, eligibility criteria, methods and components of data collection, data security and statistical methods. In addition, the methods of adjudication and verification following an adverse event alert, overall study outcomes, end points, limitations and potential advantages are discussed. CONCLUSION: This report describes the first multicenter prospective study of a computerized safety surveillance system to monitor and evaluate the safety of new cardiovascular devices.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。