title: [Evolution and prognosis in patients with liver cirrhosis. II. A multifactorial analysis using a stepped regression mathematical model].
abstract: The multivariant approach offers best possibilities for assessment of liver function. The role of the different clinical, clinico-laboratory and combined clinical and clinicochemical indices in the prognosis of liver cirrhosis was studied in patient in ambulatory conditions. A step regressive mathematical model with the help of the program 2R of the statistical package BMDP was used. The regression of the clinical indices by 5 steps of the mathematical model showed that of greatest importance for the survival are the following indices: ascites, months since its onset, collaterals, anorexia and vascular nevi. By 4 steps of the regressive model of the clinico-chemical indices the following indices were chosen: prothrombin time, albumin, total bilirubin, cholesterol and alkaline phosphatase. The regression of the combined clinical and clinico-chemical indices pointed out as basic factors 3 clinical indices (ascites, months since its onset, collaterals) and 3 clinico-chemical indices related to the disturbed liver function (prothrombin time, total bilirubin, albumin).
authors.forename: K
authors.initials: K
authors.lastname: Chernev
authors.forename: S
authors.initials: S
authors.lastname: Isa
authors.forename: V
authors.initials: V
authors.lastname: Bakalov
authors.forename: Ch
authors.initials: Ch
authors.lastname: Aleksiev
mesh_terms: D000328:Adult; D001201:Ascites / Q000175:diagnosis / Q000453:epidemiology / Q000378:metabolism / Q000401:mortality; D002031:Bulgaria / Q000453:epidemiology; D005260:Female; D006801:Humans; D008103:Liver Cirrhosis / Q000175:diagnosis / Q000453:epidemiology* / Q000378:metabolism / Q000401:mortality; D008297:Male; D015233:Models, Statistical; D011379:Prognosis; D012044:Regression Analysis; D012984:Software
vernacular_title: Prouchvane na evoliutsiiata i prognozata pri bolni s chernodrobna tsiroza. II. Multifaktoren analiz s pomoshtta na stŭpkov regresionen matematicheski model.