医学检查与临床诊断

心电图参数对冠状动脉重度病变评估价值

  • 王苏萌 ,
  • 张芳芳 ,
  • 聂连涛 ,
  • 罗可心 ,
  • 李世锋
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  • 郑州大学第二附属医院 (郑州 450014 )

收稿日期: 2023-12-15

  网络出版日期: 2024-09-13

基金资助

河南省医学科技攻关计划联合共建项目(LHGJ20210392)

The value of electrocardiographic parameters in assessment of severe coronary artery lesions

  • Sumeng WANG ,
  • Fangfang ZHANG ,
  • Liantao NIE ,
  • Kexin LUO ,
  • Shifeng. LI
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  • The Second Affiliated Hospital,Zhengzhou University,Zhengzhou 450014,China

Received date: 2023-12-15

  Online published: 2024-09-13

摘要

目的 探讨心电图参数对冠心病患者冠状动脉重度病变评估价值。 方法 选取2022年1月至2023年9月郑州大学第二附属医院收治的冠心病患者364例,根据Gensini评分将患者分为重度病变组(n = 123)和非重度病变组(n = 241),比较两组患者基线资料和心电图参数差异。采用logistic回归分析重度病变的影响因素及心电图参数评估效能,绘制心电图参数评估重度病变列线图,计算心电图参数联合增量价值及评估重度病变的ROC曲线下面积。 结果 与非重度病变组相比,重度病变组年龄、肌酸激酶同工酶、氨基末端脑钠肽前体、QRS时限、额面QRS-T夹角大,吸烟、高血压、糖尿病、病理性Q波、左心室高电压、碎裂QRS波占比大,高密度脂蛋白胆固醇、射血分数低,差异有统计学意义(P < 0.05)。logistic回归分析显示病理性Q波(OR= 3.71,95%CI:1.93 ~ 7.15,P < 0.001)、左心室高电压(OR= 5.05,95%CI: 1.66 ~ 15.41,P = 0.004)、碎裂QRS波(OR= 2.17,95%CI: 1.14 ~ 4.11,P = 0.018)、额面QRS-T夹角(OR= 1.01,95%CI:1.00 ~ 1.02,P = 0.023)是重度病变的评估因素。心电图参数联合对重度病变增量价值:C-statistic增加0.09(95%CI: 0.02 ~ 0.16,P = 0.009)、NRI 0.37(95%CI: 0.20 ~ 0.55,P < 0.001)、IDI 0.12(95%CI: 0.08 ~ 0.17,P < 0.001)。ROC曲线显示心电图参数联合评估重度病变的AUC为0.79(95%CI: 0.74 ~ 0.84,P < 0.001),灵敏度为63.41%,特异度为85.89%。 结论 心电图参数(病理性Q波、左心室高电压、碎裂QRS波、额面QRS-T夹角)联合对重度病变评估具有一定临床价值。

本文引用格式

王苏萌 , 张芳芳 , 聂连涛 , 罗可心 , 李世锋 . 心电图参数对冠状动脉重度病变评估价值[J]. 实用医学杂志, 2024 , 40(17) : 2465 -2470 . DOI: 10.3969/j.issn.1006-5725.2024.17.019

Abstract

Objective To investigate the value of electrocardiographic parameters in assessing severe coronary artery lesions in patients with coronary artery disease. Methods A total of 364 patients with coronary heart disease admitted to the Second Affiliated Hospital, Zhengzhou University from January 2022 to September 2023 were selected as the subjects. The patients were divided into severe lesion group (n = 123) and non-severe lesion group (n = 241) based on the Gensini score. The two groups were compared in terms of baseline data and electrocardiographic parameters. Logistic regression was used to analyze the factors affecting severe lesions and the efficacy of ECG parameters assessment. A column-line plot of ECG parameters to assess severe lesions was created. The joint incremental value of ECG parameters and the area under the ROC curve for assessing severe lesions were calculated. Results The patients in the severe lesion group were elder in age and they showed significantly higher rates in creatine kinase isoenzyme, amino-terminal brain natriuretic peptide precursor, QRS time frame, frontal QRS-T pinch angle, smoking, hypertension, diabetes mellitus, pathologic Q waves, left ventricular hyper voltage, fragmented QRS waves, and significantly lower rates in low HDL cholesterol and ejection fraction, as compared to the non-severe lesion group(all P < 0.05). Logistic regression analysis showed that pathological Q waves (OR= 3.71, 95%CI: 1.93 ~ 7.15, P < 0.001), left ventricular hyper voltage (OR= 5.05, 95%CI:1.66 ~ 15.41, P = 0.004), fragmented QRS waves (OR= 2.17, 95%CI: 1.14 ~ 4.11, P = 0.018), and frontal QRS-T pinch angle (OR= 1.01, 95%CI:1.00 ~ 1.02, P = 0.023) were the factors for assessing severe lesions. The incremental value of combined ECG parameters for severe lesions: C-statistic 0.09 (95% CI: 0.02 ~ 0.16, P = 0.009), NRI 0.37 (95%CI: 0.20 ~ 0.55, P < 0.001), and IDI 0.12 (95%CI: 0.08 ~ 0.17, P < 0.001). The ROC curves showed an AUC of 0.79 (95%CI: 0.74 ~ 0.84, P < 0.001), a sensitivity of 63.41%, and a specificity of 85.89% for the combined assessment of severe lesions by ECG parameters. Conclusion The combined observations of electrocardiographic parameters such as pathologic Q waves, left ventricular hyper voltage, fragmented QRS waves, and frontal QRS-T pinch angle have an affirmativeclinical value in the assessment of severe lesions.

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