Development of a prognostic factors model for severe hepatitis

Objective To generate a prognostic factors model for severe hepatitis.Methods The clinical data of 145 in-patients with severe hepatitis who had been treated in the Eighth Affiliated Hospital of Guangxi Medical University from June 2008 to June 2011 were retrospectively analyzed.Logistic regression analysis was used to develop a prognostic factors model.Results Among the 145 patients, 54 recovered and 91 died (case fatality rate: 62.8%) .Logistic regression analysis identified hepatic encephalopathy, ascites, creatinine, ammonia, and prothrombin activity as independent prognostic factors of severe hepatitis.Conclusion A prognostic factors model composed of hepatic encephalopathy, ascites, creatinine, ammonia, and prothrombin activity, can accurately predict the short-term prognosis of patients with severe hepatitis.