Literature DB >> 31309763

[Biomarkers of cardiac surgery-associated acute kidney injury: a narrative review].

Binbin Wu1, Yi Yang1.   

Abstract

Cardiac surgery-related acute kidney injury (CSA-AKI) is a common and serious complication after cardiac surgery in adults. Currently, there is no specific examination method, and the diagnosis relying on serum creatinine and urine volume changes is of hysteresis. Biomarkers with the potential to predict CSA-AKI have become the focus in recent years. Clinical studies have shown that neutrophil gelatinase related lipid transporters and cell cycle inhibitors are of high diagnostic value; liver fatty acid binding protein can be used to assist in the diagnosis of CSA-AKI; microRNAs help to assess the poor prognosis of patients; the combined application of biomarkers may be used to predict the occurrence of CSA-AKI. CSA-AKI biomarkers provide the possibility for early clinical diagnosis and timely intervention, and are expected to become a new breakthrough in the diagnosis and treatment of CSA-AKI.

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Year:  2019        PMID: 31309763      PMCID: PMC8800769          DOI: 10.3785/j.issn.1008-9292.2019.04.16

Source DB:  PubMed          Journal:  Zhejiang Da Xue Xue Bao Yi Xue Ban        ISSN: 1008-9292


  36 in total

Review 1.  How could biomarkers of ARDS and AKI drive clinical strategies?

Authors:  Armand Mekontso Dessap; Lorraine B Ware; Sean M Bagshaw
Journal:  Intensive Care Med       Date:  2016-01-28       Impact factor: 17.440

2.  Combining functional and tubular damage biomarkers improves diagnostic precision for acute kidney injury after cardiac surgery.

Authors:  Rajit K Basu; Hector R Wong; Catherine D Krawczeski; Derek S Wheeler; Peter B Manning; Lakhmir S Chawla; Prasad Devarajan; Stuart L Goldstein
Journal:  J Am Coll Cardiol       Date:  2014-12-30       Impact factor: 24.094

3.  Temporal relationship and predictive value of urinary acute kidney injury biomarkers after pediatric cardiopulmonary bypass.

Authors:  Catherine D Krawczeski; Stuart L Goldstein; Jessica G Woo; Yu Wang; Nuntawan Piyaphanee; Qing Ma; Michael Bennett; Prasad Devarajan
Journal:  J Am Coll Cardiol       Date:  2011-11-22       Impact factor: 24.094

Review 4.  Prognostic value of cell cycle arrest biomarkers in patients at high risk for acute kidney injury: A systematic review and meta-analysis.

Authors:  Hui-Miao Jia; Li-Feng Huang; Yue Zheng; Wen-Xiong Li
Journal:  Nephrology (Carlton)       Date:  2017-11       Impact factor: 2.506

Review 5.  Management of patients at risk of acute kidney injury.

Authors:  Jill Vanmassenhove; Jan Kielstein; Achim Jörres; Wim Van Biesen
Journal:  Lancet       Date:  2017-05-27       Impact factor: 79.321

6.  Performance of kidney injury molecule-1 and liver fatty acid-binding protein and combined biomarkers of AKI after cardiac surgery.

Authors:  Chirag R Parikh; Heather Thiessen-Philbrook; Amit X Garg; Deepak Kadiyala; Michael G Shlipak; Jay L Koyner; Charles L Edelstein; Prasad Devarajan; Uptal D Patel; Michael Zappitelli; Catherine D Krawczeski; Cary S Passik; Steven G Coca
Journal:  Clin J Am Soc Nephrol       Date:  2013-04-18       Impact factor: 8.237

7.  Plasma microRNA-21 for the early prediction of acute kidney injury in patients undergoing major cardiac surgery.

Authors:  Luise Gaede; Christoph Liebetrau; Johannes Blumenstein; Christian Troidl; Oliver Dörr; Won-Keun Kim; Karl Gottfried; Sandra Voss; Alexander Berkowitsch; Thomas Walther; Holger Nef; Christian W Hamm; Helge Möllmann
Journal:  Nephrol Dial Transplant       Date:  2016-03-02       Impact factor: 5.992

8.  Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury.

Authors:  Ravindra L Mehta; John A Kellum; Sudhir V Shah; Bruce A Molitoris; Claudio Ronco; David G Warnock; Adeera Levin
Journal:  Crit Care       Date:  2007       Impact factor: 9.097

Review 9.  Methodological issues in current practice may lead to bias in the development of biomarker combinations for predicting acute kidney injury.

Authors:  Allison Meisner; Kathleen F Kerr; Heather Thiessen-Philbrook; Steven G Coca; Chirag R Parikh
Journal:  Kidney Int       Date:  2016-02       Impact factor: 10.612

10.  Urinary Tissue Inhibitor of Metalloproteinase-2 (TIMP-2) • Insulin-Like Growth Factor-Binding Protein 7 (IGFBP7) Predicts Adverse Outcome in Pediatric Acute Kidney Injury.

Authors:  Jens H Westhoff; Burkhard Tönshoff; Sina Waldherr; Johannes Pöschl; Ulrike Teufel; Timm H Westhoff; Alexander Fichtner
Journal:  PLoS One       Date:  2015-11-25       Impact factor: 3.240

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