Evaluating Nephrocheck^® as a Predictive Tool for Acute Kidney Injury

References

• Uchino S, Kellum JA, Bellomo R, et al. Acute renal failure in critically ill patients. a multinational, multicenter study. JAMA. 2005;294(7):813–818. doi:10.1001/jama.294.7.81316106006
   PubMed Web of Science ®Google Scholar
• Kellum JA, Lameire N, Aspelin P, et al. Kidney disease: improving Global Outcomes (KDIGO) acute kidney injury work group. KDIGO Clinical practice guideline for acute kidney injury. Kidney Int Suppl. 2012;2:19–36.
   Google Scholar
• Hoste EA, Bagshaw SM, Bellomo R, et al. Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study. Intensive Care Med. 2015;41:1411–1423. doi:10.1007/s00134-015-3934-726162677
   PubMed Web of Science ®Google Scholar
• Bellomo R, Ronco C, Kellum JA, Mehta RL; Acute Dialysis Quality Initiative workgroup. 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:R204–12. doi:10.1186/cc287215312219
   PubMed Web of Science ®Google Scholar
• Haase M, Kellum JA, Ronco C. Subclinical AKI–an emerging syndrome with important consequences. Nat Rev Nephrol. 2012;8(12):735–739. doi:10.1038/nrneph.2012.19723007617
   PubMed Web of Science ®Google Scholar
• Husain-Syed F, Ferrari F, Sharma A, et al. Persistent decrease of renal functional reserve in patients after cardiac surgery-associated acute kidney injury despite clinical recovery. Nephrol Dial Transplant. 2019;34(2):308–317. doi:10.1093/ndt/gfy22730053231
   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;365:1231–1238.15811456
   PubMed Web of Science ®Google Scholar
• Murray P, Mehta R, Shaw A, et al. Potential use of biomarkers in acute kidney injury: report and summary of recommendations from the 10th Acute Dialysis Quality Initiative consensus conference. Kidney Int. 2020;180(3):513–521.
   Web of Science ®Google Scholar
• Fan W, Ankawi G, Zhang J, et al. Current understanding and future directions in the application of TIMP-2 and IGFBP7 in AKI clinical practice. Clin Chem Lab Med. 2019;57(5):567–576. doi:10.1515/cclm-2018-077630179848
   PubMed Web of Science ®Google Scholar
• Di Leo L, Nalesso F, Garzotto F, et al. Predicting acute kidney injury in intensive care unit patients: the role of tissue inhibitor of metalloproteinases-2 and insulin-like growth factor-binding protein-7 biomarkers. Blood Purif. 2018;45(1–3):270–277. doi:10.1159/00048559129478052
   PubMed Web of Science ®Google Scholar
• Ortega LM, Heung M. The use of cell cycle arrest biomarkers in the early detection of acute kidney injury. Is this the new renal troponin? Nefrologia. 2018;38(4):361–367. doi:10.1016/j.nefro.2017.11.01329627229
   PubMed Web of Science ®Google Scholar
• Gomez H, Ince C, De Backer D, et al. A unified theory of sepsis-induced acute kidney injury: inflammation, microcirculatory dysfunction, bioenergetics and the tubular cell adaptation to injury. Shock. 2014;41(1):3–11. doi:10.1097/SHK.0000000000000052
   PubMed Web of Science ®Google Scholar
• Barnum KJ, O’Connell MJ. Cell cycle regulation by checkpoints. Methods Mol Biol. 2014;1170:29–40.24906307
   PubMedGoogle Scholar
• Yang L, Besschetnova TY, Brooks CR, Shah JV, Bonventre JV. Epithelial cell cycle arrest in G2/M mediates kidney fibrosis after injury. Nat Med. 2010;16(5):535–543. doi:10.1038/nm.214420436483
   PubMed Web of Science ®Google 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:R25. doi:10.1186/cc1250323388612
