DOI QR코드

DOI QR Code

Predictive Performance of Neutrophil Gelatinase Associated Lipocalin, Liver Type Fatty Acid Binding Protein, and Cystatin C for Acute Kidney Injury and Mortality in Severely Ill Patients

  • Ayu Asakage (INSERM UMR-S 942, Cardiovascular Markers in Stress Condition (MASCOT), Universite de Paris Cite) ;
  • Shiro Ishihara (Department of Cardiovascular Medicine, Niigata University Graduate School of Medical and Dental Sciences) ;
  • Louis Boutin (INSERM UMR-S 942, Cardiovascular Markers in Stress Condition (MASCOT), Universite de Paris Cite) ;
  • Francois Depret (INSERM UMR-S 942, Cardiovascular Markers in Stress Condition (MASCOT), Universite de Paris Cite) ;
  • Takeshi Sugaya (Department of Nephrology and Hypertension, St. Marianna University School of Medicine) ;
  • Naoki Sato (Department of Cardiovascular Medicine, Kawaguchi Cardiovascular and Respiratory Hospital) ;
  • Etienne Gayat (INSERM UMR-S 942, Cardiovascular Markers in Stress Condition (MASCOT), Universite de Paris Cite) ;
  • Alexandre Mebazaa (INSERM UMR-S 942, Cardiovascular Markers in Stress Condition (MASCOT), Universite de Paris Cite) ;
  • Benjamin Deniau (INSERM UMR-S 942, Cardiovascular Markers in Stress Condition (MASCOT), Universite de Paris Cite)
  • Received : 2023.02.25
  • Accepted : 2023.09.07
  • Published : 2024.03.01

Abstract

Background: Acute kidney injury (AKI) is a common condition in severely ill patients associated with poor outcomes. We assessed the associations between urinary neutrophil gelatinase-associated lipocalin (uNGAL), urinary liver-type fatty acid-binding protein (uLFABP), and urinary cystatin C (uCysC) concentrations and patient outcomes. Methods: We assessed the predictive performances of uNGAL, uLFABP, and uCysC measured in the early phase of intensive care unit (ICU) management and at discharge from the ICU in severely ill patients for short- and long-term outcomes. The primary outcome was the occurrence of AKI during ICU stay; secondary outcomes were 28-day and 1-yr allcause mortality. Results: In total, 1,759 patients were admitted to the ICU, and 728 (41.4%) developed AKI. Median (interquartile range, IQR) uNGAL, uLFABP, and uCysC concentrations on admission were 147.6 (39.9-827.7) ng/mL, 32.4 (10.5-96.0) ng/mL, and 0.33 (0.12-2.05) mg/L, respectively. Biomarker concentrations on admission were higher in patients who developed AKI and associated with AKI severity. Three hundred fifty-six (20.3%) and 647 (37.9%) patients had died by 28 days and 1-yr, respectively. Urinary biomarker concentrations at ICU discharge were higher in non-survivors than in survivors. The areas under the ROC curve (95% confidence interval) of uLFABP for the prediction of AKI, 28-day mortality, and 1-yr mortality (0.70 [0.67-0.72], 0.63 [0.59-0.66], and 0.57 [0.51-0.63], respectively) were inferior to those of the other biomarkers. Conclusions: uNGAL, uLFABP, and uCysC concentrations on admission were associated with poor outcomes. However, their predictive performance, individually and in combination, was limited. Further studies are required to confirm our results.

Keywords

Acknowledgement

The authors are grateful to Marie-Celine Fournier who coordinated the organizational aspects of the study. They also thank the Centre de Recherche Clinique (CRC) of Lariboisiere University Hospital for support and the investigators of the FROG-ICU study.

