Prediction of Renal Graft Function 1 Year After Adult Deceased-Donor Kidney Transplantation Using Variables Available Prior to Transplantation.

BACKGROUND Kidney transplantation is still the best therapy for patients with end-stage renal disease, but the demand for donor organs persistently surpasses the supply. A prognostic model using pre-transplant data for the prediction of renal graft function would be helpful to optimize organ allocation and avoid futile transplantations. MATERIAL AND METHODS Retrospective data of 2431 patients who underwent kidney transplantation between January 01, 2000, and December 31, 2012 with subsequent ten-year clinical follow-up in our transplant center were analyzed.

Proposal of a Multivariable Prediction Model for Graded Morbidity after Liver Resection for Colorectal Metastases.

Background: Prognostic models to predict individual early postoperative morbidity after liver resection for colorectal liver metastases (CLM) are not available but could enable optimized preoperative patient selection and postoperative surveillance for patients at greater risk of complications. The aim of this study was to establish a prognostic model for the prediction of morbidity after liver resection graded according to Dindo.

Methods: N = 679 cases of primary liver resection for CLM were retrospectively analyzed using univariable and multivariable ordinal regression analyses.

Identifying an optimal seeding protocol and endothelial cell substrate for biohybrid lung development.

Several key prerequisites need to be fulfilled for the development of a biohybrid lung, which can offer an actual alternative to lung transplantation. A major aspect is an optimized haemocompatibility of the device's artificial surfaces via endothelial cell seeding. In this study, four different types of polymeric gas exchange hollow fibre membranes (HFMs) were analysed utilizing four different seeding protocols in order to identify the ideal combination for sufficient long-term endothelialization.