   PubMed Web of Science ®Google Scholar
• Hu J, Chen R, Liu S, Yu X, Zou J, Ding X. Global incidence and outcomes of adult patients with acute kidney injury after cardiac surgery: a systematic review and meta-analysis. J Cardiothorac Vasc Anesth. 2016;30:82–89. doi:10.1053/j.jvca.2015.06.01726482484
   PubMed Web of Science ®Google Scholar
• Nadim MK MD, Forni LG, Bihorac A. Cardiac and vascular surgery–associated acute kidney injury: the 20th international consensus conference of the ADQI (Acute Disease Quality Initiative) Group. J Am Heart Assoc. 2018;7(11). doi:10.1161/JAHA.118.008834
   Web of Science ®Google Scholar
• Meersch M, Schmidt C, Van Aken H, et al. Urinary TIMP-2 and IGFBP7 as early biomarkers of acute kidney injury and renal recovery following cardiac surgery. PLoS One. 2014;9(3):e93460. doi:10.1371/journal.pone.009346024675717
   PubMed Web of Science ®Google Scholar
• Cummings JJ, Shaw AD, J S, Lopez MG, O’Neal JB, Billings FT. Intraoperative prediction of cardiac surgery-associated acute kidney injury using urinary biomarkers of cell cycle arrest. J Thorac Cardiovasc Surg. 2019;157(4):1545–1553. doi:10.1016/j.jtcvs.2018.08.09030389130
   PubMed Web of Science ®Google Scholar
• Mayer T, Bolliger D, Scholz M, et al. Urine biomarkers of tubular cell damage for the prediction of acute kidney injury after cardiac surgery- a pilot study. J Cardiothorac Vasc Anesth. 2017;31:2072–2079. doi:10.1053/j.jvca.2017.04.02428803769
   PubMed Web of Science ®Google Scholar
• Oezkur M, Magyara A, Thomasa P, et al. TIMP-2*IGFBP7 (Nephrocheck®) measurements at intensive care unit admission after cardiac surgery are predictive for acute kidney injury within 48 hours. Kidney Blood Press Res. 2017;42(3):456–467. doi:10.1159/00047929828750409
   PubMed Web of Science ®Google Scholar
• Zaouter C, Potvin J, Bats ML, Beauvieux MC, Remy A, Ouattara A. A combined approach for the early recognition of acute kidney injury after adult cardiac surgery. Anaesth Crit Care Pain Med. 2018;37(4):335–341. doi:10.1016/j.accpm.2018.05.00129777769
   PubMed Web of Science ®Google Scholar
• Grieshaber P, Möller P, Arneth B, et al. Predicting cardiac surgery-associated acute kidney injury using a combination of clinical risk scores and urinary biomarkers. Thorac Cardiovasc Surg. 2019.
   Web of Science ®Google Scholar
• Birnie K, Verheyden V, Pagano D, et al. UK AKI in cardiac surgery collaborators. predictive models for kidney disease: improving global outcomes (KDIGO) defined acute kidney injury in UK cardiac surgery. Crit Care. 2014;18(6):606. doi:10.1186/s13054-014-0606-x25673427
   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;19:3. doi:10.1186/s13054-014-0717-425560277
   PubMed Web of Science ®Google Scholar
• Meersch M, Schmidt C, Hofmeier 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;43:1551–1561. doi:10.1007/s00134-016-4670-328110412
   PubMed Web of Science ®Google Scholar
• Levante C, Ferrari F, Manenti C, et al. Routine adoption of TIMP2 and IGFBP7 biomarkers in cardiac surgery for early identification of acute kidney injury. Int J Artif Organs. 2017;40(12):714–718. doi:10.5301/ijao.500066129148021
   PubMed Web of Science ®Google Scholar
• Rundgren M, Ullén S, Morgan MPG, et al. Renal function after out-of-hospital cardiac arrest; The influence of temperature management and coronary angiography, a post hoc study of the target temperature management trial. Crit Care. 2019;23(1):1–10. doi:10.1186/s13054-019-2390-030606235
