Risk factors and prognostic model for HBV-related subacute liver failure.

BACKGROUND

The prognosis for patients with chronic hepatitis B virus (HBV)-related subacute liver failure is poor. Thus, accurate prognostication would facilitate management and optimize liver allocation. This study aimed to explore the risk factors for HBV-related subacute liver failure and establish a risk model.

METHODS

A total of 192 patients with HBV-related subacute liver failure treated at the First Affiliated Hospital of Xi'an Jiaotong University during January 2018 to January 2019 were selected and divided into the survival group (n=113) and the death group (n=79) based on their status within 6 months. Patient information were collected, including age, sex, body mass index, complications, hepatitis B e antigen (HBeAg), hepatic encephalopathy, hepatorenal syndrome, infections, ascites, HBV-DNA, Model for End-Stage Liver Disease (MELD), liver function tests, international normalized ratio (INR), serum creatinine and total cholesterol. Binary logistic regression was employed to identify risk factors for risk model establishment. The predictive value of the risk model was assessed with a receiver operating characteristic (ROC) curve.

RESULTS

Compared with the survival group, the patient age, incidence of hepatic encephalopathy and hepatorenal syndrome, infection and ascites rate, MELD score, and alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), INR, and serum creatinine levels were significantly elevated, whereas the total cholesterol level was significantly decreased in the death group (all P<0.05). Patient age [odds ratio (OR) =1.11, P=0.03], hepatic encephalopathy (OR =8.31, P=0.02), infection (OR =4.27, P=0.005), ascites (OR =4.54, P=0.006), MELD score (OR =1.39, P<0.001), INR (OR =5.89, P=0.001), and total cholesterol (OR =0.31, P=0.002) were identified as prognostic factors affecting patient mortality. Although both the MELD score and the risk model established in the present study could differentiate patient outcomes, the area under the curve (AUC) (0.94 . 0.82, P<0.001) and sensitivity (91.1% 58.2%, P<0.001) of the established risk model were significantly higher than those of the MELD score.

CONCLUSIONS

Patient age, hepatic encephalopathy, infection, ascites, MELD score, INR, and total cholesterol level were independent prognostic factors. The prognostic model established based on these risk factors may have favorable predictive value.