Prognostic Biomarkers and AKI: Potential to Enhance the Identification of Post-Operative Patients at Risk of Loss of Renal Function

References

• Rewa O, Bagshaw SM. Acute kidney injury-epidemiology, outcomes and economics. Nat Rev Nephrol. 2014;10(4):193–207. doi:10.1038/nrneph.2013.282
   PubMed Web of Science ®Google Scholar
• Bellomo R, Ronco C, Kellum JA, Mehta RL, Palevsky P. Acute dialysis quality initiative w. acute renal failure - definition, outcome measures, animal models, fluid therapy and information technology needs: the second international consensus conference of the acute dialysis quality initiative (ADQI) group. Crit Care. 2004;8(4):R204–12. doi:10.1186/cc2872
   PubMed Web of Science ®Google Scholar
• Kellum JA, Lameire N; Group KAGW. Diagnosis, evaluation, and management of acute kidney injury: a KDIGO summary (Part 1). Crit Care. 2013;17(1):204. doi:10.1186/cc11454
   PubMed Web of Science ®Google Scholar
• Zarbock A, Weiss R, Albert F, et al. Epidemiology of surgery associated acute kidney injury (EPIS-AKI): a prospective international observational multi-center clinical study. Intensive Care Med. 2023;2023. doi:10.1007/s00134-023-07169-7
   Google Scholar
• Murugan R, Kellum JA. Acute kidney injury: what’s the prognosis? Nat Rev Nephrol. 2011;7(4):209–217. doi:10.1038/nrneph.2011.13
   PubMed Web of Science ®Google Scholar
• Grams ME, Sang Y, Coresh J, et al. Acute kidney injury after major surgery: a retrospective analysis of veterans health administration data. Am J Kidney Dis. 2016;67(6):872–880. doi:10.1053/j.ajkd.2015.07.022
   PubMed Web of Science ®Google Scholar
• Bihorac A, Yavas S, Subbiah S, et al. Long-term risk of mortality and acute kidney injury during hospitalization after major surgery. Ann Surg. 2009;249(5):851–858. doi:10.1097/SLA.0b013e3181a40a0b
   PubMed Web of Science ®Google Scholar
• Myles PS, Bellomo R, Corcoran T, et al. Restrictive versus Liberal Fluid Therapy for Major Abdominal Surgery. N Engl J Med. 2018;378(24):2263–2274. doi:10.1056/NEJMoa1801601
   PubMed Web of Science ®Google Scholar
• Brunelli SM, Waikar SS, Bateman BT, et al. Preoperative statin use and postoperative acute kidney injury. Am J Med. 2012;125(12):1195–1204.e3. doi:10.1016/j.amjmed.2012.06.021
   PubMed Web of Science ®Google Scholar
• Kim JY, Joung KW, Kim KM, et al. Relationship between a perioperative intravenous fluid administration strategy and acute kidney injury following off-pump coronary artery bypass surgery: an observational study. Crit Care. 2015;19:350. doi:10.1186/s13054-015-1065-8
   PubMed Web of Science ®Google Scholar
• Kellum JA, Sileanu FE, Murugan R, Lucko N, Shaw AD, Clermont G. Classifying AKI by urine output versus serum creatinine level. J Am Soc Nephrol. 2015;26(9):2231–2238. doi:10.1681/asn.2014070724
   PubMed Web of Science ®Google Scholar
• Bellomo R, Kellum JA, Ronco C. Acute kidney injury. Lancet. 2012;380(9843):756–766. doi:10.1016/S0140-6736(11)61454-2
   PubMed Web of Science ®Google Scholar
• Coca SG, Singanamala S, Parikh CR. Chronic kidney disease after acute kidney injury: a systematic review and meta-analysis. Kidney Int. 2012;81(5):442–448. doi:10.1038/ki.2011.379
   PubMed Web of Science ®Google Scholar
• Johnson RJ, Feehally J, Floege J. Comprehensive Clinical Nephrology E-Book. Elsevier Health Sciences; 2014.
