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用于区分肺动脉高压血流动力学特征的虚拟超声心动图筛查工具。

Virtual echocardiography screening tool to differentiate hemodynamic profiles in pulmonary hypertension.

作者信息

Vaidya Anjali, Golbus Jessica R, Vedage Natasha A, Mazurek Jeremy, Raza Farhan, Forfia Paul R

机构信息

Department of Medicine, Cardiovascular Division, Pulmonary Hypertension, Right Heart Failure and CTEPH Program, Temple University School of Medicine, Philadelphia, PA, USA.

Department of Medicine, Cardiovascular Division, University of Michigan, Ann Arbor, MI, USA.

出版信息

Pulm Circ. 2020 Sep 17;10(3):2045894020950225. doi: 10.1177/2045894020950225. eCollection 2020 Jul-Sep.

Abstract

This study validated a novel virtual echocardiography screening tool (VEST), which utilized routinely reported echocardiography parameters to predict hemodynamic profiles in pulmonary hypertension (PH) and identify PH due to pulmonary vascular disease (PH). Direct echocardiography imaging review has been shown to predict hemodynamic profiles in PH; however, routine use often overemphasizes Doppler-estimated pulmonary artery systolic pressure (PASP), which lacks discriminatory power among hemodynamically varied PH subgroups. In patients with PH of varying subtypes at a tertiary referral center, reported echocardiographic findings needed for VEST, including left atrial size, E:e' and systolic interventricular septal flattening, were obtained. Receiver operating characteristic analyses assessed the predictive performance of VEST vs. PASP in identifying PH, which was later confirmed by right heart catheterization. VEST demonstrated far superior discriminatory power than PASP in identifying PH. A positive score was 80.0% sensitive and 75.6% specific for PH with an area under the curve of 0.81. PASP exhibited poorer discriminatory power with an area under the curve of 0.56. VEST's strong discriminatory ability remained unchanged when validated in a second cohort from another tertiary center. We demonstrated that this novel VEST using three routine parameters that can be easily extracted from standard echocardiographic reports can successfully capture PH patients with a high likelihood of PH. During the Covid-19 pandemic, when right heart catheterization and timely access to experts at accredited PH centers may have limited widespread availability, this may assist physicians to rapidly and remotely evaluate PH patients to ensure timely and appropriate care.

摘要

本研究验证了一种新型虚拟超声心动图筛查工具(VEST),该工具利用常规报告的超声心动图参数来预测肺动脉高压(PH)的血流动力学特征,并识别由肺血管疾病(PH)引起的肺动脉高压。直接超声心动图成像检查已被证明可预测PH的血流动力学特征;然而,常规使用往往过度强调多普勒估计的肺动脉收缩压(PASP),而PASP在血流动力学不同的PH亚组中缺乏鉴别能力。在一家三级转诊中心的不同亚型PH患者中,获取了VEST所需的报告超声心动图结果,包括左心房大小、E:e'和收缩期室间隔扁平度。受试者工作特征分析评估了VEST与PASP在识别PH方面的预测性能,随后通过右心导管检查进行了确认。在识别PH方面,VEST显示出比PASP优越得多的鉴别能力。阳性评分对PH的敏感性为80.0%,特异性为75.6%,曲线下面积为0.81。PASP的鉴别能力较差,曲线下面积为0.56。当在另一家三级中心的第二个队列中进行验证时,VEST强大的鉴别能力保持不变。我们证明,这种使用三个可从标准超声心动图报告中轻松提取的常规参数的新型VEST能够成功识别极有可能患有PH的患者。在新冠疫情期间,当右心导管检查以及及时联系经认可的PH中心的专家可能受到限制而无法广泛开展时,这可能有助于医生快速、远程地评估PH患者,以确保及时、适当的治疗。

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