| ISSN |
2220-3230 (online) |
| 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/ |
| Copyright |
© The Author(s) 2017. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Transplantation |
| Manuscript Type |
Retrospective Cohort Study |
| Article Title |
Prediction of delayed graft function using different scoring algorithms: A single-center experience
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
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 and Jean-Louis Bosmans |
| Funding Agency and Grant Number |
|
| Corresponding Author |
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 |
| Key Words |
Delayed graft function; Kidney transplantation; Nomogram; Receiver operating characteristic curve; Risk calculation |
| 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. |
| Publish Date |
2017-10-23 07:26 |
| Citation |
Michalak M, Wouters K, Fransen E, Hellemans R, Van Craenenbroeck AH, Couttenye MM, Bracke B, Ysebaert DK, Hartman V, De Greef K, Chapelle T, Roeyen G, Van Beeumen G, Emonds MP, Abramowicz D, Bosmans JL. Prediction of delayed graft function using different scoring algorithms: A single-center experience. World J Transplant 2017; 7(5): 260-268 |
| URL |
http://www.wjgnet.com/2220-3230/full/v7/i5/260.htm |
| DOI |
http://dx.doi.org/10.5500/wjt.v7.i5.260 |