   Google Scholar
• Waikar SS, Bonventre JV. Creatinine kinetics and the definition of acute kidney injury. J Am Soc Nephrol. 2009;20(3):672–679. doi:10.1681/ASN.2008070669
   PubMed Web of Science ®Google Scholar
• Waikar SS, Betensky RA, Emerson SC, Bonventre JV. Imperfect gold standards for kidney injury biomarker evaluation. J Am Soc Nephrol. 2012;23(1):13–21. doi:10.1681/ASN.2010111124
   PubMed Web of Science ®Google Scholar
• Prowle JR, Leitch A, Kirwan CJ, Forni LG. Positive fluid balance and AKI diagnosis: assessing the extent and duration of ‘creatinine dilution’. Intensive Care Med. 2015;41(1):160–161. doi:10.1007/s00134-014-3538-7
   PubMed Web of Science ®Google Scholar
• Macedo E, Malhotra R, Bouchard J, Wynn SK, Mehta RL. Oliguria is an early predictor of higher mortality in critically ill patients. Kidney Int. 2011;80(7):760–767. doi:10.1038/ki.2011.150
   PubMed Web of Science ®Google Scholar
• Legrand M, Payen D. Understanding urine output in critically ill patients. Ann Intensive Care. 2011;1(1):13. doi:10.1186/2110-5820-1-13
   PubMedGoogle Scholar
• Ostermann M, Philips BJ, Forni LG. Clinical review: biomarkers of acute kidney injury: where are we now? Crit Care. 2012;16(5):233. doi:10.1186/cc11380
   PubMed Web of Science ®Google Scholar
• Coca SG, Parikh CR. Urinary biomarkers for acute kidney injury: perspectives on translation. Clin J Am Soc Nephrol. 2008;3(2):481–490. doi:10.2215/CJN.03520807
   PubMed Web of Science ®Google Scholar
• Malhotra R, Siew ED. Biomarkers for the early detection and prognosis of acute kidney injury. Clin J Am Soc Nephrol. 2017;12(1):149–173. doi:10.2215/CJN.01300216
   PubMed Web of Science ®Google Scholar
• Nisula S, Yang R, Kaukonen KM, et al. The urine protein NGAL predicts renal replacement therapy, but not acute kidney injury or 90-day mortality in critically ill adult patients. Anesth Analg. 2014;119(1):95–102. doi:10.1213/ANE.0000000000000243
   PubMed Web of Science ®Google Scholar
• Mishra J, Dent C, Tarabishi R, et al. Neutrophil gelatinase-associated lipocalin (NGAL) as a biomarker for acute renal injury after cardiac surgery. Lancet. 2005;365(9466):1231–1238. doi:10.1016/S0140-6736(05)74811-X
   PubMed Web of Science ®Google Scholar
• Siew ED, Ware LB, Gebretsadik T, et al. Urine neutrophil gelatinase-associated lipocalin moderately predicts acute kidney injury in critically ill adults. J Am Soc Nephrol. 2009;20(8):1823. doi:10.1681/ASN.2008070673
   PubMed Web of Science ®Google Scholar
• Bagshaw SM, Bennett M, Haase M, et al. Plasma and urine neutrophil gelatinase-associated lipocalin in septic versus non-septic acute kidney injury in critical illness. Intensive Care Med. 2010;36:452–461. doi:10.1007/s00134-009-1724-9
   PubMed Web of Science ®Google Scholar
• Koyner JL, Garg AX, Coca SG, et al. Biomarkers predict progression of acute kidney injury after cardiac surgery. J Am Soc Nephrol. 2012;23(5):905. doi:10.1681/ASN.2011090907
   PubMed Web of Science ®Google Scholar
• Au V, Feit J, Barasch J, Sladen RN, Wagener G. Urinary neutrophil gelatinase–associated lipocalin (NGAL) distinguishes sustained from transient acute kidney injury after general surgery. Kidney Int Rep. 2016;1(1):3–9. doi:10.1016/j.ekir.2016.04.003
   PubMedGoogle Scholar
• Kashani K, Al-Khafaji A, Ardiles T, et al. Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury. Crit Care. 2013;17(1):R25. doi:10.1186/cc12503
