| 王磊,干伟鹏,鲁大胜,杨凌飞.RBP4、SAA及CysC水平对AMI患者PCI术后发生HF的预测价值.[J].中南医学科学杂志.,2025,(6):995-998. |
| RBP4、SAA及CysC水平对AMI患者PCI术后发生HF的预测价值 |
| The predictive value of RBP4, SAA, and CysC levels for postoperative HF in AMI patients undergoing PCI |
| 投稿时间：2025-02-28 修订日期：2025-08-30 |
| DOI：10.15972/j.cnki.43-1509/r.2025.06.013 |
| 中文关键词: 急性心肌梗死 经皮冠状动脉介入术 心力衰竭 RBP4 SAA CysC |
| 英文关键词:AMI PCI HF RBP4 SAA CysC |
| 基金项目:安徽省高等学校科学研究(自然科学类)项目(2024AH051940) |
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| 中文摘要: |
| 目的探讨视黄醇结合蛋白4(RBP4)、血清淀粉样蛋白A(SAA)及半胱氨酸蛋白酶抑制剂C(CysC)水平对急性心肌梗死(AMI)患者经皮冠状动脉介入术(PCI)术后发生心力衰竭(HF)的预测价值。 方法选取本院接受PCI治疗的AMI患者76例,根据术后3个月是否发生HF分为发生组15例和未发生组61例。比较两组RBP4、SAA、CysC水平。采用Logistic回归分析AMI患者PCI术后发生HF的影响因素,ROC曲线分析RBP4、SAA、CysC预测AMI患者PCI术后发生HF的预测效能。绘制风险预警评分模型列线图并构建风险预测模型。 结果发生组RBP4、SAA、CysC水平均高于未发生组(P＜0.05)。多因素回归分析结果显示,RBP4、SAA、CysC是AMI患者PCI术后发生HF的影响因素。ROC曲线结果显示,RBP4、SAA、CysC联合预测AMI患者PCI术后发生HF的AUC值高于单项指标预测值(P＜0.05)。构建的风险预测模型具有较好的预测价值。 结论RBP4、SAA及CysC水平对AMI患者PCI术后发生HF具有较高的预测价值。 |
| 英文摘要: |
| AimTo explore the predictive value of retinol-binding protein 4 (RBP4), serum amyloid A (SAA), and cystatin C (CysC) levels for postoperative heart failure(HF) in acute myocardial infarction (AMI) patients undergoing percutaneous coronary intervention (PCI). MethodsTotally 76 AMI patients who received PCI treatment in our hospital were selected and divided into an occurrence group of 15 cases and a non-occurrence group of 61 cases based on whether HF occurred 3 months after surgery. The RBP4, SAA, and CysC levels between the two groups were compared. Logistic regression was used to analyze the influencing factors of HF in AMI patients after PCI, and ROC curve analysis was used to predict the efficacy of RBP4, SAA, and CysC in predicting HF in AMI patients after PCI. A column chart of the risk warning scoring model was drawn and a risk prediction model was constructed. ResultsThe levels of RBP4, SAA, and CysC in the occurrence group were higher than those in the non-occurrence group (P＜0.05). The results of multiple regression analysis showed that RBP4, SAA, and CysC were influencing factors for HF in AMI patients after PCI. The ROC curve showed that the AUC value of combining RBP4, SAA, and CysC to predict HF in AMI patients after PCI was higher than the predictive value of a single indicator (P＜0.05). The constructed risk prediction model has good predictive value. ConclusionThe levels of RBP4, SAA, and CysC have high predictive value for HF in AMI patients after PCI. |
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