Literature DB >> 20040796

Acute kidney injury: how do we define it?

Andrew J P Lewington1, Ahmed Sayed.   

Abstract

Over recent years, there has been welcome increased interest in acute kidney injury (AKI) and its association with patient outcome. The term AKI has replaced the term acute renal failure (ARF) and encompasses all types of ARF. New definitions and staging systems for AKI have been proposed, which have stimulated a multitude of different studies to evaluate their clinical utility. These recent advances need to be communicated to the wider health care community so that we are using a shared nomenclature. In 2009 the National Confidential Enquiry into Patient Outcome and Death AKI study ('Adding Insult to Injury') announced its findings and recommendations. The report recommended that the detection of AKI and its management should be improved. These recommendations along with the adoption of the new staging systems will potentially have an impact on clinical biochemistry departments and exert an increased demand on resources. Running in parallel with these initiatives is the quest to discover novel biomarkers to detect AKI, the development and introduction of which will require laboratory support.

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Year:  2010        PMID: 20040796     DOI: 10.1258/acb.2009.009249

Source DB:  PubMed          Journal:  Ann Clin Biochem        ISSN: 0004-5632            Impact factor:   2.057


  6 in total

1.  Estimated Glomerular Filtration Rate (eGFR): A Serum Creatinine-Based Test for the Detection of Chronic Kidney Disease and its Impact on Clinical Practice.

Authors:  Waad-Allah S Mula-Abed; Khalid Al Rasadi; Dawood Al-Riyami
Journal:  Oman Med J       Date:  2012-03

2.  Development and validation of AKI prediction model in postoperative critically ill patients: a multicenter cohort study.

Authors:  Yu Zhang; Xiaochong Zhang; Xiuming Xi; Wei Dong; Zongmao Zhao; Shubo Chen
Journal:  Am J Transl Res       Date:  2022-08-15       Impact factor: 3.940

3.  Biochemistry in Endeavor Adventure Racers Study (BEARS).

Authors:  Matthew Wetschler; David Radler; Mark Christensen; Grant Lipman
Journal:  Cureus       Date:  2017-02-11

4.  Development and validation of a risk stratification model for predicting the mortality of acute kidney injury in critical care patients.

Authors:  Haofan Huang; Yong Liu; Ming Wu; Yi Gao; Xiaxia Yu
Journal:  Ann Transl Med       Date:  2021-02

5.  Assessment of urinary kidney injury molecule-1 and interleukin-18 in the early post-burn period to predict acute kidney injury for various degrees of burn injury.

Authors:  Hongqi Ren; Xuan Zhou; Deshu Dai; Xiang Liu; Liangxi Wang; Yifang Zhou; Xiaomei Luo; Qing Cai
Journal:  BMC Nephrol       Date:  2015-08-18       Impact factor: 2.388

Review 6.  Raising awareness of acute kidney injury: a global perspective of a silent killer.

Authors:  Andrew J P Lewington; Jorge Cerdá; Ravindra L Mehta
Journal:  Kidney Int       Date:  2013-05-01       Impact factor: 10.612

  6 in total

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