   PubMed Web of Science ®Google Scholar
• Gunnerson KJ, Shaw AD, Chawla LS, et al. TIMP2*IGFBP7 biomarker panel accurately predicts acute kidney injury in high-risk surgical patients. J Trauma Acute Care Surg. 2016;80(2):243–249. doi:10.1097/TA.0000000000000912
   PubMed Web of Science ®Google Scholar
• Gocze I, Koch M, Renner P, et al. Urinary biomarkers TIMP-2 and IGFBP7 early predict acute kidney injury after major surgery. PLoS One. 2015;10(3):e0120863. doi:10.1371/journal.pone.0120863
   PubMed Web of Science ®Google Scholar
• Meersch M, Schmidt C, Van Aken H, et al. Validation of cell-cycle arrest biomarkers for acute kidney injury after pediatric cardiac surgery. PLoS One. 2014;9(10):e110865. doi:10.1371/journal.pone.0110865
   PubMed Web of Science ®Google Scholar
• Koyner JL, Vaidya VS, Bennett MR, et al. Urinary biomarkers in the clinical prognosis and early detection of acute kidney injury. Clin J Am Soc Nephrol. 2010;5(12):2154. doi:10.2215/CJN.00740110
   PubMed Web of Science ®Google Scholar
• Nickolas TL, Schmidt-Ott KM, Canetta P, et al. Diagnostic and prognostic stratification in the emergency department using urinary biomarkers of nephron damage: a multicenter prospective cohort study. J Am Coll Cardiol. 2012;59(3):246–255. doi:10.1016/j.jacc.2011.10.854
   PubMed Web of Science ®Google Scholar
• WK H, Wagener G, Zhu Y, Wang S, HT L. Urinary biomarkers in the early detection of acute kidney injury after cardiac surgery. Clin J Am Soc Nephrol. 2009;4(5):873. doi:10.2215/CJN.04810908
   PubMed Web of Science ®Google Scholar
• Schunk SJ, Zarbock A, Meersch M, et al. Association between urinary dickkopf-3, acute kidney injury, and subsequent loss of kidney function in patients undergoing cardiac surgery: an observational cohort study. Lancet. 2019;394(10197):488–496. doi:10.1016/S0140-6736(19)30769-X
   PubMed Web of Science ®Google Scholar
• Hodgson LE, Dimitrov BD, Roderick PJ, Venn R, Forni LG. Predicting AKI in emergency admissions: an external validation study of the acute kidney injury prediction score (APS). BMJ Open. 2017;7(3):e013511. doi:10.1136/bmjopen-2016-013511
   PubMed Web of Science ®Google Scholar
• Hodgson LE, Sarnowski A, Roderick PJ, Dimitrov BD, Venn RM, Forni LG. Systematic review of prognostic prediction models for acute kidney injury (AKI) in general hospital populations. BMJ Open. 2017;7(9):e016591. doi:10.1136/bmjopen-2017-016591
   PubMed Web of Science ®Google Scholar
• Li T, Yang Y, Huang J, et al. Machine learning to predict post-operative acute kidney injury stage 3 after heart transplantation. BMC Cardiovas Dis. 2022;22(1):288. doi:10.1186/s12872-022-02721-7
   PubMed Web of Science ®Google Scholar
• Song X, Liu X, Liu F, Wang C. Comparison of machine learning and logistic regression models in predicting acute kidney injury: a systematic review and meta-analysis. Int J Med Inform. 2021;151:104484. doi:10.1016/j.ijmedinf.2021.104484
   PubMed Web of Science ®Google Scholar
• Bellini V, Valente M, Bertorelli G, et al. Machine learning in perioperative medicine: a systematic review. J Anesth Analg Critl Care. 2022;2(1):2. doi:10.1186/s44158-022-00033-y
   PubMedGoogle Scholar
• Benzing T, Salant D. Insights into glomerular filtration and albuminuria. N Engl J Med. 2021;384(15):1437–1446. doi:10.1056/NEJMra1808786
   PubMed Web of Science ®Google Scholar