   PubMed Web of Science ®Google Scholar
• Beitland S, Waldum-Grevbo BE, Nakstad ER, et al. Urine biomarkers give early prediction of acute kidney injury and outcome after out-of- hospital cardiac arrest. Crit Care. 2016;20(1):1–11.26728475
   PubMed Web of Science ®Google Scholar
• Adler C, Heller T, Schregel F, et al. TIMP-2/IGFBP7 predicts acute kidney injury in out-of-hospital cardiac arrest survivors. Crit Care. 2018;22(1):1–9. doi:10.1186/s13054-018-2042-929301549
   PubMed Web of Science ®Google Scholar
• Titeca-Beauport D, Daubin D, Chelly J, et al. The urine biomarkers TIMP2 and IGFBP7 can identify patients who will experience severe acute kidney injury following a cardiac arrest: a prospective multicentre study. Resuscitation. 2019;141:104–110. doi:10.1016/j.resuscitation.2019.06.00831216431
   PubMed Web of Science ®Google Scholar
• House AA, Anand I, Bellomo R, et al.; Acute Dialysis Quality Initiative Consensus Group. Definition and classification of cardio-renal syndromes: workgroup statements from the 7th ADQI consensus conference. Nephrol Dial Transplant. 2010;25(5):1416–1420.20228069
   PubMed Web of Science ®Google Scholar
• Ismail Y, Kasmikha Z, Green HL, McCullough PA. Cardio-renal syndrome type 1: epidemiology, pathophysiology, and treatment. Semin Nephrol. 2012;32(1):18–25. doi:10.1016/j.semnephrol.2011.11.00322365158
   PubMed Web of Science ®Google Scholar
• Schanz M, Shi J, Wasser C, Alscher MD, Kimmel M. Urinary [TIMP-2] × [IGFBP7] for risk prediction of acute kidney injury in decompensated heart failure. Clin Cardiol. 2017;40(7):485–491. doi:10.1002/clc.2268328295429
   PubMed Web of Science ®Google Scholar
• Atici A, Emet S, Cakmak R, et al. Type I cardiorenal syndrome in patients with acutely decompensated heart failure: the importance of new renal biomarkers. Eur Rev Med Pharmacol Sci. 2018;22(11):3534–3543. doi:10.26355/eurrev_201806_1518029917208
   PubMed Web of Science ®Google Scholar
• Yang J, Lim SY, Kim MG, Jung CW, Cho WY, Jo SK. Urinary tissue inhibitor of metalloproteinase and insulin-like growth factor-7 as early biomarkers of delayed graft function after kidney transplantation. Transplant Proc. 2017;49(9):2050–2054. doi:10.1016/j.transproceed.2017.09.02329149959
   PubMed Web of Science ®Google Scholar
• Pianta TJ, Peake PW, Pickering JW, Kelleher M, Buckley NA, Endre ZH. Evaluation of biomarkers of cell cycle arrest and inflammation in prediction of dialysis or recovery after kidney transplantation. Transpl Int. 2015;28(12):1392–1404. doi:10.1111/tri.1263626174580
   PubMed Web of Science ®Google Scholar
• Schmitt FCF, Salgado E, Friebe J, et al. Cell cycle arrest and cell death correlate with the extent of ischaemia and reperfusion injury in patients following kidney transplantation – results of an observational pilot study. Transpl Int. 2018;31(7):751–760. doi:10.1111/tri.1314829505681
   PubMed Web of Science ®Google Scholar
• Bank J, Ruhaak R, Soonawala D, et al. Urinary TIMP-2 predicts the presence and duration of delayed graft function in donation after circulatory death kidney transplant recipients. Transplantation. 2019;103(5):1014–1023. doi:10.1097/TP.000000000000247230300282
   PubMed Web of Science ®Google Scholar
• Wang K, Xie S, Xiao K, Yan P, He W, Xie L. Biomarkers of sepsis-induced acute kidney injury. Biomed Res Int. 2018;24(2018):6937947.
