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一种更新的出血模型,用于预测行经皮冠状动脉介入治疗患者术后出血的风险:使用国家心血管数据注册中心 CathPCI 注册库扩展的出血定义的报告。

An updated bleeding model to predict the risk of post-procedure bleeding among patients undergoing percutaneous coronary intervention: a report using an expanded bleeding definition from the National Cardiovascular Data Registry CathPCI Registry.

机构信息

Duke Clinical Research Institute, Durham, North Carolina.

出版信息

JACC Cardiovasc Interv. 2013 Sep;6(9):897-904. doi: 10.1016/j.jcin.2013.04.016.

Abstract

OBJECTIVES

This study sought to develop a model that predicts bleeding complications using an expanded bleeding definition among patients undergoing percutaneous coronary intervention (PCI) in contemporary clinical practice.

BACKGROUND

New knowledge about the importance of periprocedural bleeding combined with techniques to mitigate its occurrence and the inclusion of new data in the updated CathPCI Registry data collection forms encouraged us to develop a new bleeding definition and risk model to improve the monitoring and safety of PCI.

METHODS

Detailed clinical data from 1,043,759 PCI procedures at 1,142 centers from February 2008 through April 2011 participating in the CathPCI Registry were used to identify factors associated with major bleeding complications occurring within 72 h post-PCI. Risk models (full and simplified risk scores) were developed in 80% of the cohort and validated in the remaining 20%. Model discrimination and calibration were assessed in the overall population and among the following pre-specified patient subgroups: females, those older than 70 years of age, those with diabetes mellitus, those with ST-segment elevation myocardial infarction, and those who did not undergo in-hospital coronary artery bypass grafting.

RESULTS

Using the updated definition, the rate of bleeding was 5.8%. The full model included 31 variables, and the risk score had 10. The full model had similar discriminatory value across pre-specified subgroups and was well calibrated across the PCI risk spectrum.

CONCLUSIONS

The updated bleeding definition identifies important post-PCI bleeding events. Risk models that use this expanded definition provide accurate estimates of post-PCI bleeding risk, thereby better informing clinical decision making and facilitating risk-adjusted provider feedback to support quality improvement.

摘要

目的

本研究旨在开发一种模型,该模型使用经皮冠状动脉介入治疗(PCI)中扩大的出血定义来预测出血并发症。

背景

新的知识表明围手术期出血的重要性,再加上减轻出血的技术以及在更新的 CathPCI 登记数据收集表中纳入新的数据,鼓励我们开发新的出血定义和风险模型,以改善 PCI 的监测和安全性。

方法

利用 2008 年 2 月至 2011 年 4 月期间 1142 个中心的 1043759 例 PCI 手术的详细临床数据,确定与 PCI 后 72 小时内发生主要出血并发症相关的因素。在 80%的队列中开发了风险模型(完整和简化风险评分),并在剩余的 20%中进行了验证。在总体人群中以及以下预先指定的患者亚组中评估了模型的区分度和校准度:女性、年龄大于 70 岁、患有糖尿病、ST 段抬高型心肌梗死和未进行院内冠状动脉旁路移植术的患者。

结果

使用更新的定义,出血率为 5.8%。完整模型包括 31 个变量,风险评分有 10 个。完整模型在预先指定的亚组中具有相似的区分能力,并且在整个 PCI 风险谱上具有良好的校准能力。

结论

更新的出血定义确定了重要的 PCI 后出血事件。使用该扩展定义的风险模型提供了 PCI 后出血风险的准确估计,从而更好地为临床决策提供信息,并促进风险调整后的提供者反馈,以支持质量改进。

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