• MacKinnon KL, Molnar Z, Lowe D, Watson ID, Shearer E. Use of microalbuminuria as a predictor of outcome in critically ill patients. Br J Anaesth. 2000;84(2):239–241. doi:10.1093/oxfordjournals.bja.a013409
   PubMed Web of Science ®Google Scholar
• Ralib AM, Pickering JW, Shaw GM, Than MP, George PM, Endre ZH. The clinical utility window for acute kidney injury biomarkers in the critically ill. Crit Care. 2014;18(6):601. doi:10.1186/s13054-014-0601-2
   PubMed Web of Science ®Google Scholar
• Levey AS, Grams ME, Inker LA. Uses of GFR and albuminuria level in acute and chronic kidney disease. N Engl J Med. 2022;386(22):2120–2128. doi:10.1056/NEJMra2201153
   PubMed Web of Science ®Google Scholar
• Coca SG, Garg AX, Thiessen-Philbrook H, et al. Urinary biomarkers of AKI and mortality 3 years after cardiac surgery. J Am Soc Nephrol. 2014;25(5):1063–1071. doi:10.1681/ASN.2013070742
   PubMed Web of Science ®Google Scholar
• Coca SG, Jammalamadaka D, Sint K, et al. Preoperative proteinuria predicts acute kidney injury in patients undergoing cardiac surgery. J Thorac Cardiovasc Surg. 2012;143(2):495–502. doi:10.1016/j.jtcvs.2011.09.023
   PubMed Web of Science ®Google Scholar
• McMahon BA, Galligan M, Redahan L, et al. Biomarker predictors of adverse acute kidney injury outcomes in critically ill patients: the Dublin Acute Biomarker Group Evaluation Study. Am J Nephrol. 2019;50(1):19–28. doi:10.1159/000500231
   PubMed Web of Science ®Google Scholar
• Faubel S. SuPAR: a potential predictive biomarker for acute kidney injury. Nat Rev Nephrol. 2020;16(7):375–376. doi:10.1038/s41581-020-0276-7
   PubMed Web of Science ®Google Scholar
• Hayek SS, Leaf DE, Samman Tahhan A, et al. Soluble urokinase receptor and acute kidney injury. N Engl J Med. 2020;382(5):416–426. doi:10.1056/NEJMoa1911481
   PubMed Web of Science ®Google Scholar
• Huang Y, Huang S, Zhuo X, Lin M. Predictive value of suPAR in AKI: a systematic review and meta-analysis. Clin Exp Nephrol. 2023;27(1):1–11. doi:10.1007/s10157-022-02300-2
   PubMedGoogle Scholar
• Federico G, Meister M, Mathow D, et al. Tubular Dickkopf-3 promotes the development of renal atrophy and fibrosis. JCI Insight. 2016;1(1):e84916. doi:10.1172/jci.insight.84916
   PubMed Web of Science ®Google Scholar
• Zewinger S, Rauen T, Rudnicki M, et al. Dickkopf-3 (DKK3) in urine identifies patients with short-term risk of eGFR loss. J Am Soc Nephrol. 2018;29(11):2722–2733. doi:10.1681/ASN.2018040405
   PubMed Web of Science ®Google Scholar
• Cavalcante C, Cavalcante MB, Castello Branco KMP, et al. Biomarkers of acute kidney injury in pediatric cardiac surgery. Pediatr Nephrol. 2022;37(1):61–78. doi:10.1007/s00467-021-05094-9
   PubMed Web of Science ®Google Scholar
• Baxmann AC, Ahmed MS, Marques NC, et al. Influence of muscle mass and physical activity on serum and urinary creatinine and serum cystatin C. Clin J Am Soc Nephrol. 2008;3(2):348–354. doi:10.2215/CJN.02870707
   PubMed Web of Science ®Google Scholar
• Ho J, Tangri N, Komenda P, et al. Urinary, plasma, and serum biomarkers’ utility for predicting acute kidney injury associated with cardiac surgery in adults: a meta-analysis. Am J Kidney Dis. 2015;66(6):993–1005. doi:10.1053/j.ajkd.2015.06.018
   PubMed Web of Science ®Google Scholar
• Yong Z, Pei X, Zhu B, Yuan H, Zhao W. Predictive value of serum cystatin C for acute kidney injury in adults: a meta-analysis of prospective cohort trials. Sci Rep. 2017;7:41012. doi:10.1038/srep41012