   Google Scholar
• Cuartero M, Ballús J, Sabater J, Pérez X, Nin N, Ordonez-Llanos J. Betbesé AJ Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients. Ann Intensive Care. 2017;7(1):92. doi:10.1186/s13613-017-0317-y28884304
   PubMed Web of Science ®Google Scholar
• Honore PM, Nguyen HB, Gong M, et al., Sapphire and Topaz Investigators. Urinary tissue inhibitor of metalloproteinase-2 and insulin-like growth factor-binding protein 7 for risk stratification of acute kidney injury in patients with sepsis. Crit Care Med. 2016;44(10):1851–1860. doi:10.1097/CCM.000000000000182727355527
   PubMed Web of Science ®Google Scholar
• Maizel J, Daubin D, Vong LV, et al. Urinary TIMP2 and IGFBP7 identifies high risk patients of short-term progression from mild and moderate to severe acute kidney injury during septic shock: a prospective cohort study. Dis Markers. 2019;2019:3471215. doi:10.1155/2019/347121531061681
   PubMed Web of Science ®Google Scholar
• Clark WR, Neri M, Garzotto F, et al. The future of critical care: renal support in 2027. Crit Care. 2017;21(1):92. doi:10.1186/s13054-017-1665-628395664
   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.012086325798585
   PubMed Web of Science ®Google Scholar
• van der Vorst MJDL, Neefjes ECW, Toffoli EC, et al. Incidence and risk factors for acute kidney injury in head and neck cancer patients treated with concurrent chemoradiation with high-dose cisplatin. BMC Cancer. 2019;19(1):1066. doi:10.1186/s12885-019-6233-931703649
   PubMed Web of Science ®Google Scholar
• Lewington AJ, Cerdá J, Mehta RL. Raising awareness of acute kidney injury: a global perspective of a silent killer. Kidney Int. 2013;84:457–467. doi:10.1038/ki.2013.15323636171
   PubMed Web of Science ®Google Scholar
• Schanz M, Hoferer A, Shi J, Alshcer MD, Kimmel M. Urinary TIMP2·IGFBP7 for the prediction of platinum induced acute renal injury. Int J Nephrol Renovasc Dis. 2017;10:17581. doi:10.2147/IJNRD.S135271
   Web of Science ®Google Scholar
• Toprak Z, Cebeci E, Helvaci SA, et al. Cisplatin nephrotoxicity is not detected by urinary cell-cycle arrest biomarkers in lung cancer patients. Int Urol Nephrol. 2017;49(6):1041–1047. doi:10.1007/s11255-017-1556-428255639
   PubMed Web of Science ®Google Scholar
• Noto A, Cortegiani A, David A. Nephrocheck: should we consider urine osmolality? Crit Care. 2019;23(1):1–2. doi:10.1186/s13054-019-2341-930606235
   PubMed Web of Science ®Google Scholar
• L’Acqua C, Sisillo E, Salvi L, Introcaso G, Biondi ML. Nephrocheck after cardiac surgery: does it play a role in daily practice? A sequel of “Nephrocheck results should be corrected for dilution.”. Int J Artif Organs. 2019;42(11):665–667. doi:10.1177/039139881985295831151359
   PubMed Web of Science ®Google Scholar
• Ronco C, Kellum JA, Haase M. Subclinical AKI is still AKI. Crit Care. 2012;16(3):313. doi:10.1186/cc1124022721504
   PubMed Web of Science ®Google Scholar
• Ronco C. Acute kidney injury: from clinical to molecular diagnosis. Crit Care. 2016;20(1):201. doi:10.1186/s13054-016-1373-727384344
   PubMed Web of Science ®Google Scholar
• Husain-Syed F, Ferrari F, Sharma A, et al. Preoperative renal functional reserve predicts risk of acute kidney injury after cardiac operation. Ann Thorac Surg. 2018;105(4):1094–1101. doi:10.1016/j.athoracsur.2017.12.03429382510
