Baker Sally, Chambers Charles, McQuillan Patrick, Janicki Piotr, Kadry Zakiyah, Bowen Daniel, Bezinover Dmitri
Department of Anesthesiology, Pennsylvania State University College of Medicine, Penn State Hershey Medical Center, Hershey, PA, USA.
Clin Transplant. 2015 Apr;29(4):319-26. doi: 10.1111/ctr.12517. Epub 2015 Feb 12.
A reliable screening test for coronary artery disease (CAD) in liver transplant (LT) candidates with end-stage liver disease is essential because a high percentage of perioperative mortality and morbidity is CAD-related. In this study, the effectiveness of myocardial perfusion imaging (MPI) for identification of significant CAD in LT candidates was evaluated. Records of 244 patients meeting criteria for MPI were evaluated: 74 met inclusion criteria; 40 had a positive MPI and cardiology follow-up; 27 had a negative MPI and underwent LT; and seven had a negative MPI and then had coronary angiography or a significant cardiac event. A selective MPI interpretation strategy was established where MPI-positive patients were divided into high, intermediate, and low CAD risk groups. The overall incidence of CAD in this study population was 5.1% and our strategy resulted in PPV 20%, NPV 94%, sensitivity 80%, and specificity 50% for categorizing CAD risk. When applied only to the subset of patients categorized as high CAD risk, the strategy was more effective, with PPV 67%, NPV 97%, sensitivity 80%, and specificity 94%. We determined that renal dysfunction was an independent predictive factor for CAD (p < 0.0001, odds ratio = 8.1), and grades of coronary occlusion correlated significantly with chronic renal dysfunction (p = 0.0079).
对于患有终末期肝病的肝移植(LT)候选者而言,一种可靠的冠状动脉疾病(CAD)筛查测试至关重要,因为围手术期死亡率和发病率中有很大比例与CAD相关。在本研究中,评估了心肌灌注成像(MPI)在识别LT候选者显著CAD方面的有效性。对244例符合MPI标准的患者记录进行了评估:74例符合纳入标准;40例MPI呈阳性并接受心脏病学随访;27例MPI呈阴性并接受了LT;7例MPI呈阴性,随后进行了冠状动脉造影或发生了重大心脏事件。建立了一种选择性MPI解读策略,将MPI阳性患者分为高、中、低CAD风险组。本研究人群中CAD的总体发生率为5.1%,我们的策略对CAD风险分类的阳性预测值(PPV)为20%,阴性预测值(NPV)为94%,敏感性为80%,特异性为50%。当仅应用于分类为高CAD风险的患者亚组时,该策略更有效,PPV为67%,NPV为97%,敏感性为80%,特异性为94%。我们确定肾功能不全是CAD的独立预测因素(p < 0.0001,比值比 = 8.1),冠状动脉闭塞程度与慢性肾功能不全显著相关(p = 0.0079)。