The Predictive Value Of Ultrasound Transient Elastography And NFI In Esophageal Varices Bleeding And Ascites Due To Cirrhosis

Objective:To investigate the application value of liver stiffness measure(LSM),Novel Fibrosis Index(NFI),Fibrosis Index(FI),Fibrosis Cirrhosis Index(FCI),Age-Platelet Index(API),Aspartate aminotransferase-to-Platelet Ratio Index(APRI),FIB-4 index,Pohlscore score,BARD score and NFS score in the noninvasive diagnosis of esophageal varices(EV),gastroesophageal varices bleeding and ascites due to cirrhosis.Methods:A total of 244 patients with liver cirrhosis diagnosed in Shanxi Bethune Hospital from September 2015 to September 2021 were selected.All patients underwent upper gastrointestinal endoscopy,liver stiffness measure(LSM),alanine aminotransferase(ALT),aspartate aminotransferase(AST),platelet(PLT),serum bilirubin,serum albumin and alkaline phosphatase.Liver stiffness measure(LSM),Novel Fibrosis Index(NFI),Fibrosis Index(FI),Fibrosis Cirrhosis Index(FCI),Age-Platelet Index(API),Aspartate aminotransferase-to-Platelet Ratio Index(APRI),FIB-4 index,Pohlscore score,BARD score and NFS score were used to predict the degree of EV in patients with liver cirrhosis,the ability to diagnose gastroesophageal varices bleeding within 6 months after liver cirrhosis and ascites within 6 months after liver cirrhosis.Results:1.LSM had the best diagnostic value for predicting moderate and severe EV,and had the best diagnostic value for predicting moderate and severe EV.The AUC value was0.812,the threshold was 25.85,the sensitivity was 0.678,and the specificity was 0.851.FI followed by AUC was 0.780,the threshold was 3.265,the sensitivity was 0.923,and the specificity was 0.579.The binary logistic regression model of LSM + FI for predicting moderate and severe EV was 0.290 * LSM + 0.852 * FI-10.091,and the AUC value was 0.822.The sensitivity was 0.764 and the specificity was 0.798.2.LSM had the best diagnostic value for predicting the occurrence of esophageal and gastric vein bleeding within 6 months after liver cirrhosis,AUC value was 0.802,threshold value was 27.55,sensitivity was 0.657,specificity was 0.868,APRI and FIB-4followed,AUC value was 0.786.The binary logistic regression model of LSM + APRI index for predicting esophageal and gastric vein bleeding was 0.282 * LSM + 0.354 *FIB-4-9.263,AUC value was 0.833,sensitivity was 0.829,specificity was 0.776.3.LSM had the best diagnostic value for predicting the occurrence of cirrhotic ascites within 6 months after liver cirrhosis,AUC values were 0.829,threshold value was24.06,sensitivity was 0.678,specificity was 0.851,NFI followed,AUC value was 0.769.The binary logistic regression model of LSM + NFI index for predicting cirrhotic ascites was 0.267 * LSM + 0.000021 * NFI-6.565,AUC value was 0.835,sensitivity was 0.863,specificity was 0.758.Conclusion:LSM combined with FI has a good application value in predicting the degree of EV in patients with liver cirrhosis.LSM combined with FIB4 has a high diagnostic value for predicting the occurrence of esophageal and gastric fundus vein bleeding within 6months after liver cirrhosis.LSM combined with NFI can better predict the occurrence of liver cirrhosis ascites within 6 months after liver cirrhosis.LSM combined with FI,LSM combined with FIB4,LSM combined with NFI can be initially composed of a non-invasive liver cirrhosis complication assessment system for clinical promotion.When there is no instantaneous elastography detection instrument.Serological indicators FI,FIB-4 and NFI can also be used separately to predict esophageal varices,esophageal vein rupture bleeding and ascites.