Combination of biomarkers for diagnosis of acute kidney injury after cardiopulmonary bypass

Renal Failure

Volumn 37, Issue 3, 2015, Pages 408-416

  Prowle, John Richard ^a   Calzavacca, Paolo ^a   Licari, Elisa ^a   Ligabo, E Valentina ^a   Echeverri, Jorge E ^a   Bagshaw, Sean M ^b   Haase Fielitz, Anja ^c   Haase, Michael ^c   Ostland, Vaughn ^d   Noiri, Eisei ^e   Westerman, Mark ^d   Devarajan, Prasad ^f   Bellomo, Rinaldo ^a  

^a AUSTIN HOSPITAL   (Australia)

^b UNIVERSITY OF ALBERTA   (Canada)

^c OTTO VON GUERICKE UNIVERSITY   (Germany)

^d Intrinsic LifeSciences LLC   (United States)

^e UNIVERSITY OF TOKYO   (Japan)

^f CINCINNATI CHILDREN'S HOSPITAL MEDICAL CENTER   (United States)

Author keywords

Acute kidney injury; Biomarkers; Cardiac bypass; Glutathione S transferase; Hepcidin; Liver fatty acid binding protein; Neutrophil gelatinase associated lipocalin

Indexed keywords

CREATININE; CYSTATIN C; FATTY ACID BINDING PROTEIN; GLUTATHIONE TRANSFERASE ALPHA; GLUTATHIONE TRANSFERASE P1; HEPCIDIN; NEUTROPHIL GELATINASE ASSOCIATED LIPOCALIN; ACUTE PHASE PROTEIN; BIOLOGICAL MARKER; GLUTATHIONE TRANSFERASE; LCN2 PROTEIN, HUMAN; LIPOCALIN; ONCOPROTEIN;

ACUTE KIDNEY FAILURE; ADULT; AGED; ARTICLE; CARDIOPULMONARY BYPASS; CREATININE BLOOD LEVEL; DECISION TREE; FEMALE; HIGH RISK POPULATION; HUMAN; LOW RISK POPULATION; MAJOR CLINICAL STUDY; MALE; OUTCOME ASSESSMENT; POSTOPERATIVE PERIOD; PRIORITY JOURNAL; PROTEIN URINE LEVEL; RENAL REPLACEMENT THERAPY; SENSITIVITY AND SPECIFICITY; ACUTE KIDNEY INJURY; ADVERSE EFFECTS; BLOOD; CONTROLLED STUDY; EARLY DIAGNOSIS; POSTOPERATIVE COMPLICATIONS; PREDICTIVE VALUE; PROCEDURES; RANDOMIZED CONTROLLED TRIAL; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; URINE;

ACUTE KIDNEY INJURY; ACUTE-PHASE PROTEINS; BIOMARKERS; CARDIOPULMONARY BYPASS; CYSTATIN C; EARLY DIAGNOSIS; FATTY ACID-BINDING PROTEINS; FEMALE; GLUTATHIONE TRANSFERASE; HEPCIDINS; HUMANS; LIPOCALIN-2; LIPOCALINS; MALE; POSTOPERATIVE COMPLICATIONS; PREDICTIVE VALUE OF TESTS; PROTO-ONCOGENE PROTEINS; RISK ASSESSMENT; ROC CURVE;

EID: 84929080480     PISSN: 0886022X     EISSN: 15256049     Source Type: Journal    
DOI: 10.3109/0886022X.2014.1001303     Document Type: Article

References (52)

