脉压指数联合动脉硬化指数对冠心病患者冠状动脉病变严重程度的预测价值
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作者单位:

(佛山市中医院心内科,广东省佛山市 528000)

作者简介:

彭毅,硕士,副主任医师,研究方向为冠心病,E-mail:pdvarw@163.com。通信作者赵华云,硕士,主任医师,研究方向为冠心病,E-mail:54pengyi@163.com。

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基金项目:

佛山市卫生健康局医学科研课题(20200240);广东省中医药局科研项目(20203009)


Predictive value of pulse pressure index combined with arteriosclerosis index on coronary artery disease severity in patients with coronary heart disease
Author:
Affiliation:

Department of Cardiology, Foshan Hospital of Traditional Chinese Medicine, Foshan, Guangdong 528000, China)

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    摘要:

    目的]探讨脉压指数(PPI)联合动脉硬化指数(AI)对冠心病患者冠状动脉病变严重程度的预测价值。 [方法]选取2019年1月—10月在佛山市中医院经冠状动脉造影(CAG)检查诊断为冠心病的150例患者,分为单支组(36例)、双支组(49例)、三支组(65例);同期行CAG后排除冠心病的患者50例纳入对照组。冠心病分型:稳定型心绞痛(SAP)患者37例、不稳定型心绞痛(UAP)患者42例、急性非ST段抬高型心肌梗死(NSTEMI)患者35例、急性ST段抬高型心肌梗死(STEMI)患者36例。比较各组PPI、AI水平差异,并分析冠心病患者冠状动脉病变严重程度的影响因素。Gensini评分与PPI、AI水平的相关性采用Pearson分析。PPI、AI预测冠状动脉病变严重程度的效能采用ROC曲线分析。 [结果]单支组、双支组及三支组PPI、AI水平依次增加(P<0.05)。SAP组、UAP组、NSTEMI组及STEMI组PPI、AI水平相比差异无统计学意义(P>0.05)。PPI、AI均与Gensini评分存在正相关(r=0.561、r=0.629,均P=0.000)。多因素Logistic回归显示,PPI、AI是冠心病发病的危险因素,PPI、AI以及Gensini评分是冠状动脉三支病变的影响因素(P<0.05)。PPI、AI预测冠心病的ROC曲线下面积(AUC)为0.809、0.899,PPI联合AI预测冠心病的AUC为0.937;PPI、AI分别预测冠状动脉三支病变的AUC为0.893、0.917,PPI联合AI预测冠状动脉三支病变的效能较大,AUC为0.969。 [结论]PPI、AI与冠心病患者冠状动脉病变严重程度密切相关,PPI联合AI对冠心病患者冠状动脉病变严重程度有较高的预测价值。

    Abstract:

    Aim To investigate the predictive value of pulse pressure index (PPI) combined with arteriosclerosis index (AI) on coronary artery disease severity in patients with coronary heart disease (CHD). Methods A total of 150 patients who were diagnosed with CHD after coronary angiography (CAG) in Foshan Hospital of Traditional Chinese Medicine from January 2019 to October 2019 were selected and grouped into single-branch group (36 cases), double-branch group (49 cases), and three-branch group (65 cases); fifty patients without CHD after CAG recurrently were included in the control group. CHD classification:37 cases in stable angina pectoris (SAP) group, 42 cases in unstable angina pectoris (UAP) group, 35 cases in non-ST segment elevation myocardial infarction (NSTEMI) group, ST segment elevation myocardial infarction (STEMI) group of 36 cases. The differences in PPI and AI levels among each groups were compared, and the influencing factors of coronary artery disease severity in CHD patients were analyzed. The correlation between Gensini score and PPI and AI level was analyzed by Pearson analysis. The efficacy of PPI and AI in predicting coronary artery disease severity was analyzed by ROC curve. Results The levels of PPI and AI in the single-branch group, double-branch group, and three-branch group increased sequentially (P<0.05). Compared with the SAP group, UAP group, NSTEMI group and STEMI group, there was no significant difference in PPI and AI levels (P>0.05). Both PPI and AI were positively correlated with Gensini score (r=0.561, r=0.629, both P=0.000). Multivariate Logistic regression showed that PPI and AI were the risk factors for CHD, and PPI, AI and Gensini score were the influencing factors of three-branch coronary artery disease (P<0.05). The area under curve (AUC) of PPI and AI to predict CHD was 0.809 and 0.899, respectively, and the AUC of PPI combined with AI to predict CHD was 0.937. The AUC of PPI and AI for predicting three-branch coronary artery disease was 0.893 and 0.917, respectively, the PPI combined with AI had higher efficacy in predicting three-branch coronary artery disease, with an AUC of 0.969. Conclusion PPI and AI are closely related to severity of coronary artery disease in CHD patients. PPI combined with AI has high predictive value for coronary artery disease severity in CHD patients.

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彭毅,陈伟强,黄嘉文,赵华云.脉压指数联合动脉硬化指数对冠心病患者冠状动脉病变严重程度的预测价值[J].中国动脉硬化杂志,2023,(1):63~69.

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  • 收稿日期:2022-06-02
  • 最后修改日期:2022-08-17
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  • 在线发布日期: 2022-12-26