中性粒细胞百分比与白蛋白比值与冠状动脉狭窄程度的相关性

doi:10.3969/j.issn.1004-583X.2022.01.004

摘要/Abstract

摘要：

目的探究中性粒细胞百分比与白蛋白比值(neutrophil percentage-to -albumin rato, NPAR)与冠状动脉狭窄程度的关系。方法选取2020年11月至2021年7月于锦州市中心医院接受冠状动脉造影(coronary angiography, CAG)的患者406例,根据CAG结果将其分为冠心病组(322例)和非冠心病组(84例)。采用Gensini积分评价冠状动脉狭窄程度;采用多因素Logistic回归分析冠心病的独立影响因素;采用Spearman相关分析Gensini积分与NPAR的相关性;通过受试者工作特征(receiver operating characteristic, ROC)曲线评估NPAR对冠心病的预测价值。结果年龄、性别、高敏C反应蛋白、NPAR是冠心病的独立影响因素;Gensini积分与NAPR呈正相关(r=0.364,P<0.01);ROC曲线下面积为0.687(95%CI 0.632~0.741,P<0.05),NPAR截断值为1.6128,敏感度为50.3%,特异度为85.7%。结论 NPAR与冠状动脉狭窄程度正相关,对冠心病有一定的预测价值。

关键词: 冠心病, 冠状血管, 血清白蛋白, ROC曲线

Abstract:

Objective To explore the relationship between neutrophil percentage-to-albumin ratio (NPAR) and the degree of coronary artery stenosis. Methods A total of 406 patients who underwent coronary angiography (CAG) in Jinzhou Central Hospital from November 2020 to July 2021 were selected. They were divided into the non-CHD group (84 cases) and the CHD group (322 cases) as the CAG result. Gensini score was used to evaluate the degree of coronary artery stenosis. The independent risk factors for coronary heart disease and the correlation between Gensini score and NPAR were evaluate by Multivariate Logistic regression analysis and Spearman correlation analysis, respectively. Receiver operating characteristic (ROC) curve was drawed to assess the predictive value of NPAR for coronary heart disease. Results The independent risk factors for coronary heart disease are age, gender, high-sensitivity C-reactive protein, NPAR. Gensini score was positively correlated with NPAR (r=0.364, P<0.01); the areas under curve of the ROC curve was 0.687(95%CI 0.632-0.741, P<0.05), and the cutoff value, sensitivity, specificity of NPAR were 1.6128,50.3%, and 85.7%, respectively. Conclusion NPAR is positively correlated with the coronary artery stenosis degree, which has certain predictive value for coronary heart disease.

Key words: coronary disease, coronary vessels, serum albumin, ROC curve

中图分类号:

R541.4

陈曦, 江珊. 中性粒细胞百分比与白蛋白比值与冠状动脉狭窄程度的相关性[J]. 临床荟萃, 2022, 37(1): 26-29.

Chen Xi, Jiang Shan. Correlation analysis between neutrophil percentage-to-albumin ratio and degree of coronary artery stenosis[J]. Clinical Focus, 2022, 37(1): 26-29.

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链接本文: https://huicui.hebmu.edu.cn/CN/10.3969/j.issn.1004-583X.2022.01.004

https://huicui.hebmu.edu.cn/CN/Y2022/V37/I1/26

图/表 5

表1 两组一般资料比较

项目	冠心病组 (n=322)	非冠心病组 (n=84)	统计值	P值
年龄( $x -$ ±s,岁)	64.04±9.77	57.67±9.41	t=-5.268	0.000
男性[例(%)]	211(65.5)	42(50.0)	χ²=6.840	0.009
糖尿病史[例(%)]	87(27.0)	16(19.0)	χ²=2.236	0.135
高血压史[例(%)]	188(58.4)	42(50.0)	χ²=1.907	0.167
吸烟史[例(%)]	112(34.8)	20(23.8)	χ²=3.656	0.056
饮酒史[例(%)]	61(18.9)	11(13.1)	χ²=1.562	0.211
BMI( $x -$ ±s,kg/m²)	25.43±1.86	25.07±2.63	t=-1.841	0.066

表1 两组一般资料比较

项目	冠心病组 (n=322)	非冠心病组 (n=84)	统计值	P值
年龄( $x -$ ±s,岁)	64.04±9.77	57.67±9.41	t=-5.268	0.000
男性[例(%)]	211(65.5)	42(50.0)	χ²=6.840	0.009
糖尿病史[例(%)]	87(27.0)	16(19.0)	χ²=2.236	0.135
高血压史[例(%)]	188(58.4)	42(50.0)	χ²=1.907	0.167
吸烟史[例(%)]	112(34.8)	20(23.8)	χ²=3.656	0.056
饮酒史[例(%)]	61(18.9)	11(13.1)	χ²=1.562	0.211
BMI( $x -$ ±s,kg/m²)	25.43±1.86	25.07±2.63	t=-1.841	0.066

表2 两组主要实验室指标比较( x -±s)

项目	冠心病组(n=322)	非冠心病组(n=84)	统计值	P值
中性粒细胞百分比(%)	67.44±11.35	62.03±7.80	t=-4.124	0.000
淋巴细胞计数(×10⁹/L)	1.86±0.82	1.91±0.57	t=-1.916	0.055
血清白蛋白(g/L)	41.62±4.75	43.62±3.50	t=-3.591	0.005
肌酐(μmol/L)	67.02±15.44	63.80±14.29	t=-1.634	0.102
尿素(mmol/L)	5.72±2.83	5.37±1.38	t=-0.958	0.338
尿酸 (μmol/L)	314.58±87.92	317.90±100.33	t=0.299	0.765
总胆固醇(mmol/L)	4.72±1.15	4.78±0.96	t=-0.682	0.495
甘油三酯(mmol/L)	2.40±8.99	1.68±1.00	t=-0.963	0.336
高密度脂蛋白胆固醇(mmol/L)	1.17±0.30	1.23±0.29	t=-1.818	0.069
低密度脂蛋白胆固醇(mmol/L)	3.09±1.05	3.07±0.84	t=-0.073	0.942
高敏C反应蛋白(mg/L)	9.97±29.52	2.49±3.44	t=-4.766	0.000
NPAR	1.65±0.38	1.43±0.21	t=-5.046	0.000

表3 冠心病独立影响因素分析

因素	回归系数	标准误	Wald χ²值	P值	OR值	95%CI
因素	回归系数	标准误	Wald χ²值	P值	OR值	下限	上限
年龄	0.072	0.015	20.408	0.000	1.075	1.043	1.108
性别	1.116	0.295	14.266	0.000	3.052	1.710	5.445
高敏C反应蛋白	0.125	0.043	8.439	0.004	1.133	1.042	1.233
NPAR	1.542	0.473	10.624	0.001	4.674	1.849	11.813

图1 NPAR与Gensini积分相关性

图2 NPAR对冠心病的预测价值

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