   PubMed Web of Science ®Google Scholar
• Donato LJ, Meeusen JW, Lieske JC, Bergmann D, Sparwasser A, Jaffe AS. Analytical performance of an immunoassay to measure proenkephalin. Clin Biochem. 2018;58:72–77. doi:10.1016/j.clinbiochem.2018.05.010
   PubMed Web of Science ®Google Scholar
• Matsue Y, Ter Maaten JM, Struck J, et al. Clinical correlates and prognostic value of proenkephalin in acute and chronic heart failure. J Card Fail. 2017;23(3):231–239. doi:10.1016/j.cardfail.2016.09.007
   PubMed Web of Science ®Google Scholar
• Marino R, Struck J, Hartmann O, et al. Diagnostic and short-term prognostic utility of plasma pro-enkephalin (pro-ENK) for acute kidney injury in patients admitted with sepsis in the emergency department. J Nephrol. 2015;28(6):717–724. doi:10.1007/s40620-014-0163-z
   PubMed Web of Science ®Google Scholar
• Khorashadi M, Beunders R, Pickkers P, Legrand M. Proenkephalin: a new biomarker for glomerular filtration rate and acute kidney injury. Nephron. 2020;144(12):655–661. doi:10.1159/000509352
   PubMed Web of Science ®Google Scholar
• Lima C, Gorab DL, Fernandes CR, Macedo E. Role of proenkephalin in the diagnosis of severe and subclinical acute kidney injury during the perioperative period of liver transplantation. Pract Laborat Med. 2022;31:e00278. doi:10.1016/j.plabm.2022.e00278
   PubMedGoogle Scholar
• Yang J, Goetz D, Li JY, et al. An iron delivery pathway mediated by a lipocalin. Mol Cell. 2002;10(5):1045–1056. doi:10.1016/s1097-2765(02)00710-4
   PubMed Web of Science ®Google Scholar
• Devireddy LR, Teodoro JG, Richard FA, Green MR. Induction of apoptosis by a secreted lipocalin that is transcriptionally regulated by IL-3 deprivation. Science. 2001;293:829–34. doi:10.1126/science.1061075
   PubMed Web of Science ®Google Scholar
• Schmidt-Ott KM, Mori K, Li JY, et al. Dual action of neutrophil gelatinase-associated lipocalin. J Am Soc Nephrol. 2007;18(2):407–413. doi:10.1681/ASN.2006080882
   PubMed Web of Science ®Google Scholar
• Haase M, Bellomo R, Devarajan P, Schlattmann P, Haase-Fielitz A; Group NM-aI. Accuracy of neutrophil gelatinase-associated lipocalin (NGAL) in diagnosis and prognosis in acute kidney injury: a systematic review and meta-analysis. Am J Kidney Dis. 2009;54(6):1012–1024. doi:10.1053/j.ajkd.2009.07.020
   PubMed Web of Science ®Google Scholar
• Martensson J, Bellomo R. The rise and fall of NGAL in acute kidney injury. Blood Purif. 2014;37(4):304–310. doi:10.1159/000364937
   PubMed Web of Science ®Google Scholar
• Parikh CR, Devarajan P, Zappitelli M, et al. Postoperative biomarkers predict acute kidney injury and poor outcomes after pediatric cardiac surgery. J Am Soc Nephrol. 2011;22(9):1737–1747. doi:10.1681/ASN.2010111163
   PubMed Web of Science ®Google Scholar
• Parikh CR, Moledina DG, Coca SG, Thiessen-Philbrook HR, Garg AX. Application of new acute kidney injury biomarkers in human randomized controlled trials. Kidney Int. 2016;89(6):1372–1379. doi:10.1016/j.kint.2016.02.027
   PubMed Web of Science ®Google Scholar
• Freeman GJ, Casasnovas JM, Umetsu DT, DeKruyff RH. TIM genes: a family of cell surface phosphatidylserine receptors that regulate innate and adaptive immunity. Immunol Rev. 2010;235(1):172–189. doi:10.1111/j.0105-2896.2010.00903.x
   PubMed Web of Science ®Google Scholar
• Gavric A, Kalisnik JM. Novel biomarkers for early diagnosis of acute kidney injury after cardiac surgery in adults. Kardiochir Torakochirurgia Pol. 2016;13(1):31–38. doi:10.5114/kitp.2016.58962
