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What Strain Analysis Adds to Diagnosis and Prognosis in Heart Failure Patients
Heart failure (HF) is a common disease that requires appropriate tools to correctly predict cardiovascular outcomes. Echocardiography represents the most commonly used method for assessing left ventricular ejection fraction and a cornerstone in the detection of HF, but it fails to procure an optimal...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9917692/ https://www.ncbi.nlm.nih.gov/pubmed/36769484 http://dx.doi.org/10.3390/jcm12030836 |
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author | Pastorini, Guido Anastasio, Fabio Feola, Mauro |
author_facet | Pastorini, Guido Anastasio, Fabio Feola, Mauro |
author_sort | Pastorini, Guido |
collection | PubMed |
description | Heart failure (HF) is a common disease that requires appropriate tools to correctly predict cardiovascular outcomes. Echocardiography represents the most commonly used method for assessing left ventricular ejection fraction and a cornerstone in the detection of HF, but it fails to procure an optimal level of inter-observer variability, leading to unsatisfactory prediction of cardiovascular outcomes. In this review, we discuss emerging clinical tools (global longitudinal strain of the left ventricle, the right ventricle, and the left atrium) that permitted an improvement in the diagnosis and ameliorated the risk stratification across different HF phenotypes. The review analyzes the speckle-tracking contributions to the field, discussing the limitations and advantages in clinical practice. |
format | Online Article Text |
id | pubmed-9917692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99176922023-02-11 What Strain Analysis Adds to Diagnosis and Prognosis in Heart Failure Patients Pastorini, Guido Anastasio, Fabio Feola, Mauro J Clin Med Review Heart failure (HF) is a common disease that requires appropriate tools to correctly predict cardiovascular outcomes. Echocardiography represents the most commonly used method for assessing left ventricular ejection fraction and a cornerstone in the detection of HF, but it fails to procure an optimal level of inter-observer variability, leading to unsatisfactory prediction of cardiovascular outcomes. In this review, we discuss emerging clinical tools (global longitudinal strain of the left ventricle, the right ventricle, and the left atrium) that permitted an improvement in the diagnosis and ameliorated the risk stratification across different HF phenotypes. The review analyzes the speckle-tracking contributions to the field, discussing the limitations and advantages in clinical practice. MDPI 2023-01-20 /pmc/articles/PMC9917692/ /pubmed/36769484 http://dx.doi.org/10.3390/jcm12030836 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Pastorini, Guido Anastasio, Fabio Feola, Mauro What Strain Analysis Adds to Diagnosis and Prognosis in Heart Failure Patients |
title | What Strain Analysis Adds to Diagnosis and Prognosis in Heart Failure Patients |
title_full | What Strain Analysis Adds to Diagnosis and Prognosis in Heart Failure Patients |
title_fullStr | What Strain Analysis Adds to Diagnosis and Prognosis in Heart Failure Patients |
title_full_unstemmed | What Strain Analysis Adds to Diagnosis and Prognosis in Heart Failure Patients |
title_short | What Strain Analysis Adds to Diagnosis and Prognosis in Heart Failure Patients |
title_sort | what strain analysis adds to diagnosis and prognosis in heart failure patients |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9917692/ https://www.ncbi.nlm.nih.gov/pubmed/36769484 http://dx.doi.org/10.3390/jcm12030836 |
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