Correlation study of gamma-glutamyl transferase/high density lipoprotein cholesterol ratio,neutrophil/lymphocyte ratio and coronary heart disease
10.3760/cma.j.cn101721-20210323-00050
- VernacularTitle:γ-谷氨酰转移酶/高密度脂蛋白胆固醇比率和中性粒细胞/淋巴细胞比率与冠心病的相关性研究
- Author:
Yazhu WANG
1
;
Yunfei GUO
;
Ying ZHANG
;
Weichao SHAN
;
Wanglexian SUN
;
Fei SHI
;
Haoran ZHANG
;
Wenping XUE
Author Information
1. 承德医学院附属医院心脏内科 067000
- Keywords:
Coronary heart disease;
Gamma-glutamyl transferase;
High density lipoprotein cholesterol;
Neutrophil/lymphocyte ratio;
Influencing factors;
Diagnosis
- From:
Clinical Medicine of China
2021;37(6):488-495
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the correlation between gamma-glutamyl transferase/high-density lipoprotein cholesterol ratio (GHR), neutrophil/lymphocyte ratio (NLR) and coronary heart disease (CHD), and evaluated its pathogenic risk and predictive value for CHD.Methods:A total of 694 patients admitted to our hospital from December 2017 to December 2018 for suspected CHD and coronary angiography were selected. According to the results of coronary angiography,the patients were divided into CHD group ( n=527) and non-CHD group ( n=167). The clinical data of all patients were recorded. Gamma-glutamyl transferase (GGT), high-density lipoprotein cholesterol (HDL-C) and other biochemical indicators were recorded. Neutrophils, lymphocyte count and other hematological indicators were recorded. GHR, NLR and Gensini scores of the patients were calculated. Clinical data and GHR, NLR and other indicators were compared between the two groups. Receiver operating characteristic curve (ROC) was used to evaluate the predictive value of GHR, NLR in CHD, and to determine the optimal cut-off value; Logstic regression analysis was used to investigate the risk factors of CHD.Spearman correlation analysis was used to analyze the correlation between serum OPN, OPG and Gensini score in patients with CHD. Results:The GHR and NLR were 32.59(21.05, 48.24) and 3.53(2.18, 8.46) significantly higher in the CHD group than in the non-CHD group 16.56(10.07, 25.21) and 2.20(1.45, 3.28) respectively, with statistically significant differences ( Z=11.094, 9.055, P<0.05). ROC curve analysis showed that the AUC of NLR and MLR in diagnosing CHD was 0.785 and 0.732( P<0.05). When the critical values of GHR and NLR respectively were 19.805 and 2.678, respectively, the diagnostic efficiency of CHD was the highest, and the sensitivity and specificity were 79.30%, 62.90% and 63.80%, 68.30%, and the AUC of GGT in diagnosing CHD was 0.628. When the critical value was 19.500, the sensitivity and specificity were 80.50% and 39.50%, respectively,the AUC of GHR was greater than that of GGT ( Z=12.973, P<0.05). Multivariate Logistic regression analysis showed that Smoking ( OR=2.887, 95% CI:1.850-4.505, P<0.05), hypertension ( OR=2.009, 95% CI: 1.311-3.080, P<0.05), fasting plasma glucose ( OR=1.109, 95% CI:1.034-1.189, P<0.05), age ≥60 years ( OR=1.567, 95% CI:1.179-2.415, P<0.05), NLR ≥2.687 ( OR=3.152, 95% CI:2.066-4.808, P<0.05) and GHR ≥19.805 ( OR=4.768, 95% CI:3.131-7.262, P<0.05) was an independent risk factor for CHD. After gradually adjustment for risk factors such as smoking, hypertensive, fasting plasma glucose, age ≥60 years and NLR ≥2.687, GHR ≥19.805 was still an independent risk factor for coronary heart disease(OR and 95% CI were 4.620 (3.049-7.000), 4.768 (3.131-7.262), 6.567 (4.408-9.810), 4.768 (3.131-7.262), 4.768 (3.131-7.262), respectively; all P<0.001). Spearman correlation analysis showed that GHR and NLR were positively correlated with Gensini score ( r=0.312, 0.394; all P<0.05). Conclusion:GHR and NLR were positively correlated with the severity of coronary artery disease, which is of significance in the diagnosis of coronary heart disease. NLR ≥2.687 and GHR ≥19.805 were independent risk factors for CHD. GHR was superior to GGT and HDL-C alone in the diagnosis of CHD,and has certain clinical application value
