Biomarkers for prediction of renal replacement therapy in acute kidney injury: a systematic review and meta-analysis

Purpose Acute kidney injury (AKI) frequently occurs in critically ill patients and often precipitates use of renal replacement therapy (RRT). However, the ideal circumstances for whether and when to start RRT remain unclear. We performed evidence synthesis of the available literature to evaluate the...

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Vydáno v:	Intensive care medicine Ročník 44; číslo 3; s. 323 - 336
Hlavní autoři:	Klein, Sebastian J., Brandtner, Anna K., Lehner, Georg F., Ulmer, Hanno, Bagshaw, Sean M., Wiedermann, Christian J., Joannidis, Michael
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2018 Springer Springer Nature B.V
Témata:	Acute Kidney Injury - diagnosis Acute Kidney Injury - therapy Acute-Phase Proteins Analysis Anesthesiology Biological markers Biomarkers Clinical trials Creatinine Critical Care Medicine Cystatin C Decision making Emergency Medicine Evidence-based medicine Gelatinase Humans Injury analysis Insulin Intensive Intensive care Interleukin 18 Kidney transplantation Kidneys Lipocalin Lipocalin-2 Lipocalins Medical research Medicine Medicine & Public Health Medicine, Experimental Meta-analysis Metalloproteinase Pain Medicine Patients Pediatrics Pneumology/Respiratory System Precipitates Prospective Studies Protein binding Proto-Oncogene Proteins Renal Replacement Therapy Systematic Review Therapy Tissue Inhibitor of Metalloproteinase-2 Urine Austria Biomarkers Renal replacement therapy Acute kidney injury Prediction Meta-analysis
ISSN:	0342-4642, 1432-1238, 1432-1238
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Abstract	Purpose Acute kidney injury (AKI) frequently occurs in critically ill patients and often precipitates use of renal replacement therapy (RRT). However, the ideal circumstances for whether and when to start RRT remain unclear. We performed evidence synthesis of the available literature to evaluate the value of biomarkers to predict receipt of RRT for AKI. Methods We conducted a PRISMA-guided systematic review and meta-analysis including all trials evaluating biomarker performance for prediction of RRT in AKI. A systematic search was applied in MEDLINE, Embase, and CENTRAL databases from inception to September 2017. All studies reporting an area under the curve (AUC) for a biomarker to predict initiation of RRT were included. Results Sixty-three studies comprising 15,928 critically ill patients (median per study 122.5 [31–1439]) met eligibility. Forty-one studies evaluating 13 different biomarkers were included. Of these biomarkers, neutrophil gelatinase-associated lipocalin (NGAL) had the largest body of evidence. The pooled AUCs for urine and blood NGAL were 0.720 (95% CI 0.638–0.803) and 0.755 (0.706–0.803), respectively. Blood creatinine and cystatin C had pooled AUCs of 0.764 (0.732–0.796) and 0.768 (0.729–0.807), respectively. For urine biomarkers, interleukin-18, cystatin C, and the product of tissue inhibitor of metalloproteinase-2 and insulin growth factor binding protein-7 showed pooled AUCs of 0.668 (0.606–0.729), 0.722 (0.575–0.868), and 0.857 (0.789–0.925), respectively. Conclusion Though several biomarkers showed promise and reasonable prediction of RRT use for critically ill patients with AKI, the strength of evidence currently precludes their routine use to guide decision-making on when to initiate RRT.
AbstractList	PurposeAcute kidney injury (AKI) frequently occurs in critically ill patients and often precipitates use of renal replacement therapy (RRT). However, the ideal circumstances for whether and when to start RRT remain unclear. We performed evidence synthesis of the available literature to evaluate the value of biomarkers to predict receipt of RRT for AKI.MethodsWe conducted a PRISMA-guided systematic review and meta-analysis including all trials evaluating biomarker performance for prediction of RRT in AKI. A systematic search was applied in MEDLINE, Embase, and CENTRAL databases from inception to September 2017. All studies reporting an area under the curve (AUC) for a biomarker to predict initiation of RRT were included.ResultsSixty-three studies comprising 15,928 critically ill patients (median per study 122.5 [31–1439]) met eligibility. Forty-one studies evaluating 13 different biomarkers were included. Of these biomarkers, neutrophil gelatinase-associated lipocalin (NGAL) had the largest body of evidence. The pooled AUCs for urine and blood NGAL were 0.720 (95% CI 0.638–0.803) and 0.755 (0.706–0.803), respectively. Blood creatinine and cystatin C had pooled AUCs of 0.764 (0.732–0.796) and 0.768 (0.729–0.807), respectively. For urine biomarkers, interleukin-18, cystatin C, and the product of tissue inhibitor of metalloproteinase-2 and insulin growth factor binding protein-7 showed pooled AUCs of 0.668 (0.606–0.729), 0.722 (0.575–0.868), and 0.857 (0.789–0.925), respectively.ConclusionThough several biomarkers showed promise and reasonable prediction of RRT use for critically ill patients with AKI, the strength of evidence currently precludes their routine use to guide decision-making on when to initiate RRT. Acute kidney injury (AKI) frequently occurs in critically ill patients and often precipitates use of renal replacement therapy (RRT). However, the ideal circumstances for whether and when to start RRT remain unclear. We performed evidence synthesis of the available literature to evaluate the value of biomarkers to predict receipt of RRT for AKI.PURPOSEAcute kidney injury (AKI) frequently occurs in critically ill patients and often precipitates use of renal replacement therapy (RRT). However, the ideal circumstances for whether and when to start RRT remain unclear. We performed evidence synthesis of the available literature to evaluate the value of biomarkers to predict receipt of RRT for AKI.We conducted a PRISMA-guided systematic review and meta-analysis including all trials evaluating biomarker performance for prediction of RRT in AKI. A systematic search was applied in MEDLINE, Embase, and CENTRAL databases from inception to September 2017. All studies reporting an area under the curve (AUC) for a biomarker to predict initiation of RRT were included.METHODSWe conducted a PRISMA-guided systematic review and meta-analysis including all trials evaluating biomarker performance for prediction of RRT in AKI. A systematic search was applied in MEDLINE, Embase, and CENTRAL databases from inception to September 2017. All studies reporting an area under the curve (AUC) for a biomarker to predict initiation of RRT were included.Sixty-three studies comprising 15,928 critically ill patients (median per study 122.5 [31-1439]) met eligibility. Forty-one studies evaluating 13 different biomarkers were included. Of these biomarkers, neutrophil gelatinase-associated lipocalin (NGAL) had the largest body of evidence. The pooled AUCs for urine and blood NGAL were 0.720 (95% CI 0.638-0.803) and 0.755 (0.706-0.803), respectively. Blood creatinine and cystatin C had pooled AUCs of 0.764 (0.732-0.796) and 0.768 (0.729-0.807), respectively. For urine biomarkers, interleukin-18, cystatin C, and the product of tissue inhibitor of metalloproteinase-2 and insulin growth factor binding protein-7 showed pooled AUCs of 0.668 (0.606-0.729), 0.722 (0.575-0.868), and 0.857 (0.789-0.925), respectively.RESULTSSixty-three studies comprising 15,928 critically ill patients (median per study 122.5 [31-1439]) met eligibility. Forty-one studies evaluating 13 different biomarkers were included. Of these biomarkers, neutrophil gelatinase-associated lipocalin (NGAL) had the largest body of evidence. The pooled AUCs for urine and blood NGAL were 0.720 (95% CI 0.638-0.803) and 0.755 (0.706-0.803), respectively. Blood creatinine and cystatin C had pooled AUCs of 0.764 (0.732-0.796) and 0.768 (0.729-0.807), respectively. For urine biomarkers, interleukin-18, cystatin C, and the product of tissue inhibitor of metalloproteinase-2 and insulin growth factor binding protein-7 showed pooled AUCs of 0.668 (0.606-0.729), 0.722 (0.575-0.868), and 0.857 (0.789-0.925), respectively.Though several biomarkers showed promise and reasonable prediction of RRT use for critically ill patients with AKI, the strength of evidence currently precludes their routine use to guide decision-making on when to initiate RRT.CONCLUSIONThough several biomarkers showed promise and reasonable prediction of RRT use for critically ill patients with AKI, the strength of evidence currently precludes their routine use to guide decision-making on when to initiate RRT. Acute kidney injury (AKI) frequently occurs in critically ill patients and often precipitates use of renal replacement therapy (RRT). However, the ideal circumstances for whether and when to start RRT remain unclear. We performed evidence synthesis of the available literature to evaluate the value of biomarkers to predict receipt of RRT for AKI. We conducted a PRISMA-guided systematic review and meta-analysis including all trials evaluating biomarker performance for prediction of RRT in AKI. A systematic search was applied in MEDLINE, Embase, and CENTRAL databases from inception to September 2017. All studies reporting an area under the curve (AUC) for a biomarker to predict initiation of RRT were included. Sixty-three studies comprising 15,928 critically ill patients (median per study 122.5 [31-1439]) met eligibility. Forty-one studies evaluating 13 different biomarkers were included. Of these biomarkers, neutrophil gelatinase-associated lipocalin (NGAL) had the largest body of evidence. The pooled AUCs for urine and blood NGAL