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心力衰竭的射血分数外的结构和心肌功能障碍。

Structural and myocardial dysfunction in heart failure beyond ejection fraction.

机构信息

Department of Cardiovascular, Respiratory, Nephrology, Anesthesiology and Geriatric Sciences, Sapienza University of Rome, Rome, Italy.

出版信息

Heart Fail Rev. 2020 Jan;25(1):9-17. doi: 10.1007/s10741-019-09828-8.

Abstract

Heart failure is a multifaceted syndrome addressing for a high rate of death among the general population. The common approach to this disease has been always based on the evaluation of the left ventricular ejection fraction by two-dimensional echocardiography with Simpson's method. Mounting evidences have demonstrated the pitfalls of this method and have suggested that the management of heart failure requires a deep knowledge of the pathophysiological insights of the disease and cannot rely only on the evaluation of the left ventricular ejection fraction. Several advanced imaging technologies overwhelm the evaluation of ejection fraction and could provide a better understanding of the myocardial abnormalities underlying heart failure. Considering the limitation of left ventricular ejection fraction and the systemic involvement of heart failure, classifications of heart failure based on ejection fraction should be substituted with a comprehensive "staging" of multiorgan damage, not only considering the heart but also the lungs, kidneys, and liver, such as the HLM staging system. Such a holistic approach based on the HLM staging system and multimodality imaging can provide a global assessment of patient features allowing for targeted therapies and better heart failure management.

摘要

心力衰竭是一种多方面的综合征,导致普通人群的死亡率居高不下。对这种疾病的常见处理方法一直基于二维超声心动图辛普森法评估左心室射血分数。越来越多的证据表明了这种方法的缺陷,并表明心力衰竭的管理需要深入了解疾病的病理生理见解,而不能仅仅依赖于左心室射血分数的评估。几种先进的成像技术超越了射血分数的评估,能够更好地了解心力衰竭下的心肌异常。考虑到左心室射血分数的局限性和心力衰竭的全身性受累,基于射血分数的心力衰竭分类应该用综合的多器官损伤“分期”来替代,不仅要考虑心脏,还要考虑肺、肾和肝,如 HLM 分期系统。基于 HLM 分期系统和多模态成像的这种整体方法可以对患者特征进行全面评估,从而实现靶向治疗和更好的心力衰竭管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6eaa/6985184/3766d9093f5e/10741_2019_9828_Fig1_HTML.jpg

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