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Analysis of risk factors for different subtypes of acute coronary syndrome

AIMS: To investigate the different risk factors among different subtypes of patients with acute coronary syndrome (ACS). METHODS: A total of 296 patients who had ACS were retrospectively enrolled. Blood and echocardiographic indices were assessed within 24 hours after admission. Differences in risk...

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Autores principales: Zhang, Lei, Hailati, Juledezi, Ma, Xiaoyun, Liu, Jiangping, Liu, Zhiqiang, Yang, Yuchun, He, Pengyi, Wulasihan, Muhuyati
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113931/
https://www.ncbi.nlm.nih.gov/pubmed/33969735
http://dx.doi.org/10.1177/03000605211008326
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author Zhang, Lei
Hailati, Juledezi
Ma, Xiaoyun
Liu, Jiangping
Liu, Zhiqiang
Yang, Yuchun
He, Pengyi
Wulasihan, Muhuyati
author_facet Zhang, Lei
Hailati, Juledezi
Ma, Xiaoyun
Liu, Jiangping
Liu, Zhiqiang
Yang, Yuchun
He, Pengyi
Wulasihan, Muhuyati
author_sort Zhang, Lei
collection PubMed
description AIMS: To investigate the different risk factors among different subtypes of patients with acute coronary syndrome (ACS). METHODS: A total of 296 patients who had ACS were retrospectively enrolled. Blood and echocardiographic indices were assessed within 24 hours after admission. Differences in risk factors and Gensini scores of coronary lesions among three groups were analyzed. RESULTS: Univariate analysis of risk factors for ACS subtypes showed that age, and levels of fasting plasma glucose, amino-terminal pro-brain natriuretic peptide, and creatine kinase isoenzyme were significantly higher in patients with non-ST-segment elevation myocardial infarction (NSTEMI) than in those with unstable angina pectoris (UAP). Logistic multivariate regression analysis showed that amino-terminal pro-brain natriuretic peptide and the left ventricular ejection fraction (LVEF) were related to ACS subtypes. The left ventricular end-diastolic diameter was an independent risk factor for UAP and ST-segment elevation myocardial infarction (STEMI) subtypes. The severity of coronary stenosis was significantly higher in NSTEMI and STEMI than in UAP. Gensini scores in the STEMI group were positively correlated with D-dimer levels (r = 0.429) and negatively correlated with the LVEF (r = −0.602). CONCLUSION: Different subtypes of ACS have different risk factors. Our findings may have important guiding significance for ACS subtype risk assessment and clinical treatment.
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spelling pubmed-81139312021-05-19 Analysis of risk factors for different subtypes of acute coronary syndrome Zhang, Lei Hailati, Juledezi Ma, Xiaoyun Liu, Jiangping Liu, Zhiqiang Yang, Yuchun He, Pengyi Wulasihan, Muhuyati J Int Med Res Retrospective Clinical Research Report AIMS: To investigate the different risk factors among different subtypes of patients with acute coronary syndrome (ACS). METHODS: A total of 296 patients who had ACS were retrospectively enrolled. Blood and echocardiographic indices were assessed within 24 hours after admission. Differences in risk factors and Gensini scores of coronary lesions among three groups were analyzed. RESULTS: Univariate analysis of risk factors for ACS subtypes showed that age, and levels of fasting plasma glucose, amino-terminal pro-brain natriuretic peptide, and creatine kinase isoenzyme were significantly higher in patients with non-ST-segment elevation myocardial infarction (NSTEMI) than in those with unstable angina pectoris (UAP). Logistic multivariate regression analysis showed that amino-terminal pro-brain natriuretic peptide and the left ventricular ejection fraction (LVEF) were related to ACS subtypes. The left ventricular end-diastolic diameter was an independent risk factor for UAP and ST-segment elevation myocardial infarction (STEMI) subtypes. The severity of coronary stenosis was significantly higher in NSTEMI and STEMI than in UAP. Gensini scores in the STEMI group were positively correlated with D-dimer levels (r = 0.429) and negatively correlated with the LVEF (r = −0.602). CONCLUSION: Different subtypes of ACS have different risk factors. Our findings may have important guiding significance for ACS subtype risk assessment and clinical treatment. SAGE Publications 2021-05-09 /pmc/articles/PMC8113931/ /pubmed/33969735 http://dx.doi.org/10.1177/03000605211008326 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Retrospective Clinical Research Report
Zhang, Lei
Hailati, Juledezi
Ma, Xiaoyun
Liu, Jiangping
Liu, Zhiqiang
Yang, Yuchun
He, Pengyi
Wulasihan, Muhuyati
Analysis of risk factors for different subtypes of acute coronary syndrome
title Analysis of risk factors for different subtypes of acute coronary syndrome
title_full Analysis of risk factors for different subtypes of acute coronary syndrome
title_fullStr Analysis of risk factors for different subtypes of acute coronary syndrome
title_full_unstemmed Analysis of risk factors for different subtypes of acute coronary syndrome
title_short Analysis of risk factors for different subtypes of acute coronary syndrome
title_sort analysis of risk factors for different subtypes of acute coronary syndrome
topic Retrospective Clinical Research Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113931/
https://www.ncbi.nlm.nih.gov/pubmed/33969735
http://dx.doi.org/10.1177/03000605211008326
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