NSTEMI, Non-ST-elevation myocardial infarction

NSTEMI,非 ST 段抬高型心肌梗死
  • 文章类型: Journal Article
    未经证实:经皮冠状动脉介入治疗(PCI)期间使用血管内超声(IVUS)或光学相干断层扫描(OCT)进行血管内成像可改善预后。但是这些技术以前在现实世界中没有得到充分利用。我们的目的是研究过去十年来美国血管内成像引导PCI使用的变化,并评估心肌梗死(MI)PCI后血管内成像与临床结局之间的关系。
    UNASSIGNED:我们调查了2008年至2019年的全国住院患者样本,以计算IVUS或OCT指导下MI的PCI数量。使用Cochran-Armitage趋势检验或简单线性回归分析分类或连续结果的时间趋势。分别。多变量逻辑回归用于比较有和没有血管内成像的PCI后的结果。
    UNASSIGNED:对MI进行了2,881,746次PCI。IVUS引导的PCI数量增加了309.9%,从2008年的6,180个增加到2019年的25,330个(P趋势<0.001)。PCI中IVUS的使用比例从2008年的3.4%增加到2019年的8.7%(P趋势<0.001)。OCT引导的PCIs数量增加了548.4%,从2011年的246个增加到2019年的1,595个(P趋势<0.001)。所有PCI中OCT引导的百分比从2008年的0.0%增加到2019年的0.6%(P趋势<0.001)。血管内成像引导的PCI与住院死亡率的几率较低相关(校正比值比0.66,95%置信区间0.60-0.72,p<0.001)。
    UNASSIGNED:尽管血管内成像引导的PCI的数量一直在增加,尽管血管内成像与较低的死亡率相关,但仍较差.
    UNASSIGNED: Intravascular imaging with either intravascular ultrasound (IVUS) or optical coherence tomography (OCT) during percutaneous coronary intervention (PCI) is associated with improved outcomes, but these techniques have previously been underutilized in the real world. We aimed to examine the change in utilization of intravascular imaging-guided PCI over the past decade in the United States and assess the association between intravascular imaging and clinical outcomes following PCI for myocardial infarction (MI).
    UNASSIGNED: We surveyed the National Inpatient Sample from 2008 to 2019 to calculate the number of PCIs for MI guided by IVUS or OCT. Temporal trends were analyzed using Cochran-Armitage trend test or simple linear regression for categorical or continuous outcomes, respectively. Multivariable logistic regression was used to compare outcomes following PCI with and without intravascular imaging.
    UNASSIGNED: A total of 2,881,746 PCIs were performed for MI. The number of IVUS-guided PCIs increased by 309.9 % from 6,180 in 2008 to 25,330 in 2019 (P-trend < 0.001). The percentage of IVUS use in PCIs increased from 3.4 % in 2008 to 8.7 % in 2019 (P-trend < 0.001). The number of OCT-guided PCIs increased 548.4 % from 246 in 2011 to 1,595 in 2019 (P-trend < 0.001). The percentage of OCT guidance in all PCIs increased from 0.0 % in 2008 to 0.6 % in 2019 (P-trend < 0.001). Intravascular imaging-guided PCI was associated with lower odds of in-hospital mortality (adjusted odds ratio 0.66, 95 % confidence interval 0.60-0.72, p < 0.001).
    UNASSIGNED: Although the number of intravascular imaging-guided PCIs have been increasing, adoption of intravascular imaging remains poor despite an association with lower mortality.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Pubmed)

  • 文章类型: Journal Article
    背景:在高敏肌钙蛋白(hs-Tn)时代,高达50%的hs-Tn轻度增加的患者最终会有正常的侵入性冠状动脉造影。冠状动脉计算机断层血管造影术(FFR-CT)得出的血流储备分数(FFR)从未被用作诊断无ST段抬高的高风险急性冠状动脉综合征(NSTE-ACS)患者冠状动脉疾病的非侵入性工具。
    目的:本研究旨在确定冠状动脉CT血管造影和FFR-CT在高危NSTE-ACS中的作用。
    方法:我们将进行一项前瞻性试验,纳入250例高危NSTE-ACS患者,他们将迅速接受冠状动脉CT血管造影,然后进行冠状动脉血管造影并测量FFR。冠状动脉CT检查结果,将比较FFR-CT和冠状动脉造影(±FFR)。
    总而言之,对可以避免冠状动脉造影的高危NSTE-ACS患者进行非侵入性识别将降低手术相关风险和医疗费用.
    BACKGROUND: In the era of High-sensitive troponin (hs-Tn), up to 50% of patients with a mild increase of hs-Tn will finally have a normal invasive coronary angiogram. Fractional Flow Reserve (FFR) derived from coronary computed tomographic angiography (FFR-CT) has never been used as a non-invasive tool for the diagnosis of coronary artery disease in patients with high-risk acute coronary syndrome without ST segment elevation (NSTE-ACS).
    OBJECTIVE: The study aims to determine the role of coronary CT angiography and FFR-CT in the setting of high-risk NSTE-ACS.
    METHODS: We will conduct a prospective trial, enrolling 250 patients admitted with high-risk NSTE-ACS who will rapidly undergo a coronary CT angiography and then a coronary angiography with FFR measurements. Results of coronary CT, FFR-CT and coronary angiography (± FFR) will be compared.
    UNASSIGNED: In conclusion, non-invasive identification of patients with high-risk NSTE-ACS who could avoid coronary angiography would reduce procedure related risks and medical costs.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Sci-hub)

       PDF(Pubmed)

公众号