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| 血浆致动脉粥样硬化指数对急性心肌梗死患者PCI术后主要心血管不良事件的预测价值 |
| The predictive value of plasma atherosclerotic index for major adverse cardiovascular events after PCI in patients with acute myocardial infarction |
| 投稿时间：2026-02-02 修订日期：2026-05-20 |
| DOI： |
| 中文关键词: 急性心肌梗死 血浆致动脉粥样硬化指数 经皮冠脉介入术 预测 不良心血管事件 |
| 英文关键词: cute myocardial infarction Plaque-induced atherosclerosis index Percutaneous coronary intervention Prediction Adverse cardiovascular events |
| 基金项目:基金名称:项目名称：高血压病继发器官器质性纤维化的分子机制研究，2024年度淮南联合大学安徽省级科学研究项目一览表(自然科学)项目编号:2024AH051717 基金名称:项目名称：传染病护理学，淮南联合大学2024年度校级质量工程项目，编号:XSZSFK2403 基金名称:课题名称:康复治疗技术专业教学创新团队，淮南联合大学2024年度校级质量工程项目，编号:XXTD2402 |
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| 中文摘要: |
| 目的 探究血浆致动脉粥样硬化指数（AIP）对急性心肌梗死（AMI）患者行经皮冠脉介入术（PCI）后出现主要不良心血管事件（MACE）风险的预测价值。方法 采用回顾性研究模式，选取在我院2020年1月至2023年12月期间采取PCI治疗，且随访24个月内发生MACE事件的患者45例作为MACE组，选取同期PCI治疗的AMI患者但24个月内未发生MACE事件的45例患者作为对照组。对比两组PCI后出院时AIP等实验室指标、病情资料、个人病史资料等并构建多因素模型及列线图预测模型，采用受试者工作特征曲线（ROC）分析AIP值单独预测MACE的价值，以及列线图预测模型预测MACE发生的价值。 结果 MACE组患者血尿酸水平、斑块总面积、斑块负荷、AIP值均显著的高于对照组，经统计学假设检验分析差异有显著性（P<0.05）。与对照组相比，MACE组患者血清ApoA1水平明显降低，组间差异经统计学分析具有显著性意义（P<0.05）。Logistic回归模型显示：合并房颤（OR=1.846）、既往具脑血管病史（OR=1.565）、斑块负荷越大（OR=1.829）、AIP值越大（OR=5.099）是AMI患者PCI后MACE发生的危险因素（P<0.05），血清ApoA1水平越高（OR=0.448）可降低AMI患者PCI后MACE发生的风险（P<0.05）。AIP值预测AMI患者PCI后MACE发生的ROC曲线下面积AUC=0.715，95%CI：0.667～0.782；列线图模型预测AMI患者PCI后MACE发生的ROC曲线下面积AUC=0.842，95%CI：0.810～0.896。结论 AIP与AMI患者PCI后MACE的发生具有密切关系，AIP结合病史及实验室指标构建预测模型对于预测MACE的发生具有较高价值。 |
| 英文摘要: |
| Objective To investigate the predictive value of the Atherogenic Index of Plasma (AIP) for the risk of Major Adverse Cardiovascular Events (MACE) in patients with Acute Myocardial Infarction (AMI) after Percutaneous Coronary Intervention (PCI). Methods This retrospective study selected 45 patients who underwent PCI at our hospital between January 2020 and December 2023 and experienced Major Adverse Cardiovascular Events (MACE) within 24 months of follow-up as the MACE group. A control group of 45 AMI patients who received PCI during the same period but did not experience MACE within 24 months was also selected. Laboratory indices such as the Atherogenic Index of Plasma (AIP) at discharge, clinical data, and personal medical history were compared between the two groups. A multivariate model and a nomogram prediction model were constructed. The value of AIP alone in predicting MACE was analyzed using Receiver Operating Characteristic (ROC) curves, as was the predictive value of the nomogram model for MACE occurrence. Results The serum uric acid level, total plaque area, plaque burden, and AIP value were all significantly higher in the MACE group compared to the control group, with the differences being statistically significant (P < 0.05). In contrast, the serum ApoA1 level was significantly lower in the MACE group, and this inter-group difference was also statistically significant (P < 0.05). The logistic regression model revealed that a history of atrial fibrillation (OR = 1.846), a previous cerebrovascular disease (OR = 1.565), a greater plaque burden (OR = 1.829), and a higher AIP value (OR = 5.099) were risk factors for MACE occurrence after PCI in AMI patients (P < 0.05). Conversely, a higher serum ApoA1 level (OR = 0.448) was associated with a reduced risk of MACE after PCI (P < 0.05). The area under the ROC curve (AUC) for the AIP value in predicting MACE after PCI in AMI patients was 0.715 (95% CI: 0.667-0.782). The AUC for the nomogram prediction model was 0.842 (95% CI: 0.810-0.896). Conclusion AIP is closely related to the occurrence of MACE in AMI patients after PCI. Constructing a predictive model by combining AIP with medical history and laboratory indicators has high value in predicting the occurrence of MACE. |
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