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Thrombin generation’s role in predicting coronary disease severity

BACKGROUND: Thrombin, a key enzyme of the clotting system, is involved in thrombus formation, platelet activation, and atherosclerosis, thereby possessing a central role in the pathogenesis of ischemic heart disease. Studies have shown an association between thrombin generation (TG) and cardiovascul...

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Autores principales: Elad, Boaz, Koren, Ofir, slim, Wasin, Turgeman, Yoav, Avraham, Gilat, Schwartz, Naama, Elias, Mazen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7413409/
https://www.ncbi.nlm.nih.gov/pubmed/32764787
http://dx.doi.org/10.1371/journal.pone.0237024
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author Elad, Boaz
Koren, Ofir
slim, Wasin
Turgeman, Yoav
Avraham, Gilat
Schwartz, Naama
Elias, Mazen
author_facet Elad, Boaz
Koren, Ofir
slim, Wasin
Turgeman, Yoav
Avraham, Gilat
Schwartz, Naama
Elias, Mazen
author_sort Elad, Boaz
collection PubMed
description BACKGROUND: Thrombin, a key enzyme of the clotting system, is involved in thrombus formation, platelet activation, and atherosclerosis, thereby possessing a central role in the pathogenesis of ischemic heart disease. Studies have shown an association between thrombin generation (TG) and cardiovascular morbidity and mortality, but results have been equivocal. Our aim was to study the predictive ability of TG assay in evaluating coronary stenosis severity. METHODS: In this prospective study we recruited patients with acute coronary syndrome (ACS) or acute chest pain (without evidence of myocardial injury) planned for coronary angiography. Thrombin generation was evaluated by Calibrated Automated Thrombogram (CAT) prior to angiography. Primary end points were significant coronary stenosis and the Syntax I score evaluated by coronary angiography. RESULTS: From April 2018 through September 2019, we recruited 128 patients. In the primary analysis there was no significant association between TG and significant coronary stenosis nor between TG and syntax I score, however, there was a positive correlation between peak height and troponin peak (Spearman correlation coefficient 0.194, P-value = 0.035). In sub-group analysis, the chest pain group bare no association between TG and coronary stenosis. In unstable angina group there was an association between peak height and significant coronary stenosis (P-value = 0.029), and in non ST-elevation myocardial infarction group, TG values possessed a relatively good predictive ability of significant coronary stenosis (area under the receiver operating characteristic curve of ~65%) and a positive correlation between both lag time and ttpeak with the syntax I score was noticed (Spearman correlation coefficient 0.31, P-value = 0.099 and Spearman correlation coefficient 0.37, P-value = 0.045 respectively). CONCLUSION: In patients with acute chest pain, TG values, evaluated by CAT, do not predict severity of coronary stenosis, nor do they possess prognostic value. Yet, in ACS patients, TG may have the ability to predict coronary disease severity.
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spelling pubmed-74134092020-08-13 Thrombin generation’s role in predicting coronary disease severity Elad, Boaz Koren, Ofir slim, Wasin Turgeman, Yoav Avraham, Gilat Schwartz, Naama Elias, Mazen PLoS One Research Article BACKGROUND: Thrombin, a key enzyme of the clotting system, is involved in thrombus formation, platelet activation, and atherosclerosis, thereby possessing a central role in the pathogenesis of ischemic heart disease. Studies have shown an association between thrombin generation (TG) and cardiovascular morbidity and mortality, but results have been equivocal. Our aim was to study the predictive ability of TG assay in evaluating coronary stenosis severity. METHODS: In this prospective study we recruited patients with acute coronary syndrome (ACS) or acute chest pain (without evidence of myocardial injury) planned for coronary angiography. Thrombin generation was evaluated by Calibrated Automated Thrombogram (CAT) prior to angiography. Primary end points were significant coronary stenosis and the Syntax I score evaluated by coronary angiography. RESULTS: From April 2018 through September 2019, we recruited 128 patients. In the primary analysis there was no significant association between TG and significant coronary stenosis nor between TG and syntax I score, however, there was a positive correlation between peak height and troponin peak (Spearman correlation coefficient 0.194, P-value = 0.035). In sub-group analysis, the chest pain group bare no association between TG and coronary stenosis. In unstable angina group there was an association between peak height and significant coronary stenosis (P-value = 0.029), and in non ST-elevation myocardial infarction group, TG values possessed a relatively good predictive ability of significant coronary stenosis (area under the receiver operating characteristic curve of ~65%) and a positive correlation between both lag time and ttpeak with the syntax I score was noticed (Spearman correlation coefficient 0.31, P-value = 0.099 and Spearman correlation coefficient 0.37, P-value = 0.045 respectively). CONCLUSION: In patients with acute chest pain, TG values, evaluated by CAT, do not predict severity of coronary stenosis, nor do they possess prognostic value. Yet, in ACS patients, TG may have the ability to predict coronary disease severity. Public Library of Science 2020-08-07 /pmc/articles/PMC7413409/ /pubmed/32764787 http://dx.doi.org/10.1371/journal.pone.0237024 Text en © 2020 Elad et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Elad, Boaz
Koren, Ofir
slim, Wasin
Turgeman, Yoav
Avraham, Gilat
Schwartz, Naama
Elias, Mazen
Thrombin generation’s role in predicting coronary disease severity
title Thrombin generation’s role in predicting coronary disease severity
title_full Thrombin generation’s role in predicting coronary disease severity
title_fullStr Thrombin generation’s role in predicting coronary disease severity
title_full_unstemmed Thrombin generation’s role in predicting coronary disease severity
title_short Thrombin generation’s role in predicting coronary disease severity
title_sort thrombin generation’s role in predicting coronary disease severity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7413409/
https://www.ncbi.nlm.nih.gov/pubmed/32764787
http://dx.doi.org/10.1371/journal.pone.0237024
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