Multivariable model for prediction of risk of significant complication during diagnostic cardiac catheterization. The Registry Committee of the Society for Cardiac Angiography & Interventions.
Multivariable model for prediction of risk of significant complication during diagnostic cardiac catheterization. The Registry Committee of the Society for Cardiac Angiography & Interventions.
复制标题
用于预测诊断性心导管插入术期间严重并发症风险的多变量模型。
DOI：
10.1002/ccd.1810300302
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发表时间：
1993
期刊：
影响因子：
--
通讯作者：
L. Johnson
中科院分区：
文献类型：
--
作者：
W. Laskey;J. Boyle;L. Johnson
尽管在诊断性心导管置入术中存在与手术相关的并发症的频率的足够数据，但几乎没有信息可用于对重大并发症的危险因素进行定量评估。我们分析了1990年SCA&I注册数据库中的58,332例手术，以评估1)容易获得的预测主要并发症的术前因素的独立和累积意义，以及2)存在这些危险因素的情况下发生重大并发症的可能性。在随机抽样的38,888名患者中建立了一个模型，并在其余19,444名患者中进行了验证。12个变量被确定为具有显著并发症的独立预测行为，在验证样本中具有很好的一致性。目前的模型是一种准确和可靠的工具，用于对诊断性导管术中重大并发症的风险进行分层。
Although adequate data exist on the frequency of procedural-related complications during diagnostic cardiac catheterization, little information is available for the quantitative assessment of risk factors for significant complication. We analyzed 58,332 procedures in the 1990 SCA&I Registry Database in order to assess 1) the independent and cumulative significance of easily obtainable pre-procedural factors predictive of major complication and 2) the likelihood of a significant complication given the presence of these risk factors. A model was developed on a random sample of 38,888 patients and validated in the remaining 19,444 patients. Twelve variables were identified as having independent predictive behavior for significant complication with excellent agreement in the validation sample. The current model is an accurate and reliable instrument for stratifying risk of a significant complication during diagnostic catheterization.