were 0.720 (95% CI 0.638-0.803) and 0.755 (0.706-0.803), respectively. Blood creatinine and cystatin C had pooled AUCs of 0.764 (0.732-0.796) and 0.768 (0.729-0.807), respectively. For urine biomarkers, interleukin-18, cystatin C, and the product of tissue inhibitor of metalloproteinase-2 and insulin growth factor binding protein-7 showed pooled AUCs of 0.668 (0.606-0.729), 0.722 (0.575-0.868), and 0.857 (0.789-0.925), respectively. Though several biomarkers showed promise and reasonable prediction of RRT use for critically ill patients with AKI, the strength of evidence currently precludes their routine use to guide decision-making on when to initiate RRT. Purpose Acute kidney injury (AKI) frequently occurs in critically ill patients and often precipitates use of renal replacement therapy (RRT). However, the ideal circumstances for whether and when to start RRT remain unclear. We performed evidence synthesis of the available literature to evaluate the value of biomarkers to predict receipt of RRT for AKI. Methods We conducted a PRISMA-guided systematic review and meta-analysis including all trials evaluating biomarker performance for prediction of RRT in AKI. A systematic search was applied in MEDLINE, Embase, and CENTRAL databases from inception to September 2017. All studies reporting an area under the curve (AUC) for a biomarker to predict initiation of RRT were included. Results Sixty-three studies comprising 15,928 critically ill patients (median per study 122.5 [31-1439]) met eligibility. Forty-one studies evaluating 13 different biomarkers were included. Of these biomarkers, neutrophil gelatinase-associated lipocalin (NGAL) had the largest body of evidence. The pooled AUCs for urine and blood NGAL were 0.720 (95% CI 0.638-0.803) and 0.755 (0.706-0.803), respectively. Blood creatinine and cystatin C had pooled AUCs of 0.764 (0.732-0.796) and 0.768 (0.729-0.807), respectively. For urine biomarkers, interleukin-18, cystatin C, and the product of tissue inhibitor of metalloproteinase-2 and insulin growth factor binding protein-7 showed pooled AUCs of 0.668 (0.606-0.729), 0.722 (0.575-0.868), and 0.857 (0.789-0.925), respectively. Conclusion Though several biomarkers showed promise and reasonable prediction of RRT use for critically ill patients with AKI, the strength of evidence currently precludes their routine use to guide decision-making on when to initiate RRT. Purpose Acute kidney injury (AKI) frequently occurs in critically ill patients and often precipitates use of renal replacement therapy (RRT). However, the ideal circumstances for whether and when to start RRT remain unclear. We performed evidence synthesis of the available literature to evaluate the value of biomarkers to predict receipt of RRT for AKI. Methods We conducted a PRISMA-guided systematic review and meta-analysis including all trials evaluating biomarker performance for prediction of RRT in AKI. A systematic search was applied in MEDLINE, Embase, and CENTRAL databases from inception to September 2017. All studies reporting an area under the curve (AUC) for a biomarker to predict initiation of RRT were included. Results Sixty-three studies comprising 15,928 critically ill patients (median per study 122.5 [31–1439]) met eligibility. Forty-one studies evaluating 13 different biomarkers were included. Of these biomarkers, neutrophil gelatinase-associated lipocalin (NGAL) had the largest body of evidence. The pooled AUCs for urine and blood NGAL were 0.720 (95% CI 0.638–0.803) and 0.755 (0.706–0.803), respectively. Blood creatinine and cystatin C had pooled AUCs of 0.764 (0.732–0.796) and 0.768 (0.729–0.807), respectively. For urine biomarkers, interleukin-18, cystatin C, and the product of tissue inhibitor of metalloproteinase-2 and insulin growth factor binding protein-7 showed pooled AUCs of 0.668 (0.606–0.729), 0.722 (0.575–0.868), and 0.857 (0.789–0.925), respectively. Conclusion Though several biomarkers showed promise and reasonable prediction of RRT use for critically ill patients with AKI, the strength of evidence currently precludes their routine use to guide decision-making on when to initiate RRT. Acute kidney injury (AKI) frequently occurs in critically ill patients and often precipitates use of renal replacement therapy (RRT). However, the ideal circumstances for whether and when to start RRT remain unclear. We performed evidence synthesis of the available literature to evaluate the value of biomarkers to predict receipt of RRT for AKI. We conducted a PRISMA-guided systematic review and meta-analysis including all trials evaluating biomarker performance for prediction of RRT in AKI. A systematic search was applied in MEDLINE, Embase, and CENTRAL databases from inception to September 2017. All studies reporting an area under the curve (AUC) for a biomarker to predict initiation of RRT were included. Sixty-three studies comprising 15,928 critically ill patients (median per study 122.5 [31-1439]) met eligibility. Forty-one studies evaluating 13 different biomarkers were included. Of these biomarkers, neutrophil gelatinase-associated lipocalin (NGAL) had the largest body of evidence. The pooled AUCs for urine and blood NGAL were 0.720 (95% CI 0.638-0.803) and 0.755 (0.706-0.803), respectively. Blood creatinine and cystatin C had pooled AUCs of 0.764 (0.732-0.796) and 0.768 (0.729-0.807), respectively. For urine biomarkers, interleukin-18, cystatin C, and the product of tissue inhibitor of metalloproteinase-2 and insulin growth factor binding protein-7 showed pooled AUCs of 0.668 (0.606-0.729), 0.722 (0.575-0.868), and 0.857 (0.789-0.925), respectively. Though several biomarkers showed promise and reasonable prediction of RRT use for critically ill patients with AKI, the strength of evidence currently precludes their routine use to guide decision-making on when to initiate RRT.
Audience	Academic
Author	Brandtner, Anna K. Joannidis, Michael Bagshaw, Sean M. Wiedermann, Christian J. Klein, Sebastian J. Lehner, Georg F. Ulmer, Hanno
Author_xml	– sequence: 1 givenname: Sebastian J. surname: Klein fullname: Klein, Sebastian J. organization: Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck – sequence: 2 givenname: Anna K. surname: Brandtner fullname: Brandtner, Anna K. organization: Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck – sequence: 3 givenname: Georg F. surname: Lehner fullname: Lehner, Georg F. organization: Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck – sequence: 4 givenname: Hanno surname: Ulmer fullname: Ulmer, Hanno organization: Department of Medical Statistics, Informatics and Health Economics, Medical University Innsbruck – sequence: 5 givenname: Sean M. surname: Bagshaw fullname: Bagshaw, Sean M. organization: Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta – sequence: 6 givenname: Christian J. surname: Wiedermann fullname: Wiedermann, Christian J. organization: UMIT-The Health and Life Sciences University – sequence: 7 givenname: Michael orcidid: 0000-0002-6996-0881 surname: Joannidis fullname: Joannidis, Michael email: michael.joannidis@i-med.ac.at organization: Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/29541790$$D View this record in MEDLINE/PubMed
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Cites_doi	10.1093/ndt/gfp234 10.1681/ASN.2013121300 10.1007/s00134-009-1724-9 10.1007/s00134-009-1733-8 10.1097/CCM.0b013e318195846e 10.1111/aas.13010 10.7326/0003-4819-155-8-201110180-00009 10.1159/000350733 10.7196/SAMJ.2017.v107i5.12213 10.1016/j.jcrc.2017.08.029 10.1148/radiology.143.1.7063747 10.1159/000447115 10.1111/j.1523-1755.2004.00861.x 10.1007/s00134-012-2730-x 10.1093/bja/aeu382 10.1371/journal.pmed.1000097 10.1001/jama.2016.5828 10.1681/ASN.2011040325 10.1093/ndt/gfq176 10.1007/s00063-017-0290-0 10.1111/1744-9987.12004 10.1093/ndt/gfp428 10.1186/s12879-017-2373-1 10.1111/nep.12400 10.1186/1475-2875-10-217 10.1159/000477469 10.1111/aas.12112 10.3343/alm.2017.37.5.388 10.2165/00003088-197904030-00003 10.1056/NEJMoa1603017 10.1111/aas.12427 10.1111/tri.12636 10.1093/ndt/gfu292 10.1159/000448506 10.1186/cc11391 10.1186/s13054-016-1478-z 10.1097/SHK.0000000000000830 10.1371/journal.pone.0063390 10.1038/ki.2011.160 10.1097/SHK.0000000000000804 10.1007/s00134-015-3934-7 10.1159/000342257 10.1164/rccm.200908-1214OC 10.2215/CJN.06280612 10.1038/ki.2010.25 10.1186/s13054-017-1674-5 10.1007/s00134-013-2826-y 10.1136/bmj.d4002 10.1097/CCM.0000000000000927 10.1053/j.ajkd.2009.07.020 10.1177/106002809302700518 10.1111/aas.12988 10.1016/j.jcrc.2014.02.011 10.1152/ajprenal.00448.2010 10.1186/s12871-016-0244-8 10.1213/ANE.0000000000000243 10.1371/journal.pone.0110678 10.1159/000475883 10.1159/000447979 10.7754/Clin.Lab.2014.140724 10.1111/nep.12037 10.1097/CCM.0000000000001077 10.1007/s00134-010-2087-y 10.3109/0886022X.2014.976130 10.1007/s00134-013-3040-7 10.1681/ASN.2012070653 10.1186/1471-2369-15-9 10.1038/ki.2013.174 10.1007/s00134-017-4832-y 10.1016/j.jcrc.2015.08.019 10.1186/cc10339 10.1186/cc12503 10.1007/s00134-017-4809-x 10.1038/ki.2015.184 10.1007/s00134-009-1711-1 10.1160/TH13-05-0387 10.1159/000351542 10.1186/1749-8090-9-10 10.1373/clinchem.2003.027763 10.1016/j.jcrc.2009.05.010 10.1186/1745-6215-14-320 10.1371/journal.pone.0120863 10.1007/s00134-010-1887-4 10.1159/000364937 10.1253/circj.CJ-14-0008 10.2215/CJN.09061209 10.1681/ASN.2014060535 10.1016/j.jacc.2016.06.055 10.1155/2015/158658 10.1007/s00011-017-1043-5 10.1093/ckj/sfs160 10.1038/ki.2010.555 10.1053/j.jvca.2015.05.060 10.1145/2110363.2110464 10.1097/BCR.0000000000000605
ContentType	Journal Article
Copyright	The Author(s) 2018 COPYRIGHT 2018 Springer Intensive Care Medicine is a copyright of Springer, (2018). All Rights Reserved.
