Open AccessA new clinical multivariable model that predicts postoperative acute kidney injury: impact of endogenous ouabain
Author(s) -
Marco Simonini,
Chiara Lanzani,
Elena Bignami,
N. Casamassima,
Elena Frati,
Roberta Meroni,
Elisabetta Messaggio,
Ottavio Alfieri,
John M. Hamlyn,
Simon C. Body,
Charles D. Collard,
Alberto Zangrillo,
Paolo Manunta,
Jochen D. Muehlschlegel,
Stanton K. Shernan,
Amanda A. Fox
Publication year - 2014
Publication title -
nephrology dialysis transplantation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.654
H-Index - 168
eISSN - 1460-2385
pISSN - 0931-0509
DOI - 10.1093/ndt/gfu200
Subject(s) - medicine , acute kidney injury , incidence (geometry) , population , complication , kidney disease , cardiac surgery , cardiology , surgery , physics , environmental health , optics
Acute kidney injury (AKI) is an important complication of cardiac surgery. Recently, elevated levels of endogenous ouabain (EO), an adrenal stress hormone with haemodynamic and renal effects, have been associated with worse renal outcome after cardiac surgery. Our aim was to develop and evaluate a new risk model of AKI using simple preoperative clinical parameters and to investigate the utility of EO.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom