title: Predicting creatinine clearance by a simple formula following live-donor kidney transplantation.
abstract: The outcome after live-donor kidney transplantation is influenced by many parameters. The aim of our study was to establish a multivariate prognostic model for calculating the recipient's creatinine clearance after transplantation. Basic immunological, donor-, recipient- and process-related variables were assessed in a series of 18 live-donor kidney transplant patients with an uncomplicated postoperative course. Multivariate analysis was carried out with automated forward and backward selection. The following four parameters were included in the predictive model: recipient age, recipient BMI, graft clearance and degree of relationship. The coefficient of determination (R(2)) was 0.67. It could be shown that a significant prediction of creatinine clearance after living related kidney transplantation can be made, based on simple variables. Therefore, this formula could help to detect early complications in the post-transplantation course if the recipient's creatinine clearance drops below the predicted result.
authors.affiliation: Department of Surgery, Knappschaftskrankenhaus Bochum-Langendreer, Ruhr-University, In der Schornau 23-25, 44892, Bochum, Germany.
authors.forename: C
authors.initials: C
authors.lastname: Zapletal
authors.forename: M W
authors.initials: MW
authors.lastname: Lorenz
authors.forename: G
authors.initials: G
authors.lastname: Woeste
authors.forename: C
authors.initials: C
authors.lastname: Wullstein
authors.forename: M
authors.initials: M
authors.lastname: Golling
authors.forename: W O
authors.initials: WO
authors.lastname: Bechstein
mesh_terms: D000293:Adolescent; D000328:Adult; D015331:Cohort Studies; D003404:Creatinine / Q000378:metabolism*; D006801:Humans; D007668:Kidney / Q000378:metabolism*; D016030:Kidney Transplantation; D019520:Living Donors; D008875:Middle Aged; D008954:Models, Biological; D015999:Multivariate Analysis; D011379:Prognosis
chemical_list: D003404:Creatinine