夏梦远, 徐涛良, 倪润泽, 张静, 高玉, 冯俊. CRP/ALB与NE/HDL预测冠状动脉病变的价值研究[J]. 心脏杂志, 2023, 35(4): 416-421. DOI: 10.12125/j.chj.202209050
    引用本文: 夏梦远, 徐涛良, 倪润泽, 张静, 高玉, 冯俊. CRP/ALB与NE/HDL预测冠状动脉病变的价值研究[J]. 心脏杂志, 2023, 35(4): 416-421. DOI: 10.12125/j.chj.202209050
    Meng-yuan XIA, Tao-liang XU, Run-ze NI, Jing ZHANG, Yu GAO, Jun FENG. Clinical value of serum C-reactive protein/albumin and neutrophil/high-density lipoprotein in predicting coronary artery disease[J]. Chinese Heart Journal, 2023, 35(4): 416-421. DOI: 10.12125/j.chj.202209050
    Citation: Meng-yuan XIA, Tao-liang XU, Run-ze NI, Jing ZHANG, Yu GAO, Jun FENG. Clinical value of serum C-reactive protein/albumin and neutrophil/high-density lipoprotein in predicting coronary artery disease[J]. Chinese Heart Journal, 2023, 35(4): 416-421. DOI: 10.12125/j.chj.202209050

    CRP/ALB与NE/HDL预测冠状动脉病变的价值研究

    Clinical value of serum C-reactive protein/albumin and neutrophil/high-density lipoprotein in predicting coronary artery disease

    • 摘要:
        目的  探讨血清C反应蛋白/白蛋白比值(CRP/ALB,CAR)、中性粒细胞/高密度脂蛋白比值(NE/HDL,NHR)在预测冠状动脉病变程度中的临床价值。
        方法  纳入2019年1月~2021年12月于合肥市第二人民医院心内科住院并行冠状动脉造影的患者共638例进行回顾性分析。根据造影结果,分为冠心病组(n=397)及对照组(n=241)。根据Gensini评分(GS)将冠心病组分为轻度病变组(GS<40,n=233)与重度病变组(GS≥40,n=164)。比较各组CAR、NHR有无差异,采用Spearman分析检验CAR、NHR与GS的相关性,采用Logistic回归分析筛选冠心病及冠脉严重病变的独立影响因素,采用ROC曲线分析CAR、NHR及二者联合对冠脉多支病变的预测价值。
        结果   冠心病组CAR、NHR高于对照组,冠脉严重病变组CAR、NHR高于轻度病变组(均P<0.01)。Spearman相关分析表明CAR、NHR均与GS呈正相关(rcar=0.422,rnhr=0.506,P<0.01)。ROC分析显示CAR、NHR及二者联合均对冠脉多支病变有预测价值,且二者联合时预测价值高于单个指标(P<0.05)。
        结论  CAR、NHR可作为冠状动脉病变程度的独立预测因素,可用于冠心病的诊断及病情评估。

       

      Abstract:
        AIM   To investigate the clinical value of serum C-reactive protein/albumin ratio (CRP/ALB, CAR) and neutrophil/high-density lipoprotein ratio (NE/HDL, NHR) in predicting the degree of coronary artery disease.
        METHODS  A total of 638 patients who underwent coronary angiography in the Department of Cardiology of Hefei Second People’s Hospital from January 2019 to December 2021 were retrospectively analyzed. According to their angiography results, the patients were divided into a coronary heart disease group (CHD, n=397) and a control group (n=241) and according to Gensini scores (GS), the coronary heart disease group was subdivided into severe lesion group (GS≥40, n=164) and a mild lesion group (GS<40, n=233). The differences in CAR and NHR were compared between the groups. Spearman analysis was used to test the correlation between CAR, NHR and GS, logistic regression was used to screen the independent factors of coronary heart disease and severe coronary lesions, and ROC curve was used to analyze the value of CAR, NHR and their combination in predicting multi-vessel disease.
        RESULTS  CAR and NHR in CHD group were higher than those in control group, CAR and NHR in severe lesion group were higher than those in mild lesion group (P<0.01). Spearman correlation analysis showed that CAR and NHR were positively correlated with GS (rcar=0.422, rnhr=0.506, P<0.01). ROC analysis showed that CAR, NHR and their combination had predictive value for multi-vessel disease, the area under the curve (AUC) of their combination was larger and the predictive efficiency was higher than those of a single index (P<0.05).
        CONCLUSION  CAR and NHR can be used as independent predictors of the severity of coronary artery disease and can be used in the diagnosis and evaluation of coronary heart disease.

       

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