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Circulating biomarkers as predictors of left ventricular remodeling after myocardial infarction
INTRODUCTION: The main impact of myocardial infarction is shifting from acute mortality to adverse remodeling and chronic left ventricle dysfunction. Several circulating biomarkers are explored for better risk stratification of these patients. Biomarker testing is a very attractive idea, since it is...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Termedia Publishing House
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039920/ https://www.ncbi.nlm.nih.gov/pubmed/33868414 http://dx.doi.org/10.5114/aic.2021.104764 |
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author | Węgiel, Michał Rakowski, Tomasz |
author_facet | Węgiel, Michał Rakowski, Tomasz |
author_sort | Węgiel, Michał |
collection | PubMed |
description | INTRODUCTION: The main impact of myocardial infarction is shifting from acute mortality to adverse remodeling and chronic left ventricle dysfunction. Several circulating biomarkers are explored for better risk stratification of these patients. Biomarker testing is a very attractive idea, since it is non-invasive, not operator-dependent and widely available. AIM: In the present paper we analyze data from the years 2005–2020 about circulating biomarkers of remodeling after myocardial infarction. MATERIAL AND METHODS: We assessed 53 articles, which examined 160 relations between biomarkers and remodeling. We analyze inclusion criteria for individual studies, time points of serum collection and remodeling assessment as well as imaging methods. RESULTS: The main groups of assessed biomarkers included B-type natriuretic peptides, markers of cardiomyocyte injury and necrosis, markers of inflammatory response, markers of extracellular matrix turnover, microRNAs and hormones. The most common method of remodeling assessment was echocardiography and the most frequent time point for remodeling evaluation was 6 months. CONCLUSIONS: The present analysis shows that although a relatively large number biomarkers were tested, selecting one ideal marker is still a challenge. A combination of biomarkers from different groups might be appropriate for predicting remodeling. Data presented in this analysis might be helpful for designing future studies, evaluating clinical use of an individual biomarker or a combination of different biomarkers. |
format | Online Article Text |
id | pubmed-8039920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Termedia Publishing House |
record_format | MEDLINE/PubMed |
spelling | pubmed-80399202021-04-15 Circulating biomarkers as predictors of left ventricular remodeling after myocardial infarction Węgiel, Michał Rakowski, Tomasz Postepy Kardiol Interwencyjnej Review Paper INTRODUCTION: The main impact of myocardial infarction is shifting from acute mortality to adverse remodeling and chronic left ventricle dysfunction. Several circulating biomarkers are explored for better risk stratification of these patients. Biomarker testing is a very attractive idea, since it is non-invasive, not operator-dependent and widely available. AIM: In the present paper we analyze data from the years 2005–2020 about circulating biomarkers of remodeling after myocardial infarction. MATERIAL AND METHODS: We assessed 53 articles, which examined 160 relations between biomarkers and remodeling. We analyze inclusion criteria for individual studies, time points of serum collection and remodeling assessment as well as imaging methods. RESULTS: The main groups of assessed biomarkers included B-type natriuretic peptides, markers of cardiomyocyte injury and necrosis, markers of inflammatory response, markers of extracellular matrix turnover, microRNAs and hormones. The most common method of remodeling assessment was echocardiography and the most frequent time point for remodeling evaluation was 6 months. CONCLUSIONS: The present analysis shows that although a relatively large number biomarkers were tested, selecting one ideal marker is still a challenge. A combination of biomarkers from different groups might be appropriate for predicting remodeling. Data presented in this analysis might be helpful for designing future studies, evaluating clinical use of an individual biomarker or a combination of different biomarkers. Termedia Publishing House 2021-03-27 2021-03 /pmc/articles/PMC8039920/ /pubmed/33868414 http://dx.doi.org/10.5114/aic.2021.104764 Text en Copyright: © 2021 Termedia Sp. z o. o. https://creativecommons.org/licenses/by-nc-sa/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License, allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license. |
spellingShingle | Review Paper Węgiel, Michał Rakowski, Tomasz Circulating biomarkers as predictors of left ventricular remodeling after myocardial infarction |
title | Circulating biomarkers as predictors of left ventricular remodeling after myocardial infarction |
title_full | Circulating biomarkers as predictors of left ventricular remodeling after myocardial infarction |
title_fullStr | Circulating biomarkers as predictors of left ventricular remodeling after myocardial infarction |
title_full_unstemmed | Circulating biomarkers as predictors of left ventricular remodeling after myocardial infarction |
title_short | Circulating biomarkers as predictors of left ventricular remodeling after myocardial infarction |
title_sort | circulating biomarkers as predictors of left ventricular remodeling after myocardial infarction |
topic | Review Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039920/ https://www.ncbi.nlm.nih.gov/pubmed/33868414 http://dx.doi.org/10.5114/aic.2021.104764 |
work_keys_str_mv | AT wegielmichał circulatingbiomarkersaspredictorsofleftventricularremodelingaftermyocardialinfarction AT rakowskitomasz circulatingbiomarkersaspredictorsofleftventricularremodelingaftermyocardialinfarction |