血清LECT2、ADAMTS9水平与急性心肌梗死患者病情及预后的相关性研究

Correlations of serum LECT2 and ADAMTS9 levels with disease condition and prognosis of patients with acute myocardial infarction

  • 摘要:
    目的 探讨急性心肌梗死(AMI)患者血清白细胞衍生趋化因子2(LECT2)、A解聚素和金属蛋白酶及血小板反应蛋白基序9(ADAMTS9)水平与病情严重程度及预后的关系。
    方法 前瞻性选取2020年1月—2022年4月内蒙古自治区人民医院保健所老年功能科收治的112例AMI患者为AMI组, 并根据随访6个月主要不良心血管事件(MACE)发生情况,将AMI患者分为MACE组(n=30)和非MACE组(n=82)。选取同期60例健康体检者为对照组。采用酶联免疫吸附测定检测血清LECT2、ADAMTS9水平; 采用Pearson相关性分析探讨AMI患者血清LECT2、ADAMTS9水平与心功能指标的相关性; 采用Logistic回归分析探讨AMI患者发生MACE的影响因素; 采用受试者工作特征(ROC)曲线评价血清LECT2、ADAMTS9水平预测AMI患者发生MACE的价值。
    结果 AMI组血清LECT2、ADAMTS9水平高于对照组,差异有统计学意义(P < 0.001)。112例AMI患者随访6个月MACE发生率为26.79%(30/112)。MACE组血清LECT2、ADAMTS9水平高于非MACE组,差异有统计学意义(P < 0.001)。与非MACE组比较, MACE组冠状动脉病变支数、Killip分级较高,左室射血分数(LVEF)、左心室短轴缩短率(LVFS)、心输出量(CO)较低,差异有统计学意义(P < 0.05)。AMI患者血清LECT2、ADAMTS9水平与LVEF、LVFS、CO呈显著负相关(P < 0.001), 与Killip分级呈显著正相关(P < 0.001)。多因素Logistic回归分析显示, LECT2高、ADAMTS9高、Killip分级高是AMI患者发生MACE的危险因素(P < 0.001),LVEF高是保护因素(P < 0.001)。血清LECT2、ADAMTS9水平及二者联合预测AMI患者发生MACE的曲线下面积(AUC)分别为0.860、0.818、0.940, 二者联合预测的AUC大于血清LECT2、ADAMTS9水平单独预测的AUC(Z=4.186, P=0.002; Z=5.469, P < 0.001)。
    结论 AMI患者血清LECT2、ADAMTS9水平升高,与病情严重程度有关; LECT2、ADAMTS9联合预测AMI患者发生MACE具有潜在的应用价值。

     

    Abstract:
    Objective To investigate the relationships of serum levels of leukocyte cell-derived chemotaxin 2 (LECT2), A disintegrin and metalloproteinase with thrombospondin motifs 9 (ADAMTS9) with disease severity and prognosis in patients with acute myocardial infarction (AMI).
    Methods A total of 112 AMI patients admitted to Geriatric Function Department of Health Care Institute of the People's Hospital of Inner Mongolia Autonomous Region from January 2020 to April 2022 were prospectively selected as AMI group. Based on occurrence of major adverse cardiovascular events (MACE) during a 6-month follow-up, the AMI patients were further divided into MACE group (n=30) and non-MACE group (n=82). Sixty healthy individuals undergoing physical examinations during the same period were selected as control group. Enzyme-linked immunosorbent assay (ELISA) was used to detect serum levels of LECT2 and ADAMTS9. Pearson correlation analysis was employed to explore the relationships of serum levels of LECT2 and ADAMTS9 with cardiac function indicators in AMI patients.Logistic regression analysis was used to investigate influencing factors of MACE occurrence in AMI patients. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of serum levels of LECT2 and ADAMTS9 for MACE occurrence in AMI patients.
    Results The serum levels of LECT2 and ADAMTS9 in the AMI group were significantly higher than those in the control group (P < 0.001). The incidence of MACE during the 6-month follow-up in 112 AMI patients was 26.79% (30/112). The serum levels of LECT2 and ADAMTS9 in the MACE group were significantly higher than those in the non-MACE group (P < 0.001). Compared with the non-MACE group, the MACE group had a higher number of coronary artery lesions and a higher Killip classification, while left ventricular ejection fraction (LVEF), left ventricular fractional shortening (LVFS), and cardiac output (CO) were significantly lower (P < 0.05). Serum levels of LECT2 and ADAMTS9 in AMI patients were significantly negatively correlated with LVEF, LVFS, and CO, and significantly positively correlated with Killip classification (P < 0.001). Multivariate Logistic regression analysis showed that high LECT2, high ADAMTS9, and high Killip classification were risk factors for MACE occurrence in AMI patients, while high LVEF was a protective factor (P < 0.001). The areas under the curve (AUCs) for predicting MACE occurrence in AMI patients by serum levels of LECT2, ADAMTS9, and their combination were 0.860, 0.818, and 0.940, respectively. The AUC of the combined prediction was higher than that of the single-factor prediction by serum levels of LECT2 and ADAMTS9 (Z= 4.186, P=0.002; Z=5.469, P < 0.001).
    Conclusion Elevated serum levels of LECT2 and ADAMTS9 in AMI patients are associated with disease severity. Their combined prediction of MACE occurrence in AMI patients has potential application value.

     

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