Urinary biomarkers in the clinical prognosis and early detection of acute kidney injury

Jay L Koyner, Vishal S Vaidya, Michael R Bennett, Qing Ma, Elaine Worcester, Shahab A Akhter, Jai Raman, Valluvan Jeevanandam, Micheal F O'Connor, Prasad Devarajan, Joseph V Bonventre, Patrick T Murray, Jay L Koyner, Vishal S Vaidya, Michael R Bennett, Qing Ma, Elaine Worcester, Shahab A Akhter, Jai Raman, Valluvan Jeevanandam, Micheal F O'Connor, Prasad Devarajan, Joseph V Bonventre, Patrick T Murray

Abstract

Background and objectives: Several novel urinary biomarkers have shown promise in the early detection and diagnostic evaluation of acute kidney injury (AKI). Clinicians have limited tools to determine which patients will progress to more severe forms of AKI at the time of serum creatinine increase. The diagnostic and prognostic utility of novel and traditional AKI biomarkers was evaluated during a prospective study of 123 adults undergoing cardiac surgery.

Design, setting, participants, & measurements: Urinary neutrophil gelatinase-associated lipocalin (NGAL), cystatin C (CyC), kidney injury molecule-1 (KIM-1), hepatocyte growth factor (HGF), π-glutathione-S-transferase (π-GST), α-GST, and fractional excretions of sodium and urea were all measured at preoperative baseline, postoperatively, and at the time of the initial clinical diagnosis of AKI. Receiver operator characteristic curves were generated and the areas under the curve (AUCs) were compared.

Results: Forty-six (37.4%) subjects developed AKI Network stage 1 AKI; 9 (7.3%) of whom progressed to stage 3. Preoperative KIM-1 and α-GST were able to predict the future development of stage 1 and stage 3 AKI. Urine CyC at intensive care unit (ICU) arrival best detected early stage 1 AKI (AUC = 0.70, P < 0.001); the 6-hour ICU NGAL (AUC = 0.88; P < 0.001) best detected early stage 3 AKI. π-GST best predicted the progression to stage 3 AKI at the time of creatinine increase (AUC = 0.86; P = 0.002).

Conclusion: Urinary biomarkers may improve the ability to detect early AKI and determine the clinical prognosis of AKI at the time of diagnosis.

Figures

Figure 1.
Figure 1.
Urinary biomarkers during the perioperative period for those subjects without AKI, those with stage 1 and stage 2 AKI, and those with stage 3 AKI. Stage 1 AKI was defined as a ≥50% relative increase or 0.3-mg/dl absolute increase in plasma creatinine from preoperative baseline or within the first 72 postoperative hours. (A) NGAL (ng/mg creatinine; mean ± SEM), (B) CyC (mg/g creatinine; mean ± SEM), (C) HGF (ng/mg creatinine; mean ± SEM), (D) KIM-1 (ng/mg creatinine; mean ± SEM), (E) α-GST (ng/mg creatinine; median [IQR 25% to 75%]) (F) π-GST (ng/mg creatinine; median [IQR 25% to 75%]). Note that the No AKI plot (red) is obscured from view by the plot for those with stage 1 and 2 AKI (blue). *P ≤ 0.05, **P ≤ 0.01, and ***P ≤ 0.001.

