[Evolutionary and prognostic studies of patients with primary liver cancer. II. Multifactorial analysis using a stepped-regression mathematical model and graphics].

The subject of this study is the evolution and prognosis of 63 patients with primary liver carcinoma assessed bu multifactor regression mathematical model realized with the aid of the program 2R of the statistical package VMDR and by graphic expression of the functions of survival, mortality, speed of mortality function growth and graphic assessment of survival according to Okuda's method. The step regression analysis in 2 steps of the regression mathematical model of the clinical indices pointed out the factors age, edema and liver encephalopathy. By 7 steps in the regression mathematical model of the combined clinical and clinico-chemical indices as basic prognostic factors were selected: prothrombin time, liver encephalopathy, direct bilirubin, age, GGTP and sex.

[An evolutionary and prognostic study of patients with liver cirrhosis. I. A particular correlation analysis of the data from clinical observation and clinico-laboratory and instrumental studies in relation to the survival of patients with liver cirrhosis].

The influence of some clinical indices, clinico-laboratory and instrumental examinations on the survival of patient with liver cirrhosis was studied by implication of the programs 1D and 2D of the statistical package BMDP. The separate statistical comparisons show that of their own importance for the survival of the cirrhotic patients are the initial clinical manifestations (the latent and subclinical cirrhosis have a better prognosis), the size of the liver and the degree of portal hypertension assessed by laparoscopy according to the authors' classification in 4 grades (the patients with portal hypertension even in the absence of ascites show a significantly lower survival). The presence of concomitant diseases, the treatment applied and the cause of death do not play a significant role in the survival of the patients with liver cirrhosis.

[The evolution and prognosis of liver cirrhosis patients. III. An evaluation of the survival rate and mortality using graphic mathematical models].

The survival and mortality were assessed in 474 patients with liver cirrhosis followed up for a long time in outpatient conditions. The programme 2R of the statistical package BMDP was used and the following mathematical methods were applied: function of survival (for men and women) assessed by the method of Kaplan-Meyer; function of mortality assessed by the hazard-model of Link; velocity of growth of the function of mortality and method of the cumulative function of mortality for the remainders. The achievement of data, confirming each other, by the four mathematical graphic models applied allows the assertion that the selected method for assessment of the prognosis of liver cirrhosis is correct.

[Evolution and prognosis in patients with liver cirrhosis. II. A multifactorial analysis using a stepped regression mathematical model].

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.

[Evolution and prognosis in patients with primary liver cancer. I. The effect of individual factors on the survival of patients with primary liver cancer].

The data of the frequency, evolution and prognosis of 63 patients with primary liver carcinoma which had developed on the basis of liver cirrhosis are presented. An attempt is made to assess the importance of the etiologic factors, type of liver cirrhosis, macroscopic type of the tumor, histologic pattern of the cancer, sex and age for the evolution and prognosis of the disease. The patients with primary liver carcinoma without cirrhosis have a better prognosis.