Copyright_xml	– notice: The Author(s) 2018 – notice: COPYRIGHT 2018 Springer – notice: Intensive Care Medicine is a copyright of Springer, (2018). All Rights Reserved.
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DOI	10.1007/s00134-018-5126-8
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Keywords	Biomarkers Renal replacement therapy Acute kidney injury Prediction Meta-analysis
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References	Hjortrup, Haase, Treschow, Moller, Perner (CR72) 2015; 59 Perinel, Vincent, Lautrette, Dellamonica, Mariat, Zeni, Cohen, Tardy, Souweine, Darmon (CR2) 2015; 43 Pipili, Ioannidou, Tripodaki, Parisi, Douka, Vasileiadis, Joannidis, Nanas (CR50) 2014; 29 O’Sullivan, Doyle (CR47) 2017; 10 Waikar, Betensky, Bonventre (CR97) 2009; 24 Alge, Karakala, Neely, Janech, Tumlin, Chawla, Shaw, Arthur (CR58) 2013; 8 Lopes, Jorge (CR91) 2013; 6 Pickering, Frampton, Walker, Shaw, Endre (CR49) 2012; 16 Hanley, McNeil (CR14) 1982; 143 Ostermann, Joannidis (CR8) 2016; 20 Zarbock, Kellum, Schmidt, Van Aken, Wempe, Pavenstadt, Boanta, Gerss, Meersch (CR5) 2016; 315 Koziolek, Datta, Mattes, Jung, Heise, Streich, Muhlhausen, Mueller, Dihazi (CR41) 2012; 2 Bjornsson (CR89) 1979; 4 Chen (CR92) 2013; 24 Royakkers, Korevaar, van Suijlen, Hofstra, Kuiper, Spronk, Schultz, Bouman (CR53) 2011; 37 Skinner, Laing, Bruce, Biccard, Muckart (CR80) 2017; 107 Cruz, de Cal, Garzotto, Perazella, Lentini, Corradi, Piccinni, Ronco (CR30) 2009; 36 Shum, Leung, Chang, Tam, Kwan, Chan, Yan, Chan (CR68) 2015; 20 Macdonald, Bosio, Neil, Arendts, Burrows, Smart, Brown, Fatovich (CR94) 2017; 66 Plewes, Kingston, Ghose, Maude, Herdman, Leopold, Ishioka, Hasan, Haider, Alam, Piera, Charunwatthana, Silamut, Yeo, Faiz, Lee, Mukaka, Turner, Anstey, Jackson Roberts, White, Day, Hossain, Dondorp (CR76) 2017; 17 Haase-Fielitz, Bellomo, Devarajan, Bennett, Story, Matalanis, Frei, Dragun, Haase (CR64) 2009; 24 Itenov, Jensen, Ostrowski, Johansson, Thormar, Lundgren, Bestle (CR38) 2017; 47 Gaudry, Hajage, Schortgen, Martin-Lefevre, Pons, Boulet, Boyer, Chevrel, Lerolle, Carpentier, de Prost, Lautrette, Bretagnol, Mayaux, Nseir, Megarbane, Thirion, Forel, Maizel, Yonis, Markowicz, Thiery, Tubach, Ricard, Dreyfuss (CR4) 2016; 375 Core Team (CR17) 2016 Siew, Ikizler, Gebretsadik, Shintani, Wickersham, Bossert, Peterson, Parikh, May, Ware (CR54) 2010; 5 Parikh, Thiessen-Philbrook (CR96) 2014; 25 Renhua, Miaolin, Junlin, Qingwei, Xiaoping, Huili, Weiming, Zhaohui, Jiaqi, Yan (CR23) 2014; 38 Kiessling, Dietz, Reyher, Stock, Beiras-Fernandez, Moritz (CR57) 2014; 9 de Geus, Bakker, Lesaffre, le Noble (CR31) 2011; 183 Sumida, Doi, Kinoshita, Kimura, Ono, Hamasaki, Matsubara, Ishii, Yahagi, Nangaku, Noiri (CR62) 2014; 78 Pianta, Peake, Pickering, Kelleher, Buckley, Endre (CR70) 2015; 28 Ralib, Pickering, Shaw, Devarajan, Edelstein, Bonventre, Endre (CR51) 2012; 23 Haase-Fielitz, Mertens, Plass, Kuppe, Hetzer, Westerman, Ostland, Prowle, Bellomo, Haase (CR61) 2011; 15 Cemil, Elif, Serkan, Fevzi, Deniz, Tamer, Polat (CR18) 2014; 64 Siew, Ware, Bian, Shintani, Eden, Wickersham, Cripps, Ikizler (CR55) 2013; 84 Gaipov, Solak, Turkmen, Toker, Baysal, Cicekler, Biyik, Erdur, Kilicaslan, Anil, Gormus, Tonbul, Yeksan, Turk (CR66) 2015; 37 Klein, Joannidis (CR103) 2017; 112 Forni, Darmon, Ostermann, Oudemans-van Straaten, Pettila, Prowle, Schetz, Joannidis (CR6) 2017; 43 Endre, Walker, Pickering, Shaw, Frampton, Henderson, Hutchison, Mehrtens, Robinson, Schollum, Westhuyzen, Celi, McGinley, Campbell, George (CR34) 2010; 77 Hoste, Bagshaw, Bellomo, Cely, Colman, Cruz, Edipidis, Forni, Gomersall, Govil, Honoré, Joannes-Boyau, Joannidis, Korhonen, Lavrentieva, Mehta, Palevsky, Roessler, Ronco, Uchino, Vazquez, Vidal Andrade, Webb, Kellum (CR1) 2015; 41 Haase-Fielitz, Bellomo, Devarajan, Story, Matalanis, Dragun, Haase (CR15) 2009; 37 Royakkers, Bouman, Stassen, Korevaar, Binnekade, van de Hoek, Kuiper, Spronk, Schultz (CR52) 2012; 2012 Ducharme, Smythe, Strohs (CR90) 1993; 27 Herget-Rosenthal, Marggraf, Husing, Goring, Pietruck, Janssen, Philipp, Kribben (CR37) 2004; 66 McIlroy, Farkas, Matto, Lee (CR65) 2015; 43 Albeladi, Algethamy (CR27) 2017; 7 Srisawat, Murugan, Lee, Kong, Carter, Angus, Kellum (CR25) 2011; 80 Nejat, Pickering, Walker, Endre (CR44) 2010; 25 Moher, Liberati, Tetzlaff, Altman (CR10) 2009; 6 Nisula, Yang, Kaukonen, Vaara, Kuitunen, Tenhunen, Pettila, Korhonen (CR45) 2014; 119 Haines, Crichton, Wilson, Treacher, Ostermann (CR36) 2017; 21 Garcia-Alvarez, Glassford, Betbese, Ordonez, Banos, Argilaga, Martinez, Suzuki, Schneider, Eastwood, Victoria Moral, Bellomo (CR60) 2015; 29 CR79 Lehner, Forni, Joannidis (CR86) 2016; 134 Bouman, Forni, Joannidis (CR98) 2010; 36 Rewa, Wald, Adhikari, Hladunewich, Lapinsky, Muscedere, Bagshaw, Smith, Lebovic, Kuint, Klein (CR24) 2015; 30 Martensson, Bellomo (CR82) 2014; 37 Endre, Pickering, Walker, Devarajan, Edelstein, Bonventre, Frampton, Bennett, Ma, Sabbisetti, Vaidya, Walcher, Shaw, Henderson, Nejat, Schollum, George (CR33) 2011; 79 Tiranathanagul, Amornsuntorn, Avihingsanon, Srisawat, Susantitaphong, Praditpornsilpa, Tungsanga, Eiam-Ong (CR56) 2013; 17 Delanaye, Cavalier, Morel, Mehdi, Maillard, Claisse, Lambermont, Dubois, Damas, Krzesinski, Lautrette, Mariat (CR88) 2014; 15 Wald, Adhikari, Smith, Weir, Pope, Cohen, Thorpe, McIntyre, Lamontagne, Soth, Herridge, Lapinsky, Clark, Garg, Hiremath, Klein, Mazer, Richardson, Wilcox, Friedrich, Burns, Bagshaw (CR100) 2015; 88 Dusse, Edayadiyil-Dudasova, Thielmann, Wendt, Kahlert, Demircioglu, Jakob, Schaefer, Pilarczyk (CR63) 2016; 16 Bell, Larsson, Venge, Bellomo, Martensson (CR85) 2015; 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9 Hoste, McCullough, Kashani, Chawla, Joannidis, Shaw, Feldkamp, Uettwiller-Geiger, McCarthy, Shi, Walker, Kellum, Sapphire (CR104) 2014; 29 Gocze, Koch, Renner, Zeman, Graf, Dahlke, Nerlich, Schlitt, Kellum, Bein (CR67) 2015; 10 CR11 Ostermann, Joannidis, Pani, Floris, De Rosa, Kellum, Ronco (CR102) 2016; 42 Park, Choi, Kim, Hwang, Lee (CR22) 2013; 18 Viechtbauer (CR16) 2010; 2010 Drey, Behnes, Kob, Lepiorz, Hettwer, Bollheimer, Sieber, Bertsch, Hoffmann (CR73) 2015; 61 Srisawat, Laoveeravat, Limphunudom, Lumlertgul, Peerapornratana, Tiranathanagul, Susantitaphong, Praditpornsilpa, Tungsanga, Eiam-Ong (CR101) 2017; 43 Whiting, Rutjes, Westwood, Mallett, Deeks, Reitsma, Leeflang, Sterne, Bossuyt (CR12) 2011; 155 Haase, Bellomo, Devarajan, Schlattmann, Haase-Fielitz (CR81) 2009; 54 Smith, Wald, Adhikari, Pope, Weir, Bagshaw (CR99) 2013; 14 Joannidis, Druml, Forni, Groeneveld, Honore, Hoste, Ostermann, Oudemans-van Straaten, Schetz (CR3) 2017; 43 Kashani, Al-Khafaji, Ardiles, Artigas, Bagshaw, Bell, Bihorac, Birkhahn, Cely, Chawla, Davison, Feldkamp, Forni, Gong, Gunnerson, Haase, Hackett, Honore, Hoste, Joannes-Boyau, Joannidis, Kim, Koyner, Laskowitz, Lissauer, Marx, McCullough, Mullaney, Ostermann, Rimmele, Shapiro, Shaw, Shi, Sprague, Vincent, Vinsonneau, Wagner, Walker, Wilkerson, Zacharowski, Kellum (CR84) 2013; 17 Pickering, Endre (CR48) 2013; 35 Nisula, Yang, Poukkanen, Vaara, Kaukonen, Tallgren, Haapio, Tenhunen, Korhonen, Pettila (CR46) 2015; 114 Hu, Ren, Wu, Li, Wu, Liu, Wang, Gu, Ren, Hong, Li (CR69) 2017; 48 Martensson, Vaara, Pettila, Ala-Kokko, Karlsson, Inkinen, Uusaro, Larsson, Bell (CR43) 2017; 61 Lukasz, Beneke, Menne, Vetter, Schmidt, Schiffer, Haller, Kumpers, Kielstein (CR78) 2014; 111 Susantitaphong, Perianayagam, Kang, Zhang, Rao, O’Connor, Jaber (CR26) 2012; 122 Mahdavi-Mazdeh, Amerian, Abdollahi, Hatmi, Khatami (CR71) 2012; 3 Endre, Pickering, Walker (CR87) 2011; 301 Hanson, Hasan, Royakkers, Alam, Charunwatthana, Maude, Douthwaite, Yunus, Mantha, Schultz, Faiz, White, Day, Dondorp (CR75) 2011; 10 Bagshaw, Bennett, Haase, Haase-Fielitz, Egi, Morimatsu, D’Amico, Goldsmith, Devarajan, Bellomo (CR28) 2010; 36 Koyner, Davison, Brasha-Mitchell, Chalikonda, Arthur, Shaw, Tumlin, Trevino, Bennett, Kimmel, Seneff, Chawla (CR40) 