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首页> 外文期刊>JACC. Cardiovascular interventions >Quantifying the learning curve in the use of a novel vascular closure device: An analysis of the NCDR (national cardiovascular data registry) CathPCI registry
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Quantifying the learning curve in the use of a novel vascular closure device: An analysis of the NCDR (national cardiovascular data registry) CathPCI registry

机译:使用新型血管闭合装置量化学习曲线:NCDR(国家心血管数据注册中心)CathPCI注册中心的分析

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This study sought to quantify the learning curve for the safety and effectiveness of a newly introduced vascular closure device through evaluation of the NCDR (National Cardiovascular Data Registry) CathPCI clinical outcomes registry. The impact of learning on the clinical outcomes complicates the assessment of the safety and efficacy during the early experience with newly introduced medical devices. We performed a retrospective analysis of the relationship between cumulative institutional experience and clinical device success, defined as device deployment success and freedom from any vascular complications, for the StarClose vascular closure device (Abbott Vascular, Redwood City, California). Generalized estimating equation modeling was used to develop risk-adjusted clinical success predictions that were analyzed to quantify learning curve rates. A total of 107,710 procedures used at least 1 StarClose deployment, between January 1, 2006, and December 31, 2007, with overall clinical success increasing from 93% to 97% during the study period. The learning curve was triphasic, with an initial rapid learning phase, followed by a period of declining rates of success, followed finally by a recovery to a steady-state rate of improved device success. The rates of learning were influenced positively by diagnostic (vs. percutaneous coronary intervention) procedure use and teaching status and were affected inversely by annual institutional volume. An institutional-level learning curve for the initial national experience of StarClose was triphasic, likely indicating changes in patient selection and expansion of number of operators during the initial phases of device adoption. The rate of learning was influenced by several institutional factors, including overall procedural volume, utilization for percutaneous coronary intervention procedures, and teaching status.
机译:这项研究旨在通过评估NCDR(国家心血管数据注册中心)CathPCI临床结果注册中心来量化新引入的血管闭合装置的安全性和有效性的学习曲线。学习对临床结果的影响使新近引入的医疗设备在早期体验中对安全性和功效的评估变得复杂。我们对StarClose血管闭合器械(Abbott Vascular,加利福尼亚州红木市)的累积机构经验与临床器械成功之间的关系进行了回顾性分析,临床器械成功与临床器械的成功定义为器械部署成功和没有任何血管并发症。广义估计方程模型用于开发经过风险调整的临床成功预测,并对其进行分析以量化学习曲线率。在2006年1月1日至2007年12月31日期间,总共有107,710个过程至少使用了1次StarClose部署,在研究期间,总体临床成功率从93%增加到97%。学习曲线是三段式的,最初是快速学习阶段,其后是一段时间的成功率下降,最后是恢复到稳态状态,从而提高了设备​​的成功率。学习率受诊断(相对于经皮冠状动脉介入治疗)程序使用和教学状况的积极影响,而受年度机构数量的影响则相反。 StarClose最初的国家经验的机构级学习曲线是三级的,可能表明在设备采用的初始阶段,患者选择发生了变化,操作人员数量有所增加。学习率受几个制度因素的影响,包括总体手术量,经皮冠状动脉介入手术的使用率和教学状况。

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