title: [Prognostic evaluation of severe viral hepatitis].
abstract: The Cox's regression model is used for analysis of registered survival data of severe viral hepatitis. The final regression model showed six covariates, i.e. grade of coma, prothrombin time, the interval between jaundice to bleeding, the interval between jaundice to coma, LDH, and pathological scores as well as the recurrence frequency were associated with survival significantly. The final model can be presented as a "pocket chart" by which a prognostic index (PI) for a new subject can easily be obtained. By a simple graph, the PI can be translated to estimates of the probability of surviving within a given time and the median survival time. A small sample of prospective study showed the predicted survival length did not differ from the observed survival length significantly.
authors.affiliation: Department of Epidemiology, Third Military Medical University, Chongqing.
authors.forename: Y Z
authors.initials: YZ
authors.lastname: Wu
authors.forename: T J
authors.initials: TJ
authors.lastname: Leng
authors.forename: M D
authors.initials: MD
authors.lastname: Li
mesh_terms: D000704:Analysis of Variance; D005500:Follow-Up Studies; D006525:Hepatitis, Viral, Human / Q000401:mortality*; D006801:Humans; D008954:Models, Biological; D011379:Prognosis; D012044:Regression Analysis; D012307:Risk Factors; D015996:Survival Rate