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Using the Gensini score to estimate severity of STEMI, NSTEMI, unstable angina, and anginal syndrome
Gensini score (GS) provides valuable information on severity and prognosis of coronary artery disease (CAD). To evaluate the relationship between the severity of CAD determined by the GS and relation to ST-elevation myocardial infarction, non-ST segment elevation myocardial infarction (NSTEMI), unst...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519204/ https://www.ncbi.nlm.nih.gov/pubmed/34731103 http://dx.doi.org/10.1097/MD.0000000000027331 |
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author | Charach, Lior Blatt, Alex Jonas, Michael Teodorovitz, Nick Haberman, Dan Gendelman, Gera Grosskopf, Itamar George, Jacob Charach, Gideon |
author_facet | Charach, Lior Blatt, Alex Jonas, Michael Teodorovitz, Nick Haberman, Dan Gendelman, Gera Grosskopf, Itamar George, Jacob Charach, Gideon |
author_sort | Charach, Lior |
collection | PubMed |
description | Gensini score (GS) provides valuable information on severity and prognosis of coronary artery disease (CAD). To evaluate the relationship between the severity of CAD determined by the GS and relation to ST-elevation myocardial infarction, non-ST segment elevation myocardial infarction (NSTEMI), unstable angina pectoris, chest pain (suspected angina syndrome on admission) and risk-factors for CAD and predictors of severity. Observational cross-sectional study. Consecutive patients who underwent clinically-indicated coronary angiography for ST-elevation myocardial infarction, NSTEMI, unstable angina pectoris or chest pain were enrolled. Among 600 patients, 417 (average age 67.8 ± 12.2 years) had CAD–related symptoms. Mean GS was 66.7 ± 63.8. Patients presenting with NSTEMI had the highest GS (81.3 ± 42.3; P < .001) Regression analysis of risk-factors showed the best association of GS with multivessel disease and coronary artery bypass graft. Regression analysis of medications showed that clopidogrel, had the best association with low GS. GS correlated with the severity of CAD, multivessel disease, coronary artery bypass graft, and troponin. GS was related to the cardiovascular risk-factors of diabetes, hypertension, and high-density cholesterol. |
format | Online Article Text |
id | pubmed-8519204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-85192042021-10-18 Using the Gensini score to estimate severity of STEMI, NSTEMI, unstable angina, and anginal syndrome Charach, Lior Blatt, Alex Jonas, Michael Teodorovitz, Nick Haberman, Dan Gendelman, Gera Grosskopf, Itamar George, Jacob Charach, Gideon Medicine (Baltimore) 3400 Gensini score (GS) provides valuable information on severity and prognosis of coronary artery disease (CAD). To evaluate the relationship between the severity of CAD determined by the GS and relation to ST-elevation myocardial infarction, non-ST segment elevation myocardial infarction (NSTEMI), unstable angina pectoris, chest pain (suspected angina syndrome on admission) and risk-factors for CAD and predictors of severity. Observational cross-sectional study. Consecutive patients who underwent clinically-indicated coronary angiography for ST-elevation myocardial infarction, NSTEMI, unstable angina pectoris or chest pain were enrolled. Among 600 patients, 417 (average age 67.8 ± 12.2 years) had CAD–related symptoms. Mean GS was 66.7 ± 63.8. Patients presenting with NSTEMI had the highest GS (81.3 ± 42.3; P < .001) Regression analysis of risk-factors showed the best association of GS with multivessel disease and coronary artery bypass graft. Regression analysis of medications showed that clopidogrel, had the best association with low GS. GS correlated with the severity of CAD, multivessel disease, coronary artery bypass graft, and troponin. GS was related to the cardiovascular risk-factors of diabetes, hypertension, and high-density cholesterol. Lippincott Williams & Wilkins 2021-10-15 /pmc/articles/PMC8519204/ /pubmed/34731103 http://dx.doi.org/10.1097/MD.0000000000027331 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | 3400 Charach, Lior Blatt, Alex Jonas, Michael Teodorovitz, Nick Haberman, Dan Gendelman, Gera Grosskopf, Itamar George, Jacob Charach, Gideon Using the Gensini score to estimate severity of STEMI, NSTEMI, unstable angina, and anginal syndrome |
title | Using the Gensini score to estimate severity of STEMI, NSTEMI, unstable angina, and anginal syndrome |
title_full | Using the Gensini score to estimate severity of STEMI, NSTEMI, unstable angina, and anginal syndrome |
title_fullStr | Using the Gensini score to estimate severity of STEMI, NSTEMI, unstable angina, and anginal syndrome |
title_full_unstemmed | Using the Gensini score to estimate severity of STEMI, NSTEMI, unstable angina, and anginal syndrome |
title_short | Using the Gensini score to estimate severity of STEMI, NSTEMI, unstable angina, and anginal syndrome |
title_sort | using the gensini score to estimate severity of stemi, nstemi, unstable angina, and anginal syndrome |
topic | 3400 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519204/ https://www.ncbi.nlm.nih.gov/pubmed/34731103 http://dx.doi.org/10.1097/MD.0000000000027331 |
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