Urinary biomarker incorporation into the renal angina index early in intensive care unit admission optimizes acute kidney injury prediction in critically ill children: A prospective cohort study

Nephrology Dialysis Transplantation

Volumn 31, Issue 4, 2016, Pages 586-594

  Menon, Shina ^a   Goldstein, Stuart L ^a   Mottes, Theresa ^a   Fei, Lin ^a   Kaddourah, Ahmad ^a   Terrell, Tara ^a   Arnold, Patricia ^a   Bennett, Michael R ^a   Basu, Rajit K ^a,b  

^a UNIVERSITY OF CINCINNATI   (United States)

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

Author keywords

acute kidney injury; biomarkers; critical care; renal angina index; risk stratification

Indexed keywords

BIOLOGICAL MARKER; FATTY ACID BINDING PROTEIN; INTERLEUKIN 18; KIDNEY INJURY MOLECULE 1; LIVER TYPE FATTY ACID BINDING PROTEIN; NEUTROPHIL GELATINASE ASSOCIATED LIPOCALIN; UNCLASSIFIED DRUG;

ACUTE KIDNEY FAILURE; ADOLESCENT; ADULT; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL VENTILATION; CHILD; CLINICAL TRIAL; COHORT ANALYSIS; CRITICALLY ILL PATIENT; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE CLASSIFICATION; DISEASE DURATION; FEMALE; HOSPITAL READMISSION; HUMAN; INTENSIVE CARE UNIT; KIDNEY PAIN; MAJOR CLINICAL STUDY; MALE; MORTALITY; PREDICTION; PREDICTIVE VALUE; PRIORITY JOURNAL; PROGNOSIS; PROSPECTIVE STUDY; RECEIVER OPERATING CHARACTERISTIC; RENAL ANGINA INDEX; RENAL SYSTEM PARAMETERS; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; TREATMENT DURATION; URINALYSIS; URINE LEVEL; VALIDATION STUDY; ACUTE KIDNEY INJURY; CRITICAL ILLNESS; EARLY DIAGNOSIS; HOSPITALIZATION; INCIDENCE; INFANT; KIDNEY; PATHOLOGY; PEDIATRIC INTENSIVE CARE UNIT; PRESCHOOL CHILD; SEVERITY OF ILLNESS INDEX; TIME FACTOR; UNITED STATES; URINE; VASCULARIZATION; YOUNG ADULT;

ACUTE KIDNEY INJURY; ADOLESCENT; ADULT; BIOMARKERS; CHILD; CHILD, PRESCHOOL; CRITICAL ILLNESS; EARLY DIAGNOSIS; FEMALE; HOSPITALIZATION; HUMANS; INCIDENCE; INFANT; INTENSIVE CARE UNITS, PEDIATRIC; KIDNEY; LIPOCALIN-2; MALE; PROSPECTIVE STUDIES; ROC CURVE; SEVERITY OF ILLNESS INDEX; TIME FACTORS; UNITED STATES; YOUNG ADULT;

EID: 84965137009     PISSN: 09310509     EISSN: 14602385     Source Type: Journal    
DOI: 10.1093/ndt/gfv457     Document Type: Article

References (46)

