Plasma NGAL for the diagnosis of AKI in patients admitted from the emergency department setting

Clinical Journal of the American Society of Nephrology

Volumn 8, Issue 12, 2013, Pages 2053-2063

  Soto, Karina ^a   Papoila, Ana Luisa ^b   Coelho, Silvia ^a   Bennett, Michael ^c   Ma, Qing ^c   Rodrigues, Bruno ^a   Fidalgo, Pedro ^a   Frade, Francisca ^a   Devarajan, Prasad ^c  

^a HOSPITAL FERNANDO FONSECA   (Portugal)

^b UNIVERSIDADE NOVA DE LISBOA   (Portugal)

^c UNIVERSITY OF CINCINNATI COLLEGE OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; CREATININE; CYSTATIN C; NEUTROPHIL GELATINASE ASSOCIATED LIPOCALIN; ACUTE PHASE PROTEIN; CST3 PROTEIN, HUMAN; LCN2 PROTEIN, HUMAN; LIPOCALIN; ONCOPROTEIN;

ACUTE KIDNEY FAILURE; ADULT; ARTICLE; CHRONIC KIDNEY DISEASE; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; EMERGENCY WARD; FEMALE; GLOMERULUS FILTRATION RATE; HUMAN; KIDNEY FUNCTION; MAJOR CLINICAL STUDY; MALE; PREDICTIVE VALUE; PROSPECTIVE STUDY; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; UREMIA; ACUTE KIDNEY INJURY; AGED; AREA UNDER THE CURVE; BLOOD; CHI SQUARE DISTRIBUTION; EMERGENCY HEALTH SERVICE; ENZYME ASSAY; HOSPITAL ADMISSION; MIDDLE AGED; PROGNOSIS; RISK; RISK ASSESSMENT; RISK FACTOR; SEVERITY OF ILLNESS INDEX; STATISTICAL MODEL; UPREGULATION; VERY ELDERLY;

ACUTE KIDNEY INJURY; ACUTE-PHASE PROTEINS; ADULT; AGED; AGED, 80 AND OVER; AREA UNDER CURVE; BIOLOGICAL MARKERS; CHI-SQUARE DISTRIBUTION; CLINICAL ENZYME TESTS; CYSTATIN C; EMERGENCY SERVICE, HOSPITAL; FEMALE; HUMANS; LIPOCALINS; LOGISTIC MODELS; MALE; MIDDLE AGED; ODDS RATIO; PATIENT ADMISSION; PREDICTIVE VALUE OF TESTS; PROGNOSIS; PROSPECTIVE STUDIES; PROTO-ONCOGENE PROTEINS; RISK ASSESSMENT; RISK FACTORS; ROC CURVE; SEVERITY OF ILLNESS INDEX; UP-REGULATION;

EID: 84889868932     PISSN: 15559041     EISSN: 1555905X     Source Type: Journal    
DOI: 10.2215/CJN.12181212     Document Type: Article

References (49)

