A Primary Model For Survival Evaluation Based The Liver Transplant Recipients Of China And Its Comparative Study With MELD

[Objection] To establish a primary model for posttransplant survival evaluation based recipients of West China Liver Transplantation Center, and validate the feasibility of our modeling methods which will be the basis of further study. Meanwhile, to compare the new model with MELD to evaluate their applicabilities in liver transplant recipients of China. [Methods] 1. We evaluated a cohort of recipients from our center, and analyzed whether the MELD score predicted postoperative survival and medical economics index including posttransplant length of hospitalization and cost of hospitalization. 2. Cox proportional-hazards regression was the main tool for screening risk factors affecting the posttransplant survival, and respectively establishing evaluation model for benign and malignant liver disease. Then, the new model and MELD would be compared to justify which one would more fit to the recipients of China. 3. using the artificial BP neural network (BPNN) to primarily establish a predictive model of our center's recipients to predict posttransplant survival time, and analyzing whether this modeling method had value.[Results] 1.According to MELD classification, the posttransplant survival rate and length of hospitalization among different MELD score groups had no significant difference. Cost of hospitalization based on the same MELD groups had significant difference in benign liver disease recipients, and that also showed positive correlation in malignant tumor recipients. 2. Cox...