Yuan Shuaishuai, Pu Tian, Wang Zheng, Li Lingling, Gao Po, Zhang Lianfa, Ma Yihao, Qi Qinshun, Fan Xizhen
Department of Emergency, the First Affiliated Hospital of University of Science and Technology of China, Hefei 230000, Anhui, China.
Department of Internal Medicine-Cardiovascular, the Affiliated Hospital of Anhui Medical University, Hefei 230601, Anhui, China.
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2022 Mar;34(3):274-279. doi: 10.3760/cma.j.cn121430-20211008-01441.
To investigate the correlation between neutrophil/lymphocyte ratio (NLR) combined with low-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio (LDL-C/HDL-C) and severity of coronary lesions in patients with acute coronary syndrome (ACS).
Patients who were diagnosed with ACS due to chest pain and received emergency coronary angiography in the First Affiliated Hospital of University of Science and Technology of China and the Affiliated Hospital of Anhui Medical University from January 2017 to June 2020 were enrolled in the final analysis. The data of gender, age, body mass index (BMI), past history, emergency blood routine indicators [neutrophil (NEU), lymphocyte (LYM), monocyte (MON), eosinophil (EOS), basophil (BAS), red blood cell (RBC), mean corpuscular volume (MCV), blood red cell distribution width (RDW), mean platelet volume (MPV), platelet volume distribution width (PDW)], blood lipid index [triglyceride (TG), total cholesterol (TC), HDL-C, LDL-C, very low-density lipoprotein cholesterol (VLDL-C)], and coronary angiography were collected. The results of coronary angiography were evaluated by the Gensini score. According to the Gensini score, the patients were divided into the control group (Gensini score = 0, 55 cases) and the study group (Gensini score > 0, 889 cases), and then the patients in the study group were divided into the low-Gensini-score group (Gensini score < 66, 419 cases) and the high-Gensini-score group (Gensini score ≥ 66, 470 cases). The differences in the general baseline data of the four groups were compared, and the correlation between the statistically significant data and the Gensini score was linearly analyzed, and then the combined diagnostic factors (NLR combined with LDL-C/HDL-C ratio) were obtained by Logistic regression analysis. The receiver operator characteristic curve (ROC curve) was used to evaluate the predictive value of NLR combined with LDL-C/HDL-C ratio in predicting the severity of coronary artery lesions in patients with ACS. Finally, multivariate linear regression analysis was used to establish the predictive model between NLR combined with LDL-C/HDL-C ratio and Gensini score.
A total of 944 patients were finally included. The differences in gender, age, BMI, hypertension, diabetes, smoking history, NEU, LYM, MON, EOS, RDW, TC, HDL-C, LDL-C, NLR, LDL-C/HDL-C ratio between the control group and the study group were statistically significant. The differences in BMI, hypertension, diabetes, smoking history, NEU, LYM, MON, EOS, TG, TC, HDL-C, LDL-C, NLR and LDL-C/HDL-C ratio between the low-Gensini-score group and the high-Gensini-score group were statistically significant. Linear regression analysis showed that compared with other indicators, the correlation between NLR, LDL-C/HDL-C ratio and Gensini score was stronger in the study group (r values were 0.634 and 0.663, respectively, both P < 0.05). Binary Logistic regression analysis of the indicators related to Gensini score showed that NEU, LYM, HDL-C and LDL-C were independent risk factors for coronary stenosis in patients with ACS [odds ratio (OR) were 0.189, 10.309, 13.993, 0.251, 95% confidence intervals (95%CI) were 0.114-0.313, 4.679-22.714, 3.402-57.559, 0.121-0.519, respectively, all P < 0.05]. ROC curve analysis showed that NLR combined with LDL-C/HDL-C ratio had higher predictive value in predicting the severity of coronary lesions in ACS patients [area under the ROC curve (AUC) was 0.952, 95%CI was 0.93-0.969], when the cutoff value was -3.152, the sensitivity was 98.20%, and the specificity was 81.60%. According to the results of multivariate linear regression analysis, the prediction model between NLR, LDL-C/HDL-C ratio and Gensini score was established, and the formula was Gensini score = -7.772+15.675×LDL-C/HDL-C ratio+8.288×NLR (R = 0.862).