1. Xue JL, Daniels F, Star RA, Kimmel PL, Eggers PW, Molitoris BA, Himmelfarb J, Collins AJ: Incidence and mortality of acute renal failure in Medicare beneficiaries, 1992 to 2001. J AmSoc Nephrol 17: 1135-1142, 2006
2. Radhakrishnan J, Kiryluk K: Acute renal failure outcomes in children and adults. Kidney Int 69: 17-19, 2006
3. Coca SG, Yusuf B, Shlipak MG, Garg AX, Parikh CR: Long-term risk of mortality and other adverse outcomes after acute kidney injury: A systematic review and meta-analysis. Am J Kidney Dis 53: 961-973, 2009
4. Waikar SS, Liu KD, Chertow GM: Diagnosis, epidemiology and outcomes of acute kidney injury. Clin J Am Soc Nephrol 3: 844-861, 2008
5. Ali T, Khan I, Simpson W, Prescott G, Townend J, Smith W, Macleod A: Incidence and outcomes in acute kidney injury: A comprehensive population-based study. J Am Soc Nephrol 18: 1292-1298, 2007
6. Hsu CY, McCulloch CE, Fan D, Ordoñez JD, Chertow GM, Go AS: Community-based incidence of acute renal failure. Kidney Int 72: 208-212, 2007
7. Murray PT, Devarajan P, Levey AS, Eckardt KU, Bonventre JV, Lombardi R, Herget-Rosenthal S, Levin A: A framework and key research questions in AKI diagnosis and staging in different environments. Clin J Am Soc Nephrol 3: 864-868, 2008
8. Solomon R, Segal A: Defining acute kidney injury: What is the most appropriate metric? Nat Clin Pract Nephrol 4: 208-215, 2008
9. 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
10. Dent CL, Ma Q, Dastrala S, Bennett M, Mitsnefes MM, Barasch J, Devarajan P: Plasma neutrophil gelatinase-associated lipocalin predicts acute kidney injury, morbidity and mortality after pediatric cardiac surgery: A prospective uncontrolled cohort study. Crit Care 11: R127, 2007
11. Wheeler DS, Devarajan P, Ma Q, Harmon K, Monaco M, Cvijanovich N, Wong HR: Serum neutrophil gelatinaseassociated lipocalin (NGAL) as a marker of acute kidney injury in critically ill children with septic shock. Crit Care Med 36: 1297-1303, 2008
12. Haase M, Bellomo R, Devarajan P, Schlattmann P, Haase-Fielitz A; NGAL Meta-analysis Investigator Group: Accuracy of neutrophil gelatinase-associated lipocalin (NGAL) in diagnosis and prognosis in acute kidney injury: A systematic review and metaanalysis. Am J Kidney Dis 54: 1012-1024, 2009
13. Constantin JM, Futier A, Perbet S, Roszyk L, Lautrette A, Gillart T, Guerin R, Jabaudon M, Souweine B, Bazin JE, Sapin V: Plasma neutrophil gelatinase-associated lipocalin is an early marker of acute kidney injury in adult critically ill patients: A prospective study. J Crit Care 25: 176.e1-176.e6, 2010
14. de Geus HR, Bakker J, Lesaffre EM, le Noble JL: Neutrophil gelatinase-associated lipocalin at ICU admission predicts for acute kidney injury in adult patients. Am J Respir Crit Care Med 183: 907-914, 2011
15. Haase-Fielitz A, Bellomo R, Devarajan P, Bennett M, Story D, Matalanis G, Frei U, Dragun D, Haase M: The predictive performance of plasma neutrophil gelatinase-associated lipocalin (NGAL) increaseswith grade of acute kidney injury. Nephrol Dial Transplant 24: 3349-3354, 2009
16. Kümpers P, Hafer C, Lukasz A, Lichtinghagen R, Brand K, Fliser D, Faulhaber-Walter R, Kielstein JT: Serum neutrophil gelatinaseassociated lipocalin at inception of renal replacement therapy predicts survival in critically ill patients with acute kidney injury. Crit Care 14: R9, 2010
17. Aghel A, Shrestha K, Mullens W, Borowski A, Tang WH: Serum neutrophil gelatinase-associated lipocalin (NGAL) in predicting worsening renal function in acute decompensated heart failure. J Card Fail 16: 49-54, 2010
18. Krawczeski CD, Woo JG, Wang Y, Bennett MR, Ma Q, Devarajan P: Neutrophil gelatinase-associated lipocalin concentrations predict development of acute kidney injury in neonates and children after cardiopulmonary bypass. J Pediatr 158: 1009-1015, 2011
19. Shapiro NI, Trzeciak S, Hollander JE, Birkhahn R, Otero R, Osborn TM, Moretti E, Nguyen HB, Gunnerson K, Milzman D, Gaieski DF, Goyal M, Cairns CB, Kupfer K, Lee SW, Rivers EP: The diagnostic accuracy of plasma neutrophil gelatinase-associated lipocalin in the prediction of acute kidney injury in emergency department patients with suspected sepsis. Ann Emerg Med 56: 52-59, 2010
20. Soto K, Coelho S, Rodrigues B, Martins H, Frade F, Lopes S, Cunha L, Papoila AL, Devarajan P: Cystatin C as a marker of acute kidney injury in the emergency department. Clin J Am Soc Nephrol 5: 1745-1754, 2010
21. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D; Modification of Diet in Renal Disease Study Group: A more accurate method to estimate glomerular filtration rate from serum creatinine: A new prediction equation. Ann Intern Med 130: 461-470, 1999
22. Nickolas TL, O'Rourke MJ, Yang J, Sise ME, Canetta PA, Barasch N, Buchen C, Khan F, Mori K, Giglio J, Devarajan P, Barasch J: Sensitivity and specificity of a single emergency department measurement of urinary neutrophil gelatinase-associated lipocalin for diagnosing acute kidney injury. Ann Intern Med 148: 810-819, 2008