1. Chertow GM, Burdick E, Honour M, Bonventre JV, Bates DW. Acute kidney injury, mortality, length of stay, and costs in hospitalized patients. J Am Soc Nephrol. 2005;16(11):3365-3370.
2. Uchino S. Creatinine. Curr Opin Crit Care. 2010;16(6):562-567.
3. Doi K, Yuen PST, Eisner C, et al. Reduced production of creatinine limits its use as marker of kidney injury in sepsis. J Am Soc Nephrol. 2009;20(6):1217-1221.
4. Endre ZH, Pickering JW, Walker RJ. Clearance and beyond: The complementary roles of GFR measurement and injury biomarkers in acute kidney injury (AKI). Am J Physiol Renal Physiol. 2011; 301(4):F697-F707.
5. Mishra J, Ma Q, Prada A, et al. Identification of neutrophil gelatinase-associated lipocalin as a novel early urinary biomarker for ischemic renal injury. J Am Soc Nephrol. 2003; 14(10):2534-2543.
6. Ichimura T, Bonventre JV, Bailly V, et al. Kidney injury molecule-1 (KIM-1), a putative epithelial cell adhesion molecule containing a novel immunoglobulin domain, is up-regulated in renal cells after injury. J Biol Chem. 1998;273(7):4135-4142.
7. Mishra J, Dent C, Tarabishi R, et al. Neutrophil gelatinaseassociated lipocalin (NGAL) as a biomarker for acute renal injury after cardiac surgery. Lancet. 2005;365(9466):1231-1238.
8. McIlroy DR, Wagener G, Lee HT. Neutrophil gelatinase-associated lipocalin and acute kidney injury after cardiac surgery: The effect of baseline renal function on diagnostic performance. Clin J Am Soc Nephrol. 2010;5(2):211-219.
9. Glassford NJ, Schneider AG, Xu S, et al. The nature and discriminatory value of urinary neutrophil gelatinase-associated lipocalin in critically ill patients at risk of acute kidney injury. Intensive Care Med. 2013;39(10):1714-1724.
10. Paragas N, Qiu A, Zhang Q, et al. The Ngal reporter mouse detects the response of the kidney to injury in real time. Nat Med. 2011; 17(2):216-222.
11. Bagshaw SM, Bellomo R. Cystatin C in acute kidney injury. Curr Opin Crit Care. 2010;16(6):533-539.
12. Kanda J, Mori K, Kawabata H, et al. An AKI biomarker lipocalin 2 in the blood derives from the kidney in renal injury but from neutrophils in normal and infected conditions. Clin Exp Nephrol. 2014 Mar 6. [Epub ahead of print]. doi 10.1007/s10157-014-0952-7.
13. Prowle JR, Calzavacca P, Licari E, et al. Pilot double-blind, randomized controlled trial of short-term atorvastatin for prevention of acute kidney injury after cardiac surgery. Nephrology (Carlton). 2012;17(3):215-224.
14. Prowle JR, Ostland V, Calzavacca P, et al. Greater increase in urinary hepcidin predicts protection from acute kidney injury after cardiopulmonary bypass. Nephrol Dial Transplant. 2012; 27(2):595-602.
15. Bellomo R, Ronco C, Kellum JA, Mehta RL, Palevsky P, 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(4):R204-R212.
16. Herget-Rosenthal S, Marggraf G, Husing J, et al. Early detection of acute renal failure by serum cystatin C. Kidney Int. 2004; 66(3):1115-1122.
17. 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):2154-2165.
18. Walshe CM, Odejayi F, Ng S, Marsh B. Urinary glutathione S-transferase as an early marker for renal dysfunction in patients admitted to intensive care with sepsis. Crit Care Resusc. 2009; 11(3):204-209.
19. McMahon BA, Koyner JL, Murray PT. Urinary glutathione Stransferases in the pathogenesis and diagnostic evaluation of acute kidney injury following cardiac surgery: a critical review. Curr Opin Crit Care. 2010;16(6):550-555.
20. Doi K, Noiri E, Sugaya T. Urinary L-type fatty acid-binding protein as a new renal biomarker in critical care. Curr Opin Crit Care. 2010;16(6):545-549.
21. Mishra J, Mori K, Ma Q, Kelly C, Barasch J, Devarajan P. Neutrophil gelatinase-associated lipocalin: a novel early urinary biomarker for cisplatin nephrotoxicity. Am J Nephrol. 2004; 24(3):307-315.
22. Mori K, Lee HT, Rapoport D, et al. Endocytic delivery of lipocalin-siderophore-iron complex rescues the kidney from ischemia-reperfusion injury. J Clin Invest. 2005;115(3):610-621.
23. Ho J, Lucy M, Krokhin O, et al. Mass spectrometry-based proteomic analysis of urine in acute kidney injury following cardiopulmonary bypass: A nested case-control study. Am J Kidney Dis. 2009;53(4):584-595.
24. Prowle JR, Westerman M, Bellomo R. Urinary hepcidin: an inverse biomarker of acute kidney injury after cardiopulmonary bypass? Curr Opin Crit Care. 2010;16(6):540-544.
