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Utility of strain imaging in conjunction with heart failure stage classification for heart failure patient management.
- Source :
-
Journal of echocardiography [J Echocardiogr] 2019 Mar; Vol. 17 (1), pp. 17-24. Date of Electronic Publication: 2018 Nov 15. - Publication Year :
- 2019
-
Abstract
- The American College of Cardiology Foundation/American Heart Association (ACCF/AHA) classification, based on structural changes and symptoms, classifies stages of heart failure (HF) development as Stages A-D. This HF classification emphasizes the development and progression of the disease and can be used to describe individuals and populations. Since HF is considered a progressive disorder that can be represented as a clinical continuum, individuals at a particular HF stage require specific management with the long-term goal of avoiding HF development and progression. Although early detection of subclinical left ventricular (LV) dysfunction is essential for delaying progression to HF, the assessment of such dysfunction can be challenging. While echocardiography plays a pivotal role in the quantification and early detection of LV structural findings, two-dimensional speckle-tracking echocardiographic parameters, especially global longitudinal strain (GLS), have recently been reported to be sensitive markers of early subtle abnormalities of LV myocardial performance. They are thus helpful for prediction of outcomes for various cardiac diseases, and superior to conventional echocardiographic indices such as LV ejection fraction, mitral inflow E and mitral e' annular velocities ratio. Strain imaging, especially GLS-guided management for patients at a particular stage of HF, may therefore have the potential to prevent progression to later HF stages and may offer new insights into the management of HF patients. This article reviews the utility of strain imaging, especially GLS in conjunction with HF stage classification, and future perspectives for HF patient management.
- Subjects :
- American Heart Association
Heart Failure diagnosis
Heart Failure physiopathology
Heart Ventricles physiopathology
Humans
Severity of Illness Index
Societies, Medical
United States
Disease Management
Early Diagnosis
Echocardiography statistics & numerical data
Heart Failure classification
Heart Ventricles diagnostic imaging
Stroke Volume physiology
Ventricular Function, Left physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1880-344X
- Volume :
- 17
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Journal of echocardiography
- Publication Type :
- Academic Journal
- Accession number :
- 30443873
- Full Text :
- https://doi.org/10.1007/s12574-018-0408-2