Urinary L-FABP predicts poor outcomes in critically ill patients with early acute kidney injury

Kidney International

Volumn 87, Issue 3, 2015, Pages 640-648

  Parr, Sharidan K ^a   Clark, Amanda J ^b   Bian, Aihua ^a   Shintani, Ayumi K ^a   Wickersham, Nancy E ^a   Ware, Lorraine B ^a   Ikizler, T Alp ^a   Siew, Edward D ^a  

^a VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^b ALBERT EINSTEIN COLLEGE OF MEDICINE   (United States)

Author keywords

acute kidney injury; biomarkers; prognosis

Indexed keywords

CREATININE; FATTY ACID BINDING PROTEIN; INTERLEUKIN 18; KIDNEY INJURY MOLECULE 1; NEUTROPHIL GELATINASE ASSOCIATED LIPOCALIN; ACUTE PHASE PROTEIN; BIOLOGICAL MARKER; FABP1 PROTEIN, HUMAN; HAVCR1 PROTEIN, HUMAN; LCN2 PROTEIN, HUMAN; LIPOCALIN; MEMBRANE PROTEIN; ONCOPROTEIN; VIRUS RECEPTOR;

ACUTE KIDNEY FAILURE; ADULT; APACHE; AREA UNDER THE CURVE; ARTICLE; COHORT ANALYSIS; CONTROLLED STUDY; CREATININE BLOOD LEVEL; CRITICAL ILLNESS; DIALYSIS; DISEASE COURSE; EARLY DIAGNOSIS; ENZYME LINKED IMMUNOSORBENT ASSAY; FEMALE; GLOMERULUS FILTRATION RATE; HUMAN; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; PROSPECTIVE STUDY; RECEIVER OPERATING CHARACTERISTIC; SINGLE BLIND PROCEDURE; ACUTE KIDNEY INJURY; AGED; BLOOD; HEMODIALYSIS; MIDDLE AGED; PREDICTIVE VALUE; URINE;

ACUTE KIDNEY INJURY; ACUTE-PHASE PROTEINS; AGED; APACHE; AREA UNDER CURVE; BIOMARKERS; CREATININE; CRITICAL ILLNESS; DISEASE PROGRESSION; EARLY DIAGNOSIS; FATTY ACID-BINDING PROTEINS; FEMALE; HEPATITIS A VIRUS CELLULAR RECEPTOR 1; HUMANS; INTERLEUKIN-18; LIPOCALIN-2; LIPOCALINS; MALE; MEMBRANE GLYCOPROTEINS; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; PROTO-ONCOGENE PROTEINS; RECEPTORS, VIRUS; RENAL DIALYSIS; ROC CURVE;

EID: 84925943694     PISSN: 00852538     EISSN: 15231755     Source Type: Journal    
DOI: 10.1038/ki.2014.301     Document Type: Article

References (47)

