Literature DB >> 31725154

The impact of biomarkers of acute kidney injury on individual patient care.

Jay L Koyner1, Alexander Zarbock2, Rajit K Basu3, Claudio Ronco4.   

Abstract

Acute kidney injury (AKI) remains a common clinical syndrome associated with increased morbidity and mortality. In the last several years there have been several advances in the identification of patients at increased risk for AKI through the use of traditional and newer functional and damage biomarkers of AKI. This article will specifically focus on the impact of biomarkers of AKI on individual patient care, focusing predominantly on the markers with the most expansive breadth of study in patients and reported literature evidence. Several studies have demonstrated that close monitoring of widely available biomarkers such as serum creatinine and urine output is strongly associated with improved patient outcomes. An integrated approach to these biomarkers used in context with patient risk factors (identifiable using electronic health record monitoring) and with tests of renal reserve may guide implementation and targeting of care bundles to optimize patient care. Besides traditional functional markers, biochemical injury biomarkers have been increasingly utilized in clinical trials both as a measure of kidney injury as well as a trigger to initiate other treatment options (e.g. care bundles and novel therapies). As the novel measures are becoming globally available, the clinical implementation of hospital-based real-time biomarker measurements involves a multidisciplinary approach. This literature review discusses the data evidence supporting both the strengths and limitations in the clinical implementation of biomarkers based on the authors' collective clinical experiences and opinions.
© The Author(s) 2019. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.

Entities:  

Keywords:  acute kidney injury; biomarker; patient outcome; renal replacement therapy

Mesh:

Substances:

Year:  2020        PMID: 31725154      PMCID: PMC7828472          DOI: 10.1093/ndt/gfz188

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  80 in total

1.  Automated, electronic alerts for acute kidney injury: a single-blind, parallel-group, randomised controlled trial.

Authors:  F Perry Wilson; Michael Shashaty; Jeffrey Testani; Iram Aqeel; Yuliya Borovskiy; Susan S Ellenberg; Harold I Feldman; Hilda Fernandez; Yevgeniy Gitelman; Jennie Lin; Dan Negoianu; Chirag R Parikh; Peter P Reese; Richard Urbani; Barry Fuchs
Journal:  Lancet       Date:  2015-02-26       Impact factor: 79.321

2.  Furosemide response predicts acute kidney injury in children after cardiac surgery.

Authors:  Jamie Penk; Katja M Gist; Eric L Wald; Laura Kitzmiller; Tennille N Webb; Yi Li; David S Cooper; Stuart L Goldstein; Rajit K Basu
Journal:  J Thorac Cardiovasc Surg       Date:  2019-01-11       Impact factor: 5.209

3.  Kinetic glomerular filtration rate equation can accommodate a changing body volume: Derivation and usage of the formula.

Authors:  Sheldon Chen
Journal:  Math Biosci       Date:  2018-05-22       Impact factor: 2.144

4.  Intraoperative oliguria predicts acute kidney injury after major abdominal surgery.

Authors:  T Mizota; Y Yamamoto; M Hamada; S Matsukawa; S Shimizu; S Kai
Journal:  Br J Anaesth       Date:  2017-12-01       Impact factor: 9.166

5.  Identification of Patients Expected to Benefit from Electronic Alerts for Acute Kidney Injury.

Authors:  Aditya Biswas; Chirag R Parikh; Harold I Feldman; Amit X Garg; Stephen Latham; Haiqun Lin; Paul M Palevsky; Ugochukwu Ugwuowo; F Perry Wilson
Journal:  Clin J Am Soc Nephrol       Date:  2018-03-29       Impact factor: 8.237

6.  The prognostic value of the furosemide stress test in predicting delayed graft function following deceased donor kidney transplantation.

Authors:  Blaithin A McMahon; Jay L Koyner; Tessa Novick; Steve Menez; Robert A Moran; Bonnie E Lonze; Niraj Desai; Sami Alasfar; Marvin Borja; William T Merritt; Promise Ariyo; Lakhmir S Chawla; Edward Kraus
Journal:  Biomarkers       Date:  2017-10-16       Impact factor: 2.658

7.  Improved performance of urinary biomarkers of acute kidney injury in the critically ill by stratification for injury duration and baseline renal function.

Authors:  Zoltán H Endre; John W Pickering; Robert J Walker; Prasad Devarajan; Charles L Edelstein; Joseph V Bonventre; Christopher M Frampton; Michael R Bennett; Qing Ma; Venkata S Sabbisetti; Vishal S Vaidya; Angela M Walcher; Geoffrey M Shaw; Seton J Henderson; Maryam Nejat; John B W Schollum; Peter M George
Journal:  Kidney Int       Date:  2011-02-09       Impact factor: 10.612

8.  Differential diagnosis of AKI in clinical practice by functional and damage biomarkers: workgroup statements from the tenth Acute Dialysis Quality Initiative Consensus Conference.