There is a significant correlation between emergency NLR combined with LDL-C/HDL-C ratio and Gensini score in patients with ACS at admission, which has a certain predictive value for the severity of coronary artery stenosis in patients with ACS, and can be used as a predictor for evaluating the severity of coronary artery disease.
探讨中性粒细胞/淋巴细胞比值(NLR)联合低密度脂蛋白胆固醇/高密度脂蛋白胆固醇比值(LDL-C/HDL-C)与急性冠脉综合征(ACS)患者冠状动脉病变严重程度的相关性。
选取2017年1月至2020年6月在中国科学技术大学附属第一医院和安徽医科大学附属巢湖医院因胸痛诊断为ACS并接受急诊冠状动脉造影的患者进行最终分析。收集患者的性别、年龄、体重指数(BMI)、既往史、急诊血常规指标[中性粒细胞(NEU)、淋巴细胞(LYM)、单核细胞(MON)、嗜酸性粒细胞(EOS)、嗜碱性粒细胞(BAS)、红细胞(RBC)、平均红细胞体积(MCV)、红细胞分布宽度(RDW)、平均血小板体积(MPV)、血小板体积分布宽度(PDW)]、血脂指标[甘油三酯(TG)、总胆固醇(TC)、HDL-C、LDL-C、极低密度脂蛋白胆固醇(VLDL-C)]及冠状动脉造影结果。冠状动脉造影结果采用Gensini评分进行评估。根据Gensini评分,将患者分为对照组(Gensini评分为0,55例)和研究组(Gensini评分>0,889例),然后将研究组患者分为低Gensini评分组(Gensini评分<66,419例)和高Gensini评分组(Gensini评分≥66,470例)。比较四组患者一般基线资料的差异,对有统计学意义的数据与Gensini评分进行线性分析,然后通过Logistic回归分析得出联合诊断因子(NLR联合LDL-C/HDL-C比值)。采用受试者工作特征曲线(ROC曲线)评估NLR联合LDL-C/HDL-C比值对ACS患者冠状动脉病变严重程度的预测价值。最后,采用多元线性回归分析建立NLR联合LDL-C/HDL-C比值与Gensini评分之间的预测模型。
最终纳入944例患者。对照组与研究组在性别、年龄、BMI、高血压、糖尿病、吸烟史、NEU、LYM、MON、EOS、RDW、TC、HDL-C、LDL-C、NLR、LDL-C/HDL-C比值方面差异有统计学意义。低Gensini评分组与高Gensini评分组在BMI、高血压、糖尿病、吸烟史、NEU、LYM、MON、EOS、TG、TC、HDL-C、LDL-C、NLR及LDL-C/HDL-C比值方面差异有统计学意义。线性回归分析显示,与其他指标相比,研究组中NLR、LDL-C/HDL-C比值与Gensini评分的相关性更强(r值分别为0.634和0.663,均P<0.05)。对与Gensini评分相关的指标进行二元Logistic回归分析显示,NEU、LYM、HDL-C及LDL-C是ACS患者冠状动脉狭窄的独立危险因素[比值比(OR)分别为0.189、10.309、13.993、0.251,95%置信区间(95%CI)分别为0.114-0.313、4.679-22.714、3.402-57.559、0.121-0.519,均P<0.05]。ROC曲线分析显示,NLR联合LDL-C/HDL-C比值对ACS患者冠状动脉病变严重程度具有较高的预测价值[ROC曲线下面积(AUC)为0.952,95%CI为0.93-0.969],当截断值为-3.152时,灵敏度为98.20%,特异度为81.60%。根据多元线性回归分析结果,建立了NLR、LDL-C/HDL-C比值与Gensini评分之间的预测模型,公式为Gensini评分=-7.772+15.675×LDL-C/HDL-C比值+8.288×NLR(R=0.862)。
入院时ACS患者急诊NLR联合LDL-C/HDL-C比值与Gensini评分之间存在显著相关性,对ACS患者冠状动脉狭窄严重程度具有一定的预测价值,可作为评估冠状动脉疾病严重程度的预测指标。