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首页> 外文期刊>JACC. Cardiovascular interventions >Risk-Adjusting Key Outcome Measures in a Clinical Quality PCI Registry Development of a Highly Predictive Model Without the Need to Exclude High-Risk Conditions
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Risk-Adjusting Key Outcome Measures in a Clinical Quality PCI Registry Development of a Highly Predictive Model Without the Need to Exclude High-Risk Conditions

机译:风险调整临床质量PCI注册表中的关键结果措施,高度预测模型,无需排除高风险条件

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OBJECTIVES This study sought to determine the most risk-adjustment model for 30-day all-cause mortality in order to report risk-adjusted outcomes. The study also explored whether the exclusion of extreme high-risk conditions of cardiogenic shock, intubated out-of-hospital cardiac arrest (OHCA), or the need for mechanical ventricular support affected the model's predictive accuracy.
机译:目的这项研究寻求确定30天的全部导致死亡率最大风险调整模型,以报告风险调整的结果。 该研究还探讨了是否排除了贲门咽部的极端高风险条件,插管医院内心脏骤停(OHCA),或者对机械心室支持的需求影响了模型的预测准确性。

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