2015; 26 Sterne, Sutton, Ioannidis, Terrin, Jones, Lau, Carpenter, Rucker, Harbord, Schmid, Tetzlaff, Deeks, Peters, Macaskill, Schwarzer, Duval, Altman, Moher, Higgins (CR13) 2011; 343 Beitland, Joannidis (CR7) 2018; 62 Kim, Hur, Lee, Marino, Magrini, Cardelli, Struck, Bergmann, Hartmann, Di Somma, Network (CR74) 2017; 37 Jalkanen, Yang, Linko, Huhtala, Okkonen, Varpula, Pettila, Tenhunen (CR39) 2013; 39 DN Cruz (5126_CR30) 2009; 36 NJ Glassford (5126_CR35) 2013; 39 M Sumida (5126_CR62) 2014; 78 MP Ducharme (5126_CR90) 1993; 27 S Nisula (5126_CR45) 2014; 119 H Kim (5126_CR74) 2017; 37 N Srisawat (5126_CR101) 2017; 43 D Moher (5126_CR10) 2009; 6 A Gaipov (5126_CR66) 2015; 37 SS Waikar (5126_CR97) 2009; 24 K Plewes (5126_CR76) 2017; 17 ZH Endre (5126_CR34) 2010; 77 S Gaudry (5126_CR4) 2016; 375 DR McIlroy (5126_CR65) 2015; 43 5126_CR83 J Martensson (5126_CR43) 2017; 61 HP Shum (5126_CR68) 2015; 20 AA Royakkers (5126_CR52) 2012; 2012 PB Hjortrup (5126_CR72) 2015; 59 J Du (5126_CR59) 2013; 8 JW Pickering (5126_CR48) 2013; 35 A Lukasz (5126_CR78) 2014; 111 K Cemil (5126_CR18) 2014; 64 LG Forni (5126_CR6) 2017; 43 5126_CR79 S Herget-Rosenthal (5126_CR37) 2004; 66 F Dusse (5126_CR63) 2016; 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References_xml	– volume: 24 start-page: 3349 year: 2009 end-page: 3354 ident: CR64 article-title: The predictive performance of plasma neutrophil gelatinase-associated lipocalin (NGAL) increases with grade of acute kidney injury publication-title: Nephrol Dial Transplant doi: 10.1093/ndt/gfp234 – volume: 25 start-page: 1621 year: 2014 end-page: 1629 ident: CR96 article-title: Key concepts and limitations of statistical methods for evaluating biomarkers of kidney disease publication-title: J Am Soc Nephrol doi: 10.1681/ASN.2013121300 – volume: 36 start-page: 452 year: 2010 end-page: 461 ident: CR28 article-title: Plasma and urine neutrophil gelatinase-associated lipocalin in septic versus non-septic acute kidney injury in critical illness publication-title: Intensive Care Med doi: 10.1007/s00134-009-1724-9 – volume: 36 start-page: 381 year: 2010 end-page: 384 ident: CR98 article-title: Biomarkers and acute kidney injury: dining with the Fisher King? publication-title: Intensive Care Med doi: 10.1007/s00134-009-1733-8 – volume: 37 start-page: 553 year: 2009 end-page: 560 ident: CR15 article-title: Novel and conventional serum biomarkers predicting acute kidney injury in adult cardiac surgery—a prospective cohort study publication-title: Crit Care Med doi: 10.1097/CCM.0b013e318195846e – volume: 62 start-page: 2 year: 2018 end-page: 5 ident: CR7 article-title: Biomarkers of acute kidney injury—a mission impossible? publication-title: Acta Anaesthesiol Scand doi: 10.1111/aas.13010 – volume: 155 start-page: 529 year: 2011 end-page: 536 ident: CR12 article-title: QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies publication-title: Ann Intern Med doi: 10.7326/0003-4819-155-8-201110180-00009 – volume: 3 start-page: 176 year: 2012 end-page: 182 ident: CR71 article-title: Comparison of serum neutrophil gelatinase-associated lipocalin (NGAL) with serum creatinine in prediction of kidney recovery after renal transplantation publication-title: Int J Organ Transplant Med – volume: 122 start-page: 107 year: 2012 end-page: 113 ident: CR26 article-title: Association of functional kallikrein-1 promoter polymorphisms and acute kidney injury: a case-control and longitudinal cohort study publication-title: Nephron Clin Pract doi: 10.1159/000350733 – volume: 107 start-page: 446 year: 2017 end-page: 450 ident: CR80 article-title: Validating the utilisation of venous bicarbonate as a predictor of acute kidney injury in crush syndrome from sjambok injuries publication-title: S Afr Med J doi: 10.7196/SAMJ.2017.v107i5.12213 – volume: 43 start-page: 36 year: 2017 end-page: 41 ident: CR101 article-title: The effect of early renal replacement therapy guided by plasma neutrophil gelatinase associated lipocalin on outcome of acute kidney injury: a feasibility study publication-title: J Crit Care doi: 10.1016/j.jcrc.2017.08.029 – volume: 143 start-page: 29 year: 1982 end-page: 36 ident: CR14 article-title: The meaning and use of the area under a receiver operating characteristic (ROC) curve publication-title: Radiology doi: 10.1148/radiology.143.1.7063747 – volume: 42 start-page: 202 year: 2016 end-page: 213 ident: CR32 article-title: FABP1 and FABP3 have high predictive values for renal replacement therapy in patients with acute kidney injury publication-title: Blood Purif doi: 10.1159/000447115 – volume: 66 start-page: 1115 year: 2004 end-page: 1122 ident: CR37 article-title: Early detection of acute renal failure by serum cystatin C publication-title: Kidney Int doi: 10.1111/j.1523-1755.2004.00861.x – volume: 39 start-page: 489 year: 2013 end-page: 496 ident: CR39 article-title: SuPAR and PAI-1 in critically ill, mechanically ventilated patients publication-title: Intensive Care Med doi: 10.1007/s00134-012-2730-x – ident: CR11 – volume: 114 start-page: 460 year: 2015 end-page: 468 ident: CR46 article-title: Predictive value of urine interleukin-18 in the evolution and outcome of acute kidney injury in critically ill adult patients publication-title: Br J Anaesth doi: 10.1093/bja/aeu382 – volume: 6 start-page: e1000097 year: 2009 ident: CR10 article-title: Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement publication-title: PLoS Med doi: 10.1371/journal.pmed.1000097 – volume: 315 start-page: 2190 year: 2016 end-page: 2199 ident: CR5 article-title: Effect of early vs delayed initiation of renal replacement therapy on mortality in critically ill patients with acute kidney injury: the ELAIN randomized clinical trial publication-title: JAMA doi: 10.1001/jama.2016.5828 – volume: 64 start-page: 739 year: 2014 end-page: 742 ident: CR18 article-title: The value of serum NGAL in determination of dialysis indication publication-title: J Pak Med Assoc – volume: 23 start-page: 322 year: 2012 end-page: 333 ident: CR51 article-title: Test characteristics of urinary biomarkers depend on quantitation method in acute kidney injury publication-title: J Am Soc Nephrol doi: 10.1681/ASN.2011040325 – year: 2016 ident: CR17 publication-title: R: a language and environment for statistical computing – volume: 25 start-page: 3283 year: 2010 end-page: 3289 ident: CR44 article-title: Rapid detection of acute kidney injury by plasma cystatin C in the intensive care unit publication-title: Nephrol Dial Transplant doi: 10.1093/ndt/gfq176 – volume: 112 start-page: 437 year: 2017 end-page: 443 ident: CR103 article-title: Renal replacement therapy in acute kidney injury publication-title: Med Klin Intensivmed Notfmed doi: 10.1007/s00063-017-0290-0 – volume: 17 start-page: 332 year: 2013 end-page: 338 ident: CR56 article-title: Potential role of neutrophil gelatinase-associated lipocalin in identifying critically ill patients with acute kidney injury stages 2–3 who subsequently require renal replacement therapy publication-title: Ther Apheresis Dial doi: 10.1111/1744-9987.12004 – volume: 24 start-page: 3263 year: 2009 end-page: 3265 ident: CR97 article-title: Creatinine as the gold standard for kidney injury biomarker studies? publication-title: Nephrol Dial Transplant doi: 10.1093/ndt/gfp428 – volume: 17 start-page: 313 year: 2017 ident: CR76 article-title: Cell-free hemoglobin mediated oxidative stress is associated with acute kidney injury and renal replacement therapy in severe falciparum malaria: an observational study publication-title: BMC Infect Dis doi: 10.1186/s12879-017-2373-1 – volume: 20 start-page: 375 year: 2015 end-page: 382 ident: CR68 article-title: Predictive value of plasma neutrophil gelatinase-associated lipocalin for acute kidney injury in intensive care unit patients after major non-cardiac surgery publication-title: Nephrology (Carlton) doi: 10.1111/nep.12400 – volume: 10 start-page: 217 year: 2011 ident: CR75 article-title: Laboratory