Evaluation of risk factors for hepatic encephalopathy in patients with acute-on-chronic hepatitis B liver failure using artificial neural network
LIU Bao-rong, FANG Jian-kai, LIN Ming-hua, GAO Hai-bing, PAN Chen.
2017, 22(12):
1085-1089.
Asbtract
(
207 )
PDF (1064KB)
(
500
)
References |
Related Articles |
Metrics
Objective To investigate the value of artificial neural network (ANN) in evaluating the risk factors of hepatic encephalopathy in patients with hepatitis B virus - related acute-on-chronic liver failure (HBV-ACLF).Methods In this retrospective study, 479 patients with HBV-ACLF were enrolled. Sex, age, diabetes, celiac infection,pulmonary infection, upper gastrointestinal hemorrhage, albumin, globulin, total bilirubin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transpeptidase, cholinesterase, total cholesterol, potassium, sodium, creatinine, prothrombin time international normalized ratio (INR), white blood cell (WBC), hemoglobin (HGB), platelet(PLT), alpha-fetoprotein and HBV DNA were analyzed with univariate analysis for screening the significant risk factors for hepatic encephalopathy. Then the ANN model and the logistic regression model were used to determine the risk factors by multivariate analysis. The area under the receiver operating characteristic (ROC) curve (AUC) were used to evaluate the value of ANN model and logistic regression model.Results The ANN model indicated that risk factors of hepatic encephalopathy in patients with HBV-ACLF were INR,WBC, HGB, age, sodium, total bilirubin, creatinine, AFP, celiac infection, upper gastrointestinal bleeding and pulmonary infection sequentially in turn. The logistic regression model showed that INR (B=0.45, P<0.001,OR=1.566), WBC (B=0.12, P<0.001,OR=1.125), HGB (B=-0.01, P=0.015,OR=0.987), and age (B=0.02, P=0.026,OR=1.021) were the significant risk factors. The AUC of the ANN model and logistic model were 0.881±0.016 and 0.825±0.020 (P=0.029), respectively.Conclusion ANN model might have a powerful clinic value in evaluating risk factors of hepatic encephalopathy in patients with HBV-ACLF, which revealed that higher INR, higher WBC, lower HGB, and older age were the significant risk factors of hepatic encephalopathy.