   PubMedGoogle Scholar
• Vaidya VS, Ramirez V, Ichimura T, Bobadilla NA, Bonventre JV. Urinary kidney injury molecule-1: a sensitive quantitative biomarker for early detection of kidney tubular injury. Am J Physiol Renal Physiol. 2006;290(2):F517–29. doi:10.1152/ajprenal.00291.2005
   PubMed Web of Science ®Google Scholar
• Ghatanatti R, Teli A, Tirkey SS, Bhattacharya S, Sengupta G, Mondal A. Role of renal biomarkers as predictors of acute kidney injury in cardiac surgery. Asian Cardiovasc Thorac Ann. 2014;22(2):234–241. doi:10.1177/0218492313502028
   PubMedGoogle Scholar
• Koyner JL, Davison DL, Brasha-Mitchell E, et al. Furosemide stress test and biomarkers for the prediction of AKI severity. J Am Soc Nephrol. 2015;26(8):2023–2031. doi:10.1681/asn.2014060535
   PubMed Web of Science ®Google Scholar
• Brazzelli M, Aucott L, Aceves-Martins M, et al. Biomarkers for assessing acute kidney injury for people who are being considered for admission to critical care: a systematic review and cost-effectiveness analysis. Health Technol Assess. 2022;26(7):1–286. doi:10.3310/UGEZ4120
   Web of Science ®Google Scholar
• Lin X, Yuan J, Zhao Y, Zha Y. Urine interleukin-18 in prediction of acute kidney injury: a systemic review and meta-analysis. J Nephrol. 2015;28(1):7–16. doi:10.1007/s40620-014-0113-9
   PubMed Web of Science ®Google Scholar
• Chang CH, Fan PC, Lin CY, et al. Elevation of interleukin-18 correlates with cardiovascular, cerebrovascular, and peripheral vascular events: a cohort study of hemodialysis patients. Medicine. 2015;94(42):e1836. doi:10.1097/md.0000000000001836
   PubMed Web of Science ®Google Scholar
• Parikh CR, Thiessen-Philbrook H, Garg AX, et al. Performance of kidney injury molecule-1 and liver fatty acid-binding protein and combined biomarkers of AKI after cardiac surgery. Clin J Am Soc Nephrol. 2013;8(7):1079–1088. doi:10.2215/cjn.10971012
   PubMed Web of Science ®Google Scholar
• Peerapornratana S, Priyanka P, Wang S, et al. Sepsis-associated acute kidney disease. Kidney Int Rep. 2020;5(6):839–850. doi:10.1016/j.ekir.2020.03.005
   PubMed Web of Science ®Google Scholar
• Dihazi H, Koziolek MJ, Datta RR, et al. FABP1 and FABP3 have high predictive values for renal replacement therapy in patients with acute kidney injury. Blood Purif. 2016;42(3):202–213. doi:10.1159/000447115
   PubMed Web of Science ®Google Scholar
• Allard JB, Duan C. IGF-binding proteins: why do they exist and why are there so many? Review. Front Endocrinol. 2018;9. doi:10.3389/fendo.2018.00117
   PubMed Web of Science ®Google Scholar
• Degeorges A, Wang F, Frierson HF, Seth A, Sikes RA. Distribution of IGFBP-rP1 in normal human tissues. J Histochem Cytochem. 2000;48(6):747–754. doi:10.1177/002215540004800603
   PubMed Web of Science ®Google Scholar
• Nagase H, Visse R, Murphy G. Structure and function of matrix metalloproteinases and TIMPs. Cardiovasc Res. 2006;69(3):562–573. doi:10.1016/j.cardiores.2005.12.002
   PubMed Web of Science ®Google Scholar
• Wetz AJ, Richardt EM, Wand S, et al. Quantification of urinary TIMP-2 and IGFBP-7: an adequate diagnostic test to predict acute kidney injury after cardiac surgery? Crit Care. 2015;19(1):3. doi:10.1186/s13054-014-0717-4
   PubMedGoogle Scholar
