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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...

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Autores principales: Charach, Lior, Blatt, Alex, Jonas, Michael, Teodorovitz, Nick, Haberman, Dan, Gendelman, Gera, Grosskopf, Itamar, George, Jacob, Charach, Gideon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
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.
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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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