title: Noninvasive diagnosis of renal allograft rejections--application of an information-theoretical model.
abstract: This paper describes an information-theoretical model developed for detection of renal allograft rejection on the basis of various laboratory data. In this report the mathematical background of the model is described in detail and the rationale of its use is discussed. An example is given for the practical application of the model in kidney grafted patients. In the 30 patients of the test collective, seven rejection episodes were diagnosed by the clinicians and verified histologically. All seven rejection episodes were detected by the model, in the mean 2.4 days (median; 3 days) before the clinical diagnosis.
authors.affiliation: Institut für Physiologie, Universität Innsbruck, Osterreich.
authors.forename: H
authors.initials: H
authors.lastname: Heiss
authors.forename: W
authors.initials: W
authors.lastname: Wild
authors.forename: R
authors.initials: R
authors.lastname: Margreiter
authors.forename: W
authors.initials: W
authors.lastname: Pfaller
authors.forename: P
authors.initials: P
authors.lastname: Kotanko
mesh_terms: D001707:Biopsy, Needle; D003198:Computer Simulation; D006084:Graft Rejection; D006801:Humans; D007668:Kidney / Q000473:pathology; D007677:Kidney Function Tests; D016030:Kidney Transplantation; D008432:Mathematical Computing; D008838:Microcomputers; D011183:Postoperative Complications / Q000473:pathology*; D011336:Probability