Literature DB >> 35373068

Renal Hemodynamics, Function, and Oxygenation in Critically Ill Patients and after Major Surgery.

Sven-Erik Ricksten1, Gudrun Bragadottir1, Lukas Lannemyr1, Bengt Redfors1, Jenny Skytte1.   

Abstract

This review outlines the available data from the work of our group on renal hemodynamics, function, and oxygenation in patients who are critically ill with acute renal dysfunction, such as those with postoperative AKI, those in early clinical septic shock, in patients undergoing cardiac surgery with cardiopulmonary bypass, or in patients undergoing liver transplantation. We also provide information on renal hemodynamics, function, and oxygenation in patients with chronic renal impairment due to congestive heart failure. This review will argue that, for all of these groups of patients, the common denominator is that renal oxygenation is impaired due to a lower renal oxygen delivery or a pronounced increase in renal oxygen consumption.
Copyright © 2021 by the American Society of Nephrology.

Entities:  

Keywords:  acute kidney injury and ICU nephrology; critical illness; glomerular filtration rate; hemodynamics; renal blood flow; renal oxygen consumption; renal oxygenation; respiratory physiologic phenomena; tubular injury

Mesh:

Year:  2021        PMID: 35373068      PMCID: PMC8791344          DOI: 10.34067/KID.0007012020

Source DB:  PubMed          Journal:  Kidney360        ISSN: 2641-7650


  64 in total

Review 1.  Renal oxidative stress, oxygenation, and hypertension.

Authors:  Fredrik Palm; Lina Nordquist
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2011-08-10       Impact factor: 3.619

Review 2.  Near-infrared spectroscopy as an index of brain and tissue oxygenation.

Authors:  J M Murkin; M Arango
Journal:  Br J Anaesth       Date:  2009-12       Impact factor: 9.166

Review 3.  Oxidative stress and nitric oxide deficiency in the kidney: a critical link to hypertension?

Authors:  Christopher S Wilcox
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2005-10       Impact factor: 3.619

4.  Renal function, neurohormonal activation, and survival in patients with chronic heart failure.

Authors:  H L Hillege; A R Girbes; P J de Kam; F Boomsma; D de Zeeuw; A Charlesworth; J R Hampton; D J van Veldhuisen
Journal:  Circulation       Date:  2000-07-11       Impact factor: 29.690

5.  Acute renal failure is NOT an "acute renal success"--a clinical study on the renal oxygen supply/demand relationship in acute kidney injury.

Authors:  Bengt Redfors; Gudrun Bragadottir; Johan Sellgren; Kristina Swärd; Sven-Erik Ricksten
Journal:  Crit Care Med       Date:  2010-08       Impact factor: 7.598

6.  Low-dose vasopressin increases glomerular filtration rate, but impairs renal oxygenation in post-cardiac surgery patients.

Authors:  G Bragadottir; B Redfors; A Nygren; J Sellgren; S-E Ricksten
Journal:  Acta Anaesthesiol Scand       Date:  2009-06-30       Impact factor: 2.105

7.  Bedside estimation of absolute renal blood flow and glomerular filtration rate in the intensive care unit. A validation of two independent methods.

Authors:  Kristina Swärd; Felix Valsson; Johan Sellgren; Sven-Erik Ricksten
Journal:  Intensive Care Med       Date:  2004-07-28       Impact factor: 17.440

8.  Diminished NO generation by injured endothelium and loss of macula densa nNOS may contribute to sustained acute kidney injury after ischemia-reperfusion.

Authors:  Osun Kwon; Seok-Min Hong; Ganesan Ramesh
Journal:  Am J Physiol Renal Physiol       Date:  2008-10-29

Review 9.  Renal oxygenation and haemodynamics in acute kidney injury and chronic kidney disease.

Authors:  Prabhleen Singh; Sven-Erik Ricksten; Gudrun Bragadottir; Bengt Redfors; Lina Nordquist
Journal:  Clin Exp Pharmacol Physiol       Date:  2013-02       Impact factor: 2.557

10.  Clinical accuracy of RIFLE and Acute Kidney Injury Network (AKIN) criteria for acute kidney injury in patients undergoing cardiac surgery.

Authors:  Lars Englberger; Rakesh M Suri; Zhuo Li; Edward T Casey; Richard C Daly; Joseph A Dearani; Hartzell V Schaff
Journal:  Crit Care       Date:  2011-01-13       Impact factor: 9.097

View more
  1 in total

1.  Developing an ensemble machine learning model for early prediction of sepsis-associated acute kidney injury.

Authors:  Luming Zhang; Zichen Wang; Zhenyu Zhou; Shaojin Li; Tao Huang; Haiyan Yin; Jun Lyu
Journal:  iScience       Date:  2022-08-12
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.