23. National Kidney Foundation: K/DOQI clinical practice guidelines for chronic kidney disease: Evaluation, classification, and stratification. Am J Kidney Dis 39[Suppl 1]: S1-S266, 2002
24. 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 ConsensusConference of the Acute DialysisQuality Initiative (ADQI) Group. Crit Care 8: R204-R212, 2004
25. Mehta RL, Kellum JA, Shah SV, Molitoris BA, Ronco C, Warnock DG, Levin A; Acute Kidney Injury Network: Acute Kidney Injury Network: Report of an initiative to improve outcomes in acute kidney injury. Crit Care 11: R31, 2007
26. Mehta RL, Chertow GM: Acute renal failure definitions and classification: Time for change? J Am Soc Nephrol 14: 2178-2187, 2003
27. Hosmer DW, Lemeshow S: Applied Logistic Regression, New York, John Wiley & Sons, 1989
28. Hanley JA, McNeil BJ: The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143: 29-36, 1982
29. 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
30. Huang Y, Sullivan Pepe M, Feng Z: Evaluating the predictiveness of a continuous marker. Biometrics 63: 1181-1188, 2007
31. Coste J, Pouchot J: A grey zone for quantitative diagnostic and screening tests. Int J Epidemiol 32: 304-313, 2003
32. Hastie T, Tibshirani R: Generalized Additive Models, New York, Chapman & Hall, 1990
33. Pencina MJ, D'Agostino RB Sr., Steyerberg EW: Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med 30: 11-21, 2011
34. Pencina MJ, D'Agostino RB Sr., D'Agostino RB Jr., Vasan RS: Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond. Stat Med 27: 157-172, discussion 207-212, 2008
35. R Development Core Team: R: A Language and Environment for Statistical Computing, 2008. Available at: http://www.R-project.org. Accessed February 2013.
36. Mishra J, Dent C, Tarabishi R, Mitsnefes MM, Ma Q, Kelly C, Ruff SM, 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
37. Hirsch R, Dent C, Pfriem H, Allen J, Beekman RH 3rd, Ma Q, Dastrala S, Bennett M, Mitsnefes M, Devarajan P: NGAL is an early predictive biomarker of contrast-induced nephropathy in children. Pediatr Nephrol 22: 2089-2095, 2007
38. Kolhe NV, Stevens PE, Crowe AV, Lipkin GW, Harrison DA: Case mix, outcome and activity for patients with severe acute kidney injury during the first 24 hours after admission to an adult, general critical care unit: Application of predictive models from a secondary analysis of the ICNARC Case Mix Programme database. Crit Care 12[Suppl 1]: S2, 2008
39. Kiers HD, Griesdale DE, Litchfield A, Reynolds S, Gibney RT, Chittock D, Pickkers P, Sweet DD: Effect of early achievement of physiologic resuscitation goals in septic patients admitted from the ward on the kidneys. J Crit Care 25: 563-569, 2010
40. Uchino S, Bellomo R, Bagshaw SM, Goldsmith D: Transient azotaemia is associated with a high risk of death in hospitalized patients. Nephrol Dial Transplant 25: 1833-1839, 2010
41. Hoste EA, Kellum JA: AKI severity class doesn't tell all: The case for transient AKI. Nephrol Dial Transplant 25: 1738-1739, 2010
42. Potocki M, Breidthardt T, Reichlin T, Hartwiger S, Morgenthaler NG, Bergmann A, Noveanu M, Freidank H, Taegtmeyer AB, Wetzel K, Boldanova T, Stelzig C, Bingisser R, Christ M, Mueller C: Comparison of midregional pro-atrial natriuretic peptide with N-terminal pro-B-type natriuretic peptide in the diagnosis of heart failure. J Intern Med 267: 119-129, 2010
43. Lee HM, Kerr D, O'Hici D, Kelly AM: Clinical significance of initial troponin I in the grey zone in emergency department chest pain patients: A retrospective pilot study. Emerg Med J 27: 302-304, 2010
44. Bolignano D, Lacquaniti A, Coppolino G, Campo S, Arena A, Buemi M: Neutrophil gelatinase-associated lipocalin reflects the severity of renal impairment in subjects affected by chronic kidney disease. Kidney Blood Press Res 31: 255-258, 2008
45. Bolignano D, Lacquaniti A, Coppolino G, Donato V, Campo S, Fazio MR, Nicocia G, Buemi M: Neutrophil gelatinase-associated lipocalin (NGAL) and progression of chronic kidney disease. Clin J Am Soc Nephrol 4: 337-344, 2009
46. van Kimmenade RR, Pinto YM, Januzzi JL Jr.: Importance and interpretation of intermediate (gray zone) amino-terminal pro-Btype natriuretic peptide concentrations. Am J Cardiol 101[3A]: 39-42, 2008
47. Moons KGM, Harrell FE: Sensitivity and specificity should be deemphasized in diagnostic accuracy studies. Acad Radiol 10: 670-672, 2003
48. Pepe MS, Janes H, Longton G, Leisenring W, Newcomb P: Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker. Am J Epidemiol 159: 882-890, 2004
49. Pepe MS, Feng Z, Huang Y, Longton G, Prentice R, Thompson IM, Zheng Y: Integrating the predictiveness of a marker with its performance as a classifier. Am J Epidemiol 167: 362-368, 2008