The diagnostic value of Essen stroke risk score combined with neutrophil lymphocyte ratio in coronary heart disease
10.3760/cma.j.issn.1008-6706.2020.24.017
- VernacularTitle:Essen卒中风险评分量表联合中性粒细胞/淋巴细胞比值对冠心病的诊断价值
- Author:
Xiaoxia ZHU
1
;
Jingjing ZHANG
;
Erli YANG
;
Wen ZHANG
;
Jianming ZHANG
;
Chandong DING
Author Information
1. 安徽医科大学第二附属医院老年心血管内科，合肥 230601
- From:
Chinese Journal of Primary Medicine and Pharmacy
2020;27(24):3019-3024
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the diagnostic value of Essen stroke risk score(ESRS) combined with neutrophil lymphocyte ratio(NLR) in coronary heart disease(CHD).Methods:From July 1, 2015 to June 30, 2019, patients who were hospitalized in the Second Affiliated Hospital of Anhui Medical University for suspected CHD and underwent coronary angiography were selected as the study objects.According to the results of coronary angiography, these patients were divided into CHD group (stenosis rate ≥ 50%) and control group(stenosis rate<50%). The clinical, laboratory and angiographic data of the two groups were collected, including NLR, ESRS and coronary narrow degree integral(Gensini integral method). Logistic regression model and receiver operator characteristic(ROC) were used to evaluate the diagnostic value of ESRS combined with NLR in CHD.Results:During the study period, 325 patients were enrolled, including 219 CHD patients and 106 controls.The age, hypertension, diabetes mellitus, peripheral artery disease, ESRS, NLR and fasting blood glucose levels in the CHD group were significantly higher than those in the control group(all P<0.05). Spearman correlation analysis showed that ESRS( r=0.515, P<0.001) and NLR( r=0.250, P<0.001) were positively correlated with coronary Gensini score.Two logistic regression models were established, where model 1 was logit(P1)=-2.072+ 0.566×ESRS+ 0.299×NLR+ 0.173×fasting blood glucose(the diagnostic accuracy rate was 71.7%) and model 2 was logit(P2)=-1.169+ 0.594×ESRS+ 0.302×NLR(the diagnostic accuracy rate was 70.8%). There was no significant difference in the diagnostic accuracy between the two models( P=0.499). Finally, logistic regression model 2 was selected as the joint diagnostic model.The area under curve of ESRS, NLR and logistic regression model 2 was 0.713, 0.634 and 0.736, respectively, and the difference was statistically significant(all P<0.05). The diagnostic threshold of ESRS was 2, and the diagnostic threshold of NLR was 2.74.The 95% CI of the joint diagnostic model 2 was (0.684, 0.783), which showed a sensitivity of 60.27% and a specificity of 78.30%.This model was superior to the diagnostic efficacy of ESRS( P=0.047) and NLR( P<0.001). Conclusion:The joint diagnostic model of ESRS combined with NLR is superior to the single index in the diagnosis of CHD, which may thus be used to predict the occurrence of CHD.