• Su Y, Gong Z, Wu Y, Tian Y, Liao X. Diagnostic value of urine tissue inhibitor of metalloproteinase-2 and insulin-like growth factor-binding protein 7 for acute kidney injury: a meta-analysis. PLoS One. 2017;12(1):e0170214. doi:10.1371/journal.pone.0170214
   PubMed Web of Science ®Google Scholar
• Engelman DT, Ben Ali W, Williams JB, et al. Guidelines for perioperative care in cardiac surgery: enhanced recovery after surgery society recommendations. JAMA Surg. 2019;154(8):755–766. doi:10.1001/jamasurg.2019.1153
   PubMed Web of Science ®Google Scholar
• Kellum JA, Sileanu FE, Bihorac A, Hoste EA, Chawla LS. Recovery after Acute Kidney Injury. Am J Respir Crit Care Med. 2017;195(6):784–791. doi:10.1164/rccm.201604-0799OC
   PubMed Web of Science ®Google Scholar
• Chawla LS, Bellomo R, Bihorac A, et al. Acute kidney disease and renal recovery: consensus report of the acute disease quality initiative (ADQI) 16 workgroup. Nat Rev Nephrol. 2017;13(4):241–257. doi:10.1038/nrneph.2017.2
   PubMed Web of Science ®Google Scholar
• Hoste E, Bihorac A, Al-Khafaji A, et al. Identification and validation of biomarkers of persistent acute kidney injury: the RUBY study. Intensive Care Med. 2020;46(5):943–953. doi:10.1007/s00134-019-05919-0
   PubMed Web of Science ®Google Scholar
• Bagshaw SM, Al-Khafaji A, Artigas A, et al. External validation of urinary C-C motif chemokine ligand 14 (CCL14) for prediction of persistent acute kidney injury. Crit Care. 2021;25(1):185. doi:10.1186/s13054-021-03618-1
   PubMed Web of Science ®Google Scholar
• Massoth C, Kullmar M, Enders D, et al. Comparison of C-C motif chemokine ligand 14 with other biomarkers for adverse kidney events after cardiac surgery. J Thorac Cardiovasc Surg. 2023;165(1):199–207 e2. doi:10.1016/j.jtcvs.2021.03.016
   PubMed Web of Science ®Google Scholar
• Kellum JA. Acute kidney injury: AKI: the myth of inevitability is finally shattered. Nat Rev Nephrol. 2017;13(3):140–141. doi:10.1038/nrneph.2017.11
   PubMed Web of Science ®Google Scholar
• Meersch M, Schmidt C, Hoffmeier A, et al. Prevention of cardiac surgery-associated AKI by implementing the KDIGO guidelines in high risk patients identified by biomarkers: the PrevAKI randomized controlled trial. Intensive Care Med. 2017;43(11):1551–1561. doi:10.1007/s00134-016-4670-3
   PubMed Web of Science ®Google Scholar
• Zarbock A, Kullmar M, Ostermann M, et al. Prevention of cardiac surgery-associated acute kidney injury by implementing the KDIGO guidelines in high-risk patients identified by biomarkers: the PrevAKI-multicenter randomized controlled trial. Anesth Analg. 2021;133(2):292–302. doi:10.1213/ANE.0000000000005458
   PubMed Web of Science ®Google Scholar
• Gocze I, Jauch D, Gotz M, et al. Biomarker-guided intervention to prevent acute kidney injury after major surgery: the prospective randomized BigpAK study. Ann Surg. 2018;267(6):1013–1020. doi:10.1097/SLA.0000000000002485
   PubMed Web of Science ®Google Scholar
• von Groote TC, Ostermann M, Forni LG, Meersch-Dini M, Zarbock A. The AKI care bundle: all bundle components are created equal-are they? Intensive Care Med. 2022;48(2):242–245. doi:10.1007/s00134-021-06601-0
   PubMed Web of Science ®Google Scholar
• Schaubroeck HAI, Vargas D, Vandenberghe W, Hoste EAJ. Impact of AKI care bundles on kidney and patient outcomes in hospitalized patients: a systematic review and meta-analysis. BMC Nephrol. 2021;22(1):335. doi:10.1186/s12882-021-02534-4
   PubMed Web of Science ®Google Scholar