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 fa...

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Main Authors: Lei Zhang, Juledezi Hailati, Xiaoyun Ma, Jiangping Liu, Zhiqiang Liu, Yuchun Yang, Pengyi He, Muhuyati Wulasihan
Format: Article
Language:English
Published: SAGE Publishing 2021-05-01
Series:Journal of International Medical Research
Online Access:https://doi.org/10.1177/03000605211008326
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author Lei Zhang
Juledezi Hailati
Xiaoyun Ma
Jiangping Liu
Zhiqiang Liu
Yuchun Yang
Pengyi He
Muhuyati Wulasihan
author_facet Lei Zhang
Juledezi Hailati
Xiaoyun Ma
Jiangping Liu
Zhiqiang Liu
Yuchun Yang
Pengyi He
Muhuyati Wulasihan
author_sort Lei Zhang
collection DOAJ
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 doaj.art-27c9f2493a6a4842af232e8f611faed72022-12-21T19:54:29ZengSAGE PublishingJournal of International Medical Research1473-23002021-05-014910.1177/03000605211008326Analysis of risk factors for different subtypes of acute coronary syndromeLei ZhangJuledezi HailatiXiaoyun MaJiangping LiuZhiqiang LiuYuchun YangPengyi HeMuhuyati WulasihanAims 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.https://doi.org/10.1177/03000605211008326
spellingShingle Lei Zhang
Juledezi Hailati
Xiaoyun Ma
Jiangping Liu
Zhiqiang Liu
Yuchun Yang
Pengyi He
Muhuyati Wulasihan
Analysis of risk factors for different subtypes of acute coronary syndrome
Journal of International Medical Research
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
url https://doi.org/10.1177/03000605211008326
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