Prognosis of human liver transplantation.

The results of publications on liver transplantation were diverse since several years, without model prognosis. The impossibility was due to the international system of measurement. We resorted to vector functions for calculating the ratios of biological values. We studied 2 samples with the same total number (35 patients) in the same conditions. We proposed 2 vector functions of transplants: (alpha)v1 weight/age donor and recipient in proportion to obtain a medium coefficient; (gamma)v2 ratio of biliary volume/700 mL (minimum secretion); beta was the coefficient of ratio ALT/AST (transaminases). After evaluation of 560 observations and mathematical control about 3000 numbers, we compared the samples with 10 parameters without significant difference between variances, means, other values; with consented errors alpha= beta = 0.05; gamma < 10(-7); means of relative errors = +/- 0.03 negligible. The results were verified by diverse tests (standard deviation of differences, chi2-test, relative risk, odds ratio, comparisons of distributions, parent population, equations of normality, partial correlations, partial regression coefficients, multiple regression, coefficient beta. Final results : quantitative prognosis by grading ; right responders to immunosuppressive treatment without complications, RR1 fast response (scores 3.5 ; 4) ; RR2 slow response (scores 2 ; 2.5 ; 3). Partial responders: very slow response (score 2; 2.5; 3) with transitory complications. Those patients were in recovery (81.5c/o). Wrong responders (score 2), 4 deaths (5.55c/o) by ARS; score 2.5, 1 death (1.5 5c/o) by ARS. We subtracted beta from these scores to differentiate them. Non-responders (score 1.5), 2 deaths (35c/o) by ARS.

Immunohistochemical hepatocytes nuclear test for the evaluation of responses to treatment of the chronic hepatitis C by interferon alpha.

The results of the microscopic examinations on 23 paired liver biopsies of patients affected by the chronic hepatitis C, were realized successively before and after treatment by interferon alpha during six months. They showed a particular interest in the use of the antibody Anticore. The other antibody Anti C100-3-clone Tordji 32, was partially associated with the Anticore to improve its total number of positive responses by interchanging the loss of 3 wrong positive numbers (-) of the same patients from the Anticore, against earnings of 3 wrong negative numbers (+) for the same patients from the Anti C100-3-clone 32. This operation led to 70% of sensitivity. The results were submitted to mathematical verification and allowed to look for the maximum of the predictive probabilities. As for the other antibody Anti C100-3-Tordji-clone 22, it only used as a witness for some positive values. Moreover, this work brought a practical implementation to solve the problem concerning the indeterminate responses. Elsewhere, it appeared plausible for the Anticore to advance beyond its value, if the improvement of its conditions of realization were requiring. That hope was reasonable since it was yielded from the results of the predictive equations of the likelihood ratios by the logistic regression method which built two mathematical models to comparison for confirmation.