prediction of the requirement for renal replacement in acute falciparum malaria publication-title: Malar J doi: 10.1186/1475-2875-10-217 – volume: 7 start-page: 62 year: 2017 end-page: 77 ident: CR27 article-title: Urinary neutrophil gelatinase-associated lipocalin as a predictor of acute kidney injury, severe kidney injury, and the need for renal replacement therapy in the intensive care unit publication-title: Nephron Extra doi: 10.1159/000477469 – volume: 57 start-page: 855 year: 2013 end-page: 862 ident: CR42 article-title: Plasma neutrophil gelatinase-associated lipocalin and adverse outcome in critically ill patients with ventilatory support publication-title: Acta Anaesthesiol Scand doi: 10.1111/aas.12112 – volume: 37 start-page: 388 year: 2017 end-page: 397 ident: CR74 article-title: Proenkephalin, neutrophil gelatinase-associated lipocalin, and estimated glomerular filtration rates in patients with sepsis publication-title: Ann Lab Med doi: 10.3343/alm.2017.37.5.388 – volume: 4 start-page: 200 year: 1979 end-page: 222 ident: CR89 article-title: Use of serum creatinine concentrations to determine renal function publication-title: Clin Pharmacokinet doi: 10.2165/00003088-197904030-00003 – volume: 375 start-page: 122 year: 2016 end-page: 133 ident: CR4 article-title: Initiation strategies for renal-replacement therapy in the intensive care unit publication-title: N Engl J Med doi: 10.1056/NEJMoa1603017 – volume: 59 start-page: 25 year: 2015 end-page: 34 ident: CR72 article-title: Predictive value of NGAL for use of renal replacement therapy in patients with severe sepsis publication-title: Acta Anaesthesiol Scand doi: 10.1111/aas.12427 – ident: CR83 – volume: 28 start-page: 1392 year: 2015 end-page: 1404 ident: CR70 article-title: Evaluation of biomarkers of cell cycle arrest and inflammation in prediction of dialysis or recovery after kidney transplantation publication-title: Transpl Int doi: 10.1111/tri.12636 – volume: 29 start-page: 2054 year: 2014 end-page: 2061 ident: CR104 article-title: Derivation and validation of cutoffs for clinical use of cell cycle arrest biomarkers publication-title: Nephrol Dial Transplant doi: 10.1093/ndt/gfu292 – volume: 42 start-page: 224 year: 2016 end-page: 237 ident: CR102 article-title: Patient selection and timing of continuous renal replacement therapy publication-title: Blood Purif doi: 10.1159/000448506 – volume: 16 start-page: R107 year: 2012 ident: CR49 article-title: Four hour creatinine clearance is better than plasma creatinine for monitoring renal function in critically ill patients publication-title: Crit Care doi: 10.1186/cc11391 – volume: 20 start-page: 299 year: 2016 ident: CR8 article-title: Acute kidney injury 2016: diagnosis and diagnostic workup publication-title: Crit Care doi: 10.1186/s13054-016-1478-z – volume: 48 start-page: 11 year: 2017 end-page: 17 ident: CR69 article-title: Urinary mitochondrial DNA levels identify acute kidney injury in surgical critical illness patients publication-title: Shock doi: 10.1097/SHK.0000000000000830 – volume: 8 start-page: e63390 year: 2013 ident: CR59 article-title: MicroRNA-21 and risk of severe acute kidney injury and poor outcomes after adult cardiac surgery publication-title: PLoS One doi: 10.1371/journal.pone.0063390 – volume: 80 start-page: 545 year: 2011 end-page: 552 ident: CR25 article-title: Plasma neutrophil gelatinase-associated lipocalin predicts recovery from acute kidney injury following community-acquired pneumonia publication-title: Kidney Int doi: 10.1038/ki.2011.160 – volume: 47 start-page: 696 year: 2017 end-page: 701 ident: CR38 article-title: Endothelial damage signals refractory acute kidney injury in critically ill patients publication-title: Shock doi: 10.1097/SHK.0000000000000804 – volume: 41 start-page: 1411 year: 2015 end-page: 1423 ident: CR1 article-title: Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study publication-title: Intensive Care Med doi: 10.1007/s00134-015-3934-7 – volume: 2 start-page: 247 year: 2012 end-page: 255 ident: CR41 article-title: Predictors of renal replacement therapy in acute kidney injury publication-title: Nephron Extra doi: 10.1159/000342257 – volume: 183 start-page: 907 year: 2011 end-page: 914 ident: CR31 article-title: Neutrophil gelatinase-associated lipocalin at ICU admission predicts for acute kidney injury in adult patients publication-title: Am J Respir Crit Care Med doi: 10.1164/rccm.200908-1214OC – volume: 8 start-page: 184 year: 2013 end-page: 193 ident: CR58 article-title: Urinary angiotensinogen and risk of severe AKI publication-title: Clin J Am Soc Nephrol doi: 10.2215/CJN.06280612 – volume: 77 start-page: 1020 year: 2010 end-page: 1030 ident: CR34 article-title: Early intervention with erythropoietin does not affect the outcome of acute kidney injury (the EARLYARF trial) publication-title: Kidney Int doi: 10.1038/ki.2010.25 – volume: 21 start-page: 88 year: 2017 ident: CR36 article-title: Cardiac biomarkers are associated with maximum stage of acute kidney injury in critically ill patients: a prospective analysis publication-title: Crit Care doi: 10.1186/s13054-017-1674-5 – volume: 39 start-page: 857 year: 2013 end-page: 865 ident: CR77 article-title: Accuracy of plasma neutrophil gelatinase-associated lipocalin in the early diagnosis of contrast-induced acute kidney injury in critical illness publication-title: Intensive Care Med doi: 10.1007/s00134-013-2826-y – volume: 343 start-page: d4002 year: 2011 ident: CR13 article-title: Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials publication-title: BMJ doi: 10.1136/bmj.d4002 – volume: 43 start-page: 1043 year: 2015 end-page: 1052 ident: CR65 article-title: Neutrophil gelatinase-associated lipocalin combined with delta serum creatinine provides early risk stratification for adverse outcomes after cardiac surgery: a prospective observational study publication-title: Crit Care Med doi: 10.1097/CCM.0000000000000927 – volume: 54 start-page: 1012 year: 2009 end-page: 1024 ident: CR81 article-title: Accuracy of neutrophil gelatinase-associated lipocalin (NGAL) in diagnosis and prognosis in acute kidney injury: a systematic review and meta-analysis publication-title: Am J Kidney Dis doi: 10.1053/j.ajkd.2009.07.020 – volume: 27 start-page: 622 year: 1993 end-page: 633 ident: CR90 article-title: Drug-induced alterations in serum creatinine concentrations publication-title: Ann Pharmacother doi: 10.1177/106002809302700518 – volume: 61 start-page: 1286 year: 2017 end-page: 1295 ident: CR43 article-title: Assessment of plasma endostatin to predict acute kidney injury in critically ill patients publication-title: Acta Anaesthesiol Scand doi: 10.1111/aas.12988 – volume: 29 start-page: 692.e6 year: 2014 ident: CR50 article-title: Prediction of the renal replacement therapy requirement in mechanically ventilated critically ill patients by combining biomarkers for glomerular filtration and tubular damage publication-title: J Crit Care doi: 10.1016/j.jcrc.2014.02.011 – volume: 38 start-page: 89 year: 2014 end-page: 95 ident: CR23 article-title: The level of the biomarkers at the time of nephrology consultation might predict the prognosis of acute kidney injury in hospitalized patients publication-title: Biomed Res Int – volume: 301 start-page: F697 year: 2011 end-page: F707 ident: CR87 article-title: Clearance and beyond: the complementary roles of GFR measurement and injury biomarkers in acute kidney injury (AKI) publication-title: Am J Physiol Ren Physiol doi: 10.1152/ajprenal.00448.2010 – volume: 16 start-page: 76 year: 2016 ident: CR63 article-title: Early prediction of acute kidney injury after transapical and transaortic aortic valve implantation with urinary G1 cell cycle arrest biomarkers publication-title: BMC Anesthesiol doi: 10.1186/s12871-016-0244-8 – volume: 119 start-page: 95 year: 2014 end-page: 102 ident: CR45 article-title: The urine protein NGAL predicts renal replacement therapy, but not acute kidney injury or 90-day