Value of von Willebrand factor antigen-to-albumin ratio and glycocalicin index in predicting esophageal varices in hepatitis B cirrhosis
10.3969/j.issn.1001-5256.2022.12.013
- VernacularTitle:血管性血友病因子抗原与白蛋白比值和糖萼素指数评分对乙型肝炎肝硬化食管静脉曲张的预测价值
- Author:
Caijun HAN
1
;
Yuan HUANG
2
;
Bin NIAN
3
;
Meihua PIAO
1
Author Information
1. Department of Medical Laboratory, The Affiliated Hospital of Yanbian University, Yanji, Jilin 133000, China
2. Department of Gastroenterology, The Affiliated Hospital of Yanbian University, Yanji, Jilin 133000, China
3. Department of Ultrasonography, The Affiliated Hospital of Yanbian University, Yanji, Jilin 133000, China
- Publication Type:Original Articles_Liver Fibrosis and Liver Cirrhosis
- Keywords:
Hepatitis B;
Liver Cirrhosis;
Esophageal and Gastric Varices
- From:
Journal of Clinical Hepatology
2022;38(12):2750-2754
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the clinical value of von Willebrand factor antigen-to-albumin ratio (VAR) score and glycocalicin index (GCI) score in predicting the development and classification of esophageal varices in comparison with von Willebrand factor antigen-to-platelet ratio (VITRO) score. Methods A retrospective analysis was performed for 146 patients with hepatitis B cirrhosis who were hospitalized from April 2020 to December 2021, and esophageal varices (EV) was diagnosed and graded with the results of gastroscopy as the standard. VITRO, VAR, and GCI were calculated, and their association with EV was analyzed. The t -test was used for comparison of normally distributed continuous data between two groups, and a one-way analysis of variance was used for comparison between multiple groups; the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups. The chi-square test was used for comparison of categorical data between groups. A logistic regression model analysis was used to identify the predictive factors for EV, and the receiver operating characteristic (ROC) curve was used to evaluate the diagnostic accuracy of each index. Results Gastroscopy showed 54 patients without EV, 30 with mild EV, 33 with moderate EV, and 29 with severe EV. The patients with EV had significantly higher VAR and GCI scores than those without EV ( t =-5.819 and -3.449, both P < 0.001). The linear regression analysis showed that VAR and GCI increased with the increase in EV grade ( P =0.002 and 0.005). The multivariate logistic regression analysis showed that VAR (odds ratio [ OR ]=1.46, 95% confidence interval [ CI ]: 1.21-1.75, P < 0.001) and GCI ( OR =1.84, 95% CI : 1.22-2.77, P =0.003) were independently associated with EV. VITRO score had an area under the ROC curve (AUC) of 0.718 in diagnosing EV and 0.863 in diagnosing severe EV, with the optimal cut-off values of 2.77 and 5.37, respectively. VAR and GCI had an AUC of 0.745 and 0.710, respectively, in diagnosing EV, with the optimal cut-off values of 8.88 and 1.70, respectively; VAR and GCI had an AUC of 0.755 and 0.787, respectively, in diagnosing severe EV, with the optimal cut-off values of 9.81 and 2.00, respectively. VAR combined with GCI had significantly better efficacy than VITRO in diagnosing EV ( P =0.009), with an AUC of 0.808, a sensitivity of 55.43%, and a specificity of 94.44%; VAR combined with GCI had an AUC of 0.869 in diagnosing severe EV, which was similar to VITRO ( P =0.421). Conclusion VAR and GCI scores are potential noninvasive markers for the prediction and risk stratification of EV in patients with hepatitis B cirrhosis.
