【Abstract】 Objective To obtain the plasma protein fingerprints of HBVrelated severe hepatitis patients with different clinical outcomes and healthy people, screen out differential proteins associated with the prognosis of severe hepatitis, and establish the prediction model using these differential proteins and provide the basis for the prognosis of severe hepatitis. Methods Plasma specimens of patients with HBVrelated severe hepatitis and normal healthy human were detected by SELDITOFMS,and the plasma protein fingerprints were obtained with CM10.Results 57 differently expressed protein peaks were detected by the analysis of Biomarker Wizard software between HBVrelated severe hepatitis patients and healthy controls.The decision tree classification model was composed of 5 discriminative protein peaks selecting from survival group and death group. These differential protein peaks were M 3492_79, M 5649_11, M 3936_56, M 7568_86 and M 8601_12. The sensitivity of the decision tree model to the prognosis of patients with HBVrelated severe hepatitis was 7200%. The specificity and veracity were 10000% and 80%. Conclusion SELDITOFMS can screen out differential proteins associated with the prognosis of severe hepatitis. It is important to use those protein peaks to establish the classification tree model for the clinical outcomes of severe hepatitis.