mortality in critically ill adult patients publication-title: Anesth Analg doi: 10.1213/ANE.0000000000000243 – volume: 9 start-page: e110678 year: 2014 ident: CR93 article-title: Sustained elevation of resistin, NGAL and IL-8 are associated with severe sepsis/septic shock in the emergency department publication-title: PLoS One doi: 10.1371/journal.pone.0110678 – volume: 3 start-page: 78 year: 2017 end-page: 83 ident: CR20 article-title: Urinary mitochondrial DNA level as a biomarker of acute kidney injury severity publication-title: Kidney Dis (Basel) doi: 10.1159/000475883 – ident: CR9 – volume: 134 start-page: 183 year: 2016 end-page: 190 ident: CR86 article-title: Oliguria and biomarkers of acute kidney injury: star struck lovers or strangers in the night? publication-title: Nephron doi: 10.1159/000447979 – volume: 61 start-page: 69 year: 2015 end-page: 76 ident: CR73 article-title: C-terminal agrin fragment (CAF) reflects renal function in patients suffering from severe sepsis or septic shock publication-title: Clin Lab doi: 10.7754/Clin.Lab.2014.140724 – volume: 18 start-page: 256 year: 2013 end-page: 262 ident: CR22 article-title: Urinary cystatin C levels as a diagnostic and prognostic biomarker in patients with acute kidney injury publication-title: Nephrology (Carlton) doi: 10.1111/nep.12037 – volume: 43 start-page: e269 year: 2015 end-page: e275 ident: CR2 article-title: Transient and persistent acute kidney injury and the risk of hospital mortality in critically ill patients: results of a multicenter cohort study publication-title: Crit Care Med doi: 10.1097/CCM.0000000000001077 – volume: 37 start-page: 493 year: 2011 end-page: 501 ident: CR53 article-title: Serum and urine cystatin C are poor biomarkers for acute kidney injury and renal replacement therapy publication-title: Intensive Care Med doi: 10.1007/s00134-010-2087-y – volume: 37 start-page: 96 year: 2015 end-page: 102 ident: CR66 article-title: Serum uric acid may predict development of progressive acute kidney injury after open heart surgery publication-title: Ren Fail doi: 10.3109/0886022X.2014.976130 – volume: 39 start-page: 1714 year: 2013 end-page: 1724 ident: CR35 article-title: The nature and discriminatory value of urinary neutrophil gelatinase-associated lipocalin in critically ill patients at risk of acute kidney injury publication-title: Intensive Care Med doi: 10.1007/s00134-013-3040-7 – volume: 24 start-page: 877 year: 2013 end-page: 888 ident: CR92 article-title: Retooling the creatinine clearance equation to estimate kinetic GFR when the plasma creatinine is changing acutely publication-title: J Am Soc Nephrol doi: 10.1681/ASN.2012070653 – volume: 15 start-page: 9 year: 2014 ident: CR88 article-title: Detection of decreased glomerular filtration rate in intensive care units: serum cystatin C versus serum creatinine publication-title: BMC Nephrol doi: 10.1186/1471-2369-15-9 – volume: 84 start-page: 786 year: 2013 end-page: 794 ident: CR55 article-title: Distinct injury markers for the early detection and prognosis of incident acute kidney injury in critically ill adults with preserved kidney function publication-title: Kidney Int doi: 10.1038/ki.2013.174 – volume: 10 start-page: 202 year: 2017 end-page: 208 ident: CR47 article-title: The clinical utility of kinetic glomerular filtration rate publication-title: Clin Kidney J – volume: 43 start-page: 730 year: 2017 end-page: 749 ident: CR3 article-title: Prevention of acute kidney injury and protection of renal function in the intensive care unit: update 2017: expert opinion of the Working Group on Prevention, AKI section, European Society of Intensive Care Medicine publication-title: Intensive Care Med doi: 10.1007/s00134-017-4832-y – volume: 30 start-page: 1359 year: 2015 end-page: 1364 ident: CR24 article-title: Whole-blood neutrophil gelatinase-associated lipocalin to predict adverse events in acute kidney injury: a prospective observational cohort study publication-title: J Crit Care doi: 10.1016/j.jcrc.2015.08.019 – volume: 15 start-page: R186 year: 2011 ident: CR61 article-title: Urine hepcidin has additive value in ruling out cardiopulmonary bypass-associated acute kidney injury: an observational cohort study publication-title: Crit Care doi: 10.1186/cc10339 – volume: 17 start-page: R25 year: 2013 ident: CR84 article-title: Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury publication-title: Crit Care doi: 10.1186/cc12503 – volume: 43 start-page: 855 year: 2017 end-page: 866 ident: CR6 article-title: Renal recovery after acute kidney injury publication-title: Intensive Care Med doi: 10.1007/s00134-017-4809-x – volume: 88 start-page: 897 year: 2015 end-page: 904 ident: CR100 article-title: Comparison of standard and accelerated initiation of renal replacement therapy in acute kidney injury publication-title: Kidney Int doi: 10.1038/ki.2015.184 – volume: 36 start-page: 444 year: 2009 end-page: 451 ident: CR30 article-title: Plasma neutrophil gelatinase-associated lipocalin is an early biomarker for acute kidney injury in an adult ICU population publication-title: Intensive Care Med doi: 10.1007/s00134-009-1711-1 – volume: 111 start-page: 365 year: 2014 end-page: 372 ident: CR78 article-title: Serum neutrophil gelatinase-associated lipocalin (NGAL) in patients with Shiga toxin mediated haemolytic uraemic syndrome (STEC-HUS) publication-title: Thromb Haemost doi: 10.1160/TH13-05-0387 – volume: 35 start-page: 295 year: 2013 end-page: 302 ident: CR48 article-title: The clinical utility of plasma neutrophil gelatinase-associated lipocalin in acute kidney injury publication-title: Blood Purif doi: 10.1159/000351542 – ident: CR79 – volume: 2010 start-page: 48 issue: 36 year: 2010 ident: CR16 article-title: Conducting meta-analyses in R with the metafor package publication-title: J Stat Softw – volume: 9 start-page: 10 year: 2014 ident: CR57 article-title: Early postoperative serum cystatin C predicts severe acute kidney injury following cardiac surgery: a post hoc analysis of a randomized controlled trial publication-title: J Cardiothorac Surg doi: 10.1186/1749-8090-9-10 – volume: 50 start-page: 552 year: 2004 end-page: 558 ident: CR19 article-title: Prognostic value of tubular proteinuria and enzymuria in nonoliguric acute tubular necrosis publication-title: Clin Chem doi: 10.1373/clinchem.2003.027763 – volume: 25 start-page: 176 year: 2010 ident: CR29 article-title: Plasma neutrophil gelatinase-associated lipocalin is an early marker of acute kidney injury in adult critically ill patients: a prospective study publication-title: J Crit Care doi: 10.1016/j.jcrc.2009.05.010 – volume: 14 start-page: 320 year: 2013 ident: CR99 article-title: Standard versus accelerated initiation of renal replacement therapy in acute kidney injury (STARRT-AKI): study protocol for a randomized controlled trial publication-title: Trials doi: 10.1186/1745-6215-14-320 – volume: 10 start-page: e0120863 year: 2015 ident: CR67 article-title: Urinary biomarkers TIMP-2 and IGFBP7 early predict acute kidney injury after major surgery publication-title: PLoS One doi: 10.1371/journal.pone.0120863 – volume: 36 start-page: 1333 year: 2010 end-page: 1340 ident: CR95 article-title: Neutrophil gelatinase-associated lipocalin in adult septic patients with and without acute kidney injury publication-title: Intensive Care Med doi: 10.1007/s00134-010-1887-4 – volume: 37 start-page: 304 year: 2014 end-page: 310 ident: CR82 article-title: The rise and fall of NGAL in acute kidney injury publication-title: Blood Purif doi: 10.1159/000364937 – volume: 78 start-page: 1891 year: 2014 end-page: 1899 ident: CR62 article-title: Perioperative plasma neutrophil gelatinase-associated lipocalin measurement in patients who undergo left ventricular assist device implantation surgery publication-title: Circ J doi: 10.1253/circj.CJ-14-0008 – volume: 5 start-page: 1497 year: 2010 end-page: 1505 ident: CR54 article-title: Elevated urinary IL-18 levels at the time of