Urinary neutrophil gelatinase-associated lipocalin-guided risk assessment for major adverse kidney events after open-heart surgery

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References

• 1 Saratzis A, Harrison S, Barratt J, Sayers RD, Sarafidis PA, Bown MJ. Intervention associated acute kidney injury and long-term cardiovascular outcomes. Am. J. Nephrol. 42(4), 285–294 (2015).
  Medline CASGoogle Scholar
• 2 Kidney Disease: Improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group. KDIGO Clinical Practice Guideline for acute kidney injury. Kidney Inter. Suppl. 2(1), 1–138 (2012).
  Google Scholar
• 3 McCullough PA, Shaw AD, Haase M et al. Diagnosis of acute kidney injury using functional and injury biomarkers: workgroup statements from the tenth Acute Dialysis Quality Initiative Consensus Conference. Contrib. Nephrol. 182, 13–29 (2013). •• For the first time kidney injury biomarker positivity has been included as diagnostic criterion for acute kidney injury (AKI) to complement established renal functional criteria.
  MedlineGoogle Scholar
• 4 Haase M, Bellomo R, Albert C et al. The identification of three novel biomarkers of major adverse kidney events. Biomarkers Med. 8(10), 1207–1217 (2014).
  CASGoogle Scholar
• 5 Haase M, Bellomo R, Devarajan P, Schlattmann P, Haase-Fielitz A, NGAL Meta-analysis Investigator Group. Accuracy of neutrophil gelatinase-associated liipocalin (NGAL) in diagnosis and prognosis in acute kidney injury: a systemic review and meta-analysis. AJKD 54(6), 1012–1024 (2009).
  Medline CASGoogle Scholar
• 6 Zhou F, Luo Q, Wang L, Han L. Diagnostic value of neutrophil gelatinase-associated lipocalin for early diagnosis of cardiac surgery-associated acute kidney injury: a meta-analysis. Eur. J. Cardiothorac, Surg. 49(3), 746–755 (2016).
  MedlineGoogle Scholar
• 7 de Geus HRH, Betjes MG, Schaick RV, Groeneveld JABJ. Plasma NGAL similarly predicts acute kidney injury in sepsis and nonsepsis. Biomarkers Med. 7(3), 415–421 (2013).
  CASGoogle Scholar
• 8 Pickering JW, Endre ZH. The clinical utility of plasma neutrophil gelatinase-associated lipocalin in acute kidney injury. Blood Purif. 35(4), 295–302 (2013).
  Medline CASGoogle Scholar
• 9 Park CM, Kim JS, Moon H-W et al. Usefulness of plasma neutrophil gelatinase-associated lipocalin as an early marker of acute kidney injury after cardiopulmonary bypass in Korean cardiac patients: a prospective observational study. Clin. Biochem. 48(1–2), 44–49 (2015).
  MedlineGoogle Scholar
• 10 Perrotti A, Miltgen G, Chevet-Noel A et al. Neutrophil gelatinase-associated lipocalin as early predictor of acute kidney injury after cardiac surgery in adults with chronic kidney failure. Ann. Thorac. Surg. 99(3), 1–6 (2015).
  Google Scholar
• 11 Elm von E, Altman DG, Egger M et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Int. J. Surg. 12(12), 1495–1499 (2014).
  MedlineGoogle Scholar
• 12 Haase M, Haase-Fielitz A, Plass M et al. Prophylactic perioperative sodium bicarbonate to prevent acute kidney injury following open heart surgery: a multicenter double-blinded randomized controlled trial. PLoS Med. 10(4), e1001426 (2013).
  MedlineGoogle Scholar
• 13 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(4), R204–R212 (2004).
  MedlineGoogle Scholar
• 14 Englberger L, Suri RM, Li Z et al. Clinical accuracy of RIFLE and Acute Kidney Injury Network (AKIN) criteria for acute kidney injury in patients undergoing cardiac surgery. Crit. Care 15(1), R16 (2011).
  MedlineGoogle Scholar
• 15 Xiong J, Tang X, Hu Z, Nie L, Wang Y, Zhao J. The RIFLE versus AKIN classification for incidence and mortality of acute kidney injury in critical ill patients: a meta-analysis. Sci. Rep. 5, 1–9 (2015).
  CASGoogle Scholar
• 16 RENAL Replacement Therapy Study Investigators, Bellomo R, Cass A et al. Intensity of continuous renal-replacement therapy in critically ill patients. N. Engl. J. Med. 361(17), 1627–1638 (2009).
  MedlineGoogle Scholar
• 17 Haase-Fielitz A, Bellomo R, Devarajan P et al. The predictive performance of plasma neutrophil gelatinase-associated lipocalin (NGAL) increases with grade of acute kidney injury. Nephrol. Dial. Transplant 24(11), 3349–3354 (2009).
