Nomogram to predict the risk of septic acute kidney injury in the first 24 h of admission: an analysis of intensive care unit data

References

• Koyner JL, Adhikari R, Edelson DP, et al. Development of a multicenter ward-based AKI prediction model. CJASN. 2016;11(11):1935–1943.
   PubMed Web of Science ®Google Scholar
• Chertow GM, Burdick E, Honour M, et al. Acute kidney injury, mortality, length of stay, and costs in hospitalized patients. JASN. 2005;16(11):3365–3370.
   Web of Science ®Google Scholar
• Hoste EA, Bagshaw SM, Bellomo R, et al. Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study. Intensive Care Med. 2015;41(8):1411–1423.
   PubMed Web of Science ®Google Scholar
• Case J, Khan S, Khalid R, et al. Epidemiology of acute kidney injury in the intensive care unit. Crit Care Res Pract. 2013;2013:1–9.
   Google Scholar
• Kashani K, Shao M, Li G, et al. No increase in the incidence of acute kidney injury in a population-based annual temporal trends epidemiology study. Kidney Int. 2017;92(3):721–728.
   PubMed Web of Science ®Google Scholar
• Bagshaw SM, Uchino S, Bellomo R, et al. Septic acute kidney injury in critically ill patients: clinical characteristics and outcomes. CJASN. 2007;2(3):431–439.
   PubMed Web of Science ®Google Scholar
• Bouchard J, Acharya A, Cerda J, et al. A prospective international multicenter study of AKI in the intensive care unit. CJASN. 2015;10(8):1324–1331.
   PubMed Web of Science ®Google Scholar
• Bagshaw SM, George C, Bellomo R, et al.; the ANZICS Database Management Committee. Early acute kidney injury and sepsis: a multicentre evaluation. Crit Care. 2008;12(2):R47.
   PubMed Web of Science ®Google Scholar
• Section 2: AKI Definition. Kidney Int Suppl. 2011;2(1):19–36.
   Google Scholar
• Sprung CL, Reinhart K. Definitions for sepsis and septic shock. JAMA. 2016;316(4):456–457.
   PubMedGoogle Scholar
• Ponce D, Zorzenon C. d P F, Santos N. Y d, et al. Early nephrology consultation can have an impact on outcome of acute kidney injury patients. Nephrol Dial Transplant. 2011;26(10):3202–3206.
   PubMed Web of Science ®Google Scholar
• Zappitelli M, Greenberg JH, Coca SG, et al. Association of definition of acute kidney injury by cystatin C rise with biomarkers and clinical outcomes in children undergoing cardiac surgery. JAMA Pediatr. 2015;169(6):583–591.
   PubMed Web of Science ®Google Scholar
• Wang JJ, Chi NH, Huang TM, et al. Urinary biomarkers predict advanced acute kidney injury after cardiovascular surgery. Crit Care. 2018;22(1):108.
   PubMedGoogle Scholar
• Wang M, Zhang Q, Zhao X, et al. Diagnostic and prognostic value of neutrophil gelatinase-associated lipocalin, matrix metalloproteinase-9, and tissue inhibitor of matrix metalloproteinases-1 for sepsis in the Emergency Department: an observational study. Crit Care. 2014;18(6):634.
   PubMed Web of Science ®Google Scholar
• Malhotra R, Kashani KB, Macedo E, et al. A risk prediction score for acute kidney injury in the intensive care unit. Nephrol Dial Transplant. 2017;32(5):814–822.
   PubMed Web of Science ®Google Scholar
• Thakar CV, Arrigain S, Worley S, et al. A clinical score to predict acute renal failure after cardiac surgery. JASN. 2005;16(1):162–168.
   Web of Science ®Google Scholar
• Mehran R, Aymong ED, Nikolsky E, et al. A simple risk score for prediction of contrast-induced nephropathy after percutaneous coronary intervention: development and initial validation. J Am Coll Cardiol. 2004;44(7):1393–1399.
   PubMed Web of Science ®Google Scholar
• Johnson AE, Pollard TJ, Shen L, et al. MIMIC-III, a freely accessible critical care database. Sci Data. 2016;3(1):160035.
   PubMedGoogle Scholar
• Collins GS, Reitsma JB, Altman DG, et al. Moons KGM, members of the Tg. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. Eur Urol. 2015;67(6):1142–1151.
   PubMed Web of Science ®Google Scholar
• Johnson AEW, Aboab J, Raffa JD, et al. A comparative analysis of sepsis identification methods in an electronic database. Crit Care Med. 2018;46(4):494–499.
   PubMed Web of Science ®Google Scholar
• Schmitt R, Coca S, Kanbay M, et al. Recovery of kidney function after acute kidney injury in the elderly: a systematic review and meta-analysis. Am J Kidney Dis. 2008;52(2):262–271.
   PubMed Web of Science ®Google Scholar
• Kane-Gill SL, Sileanu FE, Murugan R, et al. Risk factors for acute kidney injury in older adults with critical illness: a retrospective cohort study. Am J Kidney Dis. 2015;65(6):860–869.
   PubMed Web of Science ®Google Scholar
• Mehta RL, McDonald B, Gabbai F, et al. Nephrology consultation in acute renal failure: does timing matter? Am J Med. 2002;113(6):456–461.
   PubMed Web of Science ®Google Scholar
• Kashani K, Ronco C. Acute kidney injury electronic alert for nephrologist: reactive versus proactive? Blood Purif. 2016;42(4):323–328.
   PubMed Web of Science ®Google Scholar
• Pannu N, Graham M, Klarenbach S, et al. A new model to predict acute kidney injury requiring renal replacement therapy after cardiac surgery. CMAJ. 2016;188(15):1076–1083.
   PubMed Web of Science ®Google Scholar
• Park MH, Shim HS, Kim WH, et al. Clinical risk scoring models for prediction of acute kidney injury after living donor liver transplantation: a retrospective observational study. PLoS One. 2015;10(8):e0136230.
   PubMed Web of Science ®Google Scholar
• Tomasev N, Glorot X, Rae JW, et al. A clinically applicable approach to continuous prediction of future acute kidney injury. Nature. 2019;572(7767):116–119.
   PubMed Web of Science ®Google Scholar
• Rachoin JS, Daher R, Moussallem C, et al. The fallacy of the BUN:creatinine ratio in critically ill patients. Nephrol Dial Transplant. 2012;27(6):2248–2254.
   PubMed Web of Science ®Google Scholar
• Eriksson M, Brattstrom O, Martensson J, et al. Acute kidney injury following severe trauma: Risk factors and long-term outcome. J Trauma Acute Care Surg. 2015;79(3):407–412.
   PubMed Web of Science ®Google Scholar
• Haas SA, Lange T, Saugel B, et al. Severe hyperlactatemia, lactate clearance and mortality in unselected critically ill patients. Intensive Care Med. 2016;42(2):202–210.
   PubMed Web of Science ®Google Scholar
• Li J, Chen Y, Deng F, et al. Protective effect and mechanisms of exogenous neutrophil gelatinase-associated lipocalin on lipopolysaccharide-induced injury of renal tubular epithelial cell. Biochem Biophys Res Commun. 2019;515(1):104–111.
   PubMed Web of Science ®Google Scholar
• Bengatta S, Arnould C, Letavernier E, et al. MMP9 and SCF protect from apoptosis in acute kidney injury. JASN. 2009;20(4):787–797.
   Web of Science ®Google Scholar
• Li DY, Yin WJ, Zhou LY, et al. Utility of cystatin C-based equations in patients undergoing dialysis. Clin Chim Acta. 2018;485:282–287.
   PubMed Web of Science ®Google Scholar