References

    1. Wijeysundera DN, Karkouti K, Dupuis JY, Rao V, Chan CT, Granton JT, Beattie WS: Derivation and validation of a simplified predictive index for renal replacement therapy after cardiac surgery. JAMA 297: 1801–1809, 2007
    1. Abel R, Buckley M, Austen W, Barnett G, Beck CJ, Fishcer J: Etiology, incidence and prognosis of renal failure following cardiac operations. Results of a prospective analysis of 500 consecutive patients. J Thorac Cardiovasc Surg 71: 323–333, 1976
    1. Andersson L, Ekroth R, Bratteby L: Acute renal failure after coronary surgery: A study of incidence and risk factors in 2009 consecutive patients. Thorac Cardiovasc Surg 41: 237–241, 1993
    1. Chertow G, Levy E, Hammermeister K, Grover F, Daley J: Independent association between acute renal failure and mortality following cardiac surgery. Am J Med 104: 343–348, 1998
    1. Conlon P, Strafford-Smith M, WD W: Acute renal failure following cardiac surgery. Nephrol Dial Transplant 14: 1158–1162, 1999
    1. Mangano C, Diamondstone L, Ramsey J, Aggarwal A, Herskowitz A, Mangano D: Renal dysfunction after myocardial revascularization: Risk factors, adverse outcomes, and hospital resource utilization. Ann Intern Med 128: 194–203, 1998
    1. Ostermann M, Taube D, Morgan C, Evans T: Acute renal failure following cardiopulmonary bypass: A changing picture. Intensive Care Med 26: 565–571, 2000
    1. Tuttle K, Worrall N, Dahlstrom L, Nandagopal R, Kausz A, Davis C: Predictors of ARF after cardiac surgical procedures. Am J Kid Dis 41: 76–83, 2003
    1. Zanardo G, Michielon P, Paccagnella A: Acute renal failure in the patient undergoing cardiac operation: Prevalence, mortality rate, and main risk factors. J Thorac Cardiovasc Surg 107: 1489–1495, 1994
    1. Bellomo R, Ronco C, Kellum JA, Mehta RL, Palevsky P: 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 8: R204–R212, 2004
    1. Mehta RL, Kellum JA, Shah SV, Molitoris BA, Ronco C, Warnock DG, Levin A: Acute Kidney Injury Network: Report of an initiative to improve outcomes in acute kidney injury. Crit Care 11: R31, 2007
    1. Coca SG, Yalavarthy R, Concato J, Parikh CR: Biomarkers for the diagnosis and risk stratification of acute kidney injury: A systematic review. Kidney Int 73: 1008–1016, 2007
    1. Vaidya VS, Waikar SS, Ferguson MA, Collings FB, Sunderland K, Gioules C, Bradwin G, Matsouaka R, Betensky RA, Curhan GC, Bonventre JV: Urinary biomarkers for sensitive and specific detection of acute kidney injury in humans. Clin Transl Sci 1: 200–208, 2008
    1. Parikh CR, Devarajan P: New biomarkers of acute kidney injury. Crit Care Med 36[4 Suppl]: S159–S165, 2008
    1. Han W, Bonventre J: Biological markers for the early detection of acute kidney injury. Curr Opin Crit Care 10: 476–482, 2004
    1. Haase-Fielitz A, Bellomo R, Devarajan P, Story D, Matalanis G, Dragun D, Haase M: Novel and conventional serum biomarkers predicting acute kidney injury in adult cardiac surgery—A prospective cohort study. Crit Care Med 37: 553–560, 2009
    1. Mishra J, Dent C, Tarabishi R, Mitsnefes MM, Ma Q, Kelly C, Ruff S, Zahedi K, Shao M, Bean J, Mori K, Barasch J, Devarajan P: Neutrophil gelatinase-associated lipocalin (NGAL) as a biomarker for acute renal injury after cardiac surgery. Lancet 365: 1231–1238, 2005
    1. 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 4: 873–882, 2009
    1. Koyner JL, Bennett MR, Worcester EM, Ma Q, Raman J, Jeevanandam V, Kasza KE, Connor MF, Konczal DJ, Trevino S, Devarajan P, Murray PT: Urinary cystatin C as an early biomarker of acute kidney injury following adult cardiothoracic surgery. Kidney Int 74: 1059–1069, 2008
    1. Wagener G, Jan M, Kim M, Mori K, Barasch JM, Sladen RN, Lee HT: Association between increases in urinary neutrophil gelatinase-associated lipocalin and acute renal dysfunction after adult cardiac surgery. Anesthesiology 105: 485–491, 2006
    1. Liangos O, Tighiouart H, Perianayagam MC, Kolyada A, Han WK, Wald R, Bonventre JV, Jaber BL: Comparative analysis of urinary biomarkers for early detection of acute kidney injury following cardiopulmonary bypass. Biomarkers 14: 423–431, 2009
    1. Parikh CR, Mishra J, Thiessen-Philbrook H, Dursun B, Ma Q, Kelly C, Dent C, Devarajan P, Edelstein CL: Urinary IL-18 is an early predictive biomarker of acute kidney injury after cardiac surgery. Kidney Int 70: 199–203, 2006
    1. Yavuz I, Asgun FH, Bolcal C, Bingol H, Yokusoglu M, Baysan O, Ozgurtas T, Demirkilic U, Tatar H: Importance of urinary measurement of glutathione S-transferase in renal dysfunction patients after on- and off-pump coronary artery bypass surgery. Thorac Cardiovasc Surg 57: 125–129, 2009