25. Haase M, Bellomo R, Haase-Fielitz A. Novel biomarkers, oxidative stress, and the role of labile iron toxicity in cardiopulmonary bypass-associated acute kidney injury. J Am Coll Cardiol. 2010; 55(19):2024-2033.
26. Westhuyzen J, Endre ZH, Reece G, Reith DM, Saltissi D, Morgan TJ. Measurement of tubular enzymuria facilitates early detection of acute renal impairment in the intensive care unit. Nephrol Dial Transplant. 2003;18(3):543-551.
27. Ferguson MA, Vaidya VS, Waikar SS, et al. Urinary liver-type fatty acid-binding protein predicts adverse outcomes in acute kidney injury. Kidney Int. 2010;77(8):708-714.
28. Robin X, Turck N, Hainard A, et al. pROC: An open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics. 2011;12:77.
29. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982; 143(1):29-36.
30. Youden WJ. Index for rating diagnostic tests. Cancer. 1950; 3(1):32-35.
31. Pepe MS, Cai T, Longton G. Combining predictors for classification using the area under the receiver operating characteristic curve. Biometrics. 2006;62(1):221-229.
32. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach. Biometrics. 1988; 44(3):837-845.
33. Pencina MJ, D'Agostino Sr RB, D'Agostino Jr RB, Vasan RS. Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond. Stat Med. 2008;27(2):157-172; discussion 207-112.
34. Pencina MJ, D'Agostino Sr RB, Steyerberg EW. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med. 2011;30(1):11-21.
35. Wong HR, Lindsell CJ, Pettila V, et al. A multibiomarker-based outcome risk stratification model for adult septic shock. Crit Care Med. 2014;42(4):781-789.
36. 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.
37. Matsui K, Kamijo-Ikemori A, Sugaya T, Yasuda T, Kimura K. Usefulness of urinary biomarkers in early detection of acute kidney injury after cardiac surgery in adults. Circ J. 2012; 76(1):213-220.
38. Endre ZH, Pickering JW, Walker RJ, et al. Improved performance of urinary biomarkers of acute kidney injury in the critically ill by stratification for injury duration and baseline renal function. Kidney Int. 2011;79(10):1119-1130.
39. Haase-Fielitz A, Mertens PR, Plass M, et al. Urine hepcidin has additive value in ruling out cardiopulmonary bypass-associated acute kidney injury-An observational cohort study. Crit Care. 2011;15(4):R186.
40. Ho J, Reslerova M, Gali B, et al. Urinary hepcidin-25 and risk of acute kidney injury following cardiopulmonary bypass. Clin J Am Soc Nephrol. 2011;6(10):2340-2346.
41. Wald R, Liangos O, Perianayagam MC, et al. Plasma cystatin C and acute kidney injury after cardiopulmonary bypass. Clin J Am Soc Nephrol. 2010;5(8):1373-1379.
42. Katagiri D, Doi K, Honda K, et al. Combination of two urinary biomarkers predicts acute kidney injury after adult cardiac surgery. Ann Thorac Surg. 2012;93(2):577-583.
43. Han WK, Waikar SS, Johnson A, et al. Urinary biomarkers in the early diagnosis of acute kidney injury. Kidney Int. 2008; 73(7):863-869.
44. Han WK, Wagener G, Zhu Y, Wang S, Lee HT. Urinary biomarkers in the early detection of acute kidney injury after cardiac surgery. Clin J Am Soc Nephrol. 2009;4(5):873-882.
45. Arthur JM, Hill EG, Alge JL, et al. Evaluation of 32 urine biomarkers to predict the progression of acute kidney injury after cardiac surgery. Kidney Int. 2014;85(2):431-438.
46. Ralib AM, Pickering JW, Shaw GM, et al. Test characteristics of urinary biomarkers depend on quantitation method in acute kidney injury. J Am Soc Nephrol. 2012;23(2):322-333.
47. Waikar SS, Sabbisetti VS, Bonventre JV. Normalization of urinary biomarkers to creatinine during changes in glomerular filtration rate. Kidney Int. 2010;78(5):486-494.
48. Pepe MS. Problems with risk reclassification methods for evaluating prediction models. Am J Epidemiol. 2011; 173(11):1327-1335.
49. 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.
50. Haase M, Devarajan P, Haase-Fielitz A, et al. The outcome of neutrophil gelatinase-associated lipocalin-positive subclinical acute kidney injury: A multicenter pooled analysis of prospective studies. J Am Coll Cardiol. 2011;57(17):1752-1761.
51. 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.
52. McCullough PA, Shaw AD, Haase M, et al. Diagnosis of acute kidney injury using functional and injury biomarkers: Workgroup statements from the tenth Acute Dialysis Quality Initiative Consensus Conference. Contrib Nephrol. 2013;182:13-29.