冠心病患者的一些纤溶参数:关注不稳定心绞痛亚组

Y. Tyravska, O. Bondarchuk, N. Raksha, V. Lizogub, O. Savchuk
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They were divided into 3 groups: stable angina patients (n=22) (control), new-onset unstable angina patients (n=21), and progressive unstable angina patients (n=50). The groups were comparable by baseline characteristics. Blood samples were obtained before treatment onset. The concentrations of tissue plasminogen activator and inhibitor of plasminogen activator (type 1) were measured by the ELISA method. We registered 14 points at the admission department, particularly age, sex, body mass index, smoking, presence of the family history of cardiovascular disorders, ST-segment depression, T-wave variability, arrhythmias, left bundle branch blockage, heart rate, systolic and diastolic blood pressure, Sokolov-Lyon voltage criteria, and unstable angina type (new-onset or progressive). 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引用次数: 0

摘要

不稳定型心绞痛分为新发心绞痛、进行性心绞痛和静止性心绞痛。尽管止血在包括不稳定型心绞痛在内的冠状动脉疾病的发病机制中起着至关重要的作用,但关于上述不稳定型心绞痛的纤溶参数的特殊性的资料有限。我们的研究旨在探讨新发进行性不稳定型心绞痛患者与稳定型心绞痛患者的纤溶状态在病史资料、心电图和血流动力学特征方面是否存在差异。在我们的横断面研究中,我们招募了93例冠状动脉疾病患者(平均年龄62.32(6.94)岁),41例男性(44.1%))。将患者分为3组:稳定期心绞痛患者(22例)(对照组)、新发不稳定型心绞痛患者(21例)和进行性不稳定型心绞痛患者(50例)。两组的基线特征具有可比性。在治疗开始前采集血样。采用酶联免疫吸附法测定组织型纤溶酶原激活剂和1型纤溶酶原激活剂抑制剂的浓度。我们在入院部登记了14点,特别是年龄、性别、体重指数、吸烟、心血管疾病家族史、st段抑郁、t波变异性、心律失常、左束支阻塞、心率、收缩压和舒张压、Sokolov-Lyon电压标准和不稳定型心绞痛(新发或进行性)。在比较了调查组间的纤溶参数浓度后,我们定义了观察到的14个参数中的主要独立预测因子,以创建评估纤溶参数浓度的最佳回归模型。各组组织型纤溶酶原激活剂(P<0.001)和1型纤溶酶原激活剂抑制剂(P<0.001)浓度差异有统计学意义。组织纤溶酶原激活剂浓度与ST段抑郁(r=0.344, P=0.001)、T波变异性(r=-0.233, P=0.02)、收缩压(r=-0.675, P<0.001)、舒张压(r=-0.655, P<0.001)、心率(r=-0.568, P<0.001)、临床不稳定型心绞痛亚组(r=-0.706, P<0.001)以及纤溶酶原激活剂抑制剂(1型)浓度与年龄(r=-0.560, P<0.001)、体重指数(r=-0.249, P=0.049)相关。st段压低(r=0.542, P<0.001)、心律失常(r=0.210, P=0.03)、收缩压(r=0.310, P=0.04)和临床不稳定型心绞痛亚组(r=-0.406, P<0.001)。组织型纤溶酶原激活剂及其抑制剂评估的最佳回归模型包括收缩压、心率、不稳定型心绞痛亚组(R2adj)。= 65.0%, P<0.001)和收缩压,不稳定心绞痛亚组(R2adj。= 42.7%, P<0.001)。因此,不稳定型心绞痛临床类型的纤溶状态在观察到的基线临床、心电图和血流动力学参数上存在显著的独立差异。这一发现证实了布劳恩瓦尔德不稳定心绞痛分类的实用性。
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Some fibrinolytic parameters in coronary artery disease patients: focus on unstable angina subgroups
Unstable angina is classified into new-onset, progressive, and angina at rest. Though hemostasis plays a crucial role in the pathogenesis of coronary artery disease, including unstable angina, limited data exist regarding peculiarities of fibrinolytic parameters in the above-mentioned types of unstable angina. Our study aims to investigate if there is a difference in the fibrinolytic state between the groups of patients with new-onset, progressive unstable angina in comparison with stable angina patients depending on medical history data, electrocardiographic and hemodynamic features. In our cross-sectional study, we recruited 93 coronary artery disease patients (mean age 62.32 (6.94) years, 41 males (44.1%)). They were divided into 3 groups: stable angina patients (n=22) (control), new-onset unstable angina patients (n=21), and progressive unstable angina patients (n=50). The groups were comparable by baseline characteristics. Blood samples were obtained before treatment onset. The concentrations of tissue plasminogen activator and inhibitor of plasminogen activator (type 1) were measured by the ELISA method. We registered 14 points at the admission department, particularly age, sex, body mass index, smoking, presence of the family history of cardiovascular disorders, ST-segment depression, T-wave variability, arrhythmias, left bundle branch blockage, heart rate, systolic and diastolic blood pressure, Sokolov-Lyon voltage criteria, and unstable angina type (new-onset or progressive). After comparison of fibrinolytic parameters’ concentrations among groups under investigation, we defined the main independent predictors among observed 14 parameters to create optimal regression models for assessment of fibrinolytic parameters concentrations. The groups under investigation differ significantly in concentration of tissue plasminogen activator (P<0.001) and inhibitor of plasminogen activator (type 1) (P<0.001). The tissue plasminogen activator concentration correlated significantly with ST depression (r=0.344, P=0.001), T wave variability (r=-0.233, P=0.02), systolic blood pressure (r=-0.675, P<0.001), diastolic blood pressure (r=-0.655, P<0.001), heart rate (r=-0.568, P<0.001) and clinical unstable angina subgroups (r=-0.706, P<0.001) as well as plasminogen activator inhibitor (type 1) concentration associated with age (r=-0.560, P<0.001), body mass index (r=-0.249, P=0.049), ST-segment depression (r=0.542, P<0.001), arrhythmia (r=0.210, P=0.03), systolic blood pressure (r=0.310, P=0.04), and clinical unstable angina subgroups (r=-0.406, P<0.001). An optimal regression models for tissue plasminogen activator and its inhibitor assessment included systolic blood pressure, heart rate, unstable angina subgroup (R2adj. = 65.0%, P<0.001) and systolic blood pressure, unstable angina subgroup (R2adj. = 42.7%, P<0.001), respectively. Thus, fibrinolytic state among unstable angina clinical types differs significantly independently on observed baseline clinical, electrocardiographic and hemodynamic parameters. This finding confirms the utility of Braunwald unstable angina classification.
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