Cardiac mechanics in heart failure with preserved ejection fraction

被引:8
作者
Seetharam, Karthik [1 ]
Sengupta, Partho P. [1 ]
Bianco, Christopher M. [1 ]
机构
[1] West Virginia Univ, Med Heart & Vasc Inst, 1 Med Ctr Dr, Morgantown, WV 26506 USA
来源
ECHOCARDIOGRAPHY-A JOURNAL OF CARDIOVASCULAR ULTRASOUND AND ALLIED TECHNIQUES | 2020年 / 37卷 / 11期
关键词
diastolic dysfunction; HFpEF; machine learning; precision phenotyping; LEFT ATRIAL FUNCTION; RIGHT-VENTRICULAR DYSFUNCTION; SPECKLE-TRACKING ECHOCARDIOGRAPHY; DIASTOLIC DYSFUNCTION; HYPERTENSIVE PATIENTS; DIABETES-MELLITUS; FILLING PRESSURES; SYSTOLIC FUNCTION; TWIST MECHANICS; DEFORMATION;
D O I
10.1111/echo.14764
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Heart failure with preserved ejection fraction (HFpEF) is a complex clinical entity associated with significant morbidity and mortality. Common comorbidities including hypertension, coronary artery disease, diabetes, chronic kidney disease, obesity, and increasing age predispose to preclinical diastolic dysfunction that often progresses to frank HFpEF. Clinical HFpEF is typically associated with some degree of diastolic dysfunction, but can occur in the absence of many conventional diastolic dysfunction indices. The exact biologic links between risk factors, structural changes, and clinical manifestations are not clearly apparent. Innovative approaches including deformation imaging have enabled deeper understanding of HFpEF cardiac mechanics beyond conventional metrics. Furthermore, predictive analytics through data-driven platforms have allowed for a deeper understanding of HFpEF phenotypes. This review focuses on the changes in cardiac mechanics that occur through preclinical myocardial dysfunction to clinically apparent HFpEF.
引用
收藏
页码:1936 / 1943
页数:8
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