    1. da Silva Magro MC, de Fatima Fernandes Vattimo M: Does urinalysis predict acute renal failure after heart surgery? Ren Fail 26: 385–392, 2004
    1. Perazella MA, Coca SG, Kanbay M, Brewster UC, Parikh CR: Diagnostic value of urine microscopy for differential diagnosis of acute kidney injury in hospitalized patients. Clin J Am Soc Nephrol 3: 1615–1619, 2008
    1. Hilberman M, Myers BD, Carrie BJ, Derby G, Jamison RL, Stinson EB: Acute renal failure following cardiac surgery. J Thorac Cardiovasc Surg 77: 880–888, 1979
    1. Steiner RW: Interpreting the fractional excretion of sodium. Am J Med 77: 699–702, 1984
    1. Fahimi D, Mohajeri S, Hajizadeh N, Madani A, Esfahani ST, Ataei N, Mohsseni P, Honarmand M: Comparison between fractional excretions of urea and sodium in children with acute kidney injury. Pediatr Nephrol 24: 2409–2412, 2009
    1. Pepin MN, Bouchard J, Legault L, Ethier J: Diagnostic performance of fractional excretion of urea and fractional excretion of sodium in the evaluations of patients with acute kidney injury with or without diuretic treatment. Am J Kidney Dis 50: 566–573, 2007
    1. Han WK, Bailly V, Abichandani R, Thadhani R, Bonventre JV: Kidney injury molecule-1 (KIM-1): A novel biomarker for human renal proximal tubule injury. Kidney Int 62: 237–244, 2002
    1. Mishra J, Ma Q, Prada A, Mitsnefes M, Zahedi K, Yang J, Barasch J, Devarajan P: Identification of neutrophil gelatinase-associated lipocalin as a novel early urinary biomarker for ischemic renal injury. J Am Soc Nephrol 14: 2534–2543, 2003
    1. 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 5: 211–219, 2010
    1. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D: A more accurate method to estimate glomerular filtration rate from serum creatinine: A new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med 130: 461–470, 1999
    1. 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 18: 543–551, 2003
    1. DeLong ER, DeLong DM, Clarke-Pearson DL: Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach. Biometrics 44: 837–845, 1988
    1. Haase M, Bellomo R, Story D, Davenport P, Haase-Fielitz A: Urinary interleukin-18 does not predict acute kidney injury after adult cardiac surgery: A prospective observational cohort study. Crit Care 12: R96, 2008
    1. Han WK, Waikar SS, Johnson A, Betensky RA, Dent CL, Devarajan P, Bonventre JV: Urinary biomarkers in the early diagnosis of acute kidney injury. Kidney Int 73: 863–869, 2007
    1. Herget-Rosenthal S, Marggraf G, Husing J, Goring F, Pietruck F, Janssen O, Philipp T, Kribben A: Early detection of acute renal failure by serum cystatin C. Kidney Int 66: 1115–1122, 2004
    1. Parikh CR, Jani A, Mishra J, Ma Q, Kelly C, Barasch J, Edelstein CL, Devarajan P: Urine NGAL and IL-18 are predictive biomarkers for delayed graft function following kidney transplantation. Am J Transplant 6: 1639–1645, 2006
    1. Zappitelli M, Washburn KK, Arikan AA, Loftis L, Ma Q, Devarajan P, Parikh CR, Goldstein SL: Urine neutrophil gelatinase-associated lipocalin is an early marker of acute kidney injury in critically ill children: A prospective cohort study. Crit Care 11: R84, 2007
    1. Pickering JW, Frampton CM, Endre ZH: Evaluation of trial outcomes in acute kidney injury by creatinine modeling. Clin J Am Soc Nephrol 4: 1705–1715, 2009
    1. Harrison DJ, Kharbanda R, Cunningham DS, McLellan LI, Hayes JD: Distribution of glutathione S-transferase isoenzymes in human kidney: Basis for possible markers of renal injury. J Clin Pathol 42: 624–628, 1989
    1. Haase M, Bellomo R, Devarajan P, Ma Q, Bennett MR, Mockel M, Matalanis G, Dragun D, Haase-Fielitz A: Novel biomarkers early predict the severity of acute kidney injury after cardiac surgery in adults. Ann Thorac Surg 88: 124–130, 2009
    1. Herget-Rosenthal S, Poppen D, Husing J, Marggraf G, Pietruck F, Jakob H, Philipp T, Kribben A: Prognostic value of tubular proteinuria and enzymuria in nonoliguric acute tubular necrosis. Clin Chem 50: 522–558, 2004
    1. Hall IE, Yarlagadda SG, Coca SG, Wang Z, Doshi M, Devarajan P, Han WK, Marcus RJ, Parikh CR: IL-18 and urinary NGAL predict dialysis and graft recovery after kidney transplantation. J Am Soc Nephrol 21: 189–197, 2009
    1. Grenier FC, Ali S, Syed H, Workman R, Martens F, Liao M, Wang Y, Wong PY: Evaluation of the ARCHITECT urine NGAL assay: Assay performance, specimen handling requirements and biological variability. Clin Biochem 43: 615–620, 2009

Source: PubMed

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