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J Orthop Trauma. 2021 Jan 1;35(1):e37. doi: 10.1097/BOT.0000000000001948.
2
Automated surveillance to detect postprocedure safety signals of approved cardiovascular devices.自动化监测以发现已批准心血管器械的术后安全性信号。
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The new Sentinel Network--improving the evidence of medical-product safety.新型哨点网络——提升医疗产品安全性证据
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Some methods of propensity-score matching had superior performance to others: results of an empirical investigation and Monte Carlo simulations.一些倾向得分匹配方法的性能优于其他方法:实证研究与蒙特卡罗模拟结果
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Validation of an automated safety surveillance system with prospective, randomized trial data.利用前瞻性随机试验数据对自动化安全监测系统进行验证。
Med Decis Making. 2009 Mar-Apr;29(2):247-56. doi: 10.1177/0272989X08327110. Epub 2008 Nov 17.
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Rare adverse event monitoring of medical devices with the use of an automated surveillance tool.使用自动化监测工具对医疗器械进行罕见不良事件监测。
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Am Heart J. 2008 Jan;155(1):114-20. doi: 10.1016/j.ahj.2007.08.022. Epub 2007 Oct 17.
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A propensity analysis of the risk of vascular complications after cardiac catheterization procedures with the use of vascular closure devices.使用血管闭合装置的心脏导管插入术血管并发症风险的倾向分析。
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Unanswered questions--drug-eluting stents and the risk of late thrombosis.未解决的问题——药物洗脱支架与晚期血栓形成风险
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Recalls and safety alerts affecting automated external defibrillators.影响自动体外除颤器的召回和安全警报。
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分布式医疗器械安全监测系统评价:DELTA 网络研究。

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

机构信息

Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

出版信息

Contemp Clin Trials. 2011 May;32(3):309-17. doi: 10.1016/j.cct.2011.02.001. Epub 2011 Feb 26.

DOI:10.1016/j.cct.2011.02.001
PMID:21356331
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3070041/
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.

摘要

背景

上市后医疗器械安全性监测是一项复杂的任务,需要标准化的数据收集、及时的不良事件报告机制和适当的方法来识别低频安全威胁和风险沟通。

目的

回顾 DELTA(数据提取和纵向趋势分析)网络医疗器械安全性监测研究的设计。

方法

这是一项多中心前瞻性观察研究,旨在通过对美国心脏病学会-国家心血管数据注册中心(ACC-NCDR)常规收集的数据元素进行连续分析,评估用于经皮冠状动脉介入治疗(PCI)的新型心血管器械的安全性。该研究的主要终点是检测特定于几类新型医疗器械的不良事件发生率,包括药物洗脱冠状动脉支架、栓塞保护装置和血管闭合装置在接受 PCI 的患者中的应用。次要终点包括 DELTA 网络检测真实设备安全警报与使用传统回顾性数据分析检测相同结果之间的时间节省,DELTA 网络监测系统的整体敏感性、特异性、阳性预测值和阴性预测值。

结果

详细描述了研究的细节,包括系统设计、入选标准、数据收集的方法和组件、数据安全性和统计方法。此外,还讨论了不良事件警报后的裁决和验证方法、总体研究结果、终点、局限性和潜在优势。

结论

本报告描述了第一个用于监测和评估新型心血管器械安全性的计算机化安全性监测系统的多中心前瞻性研究。