title: Univariate and multivariate analyses of cadaver kidney graft survival data.
abstract: 1. Clinical data on 6632 first cadaver transplants performed since January 1983 were analyzed by multivariate (Cox regression) and univariate (life-table) methods. 2. Cox regression analysis showed blood transfusion, recipient's race, HLA mismatch, highest antibody, warm ischemia time, and cyclosporine treatment as significant factors affecting graft survival. 3. A comparison of survival curves predicted by Cox regression analysis and that by the life-table method showed close agreement between the two methods. 4. Cyclosporine was one of the most significant variables affecting graft survival. There was a 13% overall increase in one-year graft survival due to cyclosporine treatment. However, other factors were still significant; they have not become obsolete in the cyclosporine era.
authors.forename: J L
authors.initials: JL
authors.lastname: Tiwari
authors.forename: M R
authors.initials: MR
authors.lastname: Mickey
mesh_terms: D003524:Cyclosporins / Q000627:therapeutic use; D006085:Graft Survival; D006680:HLA Antigens; D006801:Humans; D016030:Kidney Transplantation / Q000276:immunology / Q000706:statistics & numerical data*; D015999:Multivariate Analysis; D012044:Regression Analysis
chemical_list: D003524:Cyclosporins; D006680:HLA Antigens