References

  1. Bagshaw SM, George C, Dinu I, Bellomo R. A multi-centre evaluation of the RIFLE criteria for early acute kidney injury in critically ill patients. Nephrol Dial Transplant 2008;23:1203-10. https://doi.org/10.1093/ndt/gfm744
  2. 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;16:3365-70. https://doi.org/10.1681/ASN.2004090740
  3. Ricci Z, Cruz D, Ronco C. The RIFLE criteria and mortality in acute kidney injury: A systematic review. Kidney Int 2008;73:538-46. https://doi.org/10.1038/sj.ki.5002743
  4. Khwaja A. KDIGO clinical practice guidelines for acute kidney injury. Nephron Clin Pract 2012;120:c179-84. https://doi.org/10.1159/000339789
  5. Star RA. Treatment of acute renal failure. Kidney Int 1998;54:1817-31. https://doi.org/10.1046/j.1523-1755.1998.00210.x
  6. Moran SM and Myers BD. Course of acute renal failure studied by a model of creatinine kinetics. Kidney Int 1985;27:928-37. https://doi.org/10.1038/ki.1985.101
  7. Schmidt-Ott KM, Mori K, Li JY, Kalandadze A, Cohen DJ, Devarajan P, et al. Dual action of neutrophil gelatinase-associated lipocalin. J Am Soc Nephrol 2007;18:407-13. https://doi.org/10.1681/ASN.2006080882
  8. Slocum JL, Heung M, Pennathur S. Marking renal injury: can we move beyond serum creatinine? Transl Res 2012;159:277-89. https://doi.org/10.1016/j.trsl.2012.01.014
  9. Thongprayoon C, Cheungpasitporn W, Srivali N, Ungprasert P, Kittanamongkolchai W, Kashani K. The impact of fluid balance on diagnosis, staging and prediction of mortality in critically ill patients with acute kidney injury. J Nephrol 2016;29:221-7. https://doi.org/10.1007/s40620-015-0211-3
  10. Oh DJ. A long journey for acute kidney injury biomarkers. Ren Fail 2020;42:154-65. https://doi.org/10.1080/0886022X.2020.1721300
  11. Albert C, Zapf A, Haase M, Röver C, Pickering JW, Albert A, et al. Neutrophil gelatinase-associated lipocalin measured on clinical laboratory platforms for the prediction of acute kidney injury and the associated need for dialysis therapy: a systematic review and meta-analysis. Am J Kidney Dis 2020;76:826-41.e1. https://doi.org/10.1053/j.ajkd.2020.05.015
  12. Chen YT, Jenq CC, Hsu CK, Yu YC, Chang CH, Fan PC, et al. Acute kidney disease and acute kidney injury biomarkers in coronary care unit patients. BMC Nephrol 2020;21:207. https://doi.org/10.1186/s12882-020-01872-z
  13. Griffin BR, Faubel S, Edelstein CL. Biomarkers of drug-induced kidney toxicity. Ther Drug Monit 2019;41:213-26. https://doi.org/10.1097/FTD.0000000000000589
  14. Wołyniec W, Ratkowski W, Renke J, Renke M. Changes in novel AKI biomarkers after exercise. A systematic review. Int J Mol Sci 2020;21:1-20.
  15. Chiang TH, Yo CH, Lee GH, Mathew A, Sugaya T, Li WY, et al. Accuracy of liver-type fatty acid-binding protein in predicting acute kidney injury: a meta-analysis. J Appl Lab Med 2022;7:421-36. https://doi.org/10.1093/jalm/jfab092
  16. Naruse H, Ishii J, Takahashi H, Kitagawa F, Nishimura H, Kawai H, et al. Predicting acute kidney injury using urinary liver-type fatty-acid binding protein and serum N-terminal pro-B-type natriuretic peptide levels in patients treated at medical cardiac intensive care units. Crit Care 2018;22:197. https://doi.org/10.1186/s13054-018-2120-z