ICU admission predict adverse clinical outcomes publication-title: Clin J Am Soc Nephrol doi: 10.2215/CJN.09061209 – volume: 26 start-page: 2023 year: 2015 end-page: 2031 ident: CR40 article-title: Furosemide stress test and biomarkers for the prediction of AKI severity publication-title: J Am Soc Nephrol doi: 10.1681/ASN.2014060535 – volume: 68 start-page: 1420 year: 2016 end-page: 1431 ident: CR21 article-title: Neutrophil gelatinase-associated lipocalin for acute kidney injury during acute heart failure hospitalizations: the AKINESIS study publication-title: J Am Coll Cardiol doi: 10.1016/j.jacc.2016.06.055 – volume: 2015 start-page: 158658 year: 2015 ident: CR85 article-title: Assessment of cell-cycle arrest biomarkers to predict early and delayed acute kidney injury publication-title: Dis Markers doi: 10.1155/2015/158658 – volume: 66 start-page: 611 year: 2017 end-page: 619 ident: CR94 article-title: Resistin and NGAL are associated with inflammatory response, endothelial activation and clinical outcomes in sepsis publication-title: Inflamm Res doi: 10.1007/s00011-017-1043-5 – volume: 6 start-page: 8 year: 2013 end-page: 14 ident: CR91 article-title: The RIFLE and AKIN classifications for acute kidney injury: a critical and comprehensive review publication-title: Clin Kidney J doi: 10.1093/ckj/sfs160 – volume: 79 start-page: 1119 year: 2011 end-page: 1130 ident: CR33 article-title: Improved performance of urinary biomarkers of acute kidney injury in the critically ill by stratification for injury duration and baseline renal function publication-title: Kidney Int doi: 10.1038/ki.2010.555 – volume: 2012 start-page: 712695 year: 2012 ident: CR52 article-title: Systemic and urinary neutrophil gelatinase-associated lipocalins are poor predictors of acute kidney injury in unselected critically ill patients publication-title: Crit Care Res Pract – volume: 29 start-page: 1480 year: 2015 end-page: 1488 ident: CR60 article-title: Urinary neutrophil gelatinase-associated lipocalin as predictor of short- or long-term outcomes in cardiac surgery patients publication-title: J Cardiothorac Vasc Anesth doi: 10.1053/j.jvca.2015.05.060 – volume: 37 start-page: 493 year: 2011 ident: 5126_CR53 publication-title: Intensive Care Med doi: 10.1007/s00134-010-2087-y – volume: 4 start-page: 200 year: 1979 ident: 5126_CR89 publication-title: Clin Pharmacokinet doi: 10.2165/00003088-197904030-00003 – volume-title: R: a language and environment for statistical computing year: 2016 ident: 5126_CR17 – volume: 183 start-page: 907 year: 2011 ident: 5126_CR31 publication-title: Am J Respir Crit Care Med doi: 10.1164/rccm.200908-1214OC – volume: 35 start-page: 295 year: 2013 ident: 5126_CR48 publication-title: Blood Purif doi: 10.1159/000351542 – volume: 20 start-page: 375 year: 2015 ident: 5126_CR68 publication-title: Nephrology (Carlton) doi: 10.1111/nep.12400 – volume: 64 start-page: 739 year: 2014 ident: 5126_CR18 publication-title: J Pak Med Assoc – volume: 38 start-page: 89 year: 2014 ident: 5126_CR23 publication-title: Biomed Res Int – volume: 112 start-page: 437 year: 2017 ident: 5126_CR103 publication-title: Med Klin Intensivmed Notfmed doi: 10.1007/s00063-017-0290-0 – volume: 3 start-page: 78 year: 2017 ident: 5126_CR20 publication-title: Kidney Dis (Basel) doi: 10.1159/000475883 – volume: 23 start-page: 322 year: 2012 ident: 5126_CR51 publication-title: J Am Soc Nephrol doi: 10.1681/ASN.2011040325 – volume: 343 start-page: d4002 year: 2011 ident: 5126_CR13 publication-title: BMJ doi: 10.1136/bmj.d4002 – volume: 8 start-page: e63390 year: 2013 ident: 5126_CR59 publication-title: PLoS One doi: 10.1371/journal.pone.0063390 – volume: 66 start-page: 1115 year: 2004 ident: 5126_CR37 publication-title: Kidney Int doi: 10.1111/j.1523-1755.2004.00861.x – volume: 9 start-page: 10 year: 2014 ident: 5126_CR57 publication-title: J Cardiothorac Surg doi: 10.1186/1749-8090-9-10 – volume: 42 start-page: 202 year: 2016 ident: 5126_CR32 publication-title: Blood Purif doi: 10.1159/000447115 – volume: 26 start-page: 2023 year: 2015 ident: 5126_CR40 publication-title: J Am Soc Nephrol doi: 10.1681/ASN.2014060535 – ident: 5126_CR11 doi: 10.1145/2110363.2110464 – volume: 15 start-page: R186 year: 2011 ident: 5126_CR61 publication-title: Crit Care doi: 10.1186/cc10339 – volume: 114 start-page: 460 year: 2015 ident: 5126_CR46 publication-title: Br J Anaesth doi: 10.1093/bja/aeu382 – volume: 29 start-page: 1480 year: 2015 ident: 5126_CR60 publication-title: J Cardiothorac Vasc Anesth doi: 10.1053/j.jvca.2015.05.060 – volume: 2012 start-page: 712695 year: 2012 ident: 5126_CR52 publication-title: Crit Care Res Pract – volume: 43 start-page: 1043 year: 2015 ident: 5126_CR65 publication-title: Crit Care Med doi: 10.1097/CCM.0000000000000927 – volume: 9 start-page: e110678 year: 2014 ident: 5126_CR93 publication-title: PLoS One doi: 10.1371/journal.pone.0110678 – volume: 155 start-page: 529 year: 2011 ident: 5126_CR12 publication-title: Ann Intern Med doi: 10.7326/0003-4819-155-8-201110180-00009 – volume: 66 start-page: 611 year: 2017 ident: 5126_CR94 publication-title: Inflamm Res doi: 10.1007/s00011-017-1043-5 – volume: 25 start-page: 3283 year: 2010 ident: 5126_CR44 publication-title: Nephrol Dial Transplant doi: 10.1093/ndt/gfq176 – volume: 2015 start-page: 158658 year: 2015 ident: 5126_CR85 publication-title: Dis Markers doi: 10.1155/2015/158658 – volume: 119 start-page: 95 year: 2014 ident: 5126_CR45 publication-title: Anesth Analg doi: 10.1213/ANE.0000000000000243 – volume: 10 start-page: 202 year: 2017 ident: 5126_CR47 publication-title: Clin Kidney J – volume: 68 start-page: 1420 year: 2016 ident: 5126_CR21 publication-title: J Am Coll Cardiol doi: 10.1016/j.jacc.2016.06.055 – volume: 54 start-page: 1012 year: 2009 ident: 5126_CR81 publication-title: Am J Kidney Dis doi: 10.1053/j.ajkd.2009.07.020 – volume: 24 start-page: 3263 year: 2009 ident: 5126_CR97 publication-title: Nephrol Dial Transplant doi: 10.1093/ndt/gfp428 – volume: 42 start-page: 224 year: 2016 ident: 5126_CR102 publication-title: Blood Purif doi: 10.1159/000448506 – volume: 39 start-page: 489 year: 2013 ident: 5126_CR39 publication-title: Intensive Care Med doi: 10.1007/s00134-012-2730-x – volume: 27 start-page: 622 year: 1993 ident: 5126_CR90 publication-title: Ann Pharmacother doi: 10.1177/106002809302700518 – volume: 61 start-page: 1286 year: 2017 ident: 5126_CR43 publication-title: Acta Anaesthesiol Scand doi: 10.1111/aas.12988 – volume: 37 start-page: 304 year: 2014 ident: 5126_CR82 publication-title: Blood Purif doi: 10.1159/000364937 – volume: 36 start-page: 1333 year: 2010 ident: 5126_CR95 publication-title: Intensive Care Med doi: 10.1007/s00134-010-1887-4 – volume: 6 start-page: 8 year: 2013 ident: 5126_CR91 publication-title: Clin Kidney J doi: 10.1093/ckj/sfs160 – volume: 43 start-page: 730 year: 2017 ident: 5126_CR3 publication-title: Intensive Care Med doi: 10.1007/s00134-017-4832-y – volume: 134 start-page: 183 year: 2016 ident: 5126_CR86 publication-title: Nephron doi: 10.1159/000447979 – volume: 301 start-page: F697 year: 2011 ident: 5126_CR87 publication-title: Am J Physiol Ren Physiol doi: 10.1152/ajprenal.00448.2010 – volume: 50 start-page: 552 year: 2004 ident: 5126_CR19 publication-title: Clin Chem doi: 10.1373/clinchem.2003.027763 – volume: 36 start-page: 381 year: 2010 ident: 5126_CR98 publication-title: Intensive Care Med doi: 10.1007/s00134-009-1733-8 – volume: 5 start-page: 1497 year: 2010 ident: 5126_CR54 publication-title: Clin J Am Soc Nephrol doi: 10.2215/CJN.09061209 – volume: 21 start-page: 88 year: 2017 ident: 5126_CR36 publication-title: Crit Care doi: 10.1186/s13054-017-1674-5 – volume: 122 start-page: 107 year: 2012 ident: 5126_CR26 publication-title: Nephron Clin Pract doi: 10.1159/000350733 – volume: 17 start-page: 313 year: 2017 ident: 5126_CR76 publication-title: BMC Infect Dis doi: 10.1186/s12879-017-2373-1 – volume: 78 start-page: 1891 year: 2014 ident: 5126_CR62 publication-title: