Literature DB >> 31269500

Acute Kidney Injury following Cardiac Surgery: A Clinical Model.

Frederic T Billings1.   

Abstract

BACKGROUND: Scientists use preclinical models of acute kidney injury (AKI) to decipher mechanisms and develop therapy, but translation of therapies to patients remains poor. Models that better resemble patients, including those within clinical care, should be considered.
SUMMARY: Mice provide many advantages to the study of human disease including an ability to dictate precise experimental conditions. To best isolate and measure phenomena, scientists reduce experimental variability - identical animals, environmental conditions, experimental exposures, and outcome assessments. This technique reduces effect size variability and increases power but dissociates these model organisms from the clinical patients they intend to represent, potentially accounting for the poor translation of findings into patient care. Clinical research, conversely, is often plagued by heterogeneous patients, heterogenous environmental factors, and heterogenous renal insults. A compromise between these 2 extremes - a model of AKI that is more similar to human disease but still provides opportunities for rigorous investigation - should be utilized. Cardiac surgery provides a clinical model for the study of AKI due to mechanism overlap it shares with other clinical conditions (improved generalizability) and characteristics that provide distinct opportunities for research. The high rate of AKI following cardiac surgery and the relative homogeneity (decreased variability) of cardiac surgery subjects, their environment, and renal insults increase power and the opportunity to make discoveries and advance care. Moreover, the elective nature of cardiac surgery provides opportunities to perform detailed baseline assessments and pretreat select patients. Key Messages: Models that better reflect clinical AKI are needed to decipher mechanisms and develop effective treatments. Cardiac surgery is an important clinical model form for the study of AKI.
© 2019 S. Karger AG, Basel.

Entities:  

Keywords:  Acute kidney injury; Cardiac surgery; Clinical model; Mouse model; Statistical power

Mesh:

Year:  2019        PMID: 31269500      PMCID: PMC6821568          DOI: 10.1159/000501559

Source DB:  PubMed          Journal:  Nephron        ISSN: 1660-8151            Impact factor:   2.847


  14 in total

1.  Obesity and oxidative stress predict AKI after cardiac surgery.

Authors:  Frederic T Billings; Mias Pretorius; Jonathan S Schildcrout; Nathaniel D Mercaldo; John G Byrne; T Alp Ikizler; Nancy J Brown
Journal:  J Am Soc Nephrol       Date:  2012-05-24       Impact factor: 10.121

2.  Effects of Cardiopulmonary Bypass on Renal Perfusion, Filtration, and Oxygenation in Patients Undergoing Cardiac Surgery.

Authors:  Lukas Lannemyr; Gudrun Bragadottir; Vitus Krumbholz; Bengt Redfors; Johan Sellgren; Sven-Erik Ricksten
Journal:  Anesthesiology       Date:  2017-02       Impact factor: 7.892

3.  The ten barriers for translation of animal data on AKI to the clinical setting.

Authors:  Kathleen D Liu; Benjamin D Humphreys; Zoltan H Endre
Journal:  Intensive Care Med       Date:  2017-04-27       Impact factor: 17.440

4.  Assessment of mitochondrial membrane potential in proximal tubules after hypoxia-reoxygenation.

Authors:  Thorsten Feldkamp; Andreas Kribben; Joel M Weinberg
Journal:  Am J Physiol Renal Physiol       Date:  2004-12-29

5.  Oxygen free radicals in ischemic acute renal failure in the rat.

Authors:  M S Paller; J R Hoidal; T F Ferris
Journal:  J Clin Invest       Date:  1984-10       Impact factor: 14.808

6.  Declining mortality in patients with acute renal failure, 1988 to 2002.

Authors:  Sushrut S Waikar; Gary C Curhan; Ron Wald; Ellen P McCarthy; Glenn M Chertow
Journal:  J Am Soc Nephrol       Date:  2006-02-22       Impact factor: 10.121

7.  Acute Kidney Injury and Risk of Death After Elective Surgery: Prospective Analysis of Data From an International Cohort Study.

Authors:  Hannan Chaudery; Neil MacDonald; Tahania Ahmad; Susilo Chandra; Aida Tantri; Velayuthapillai Sivasakthi; Marzida Mansor; Ricardo Matos; Rupert M Pearse; John R Prowle
Journal:  Anesth Analg       Date:  2019-05       Impact factor: 5.108

Review 8.  Use of rodents as models of human diseases.

Authors:  Thierry F Vandamme
Journal:  J Pharm Bioallied Sci       Date:  2014-01

9.  Predictive models for kidney disease: improving global outcomes (KDIGO) defined acute kidney injury in UK cardiac surgery.

Authors:  Kate Birnie; Veerle Verheyden; Domenico Pagano; Moninder Bhabra; Kate Tilling; Jonathan A Sterne; Gavin J Murphy
Journal:  Crit Care       Date:  2014-11-20       Impact factor: 9.097

Review 10.  Acute kidney injury: short-term and long-term effects.

Authors:  James F Doyle; Lui G Forni
Journal:  Crit Care       Date:  2016-07-04       Impact factor: 9.097

View more
  5 in total

1.  Intraoperative hyperglycemia in patients with an elevated preoperative C-reactive protein level may increase the risk of acute kidney injury after cardiac surgery.

Authors:  Seohee Lee; Seungpyo Nam; Jinyoung Bae; Youn Joung Cho; Yunseok Jeon; Karam Nam
Journal:  J Anesth       Date:  2020-09-04       Impact factor: 2.078

2.  Norepinephrine released by intestinal Paneth cells exacerbates ischemic AKI.

Authors:  Sang Jun Han; Mihwa Kim; Vivette Denise D'Agati; H Thomas Lee
Journal:  Am J Physiol Renal Physiol       Date:  2019-12-09

3.  Perioperative Clinical Trials in AKI.

Authors:  David R McIlroy; Marcos G Lopez; Frederic T Billings
Journal:  Semin Nephrol       Date:  2020-03       Impact factor: 5.299

4.  The Predictive Value of Pre-operative N-Terminal Pro-B-Type Natriuretic Peptide in the Risk of Acute Kidney Injury After Non-cardiac Surgery.

Authors:  Xiang-Bin Liu; Ke Pang; Yong-Zhong Tang; Yuan Le
Journal:  Front Med (Lausanne)       Date:  2022-06-16

5.  Role of promoting inflammation of Krüppel-like factor 6 in acute kidney injury.

Authors:  Dan Li; Xiaoqiang Liu; Chenyu Li; Yue Zhang; Chen Guan; Junyan Huang; Yan Xu
Journal:  Ren Fail       Date:  2020-11       Impact factor: 2.606

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.