Authors:  Zoltan H Endre; John A Kellum; Salvatore Di Somma; Kent Doi; Stuart L Goldstein; Jay L Koyner; Etienne Macedo; Ravindra L Mehta; Patrick T Murray
Journal:  Contrib Nephrol       Date:  2013-05-13       Impact factor: 1.580

9.  A sustained quality improvement program reduces nephrotoxic medication-associated acute kidney injury.

Authors:  Stuart L Goldstein; Theresa Mottes; Kendria Simpson; Cynthia Barclay; Stephen Muething; David B Haslam; Eric S Kirkendall
Journal:  Kidney Int       Date:  2016-05-21       Impact factor: 10.612

10.  Fluid Overload and Renal Angina Index at Admission Are Associated With Worse Outcomes in Critically Ill Children.

Authors:  Sidharth K Sethi; Veena Raghunathan; Shilpi Shah; Maninder Dhaliwal; Pranaw Jha; Maneesh Kumar; Sravanthi Paluri; Shyam Bansal; Maroun J Mhanna; Rupesh Raina
Journal:  Front Pediatr       Date:  2018-05-01       Impact factor: 3.418

View more
  10 in total

1.  SuPAR: a potential predictive biomarker for acute kidney injury.

Authors:  Sarah Faubel
Journal:  Nat Rev Nephrol       Date:  2020-07       Impact factor: 28.314

Review 2.  Overview of Diagnostic Criteria and Epidemiology of Acute Kidney Injury and Acute Kidney Disease in the Critically Ill Patient.

Authors:  Bethany C Birkelo; Neesh Pannu; Edward D Siew
Journal:  Clin J Am Soc Nephrol       Date:  2022-03-15       Impact factor: 10.614

Review 3.  Artificial Intelligence in Acute Kidney Injury: From Static to Dynamic Models.

Authors:  Nupur S Mistry; Jay L Koyner
Journal:  Adv Chronic Kidney Dis       Date:  2021-01       Impact factor: 3.620

Review 4.  The use of diagnostic tools for pediatric AKI: applying the current evidence to the bedside.

Authors:  Dana Fuhrman
Journal:  Pediatr Nephrol       Date:  2021-01-25       Impact factor: 3.714

Review 5.  Acute kidney injury after lung transplantation: a narrative review.

Authors:  Lei Jing; Wenhui Chen; Lijuan Guo; Li Zhao; Chaoyang Liang; Jingyu Chen; Chen Wang
Journal:  Ann Transl Med       Date:  2021-04

6.  Clinical phenotypes of acute kidney injury are associated with unique outcomes in critically ill septic children.

Authors:  Rajit K Basu; Richard Hackbarth; Scott Gillespie; Ayse Akcan-Arikan; Patrick Brophy; Sean Bagshaw; Rashid Alobaidi; Stuart L Goldstein
Journal:  Pediatr Res       Date:  2021-02-02       Impact factor: 3.756

Review 7.  Burn-Induced Acute Kidney Injury-Two-Lane Road: From Molecular to Clinical Aspects.

Authors:  Andrei Niculae; Ileana Peride; Mirela Tiglis; Evgeni Sharkov; Tiberiu Paul Neagu; Ioan Lascar; Ionel Alexandru Checherita
Journal:  Int J Mol Sci       Date:  2022-08-05       Impact factor: 6.208

8.  Measurement of Serum Levels of 5 Amino Acids and Dimethylamine Using Liquid Chromatography-Tandem Mass Spectrometry in Patients without Septic Associated Acute Kidney Injury and with Septic Associated Acute Kidney Injury Requiring Continuous Renal Replacement Therapy.

Authors:  Patrycja Leśnik; Lidia Łysenko; Mariusz G Fleszar; Paulina Fortuna; Ewa Woźnica-Niesobska; Magdalena Mierzchała-Pasierb; Jarosław Janc
Journal:  Med Sci Monit       Date:  2022-09-07

9.  Plasma Endogenous Sulfur Dioxide: A Novel Biomarker to Predict Acute Kidney Injury in Critically Ill Patients.

Authors:  Yijia Jiang; Jingyi Wang; Xi Zheng; Jiantong Du
Journal:  Int J Gen Med       Date:  2021-05-28

10.  Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury.

Authors:  Matthew M Churpek; Kyle A Carey; Dana P Edelson; Tripti Singh; Brad C Astor; Emily R Gilbert; Christopher Winslow; Nirav Shah; Majid Afshar; Jay L Koyner
Journal:  JAMA Netw Open       Date:  2020-08-03
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.