Circ J doi: 10.1253/circj.CJ-14-0008 – volume: 30 start-page: 1359 year: 2015 ident: 5126_CR24 publication-title: J Crit Care doi: 10.1016/j.jcrc.2015.08.019 – volume: 62 start-page: 2 year: 2018 ident: 5126_CR7 publication-title: Acta Anaesthesiol Scand doi: 10.1111/aas.13010 – volume: 48 start-page: 11 year: 2017 ident: 5126_CR69 publication-title: Shock doi: 10.1097/SHK.0000000000000830 – volume: 107 start-page: 446 year: 2017 ident: 5126_CR80 publication-title: S Afr Med J doi: 10.7196/SAMJ.2017.v107i5.12213 – volume: 18 start-page: 256 year: 2013 ident: 5126_CR22 publication-title: Nephrology (Carlton) doi: 10.1111/nep.12037 – volume: 10 start-page: e0120863 year: 2015 ident: 5126_CR67 publication-title: PLoS One doi: 10.1371/journal.pone.0120863 – volume: 84 start-page: 786 year: 2013 ident: 5126_CR55 publication-title: Kidney Int doi: 10.1038/ki.2013.174 – volume: 29 start-page: 2054 year: 2014 ident: 5126_CR104 publication-title: Nephrol Dial Transplant doi: 10.1093/ndt/gfu292 – volume: 59 start-page: 25 year: 2015 ident: 5126_CR72 publication-title: Acta Anaesthesiol Scand doi: 10.1111/aas.12427 – volume: 41 start-page: 1411 year: 2015 ident: 5126_CR1 publication-title: Intensive Care Med doi: 10.1007/s00134-015-3934-7 – volume: 16 start-page: R107 year: 2012 ident: 5126_CR49 publication-title: Crit Care doi: 10.1186/cc11391 – volume: 14 start-page: 320 year: 2013 ident: 5126_CR99 publication-title: Trials doi: 10.1186/1745-6215-14-320 – volume: 375 start-page: 122 year: 2016 ident: 5126_CR4 publication-title: N Engl J Med doi: 10.1056/NEJMoa1603017 – volume: 2 start-page: 247 year: 2012 ident: 5126_CR41 publication-title: Nephron Extra doi: 10.1159/000342257 – volume: 43 start-page: 36 year: 2017 ident: 5126_CR101 publication-title: J Crit Care doi: 10.1016/j.jcrc.2017.08.029 – volume: 6 start-page: e1000097 year: 2009 ident: 5126_CR10 publication-title: PLoS Med doi: 10.1371/journal.pmed.1000097 – volume: 36 start-page: 452 year: 2010 ident: 5126_CR28 publication-title: Intensive Care Med doi: 10.1007/s00134-009-1724-9 – volume: 24 start-page: 3349 year: 2009 ident: 5126_CR64 publication-title: Nephrol Dial Transplant doi: 10.1093/ndt/gfp234 – volume: 17 start-page: R25 year: 2013 ident: 5126_CR84 publication-title: Crit Care doi: 10.1186/cc12503 – volume: 10 start-page: 217 year: 2011 ident: 5126_CR75 publication-title: Malar J doi: 10.1186/1475-2875-10-217 – volume: 7 start-page: 62 year: 2017 ident: 5126_CR27 publication-title: Nephron Extra doi: 10.1159/000477469 – volume: 315 start-page: 2190 year: 2016 ident: 5126_CR5 publication-title: JAMA doi: 10.1001/jama.2016.5828 – volume: 37 start-page: 96 year: 2015 ident: 5126_CR66 publication-title: Ren Fail doi: 10.3109/0886022X.2014.976130 – volume: 8 start-page: 184 year: 2013 ident: 5126_CR58 publication-title: Clin J Am Soc Nephrol doi: 10.2215/CJN.06280612 – volume: 16 start-page: 76 year: 2016 ident: 5126_CR63 publication-title: BMC Anesthesiol doi: 10.1186/s12871-016-0244-8 – volume: 39 start-page: 857 year: 2013 ident: 5126_CR77 publication-title: Intensive Care Med doi: 10.1007/s00134-013-2826-y – volume: 2010 start-page: 48 issue: 36 year: 2010 ident: 5126_CR16 publication-title: J Stat Softw – volume: 17 start-page: 332 year: 2013 ident: 5126_CR56 publication-title: Ther Apheresis Dial doi: 10.1111/1744-9987.12004 – volume: 3 start-page: 176 year: 2012 ident: 5126_CR71 publication-title: Int J Organ Transplant Med – volume: 47 start-page: 696 year: 2017 ident: 5126_CR38 publication-title: Shock doi: 10.1097/SHK.0000000000000804 – volume: 25 start-page: 1621 year: 2014 ident: 5126_CR96 publication-title: J Am Soc Nephrol doi: 10.1681/ASN.2013121300 – volume: 80 start-page: 545 year: 2011 ident: 5126_CR25 publication-title: Kidney Int doi: 10.1038/ki.2011.160 – volume: 61 start-page: 69 year: 2015 ident: 5126_CR73 publication-title: Clin Lab doi: 10.7754/Clin.Lab.2014.140724 – volume: 43 start-page: e269 year: 2015 ident: 5126_CR2 publication-title: Crit Care Med doi: 10.1097/CCM.0000000000001077 – volume: 88 start-page: 897 year: 2015 ident: 5126_CR100 publication-title: Kidney Int doi: 10.1038/ki.2015.184 – volume: 37 start-page: 388 year: 2017 ident: 5126_CR74 publication-title: Ann Lab Med doi: 10.3343/alm.2017.37.5.388 – volume: 20 start-page: 299 year: 2016 ident: 5126_CR8 publication-title: Crit Care doi: 10.1186/s13054-016-1478-z – volume: 143 start-page: 29 year: 1982 ident: 5126_CR14 publication-title: Radiology doi: 10.1148/radiology.143.1.7063747 – volume: 79 start-page: 1119 year: 2011 ident: 5126_CR33 publication-title: Kidney Int doi: 10.1038/ki.2010.555 – volume: 29 start-page: 692.e6 year: 2014 ident: 5126_CR50 publication-title: J Crit Care doi: 10.1016/j.jcrc.2014.02.011 – volume: 25 start-page: 176 year: 2010 ident: 5126_CR29 publication-title: J Crit Care doi: 10.1016/j.jcrc.2009.05.010 – volume: 43 start-page: 855 year: 2017 ident: 5126_CR6 publication-title: Intensive Care Med doi: 10.1007/s00134-017-4809-x – volume: 15 start-page: 9 year: 2014 ident: 5126_CR88 publication-title: BMC Nephrol doi: 10.1186/1471-2369-15-9 – volume: 77 start-page: 1020 year: 2010 ident: 5126_CR34 publication-title: Kidney Int doi: 10.1038/ki.2010.25 – ident: 5126_CR83 – volume: 57 start-page: 855 year: 2013 ident: 5126_CR42 publication-title: Acta Anaesthesiol Scand doi: 10.1111/aas.12112 – ident: 5126_CR79 doi: 10.1097/BCR.0000000000000605 – volume: 39 start-page: 1714 year: 2013 ident: 5126_CR35 publication-title: Intensive Care Med doi: 10.1007/s00134-013-3040-7 – volume: 28 start-page: 1392 year: 2015 ident: 5126_CR70 publication-title: Transpl Int doi: 10.1111/tri.12636 – volume: 24 start-page: 877 year: 2013 ident: 5126_CR92 publication-title: J Am Soc Nephrol doi: 10.1681/ASN.2012070653 – ident: 5126_CR9 – volume: 36 start-page: 444 year: 2009 ident: 5126_CR30 publication-title: Intensive Care Med doi: 10.1007/s00134-009-1711-1 – volume: 37 start-page: 553 year: 2009 ident: 5126_CR15 publication-title: Crit Care Med doi: 10.1097/CCM.0b013e318195846e – volume: 111 start-page: 365 year: 2014 ident: 5126_CR78 publication-title: Thromb Haemost doi: 10.1160/TH13-05-0387 – reference: 29651499 - Intensive Care Med. 2018 Jul;44(7):1156-1158. doi: 10.1007/s00134-018-5151-7.
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Snippet	Purpose Acute kidney injury (AKI) frequently occurs in critically ill patients and often precipitates use of renal replacement therapy (RRT). However, the... Acute kidney injury (AKI) frequently occurs in critically ill patients and often precipitates use of renal replacement therapy (RRT). However, the ideal... Purpose Acute kidney injury (AKI) frequently occurs in critically ill patients and often precipitates use of renal replacement therapy (RRT). However, the... PurposeAcute kidney injury (AKI) frequently occurs in critically ill patients and often precipitates use of renal replacement therapy (RRT). However, the ideal...
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SubjectTerms	Acute Kidney Injury - diagnosis Acute Kidney Injury - therapy Acute-Phase Proteins Analysis Anesthesiology Biological markers Biomarkers Clinical trials Creatinine Critical Care Medicine Cystatin C Decision making Emergency Medicine Evidence-based medicine Gelatinase Humans Injury analysis Insulin Intensive Intensive care Interleukin 18 Kidney transplantation Kidneys Lipocalin Lipocalin-2 Lipocalins Medical research Medicine Medicine & Public Health Medicine, Experimental Meta-analysis Metalloproteinase Pain Medicine Patients Pediatrics Pneumology/Respiratory System Precipitates Prospective Studies Protein binding Proto-Oncogene Proteins Renal Replacement Therapy Systematic Review Therapy Tissue Inhibitor of Metalloproteinase-2 Urine
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Title	Biomarkers for prediction of renal replacement therapy in acute kidney injury: a systematic review and meta-analysis
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