Retrospective Cohort Study
Copyright ©The Author(s) 2017. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Transplant. Oct 24, 2017; 7(5): 260-268
Published online Oct 24, 2017. doi: 10.5500/wjt.v7.i5.260
Prediction of delayed graft function using different scoring algorithms: A single-center experience
Magda Michalak, Kristien Wouters, Erik Fransen, Rachel Hellemans, Amaryllis H Van Craenenbroeck, Marie M Couttenye, Bart Bracke, Dirk K Ysebaert, Vera Hartman, Kathleen De Greef, Thiery Chapelle, Geert Roeyen, Gerda Van Beeumen, Marie-Paule Emonds, Daniel Abramowicz, Jean-Louis Bosmans
Magda Michalak, Rachel Hellemans, Amaryllis H Van Craenenbroeck, Marie M Couttenye, Gerda Van Beeumen, Daniel Abramowicz, Jean-Louis Bosmans, Department of Nephrology-Hypertension, Antwerp University Hospital, B-2650 Edegem, Belgium
Kristien Wouters, Department of Medical Statistics, Antwerp University Hospital, B-2650 Edegem, Belgium
Erik Fransen, StatUa Center for Statistics, University of Antwerp, B-2610 Wilrijk, Belgium
Bart Bracke, Dirk K Ysebaert, Vera Hartman, Kathleen De Greef, Thiery Chapelle, Geert Roeyen, Department of Hepatobiliary, Endocrine and Transplantation Surgery, Antwerp University Hospital, B-2650 Edegem, Belgium
Marie-Paule Emonds, Histocompatibility and Immunogenetic Laboratory, Belgian Red Cross-Flanders, 2800 Mechelen, Belgium
Author contributions: Michalak M, Abramowicz D and Bosmans JL designed the study; Michalak M collected and analyzed the data and wrote the first draft of the manuscript; Abramowicz D and Bosmans JL contributed to the analysis of the data and the finalization of the manuscript; Wouters K and Fransen E provided the statistical analysis; Van Beeumen G and Emonds MP contributed to the collection of the patient-related data; Hellemans R, Van Craenenbroeck AH, Couttenye MM, Bracke B, Ysebaert DK, Hartman V, De Greef K, Chapelle T and Roeyen G were responsible for the medical and surgical management of the patients.
Institutional review board statement: This study was approved by the Ethic Committee of the Antwerp University Hospital (Ref. 16/34/339).
Informed consent statement: Since this was a retrospective study, a written informed consent could not be obtained from the patients. However, all patients agreed verbally for the data collection.
Conflict-of-interest statement: This project was an investigator driven study without any support from external organizations. The authors have no conflict of interest.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Jean-Louis Bosmans, MD, PhD, Professor of Medicine, Department of Nephrology-Hypertension, Antwerp University Hospital, Wilrijkstraat 10, B-2650 Edegem, Belgium. jeanlouis.bosmans@uantwerpen.be
Telephone: +32-3-8213421 Fax: +32-3-8290100
Received: December 19, 2016
Peer-review started: December 25, 2016
First decision: February 17, 2017
Revised: March 31, 2017
Accepted: May 3, 2017
Article in press: May 5, 2017
Published online: October 24, 2017
Core Tip

Core tip: In this single centre, retrospective study we compared the incidence of observed delayed graft function (DGF) in 247 consecutive kidney transplant recipients with the predicted risk of DGF according to 3 different nomograms. Although the Irish nomogram provided an acceptable predictive value for the global study population, this calculator did not allow to make an accurate prediction of DGF at the individual level. Our study suggests that currently available predictive models for the risk of DGF after kidney transplantation are predictive in the population in which they were derived, but they lose their predictive value in external validations.