  17. Shimoyama T, Sato T, Sakamoto Y, Nagai K, Aoki J, Suda S, et al. Urinary biomarkers of kidney tubule injury, risk of acute kidney injury, and mortality in patients with acute ischaemic stroke treated at a stroke care unit. Eur J Neurol 2020;27:2463-72. https://doi.org/10.1111/ene.14448
  18. Duff S, Irwin R, Cote JM, Redahan L, McMahon BA, Marsh B, et al. Urinary biomarkers predict progression and adverse outcomes of acute kidney injury in critical illness. Nephrol Dial Transplant 2022;37:1668-78. https://doi.org/10.1093/ndt/gfab263
  19. Schrezenmeier EV., Barasch J, Budde K, Westhoff T, Schmidt-Ott KM. Biomarkers in acute kidney injury – pathophysiological basis and clinical performance. Acta Physiol (Oxf) 2017;219:554-72.
  20. Mebazaa A, Casadio MC, Azoulay E, Guidet B, Jaber S, Levy B, et al. Post-ICU discharge and outcome: rationale and methods of the French and euRopean Outcome reGistry in Intensive Care Units (FROG-ICU) observational study. BMC Anesthesiol 2015;15:143. https://doi.org/10.1186/s12871-015-0129-2
  21. 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 1999;130:461-70. https://doi.org/10.7326/0003-4819-130-6-199903160-00002
  22. Ympa YP, Sakr Y, Reinhart K, Vincent JL. Has mortality from acute renal failure decreased? A systematic review of the literature. Am J Med 2005;118:827-32. https://doi.org/10.1016/j.amjmed.2005.01.069
  23. Doi K, Negishi K, Ishizu T, Katagiri D, Fujita T, Matsubara T, et al. Evaluation of new acute kidney injury biomarkers in a mixed intensive care unit. Crit Care Med 2011;39:2464-9. https://doi.org/10.1097/CCM.0b013e318225761a
  24. Ho J, Tangri N, Komenda P, Kaushal A, Sood M, Brar R, 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;66:993-1005. https://doi.org/10.1053/j.ajkd.2015.06.018
  25. Siew ED, Ware LB, Bian A, Shintani A, Eden SK, Wickersham N, et al. Distinct injury markers for the early detection and prognosis of incident acute kidney injury in critically ill adults with preserved kidney function. Kidney Int 2013;84:786-94. https://doi.org/10.1038/ki.2013.174
  26. Nickolas TL, Schmidt-Ott KM, Canetta P, Forster C, Singer E, Sise M, 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;59:246-55. https://doi.org/10.1016/j.jacc.2011.10.854
  27. Hall IE, Coca SG, Perazella MA, Eko UU, Luciano RL, Peter PR, et al. Risk of poor outcomes with novel and traditional biomarkers at clinical AKI diagnosis. Clin J Am Soc Nephrol 2011, 6:2740-9. https://doi.org/10.2215/CJN.04960511
  28. Singer E, Elger A, Elitok S, Kettritz R, Nickolas TL, Barasch J, et al. Uri-nary neutrophil gelatinase-associated lipocalin distinguishes pre-renal from intrinsic renal failure and predicts outcomes. Kidney Int 2011;80:405-14. https://doi.org/10.1038/ki.2011.41
  29. Ralib AM, Pickering JW, Shaw GM, Devarajan P. Edelstein CL, Bonventre JV., et al. Test characteristics of urinary biomarkers depend on quantitation method in acute kidney injury. J Am Soc Nephrol 2012;23:322-33. https://doi.org/10.1681/ASN.2011040325
  30. Coca SG, Garg AX, Thiessen-Philbrook H, Koyner JL, Patel UD, Krumholz HM, et al. Urinary biomarkers of AKI and mortality 3 years after cardiac surgery. J Am Soc Nephrol 2014;25:1063-71. https://doi.org/10.1681/ASN.2013070742
  31. Pan HC, Huang TTM, Huang CT, Sun CY, Chen YM, Wu VC. Urinary bio-markers can predict weaning from acute dialysis therapy in critically ill patients. Arch Pathol Lab Med 2022;146:1353-63. https://doi.org/10.5858/arpa.2021-0411-OA