  Medline CASGoogle Scholar
• 18 Ralib AM, Pickering JW, Shaw GM, Than MP, George PM, Endre ZH. The clinical utility window for acute kidney injury biomarkers in the critically ill. Crit. Care 18(6), 672–13 (2014).
  MedlineGoogle Scholar
• 19 Basu RK, Wang Y, Wong HR, Chawla LS, Wheeler DS, Goldstein SL. Incorporation of biomarkers with the renal angina index for prediction of severe AKI in critically ill children. Clin. J. Am. Soc. Nephrol. 9(4), 654–662 (2014).
  MedlineGoogle Scholar
• 20 Pencina MJ, D'Agostino RB Sr, Steyerberg EW. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Statist. Med. 30(1), 11–21 (2010).
  MedlineGoogle Scholar
• 21 Pencina MJ, D'Agostino RB, Massaro JM. Understanding increments in model performance metrics. Lifetime Data Anal. 19(2), 202–218 (2013).
  MedlineGoogle Scholar
• 22 Renhua L, Miaolin C, Junlin W et al. The level of the biomarkers at the time of nephrology consultation might predict the prognosis of acute kidney injury in hospitalized patients. Blood Purif. 38(2), 89–95 (2014).
  MedlineGoogle Scholar
• 23 Lim WH, Lewis JR, Wong G et al. Plasma neutrophil gelatinase-associated lipocalin and kidney function decline and kidney disease-related clinical events in older women. Am. J. Nephrol. 41(2), 156–164 (2015).
  Medline CASGoogle Scholar
• 24 Di Somma S, Magrini L, De Berardinis B et al. Additive value of blood neutrophil gelatinase- associated lipocalin to clinical judgement in acute kidney injury diagnosis and mortality prediction in patients hospitalized from the emergency department. Crit. Care 17(1), R29 (2013).
  MedlineGoogle Scholar
• 25 Bihorac A, Chawla LS, Shaw AD et al. Validation of cell-cycle arrest biomarkers for acute kidney injury using clinical adjudication. Am. J. Respir. Crit. Care Med. 189(8), 932–939 (2014).
  Medline CASGoogle Scholar
• 26 Basu RKB, 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. 64(25), 2753–2762 (2014).
  Medline CASGoogle Scholar
• 27 Hu P, Liu SY, Zhang DD, Xu Y, Xia X. Urinary C-type natriuretic peptide excretion: a promising biomarker to detect underlying renal injury and remodeling both acutely and chronically. Biomarkers Med. 10(9), 999–1008 (2016).
  CASGoogle Scholar
• 28 Parr SK, Clark AJ, Bian A et al. Urinary L-FABP predicts poor outcomes in critically ill patients with early acute kidney injury. Kidney Int. 87(3), 640–648 (2015).
  Medline CASGoogle Scholar
• 29 Kashani K, Al-Khafaji A, Ardiles T et al. Discovery and validation of cell-cycle arrest biomarkers in human acute kidney injury. Crit. Care 17(1), R25 (2013). • Markers of cell-cycle arrest, including TIMP-2 and IGFBP7, have been implicated in the occurrence of AKI in critically ill patients.
  MedlineGoogle Scholar
• 30 Lin H, Scherzer R, Philbrook HT et al. Group analysis identifies differentially elevated biomarkers with distinct outcomes for advanced acute kidney injury in cardiac surgery. Biomarkers Med. 11(12), 1091–1102 (2017).
  CASGoogle Scholar
• 31 Haase M, Devarajan P, Haase-Fielitz A et al. The outcome of neutrophil gelatinase-associated lipocalin-positive subclinical acute kidney injury. J. Am. Coll. Cardiol. 57(17), 1752–1761 (2011). • For the first time, data in support of the concept of subclinical AKI were presented. Early kidney biomarker positivity was shown to carry higher risk for major adverse kidney events even without significant serum creatinine increase/urine output decrease.
  Medline CASGoogle Scholar
• 32 Albert C, Albert A, Kube J et al. Urinary biomarkers may provide prognostic information for subclinical acute kidney injury after cardiac surgery. J. Thorac. Cardiovasc. Surg 155(6), 2441–2452 (2018).
  Medline CASGoogle Scholar
• 33 Meersch M, Schmidt C, Hoffmeier A et al. Prevention of cardiac surgery-associated AKI by implementing the KDIGO guidelines in high-risk patients identified by biomarkers: the PrevAKI randomized controlled trial. Intensive Care Med. 43(11), 1551–1561 (2017). •• Implementation of Kidney Disease Improving Global Outcome Guidelines in patients identified by a biomarker guided algorithm compared with standard care reduced the frequency and severity of AKI after cardiac surgery.
  Medline CASGoogle Scholar
• 34 Zarbock A, Kellum JA, Schmidt C et al. Effect of early vs delayed initiation of renal replacement therapy on mortality in critically ill patients with acute kidney injury: the ELAIN randomized clinical trial. JAMA 315(20), 2190–2199 (2016).
  Medline CASGoogle Scholar