©The Author(s) 2017. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Nephrol. Jul 6, 2017; 6(4): 168-175
Published online Jul 6, 2017. doi: 10.5527/wjn.v6.i4.168
Published online Jul 6, 2017. doi: 10.5527/wjn.v6.i4.168
Fluid overload as a major target in management of cardiorenal syndrome: Implications for the practice of peritoneal dialysis
Amir Kazory, Division of Nephrology, Hypertension and Renal Transplantation, College of Medicine, University of Florida, Gainesville, FL 32610-0224, United States
Author contributions: Kazory A finished this manuscript solely.
Conflict-of-interest statement: The author has no potential conflict of interest to declare with respect to this paper.
Correspondence to: Amir Kazory, MD, FASN, Division of Nephrology, Hypertension and Renal Transplantation, College of Medicine, University of Florida, 1600 SW Archer Road, Gainesville, FL 32610-0224, United States. kazory@medicine.ufl.edu
Telephone: +1-352-2738822 Fax: +1-352-3923581
Received: January 10, 2017
Peer-review started: January 16, 2017
First decision: February 20, 2017
Revised: February 23, 2017
Accepted: May 18, 2017
Article in press: May 20, 2017
Published online: July 6, 2017
Processing time: 170 Days and 20 Hours
Peer-review started: January 16, 2017
First decision: February 20, 2017
Revised: February 23, 2017
Accepted: May 18, 2017
Article in press: May 20, 2017
Published online: July 6, 2017
Processing time: 170 Days and 20 Hours
Core Tip
Core tip: Congestion has been recognized as a dynamic state capable of modulating the interactions between the heart and the kidney in patients with cardiorenal syndrome. Optimization of volume status could significantly affect the outcomes of patients treated with peritoneal dialysis (PD) patients for end-stage renal disease and pre-existing heart failure. Since PD is a highly modifiable therapeutic modality, it is conceivable that a regimen customized to the clinical characteristics and needs of the patients could improve their outcomes through efficient decongestion and optimization of volume status.