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肺血管疾病患者右心的综合超声心动图评估:PVDOMICS 经验。

Comprehensive echocardiographic evaluation of the right heart in patients with pulmonary vascular diseases: the PVDOMICS experience.

机构信息

Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, USA.

Wayne State University, 4646 John R Street, Detroit, MI 48201USA.

出版信息

Eur Heart J Cardiovasc Imaging. 2022 Jun 21;23(7):958-969. doi: 10.1093/ehjci/jeab065.

Abstract

AIMS

There is a wide spectrum of diseases associated with pulmonary hypertension, pulmonary vascular remodelling, and right ventricular dysfunction. The NIH-sponsored PVDOMICS network seeks to perform comprehensive clinical phenotyping and endophenotyping across these disorders to further evaluate and define pulmonary vascular disease.

METHODS AND RESULTS

Echocardiography represents the primary non-invasive method to phenotype cardiac anatomy, function, and haemodynamics in these complex patients. However, comprehensive right heart evaluation requires the use of multiple echocardiographic parameters and optimized techniques to ensure optimal image acquisition. The PVDOMICS echo protocol outlines the best practice approach to echo phenotypic assessment of the right heart/pulmonary artery unit.

CONCLUSION

Novel workflow processes, methods for quality control, data for feasibility of measurements, and reproducibility of right heart parameters derived from this study provide a benchmark frame of reference. Lessons learned from this protocol will serve as a best practice guide for echocardiographic image acquisition and analysis across the spectrum of right heart/pulmonary vascular disease.

摘要

目的

与肺动脉高压、肺血管重构和右心功能障碍相关的疾病种类繁多。美国国立卫生研究院(NIH)赞助的 PVDOMICS 网络旨在对这些疾病进行全面的临床表型和内表型分析,以进一步评估和定义肺血管疾病。

方法和结果

超声心动图是对这些复杂患者进行心脏解剖、功能和血液动力学表型评估的主要非侵入性方法。然而,全面的右心评估需要使用多个超声心动图参数和优化技术来确保最佳图像采集。PVDOMICS 超声心动图协议概述了对右心/肺动脉单元进行超声心动图表型评估的最佳实践方法。

结论

这项研究提供了新颖的工作流程、质量控制方法、测量可行性的数据以及源自右心参数的可重复性,为右心/肺血管疾病谱的超声心动图图像采集和分析提供了基准参考框架。从该协议中吸取的经验教训将成为整个右心/肺血管疾病超声心动图图像采集和分析的最佳实践指南。

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