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Comparison of Propensity Score-Matched Analysis of Acute Kidney Injury After Percutaneous Coronary Intervention With Transradial Versus Transfemoral Approaches

机译:经皮冠状动脉干预后颅脑干预后急性肾损伤倾向分数分析的比较

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Transradial percutaneous coronary intervention (TR-PCI) may be associated with reduced rates of acute kidney injury (AKI). There is limited data from real-world registries about AKI rates stratified by PCI access. Our aim was to evaluate AKI rates and correlates in TR-PCI versus transfemoral PCI (TF-PCI) in a propensity score matched analysis of patient data from a large, single-center registry. We performed a 1:1 propensity score matched analysis on consecutive patients who underwent PCI from January 2011 to June 2016, excluding those on dialysis. A multivariate logistic regression model was adjusted to variables found to be significant in univariate models. AKI was defined by creatinine increase of >= 0.3 mg/dL post-PCI during hospitalization. During the study period, 6,743 patients underwent PCI (TR-PCI n = 1,119). Initial univariate models revealed significant differences between patients with TF-PCI and TR-PCI. Contrast amount and procedure duration were both increased with TR-PCI versus TF-PCI (162 vs 154 ml, p = 0.003; and 86 vs 79 minutes, p <0.001, respectively). Multivariate propensity score analysis matched 536 pairs of patients. In this matched cohort, TR-PCI was associated with a reduced risk for AKI compared with TF-PCI in univariate (4.3% vs 10.4%, p <0.001) and multivariate adjusted models (odds ratio 0.28, 95% confidence interval 0.19 to 0.59, p <0.001). (C) 2017 Elsevier Inc. All rights reserved.
机译:颅经皮冠状动脉干预(TR-PCI)可能与急性肾损伤(AKI)的降低相关。关于PCI访问分层的AKI率的现实注册表中存在有限的数据。我们的目标是评估AKI率,并在TR-PCI与TransfeMoral PCI(TF-PCI)中相关的倾向评分与大型单中心注册表的患者数据分析。我们对2011年1月至2016年6月接受PCI的连续患者进行了1:1倾向得分匹配分析,不包括透析的患者。将多变量逻辑回归模型调整为在单变量模型中发现的变量。 AKI在住院期间通过> = 0.3mg / dL后PCI的肌酐增加来定义。在研究期间,6,743名患者接受了PCI(TR-PCI n = 1,119)。初始单变量模型揭示了TF-PCI和TR-PCI患者之间的显着差异。对比度和过程持续时间随着TR-PCI而增加,TF-PCI(162 vs154ml,p = 0.003;和86 vs 79分钟,P <0.001)。多变量倾向评分分析匹配536对患者。在这种匹配的队列中,与单变量中的TF-PCI相比,TR-PCI与AKI的风险降低(4.3%与10.4%,P <0.001)和多变量调整模型(0.28,95%置信区间0.19至0.59 ,p <0.001)。 (c)2017年Elsevier Inc.保留所有权利。

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