二维斑点追踪分层应变参数联合实验室指标预测急性冠状 动脉综合征患者PCI术后发生主要不良心血管事件的 临床价值
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1.贵州医科大学医学影像学院;2.贵州省安顺市人民医院超声科

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国自科;国家自然科学基金项目(82360354);贵州省科技厅基金(黔科合基础-ZK[2022]一般359); 自然科学,贵州省卫生健康委员会基金(No.gzwkj2023-211)


The Predictive Value of Combined Biochemical Markers and Left Ventricular Longitudinal Layer-Specific Strain for Adverse Cardiovascular Events in ACS Patients After PCI
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    摘要:

    目的 比较不同生化指标联合左室纵向心肌分层应变对急性冠状动脉综合征(ACS)患者经皮冠状动脉介入治疗(PCI)后发生主要不良心血管事件(MACE)的预测价值。方法 前瞻性选取2022年9月至2023年10月于贵州省安顺市人民医院首次行PCI术的ACS患者151例,根据患者出院后1年有无MACE进行分组,将患者分为MACE组36例,无MACE组115例,收集两组患者术前生化指标;利用二维斑点追踪成像技术(2D-STI),分析左室心内膜下、心肌中层、心外膜下心肌的整体纵向应变,即GLSendo、GLSmid、GLSepi,并计算跨壁应变梯度(ΔGLS),比较两组上述参数的差异,结合二元logistic回归分析MACE发生的影响因素,采用ROC曲线评估不同生化指标、心肌分层纵向应变参数及联合对ACS患者PCI后发生MACE的预测价值。结果 与无MACE组相比,MACE组NT-proBNP、hs-CRP较高,GLSendo、GLSmid、GLSepi、ΔGLS显著降低(P<0.01)。二元Logitics回归分析显示,NT-proBNP、hs-CRP、GLSendo是ACS患者PCI后MACE发生的独立影响因素(P<0.05)。NT-proBNP、hs-CRP、GLSendo单独及GLSendo分别联合NT-proBNP、hs-CRP预测ACS患者PCI后MACE发生的AUC分别为0.684(0.584~0.783)、0.705(0.611~0.799)、0.787(0.719~0.914)、0.835(0.743~0.926)、0.841(0.749~0.933),GLSendo、NT-proBNP、hs-CRP三者联合预测ACS患者PCI后MACE发生的AUC为0.855(0.769~0.941)。 结论 NT-proBNP、hs-CRP、GLSendo三者均可预测ACS患者PCI后发生MACE,GLSendo、NT-proBNP、hs-CRP三者联合时预测性能最佳。 【关键词】二维斑点追踪分层应变技术;不良心血管事件;急性冠状动脉综合征;联合预测

    Abstract:

    Objective To compare the predictive value of combined biochemical markers and left ventricular longitudinal layer-specific strain for major adverse cardiovascular events (MACE) in patients with acute coronary syndrome (ACS) after percutaneous coronary intervention (PCI).Methods In this prospective study, 151 ACS patients who underwent their first PCI at Anshun People''s Hospital between September 2022 and October 2023 were selected. Patients were grouped based on whether they experienced MACE within one year post-discharge: 36 in the MACE group and 115 in the non-MACE group. Preoperative biochemical markers were collected, and two-dimensional speckle tracking imaging (2D-STI) was used to analyze global longitudinal strain (GLS) of the left ventricular endocardium (GLSendo), mid-myocardium (GLSmid), and epicardium (GLSepi), as well as the transmural strain gradient (ΔGLS). Differences in these parameters between the two groups were compared, and binary logistic regression was used to analyze factors influencing MACE occurrence. The predictive value of different biochemical markers, myocardial layer-specific longitudinal strain parameters, and their combination for MACE occurrence after PCI in ACS patients was evaluated using ROC curves.Results Compared to the non-MACE group, the MACE group had significantly higher NT-proBNP and hs-CRP levels, while GLSendo, GLSmid, GLSepi, and ΔGLS were significantly lower (P < 0.01). Binary logistic regression analysis showed that NT-proBNP, hs-CRP, and GLSendo were independent predictors of MACE after PCI in ACS patients (P < 0.05). The areas under the ROC curve (AUC) for predicting MACE with NT-proBNP, hs-CRP, GLSendo alone, GLSendo combined with NT-proBNP and hs-CRP were 0.684 (0.584–0.783), 0.705 (0.611–0.799), 0.787 (0.719–0.914), 0.835 (0.743–0.926) and 0.841 (0.749–0.933), The combined prediction of GLSendo, NT-proBNP, and hs-CRP for MACE occurrence after PCI in ACS patients resulted in an AUC of 0.855 (0.769–0.941).Conclusions NT-proBNP, hs-CRP, and GLSendo can each predict the occurrence of MACE after PCI in ACS patients, with the best predictive performance achieved when the three are combined. 【Keywords】 Two-dimensional speckle tracking layer-specific strain; adverse cardiovascular events; acute coronary syndrome; combined prediction.

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姜柳,李松,刘周瑞,宋丹丹,赵丽娜,张蓓,李莎.二维斑点追踪分层应变参数联合实验室指标预测急性冠状 动脉综合征患者PCI术后发生主要不良心血管事件的 临床价值[J].临床超声医学杂志,2025,27(5):

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  • 收稿日期:2024-10-28
  • 最后修改日期:2024-12-11
  • 录用日期:2025-01-03
  • 在线发布日期: 2025-05-29
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