   PubMed Web of Science ®Google Scholar
• Kashani K, Cheungpasitporn W, Ronco C. Biomarkers of acute kidney injury: the pathway from discovery to clinical adoption. Clin Chem Lab Med. 2017;55(8):1074–1089. doi:10.1515/cclm-2016-097328076311
   PubMed Web of Science ®Google Scholar
• Samoni S, Nalesso F, Meola M, et al. Intra-Parenchymal Renal Resistive Index Variation (IRRIV) describes Renal Functional Reserve (RFR): pilot study in healthy volunteers. Front Physiol. 2016;7:286. doi:10.3389/fphys.2016.0028627458386
   PubMed Web of Science ®Google Scholar
• Meola M, Nalesso F, Petrucci I, Samoni S, Ronco C. Ultrasound in acute kidney disease. Contrib Nephrol. 2016;188:11–20.27169556
   PubMed Web of Science ®Google Scholar
• Meola M, Nalesso F, Petrucci I, Samoni S, Ronco C. Pathophysiology and clinical work-up of acute kidney injury. Contrib Nephrol. 2016;188:1–10.27169469
   PubMed Web of Science ®Google Scholar
• Meola M, Nalesso F, Petrucci I, Samoni S, Ronco C. Clinical scenarios in acute kidney injury: pre-renal acute kidney injury. Contrib Nephrol. 2016;188:21–32.27169621
   PubMed Web of Science ®Google Scholar
• Rizo-Topete LM, Rosner MH, Ronco C. Acute kidney injury risk assessment and the nephrology rapid response team. Blood Purif. 2017;43(1–3):82–88. doi:10.1159/00045240227915329
   PubMed Web of Science ®Google Scholar
• Ronco C. Acute kidney injury biomarkers: are we ready for the biomarker curve? Claudio ronco. Cardiorenal Med. 2019;9:354–357. doi:10.1159/00050344331618745
   PubMed Web of Science ®Google Scholar
• McCullough PA, Ostermann M, Forni LG. Serial urinary tissue inhibitor of metalloproteinase-2 and insulin-like growth factor-binding protein 7 and the prognosis for acute kidney injury over the course of critical illness. Cardiorenal Med. 2019;9:358–369. doi:10.1159/00050283731618746
   PubMed Web of Science ®Google Scholar
• Vijayan A, Faubel S, Askenazi DJ, et al. Clinical use of the urine biomarker [TIMP-2] × [IGFBP7] for acute kidney injury risk assessment. AJKD. 2016;68:19–28. doi:10.1053/j.ajkd.2015.12.03326948834
   PubMed Web of Science ®Google Scholar
• Cho WY, Lim SY, Yang JH, Oh SW, Kim MG, Jo SK. Urinary tissue inhibitor of metalloproteinase-2 and insulin-like growth factor-binding protein 7 as biomarkers of patients with established acute kidney injury. Korean J Intern Med. 2019;23.
   Web of Science ®Google Scholar
• James MT, Pannu N, Hemmelgarn BR, et al. Derivation and external validation of prediction models for advanced chronic kidney disease following acute kidney injury. JAMA. 2017;318(18):1787–1797. doi:10.1001/jama.2017.1632629136443
   PubMed Web of Science ®Google Scholar
• Hsu C, Chinchilli VM, Coca S, et al. Post–acute kidney injury proteinuria and subsequent kidney disease progression.The Assessment, Serial Evaluation, and Subsequent Sequelae in Acute Kidney Injury (ASSESS-AKI) study for the ASSESS-AKI Investigators. JAMA Intern Med. 2020;180(3):402–410. doi:10.1001/jamainternmed.2019.6390
   PubMed Web of Science ®Google Scholar
• Guzzi LM, Bergler T, Binnall B, et al. Clinical use of [TIMP-2]•[IGFBP7] biomarker testing to assess risk of acute kidney injury in critical care: guidance from an expert panel. Crit Care. 2019;23(1):225. doi:10.1186/s13054-019-2504-831221200
   PubMed Web of Science ®Google Scholar