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Treatment of Heart Failure With Preserved Ejection Fraction (HFpEF): the Phenotype-Guided Approach

机译:用保存的射血分数(HFPEF)治疗心力衰竭:表型引导方法

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The syndrome of heart failure with preserved ejection (HFpEF) continues to rise in prevalence without persuasive evidence of current pharmacologic interventions that can reduce mortality. Clinical trials thus far have generally enrolled "all-comers" with the clinical syndrome of heart failure and objective evidence of a preserved ejection fraction. However, HFpEF is increasingly understood to be a heterogeneous syndrome likely borne from the interplay of genetic predisposition, lifestyle factors, and high burden of associated comorbidities with each contributing to a variety of incompletely understood pathophysiologic abnormalities. Complicating management further, such abnormalities appear to be present to varying degrees among individual patients. Ongoing studies, along with the use of computational statistics/machine learning, offer the hope of clarifying the pathophysiological substrates giving rise to the syndrome of HFpEF in different patient subsets. With better understanding of the syndrome's underpinnings, there will be the potential for development of truly targeted therapies. However, for now, there is substantial evidence for the use of currently available pharmacologic device and lifestyle therapy for the optimized management of patients. Such therapy can be tailored to presently identifiable patient clusters-called "phenotypes"-distinguished by both the presence of predominant presenting symptoms and/or predominant comorbidity profiles.
机译:用保存的喷射(HFPEF)的心力衰竭综合症继续患病率,没有有说服力的药理学干预措施,可以减少死亡率。迄今为止临床试验通常与保存射血分数的临床综合征和客观证据进行临床综合征。然而,HFPEF越来越被理解为一种异质综合征,可能是从遗传易感,生活方式因素的相互作用中承担的异质综合征,以及每个有助于各种不完全理解的病理生理异常的贡献。再生管理进一步,这种异常似乎存在于个体患者之间的不同程度。正在进行的研究以及使用计算统计/机器学习,提出希望澄清病理生理学基质,从不同的患者子集中产生HFPEF的综合症。随着对综合症的基础更好地了解,将有可能导致真正有针对性的疗法。但是,目前,使用目前可用的药理学设备和生活方式治疗的优化管理有实质性证据。这种治疗可以根据主要呈现症状和/或主要合并症的存在,当前可识别的患者簇簇称为典型的患者簇簇“表型”。

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