1. Chertow GM, Burdick E, Honour M, et al. Acute kidney injury, mortality, length of stay, and costs in hospitalized patients. J Am Soc Nephrol. 2005; 16: 3365-3370
2. Uchino S, Kellum JA, Bellomo R, et al. Acute renal failure in critically ill patients: a multinational, multicenter study. JAMA. 2005; 294: 813-818
3. Coca SG, Singanamala S, Parikh CR. Chronic kidney disease after acute kidney injury: a systematic review and meta-Analysis. Kidney Int. 2011; 81: 442-448
4. Jo SK, Rosner MH, Okusa MD. Pharmacologic treatment of acute kidney injury: why drugs haven't worked and what is on the horizon. Clin J Am Soc Nephrol. 2007; 2: 356-365
5. Siew ED, Ware LB, Ikizler TA. Biological markers of acute kidney injury. J Am Soc Nephrol. 2011; 22: 810-820
6. 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
7. Mishra J, Ma Q, Prada A, et al. Identification of neutrophil gelatinaseassociated lipocalin as a novel early urinary biomarker for ischemic renal injury. J Am Soc Nephrol. 2003; 14: 2534-2543
8. Luo Q, Zhou F, Dong H, et al. Implication of combined urinary biomarkers in early diagnosis of acute kidney injury following percutaneous coronary intervention. Clin Nephrol. 2013; 79: 85-92
9. 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: 2154-2165
10. Cruz DN, de Cal M, Garzotto F, et al. Plasma neutrophil gelatinaseassociated lipocalin is an early biomarker for acute kidney injury in an adult ICU population. Intensive Care Med. 2010; 36: 444-451
11. de Geus HR, Bakker J, Lesaffre EM, et al. Neutrophil gelatinase-Associated lipocalin at ICU admission predicts for acute kidney injury in adult patients. Am J Respir Crit Care Med. 2011; 183: 907-914
12. Parikh CR, Coca SG, Thiessen-Philbrook H, et al. Postoperative biomarkers predict acute kidney injury and poor outcomes after adult cardiac surgery. J Am Soc Nephrol. 2011; 22: 1748-1757
13. 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: 1737-1747
14. Waikar SS, Betensky RA, Bonventre JV. Creatinine as the gold standard for kidney injury biomarker studies?. Nephrol Dial Transplant. 2009; 24: 3263-3265
15. Basu RK, Zappitelli M, Brunner L, et al. Derivation and validation of the renal angina index to improve the prediction of acute kidney injury in critically ill children. Kidney Int. 2014; 85: 659-667
16. Yamamoto T, Noiri E, Ono Y, et al. Renal L-Type fatty acid-binding protein in acute ischemic injury. J Am Soc Nephrol. 2007; 18: 2894-2902
17. Melnikov VY, Ecder T, Fantuzzi G, et al. Impaired IL-18 processing protects caspase-1-deficient mice from ischemic acute renal failure. J Clin Invest. 2001; 107: 1145-1152
18. Parikh CR, Jani A, Melnikov VY, et al. Urinary interleukin-18 is a marker of human acute tubular necrosis. Am J Kidney Dis. 2004; 43: 405-414
19. 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: 4135-4142
20. Han WK, Bailly V, Abichandani R, et al. Kidney Injury Molecule-1 (KIM-1): a novel biomarker for human renal proximal tubule injury. Kidney Int. 2002; 62: 237-244
21. Pencina MJ, D'Agostino RB Sr., D'Agostino RB Jr., et al. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med. 2008; 27: 157-172
22. Pickering JW, Endre ZH. New metrics for assessing diagnostic potential of candidate biomarkers. Clin J Am Soc Nephrol. 2012; 7: 1355-1364
23. Pencina MJ, D'Agostino RB, Pencina KM, et al. Interpreting incremental value of markers added to risk prediction models. Am J Epidemiol. 2012; 176: 473-481
24. Coca SG, King JT Jr., Rosenthal RA, et al. The duration of postoperative acute kidney injury is an additional parameter predicting long-Term survival in diabetic veterans. Kidney Int. 2010; 78: 926-933
25. Siew ED, Ware LB, Gebretsadik T, et al. Urine neutrophil gelatinaseassociated lipocalin moderately predicts acute kidney injury in critically ill adults. J Am Soc Nephrol. 2009; 20: 1823-1832
26. Waikar SS, Betensky RA, Emerson SC, et al. Imperfect gold standards for kidney injury biomarker evaluation. J Am Soc Nephrol. 2012; 23: 13-21
27. Hsu RK, Hsu CY. We can diagnose AKI 'early''. Clin J Am Soc Nephrol. 2012; 7: 1741-1742
28. Coca SG, Garg AX, Swaminathan M, et al. Preoperative angiotensinconverting enzyme inhibitors and angiotensin receptor blocker use and acute kidney injury in patients undergoing cardiac surgery. Nephrol Dial Transplant. 2013; 28: 2787-2799
29. Antman EM, Tanasijevic MJ, Thompson B, et al. Cardiac-specific troponin I levels to predict the risk of mortality in patients with acute coronary syndromes. N Engl J Med. 1996; 335: 1342-1349
30. Siew ED, Ware LB, Bian A, 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: 786-794
31. Siew ED, Ikizler TA, Gebretsadik T, et al. Elevated urinary IL-18 levels at the time of ICU admission predict adverse clinical outcomes. Clin J Am Soc Nephrol. 2010; 5: 1497-1505
32. Brenner H, Gefeller O. Variation of sensitivity, specificity, likelihood ratios and predictive values with disease prevalence. Stat Med. 1997; 16: 981-991
33. Polanczyk CA, Lee TH, Cook EF, et al. Cardiac troponin I as a predictor of major cardiac events in emergency department patients with acute chest pain. J Am Coll Cardiol. 1998; 32: 8-14
34. 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: 1119-1130
35. Singer E, Elger A, Elitok S, et al. Urinary neutrophil gelatinase-Associated lipocalin distinguishes pre-renal from intrinsic renal failure and predicts outcomes. Kidney Int. 2011; 80: 405-414
36. 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
37. Doi K, Negishi K, Ishizu T, et al. Evaluation of new acute kidney injury biomarkers in a mixed intensive care unit. Crit Care Med. 2011; 39: 2464-2469
38. 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: 431-438
39. Doi K, Noiri E, Maeda-Mamiya R, et al. Urinary L-Type fatty acid-binding protein as a new biomarker of sepsis complicated with acute kidney injury. Crit Care Med. 2010; 38: 2037-2042
40. Knaus WA, Draper EA, Wagner DP, et al. APACHE II: a severity of disease classification system. Crit Care Med. 1985; 13: 818-829
41. Le Gall JR, Lemeshow S, Saulnier F A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study. JAMA. 1993; 270: 2957-2963
42. Bone RC, Sibbald WJ, Sprung CL. The ACCP-SCCM consensus conference on sepsis and organ failure. Chest. 1992; 101: 1481-1483
43. Schisterman EF, Whitcomb BW. Use of the Social Security Administration Death Master File for ascertainment of mortality status. Popul Health Metr. 2004; 2: 2
44. Levey AS, Bosch JP, Lewis JB, et al 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: 461-470
45. 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: 837-845
46. Pencina MJ, D'Agostino RB Sr., Steyerberg EW. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med. 2011; 30: 11-21
47. Pencina MJ, D'Agostino, Ralph B, et al. Comments on 'Integrated discrimination and net reclassification improvements-Practical advice'. Stat Med. 2008; 27: 207-212