1. Susantitaphong P, Cruz DN, Cerda J et al. World incidence of AKI: A meta-analysis. Clin J Am Soc Nephrol 2013; 8: 1482-1493
2. Thomas ME, Blaine C, Dawnay A et al. The definition of acute kidney injury and its use in practice. Kidney Int 2015; 87: 62-73
3. Akcan-Arikan A, Zappitelli M, Loftis LL et al. Modified RIFLE criteria in critically ill children with acute kidney injury. Kidney Int 2007; 71: 1028-1035
4. Group KDIGOKAKIW. KDIGO clinical practice guideline for acute kidney injury. Kidney Int Suppl 2012; 2: 1-138
5. Hoste EA, Clermont G, Kersten A et al. RIFLE criteria for acute kidney injury are associated with hospital mortality in critically ill patients: A cohort analysis. Crit Care 2006; 10: R73
6. Mehta RL, Kellum JA, Shah SV et al. Acute kidney injury network: report of an initiative to improve outcomes in acute kidney injury. Crit Care 2007; 11: R31
7. Lewington AJ, Cerda J, Mehta RL. Raising awareness of acute kidney injury: A global perspective of a silent killer. Kidney Int 2013; 84: 457-467
8. Kellum JA, Bellomo R, Ronco C. Kidney attack. J AmMed Assoc 2012; 307: 2265-2266
9. Himmelfarb J, Joannidis M, Molitoris B et al. Evaluation and initial management of acute kidney injury. Clin J Am Soc Nephrol 2008; 3: 962-967
10. Devarajan P. Biomarkers for the early detection of acute kidney injury. Curr Opin Pediatr 2011; 23: 194-200
11. Meersch M, Schmidt C, Van Aken H et al. Validation of cell-cycle arrest biomarkers for acute kidney injury after pediatric cardiac surgery. PLoS One 2014; 9: e110865
12. Krawczeski CD, Goldstein SL,Woo JG et al. Temporal relationship and predictive value of urinary acute kidney injury biomarkers after pediatric cardiopulmonary bypass. J Am Coll Cardiol 2011; 58: 2301-2309
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. Zappitelli M, Krawczeski CD, Devarajan P et al. Early postoperative serum cystatin C predicts severe acute kidney injury following pediatric cardiac surgery. Kidney Int 2011; 80: 655-662
15. 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
16. Ronco C, Legrand M, Goldstein SL et al. Neutrophil gelatinase-associated lipocalin: ready for routine clinical use? An international perspective. Blood Purif 2014; 37: 271-285
17. Vanmassenhove J, Vanholder R, Nagler E et al. Urinary and serum biomarkers for the diagnosis of acute kidney injury: an in-depth review of the literature. Nephrol Dial Transplant 2013; 28: 254-273
18. 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
19. Pickering JW, Endre ZH. The clinical utility of plasma neutrophil gelatinase-associated lipocalin in acute Kidney Injury. Blood Purif 2013; 35: 295-302
20. 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
21. Wheeler DS, Devarajan P, Ma Q et al. Serum neutrophil gelatinaseassociated lipocalin (NGAL) as a marker of acute kidney injury in critically ill children with septic shock. Crit Care Med 2008; 36: 1297-1303
22. Haase-Fielitz A, Haase M, Devarajan P. Neutrophil gelatinase-associated lipocalin as a biomarker of acute kidney injury: A critical evaluation of current status. Ann Clin Biochem 2014; 51 (Pt 3): 335-351
23. LimW, Whitlock R, Khera V et al. Etiology of troponin elevation in critically ill patients. J Crit Care 2010; 25: 322-328
24. Basu RK, Chawla LS, Wheeler DS et al. Renal angina: an emerging paradigm to identify children at risk for acute kidney injury. Pediatr Nephrol 2012; 27: 1067-1078
25. 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
26. Basu RK, Wang Y, Wong HR et al. Incorporation of biomarkers with the renal angina index for prediction of severe AKI in critically ill children. Clin J Am Soc Nephrol 2014; 9: 654-662
27. Pollack MM, Patel KM, Ruttimann UE. PRISM III: an updated pediatric risk of mortality score. Crit Care Med 1996; 24: 743-752
28. Goldstein SL, Currier H, Graf C et al. Outcome in children receiving continuous venovenous hemofiltration. Pediatrics 2001; 107: 1309-1312
29. Zappitelli M, Parikh CR, Akcan-Arikan A et al. Ascertainment and epidemiology of acute kidney injury varies with definition interpretation. Clin J Am Soc Nephrol 2008; 3: 948-954
30. Basu RK,Wong HR, Krawczeski CD et al. Combining functional and tubular damage biomarkers improves diagnostic precision for acute kidney injury after cardiac surgery. J Am Coll Cardiol 2014; 64: 2753-2762
31. 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
32. Kundu S, Aulchenko YS, van Duijn CM et al. PredictABEL: an R package for the assessment of risk prediction models. Eur J Epidemiol 2011; 26: 261-264
33. 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
34. 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
35. Pencina MJ, D'Agostino RB, Vasan RS. Statistical methods for assessment of added usefulness of new biomarkers. Clin Chem Lab Med 2010; 48: 1703-1711
36. Goldstein SL, Chawla LS. Renal angina. Clin J Am Soc Nephrol 2010; 5: 943-949
37. Ronco C, Ricci Z. The concept of risk and the value of novel markers of acute kidney injury. Crit Care 2013; 17: 117
38. Sutherland SM, Zappitelli M, Alexander SR et al. Fluid overload and mortality in children receiving continuous renal replacement therapy: The prospective pediatric continuous renal replacement therapy registry. Am J Kidney Dis 2010; 55: 316-325
39. National Heart, Lung, and Blood Institute Acute Respiratory Distress Syndrome Clinical Trials Network, Wheeler AP, Bernard GR et al. Pulmonary-artery versus central venous catheter to guide treatment of acute lung injury. N Engl J Med 2006; 354: 2213-2224
40. Hazle MA, Gajarski RJ, Yu S et al. Fluid overload in infants following congenital heart surgery. Pediatr Crit Care Med 2013; 14: 44-49
41. Valentine SL, Sapru A, Higgerson RA et al. Fluid balance in critically ill children with acute lung injury. Crit Care Med 2012; 40: 2883-2889
42. Arikan AA, Zappitelli M, Goldstein SL et al. Fluid overload is associated with impaired oxygenation and morbidity in critically ill children. Pediatr Crit Care Med 2012; 13: 253-258
43. Macedo E, Bouchard J, Soroko SH et al. Fluid accumulation, recognition and staging of acute kidney injury in critically-ill patients. Crit Care 2010; 14: R82
44. Basu RK, Andrews A, Krawczeski C et al. Acute kidney injury based on corrected serum creatinine is associated with increased morbidity in children following the arterial switch operation. Pediatr Crit Care Med 2013; 14: e218-e224
45. Kellum JA, Sileanu FE, Murugan R et al. Classifying AKI by urine output versus serum creatinine level. J Am Soc Nephrol 2015; 26: 2231-2238
46. Schneider J, Khemani R, Grushkin C et al. Serum creatinine as stratified in the RIFLE score for acute kidney injury is associated with mortality and length of stay for children in the pediatric intensive care unit. Crit Care Med 2010; 38: 933-939