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Volumn 31, Issue 2, 2016, Pages 231-240

Risk prediction models for acute kidney injury following major noncardiac surgery: Systematic review

Author keywords

Acute kidney injury; Noncardiac surgery; Risk prediction model; Systematic review; Validation

Indexed keywords

ACUTE KIDNEY FAILURE; HIGH RISK PATIENT; HUMAN; LIVER RESECTION; LIVER TRANSPLANTATION; NONCARDIAC SURGERY; OUTCOME ASSESSMENT; PREDICTION; PRIORITY JOURNAL; RENAL REPLACEMENT THERAPY; REVIEW; RISK ASSESSMENT; SURGERY; SYSTEMATIC REVIEW; ACUTE KIDNEY INJURY; ADVERSE EFFECTS; GLOBAL HEALTH; INCIDENCE; POSTOPERATIVE COMPLICATION; PROCEDURES; PROGNOSIS; RISK FACTOR; THEORETICAL MODEL;

EID: 84964825384     PISSN: 09310509     EISSN: 14602385     Source Type: Journal    
DOI: 10.1093/ndt/gfv415     Document Type: Review
Times cited : (68)

References (28)
  • 3
    • 84055222724 scopus 로고    scopus 로고
    • Predicting acute kidney injury after cardiac surgery: A systematic review
    • Huen SC, Parikh CR. Predicting acute kidney injury after cardiac surgery: a systematic review. Ann Thorac Surg 2012; 93: 337-347
    • (2012) Ann Thorac Surg , vol.93 , pp. 337-347
    • Huen, S.C.1    Parikh, C.R.2
  • 4
    • 84890429956 scopus 로고    scopus 로고
    • Incidence, risk factors, and outcomes of perioperative acute kidney injury in noncardiac and nonvascular surgery
    • Biteker M, Dayan A, Tekkesin AI et al. Incidence, risk factors, and outcomes of perioperative acute kidney injury in noncardiac and nonvascular surgery. Am J Surg 2014; 207: 53-59
    • (2014) Am J Surg , vol.207 , pp. 53-59
    • Biteker, M.1    Dayan, A.2    Tekkesin, A.I.3
  • 5
    • 62349127883 scopus 로고    scopus 로고
    • Development and validation of an acute kidney injury risk index for patients undergoing general surgery: Results from a national data set
    • Kheterpal S, Tremper KK, Heung M et al. Development and validation of an acute kidney injury risk index for patients undergoing general surgery: results from a national data set. Anesthesiology 2009; 110: 505-515
    • (2009) Anesthesiology , vol.110 , pp. 505-515
    • Kheterpal, S.1    Tremper, K.K.2    Heung, M.3
  • 6
    • 84860113852 scopus 로고    scopus 로고
    • Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker
    • Moons KG, Kengne AP, Woodward M et al. Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker. Heart 2012; 98: 683-690
    • (2012) Heart , vol.98 , pp. 683-690
    • Moons, K.G.1    Kengne, A.P.2    Woodward, M.3
  • 7
    • 84860159431 scopus 로고    scopus 로고
    • Risk prediction models: II. External validation, model updating, and impact assessment
    • Moons KG, Kengne AP, Grobbee DE et al. Risk prediction models: II. External validation, model updating, and impact assessment. Heart 2012; 98: 691-698
    • (2012) Heart , vol.98 , pp. 691-698
    • Moons, K.G.1    Kengne, A.P.2    Grobbee, D.E.3
  • 9
    • 0034685429 scopus 로고    scopus 로고
    • Meta-analysis of observational studies in epidemiology: A proposal for reporting. Meta-analysis of Observational Studies in Epidemiology (MOOSE) group
    • Stroup DF, Berlin JA, Morton SC et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 2000; 283: 2008-2012
    • (2000) JAMA , vol.283 , pp. 2008-2012
    • Stroup, D.F.1    Berlin, J.A.2    Morton, S.C.3
  • 11
    • 34247235247 scopus 로고    scopus 로고
    • Acute Kidney Injury Network: Report of an initiative to improve outcomes in acute kidney injury
    • 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
    • (2007) Crit Care , vol.11 , pp. R31
    • Mehta, R.L.1    Kellum, J.A.2    Shah, S.V.3
  • 13
    • 74849106750 scopus 로고    scopus 로고
    • Development of a quality checklist using Delphi methods for prescriptive clinical prediction rules: The QUADCPR
    • Cook C, Brismée J-M, Pietrobon R et al. Development of a quality checklist using Delphi methods for prescriptive clinical prediction rules: the QUADCPR. J Manipulative Physiol Ther 2010; 33: 29-41
    • (2010) J Manipulative Physiol Ther , vol.33 , pp. 29-41
    • Cook, C.1    Brismée, J.-M.2    Pietrobon, R.3
  • 14
    • 33847109797 scopus 로고    scopus 로고
    • Use and misuse of the receiver operating characteristic curve in risk prediction
    • Cook NR. Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation 2007; 115: 928-935
    • (2007) Circulation , vol.115 , pp. 928-935
    • Cook, N.R.1
  • 15
    • 84923923813 scopus 로고    scopus 로고
    • Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement
    • Collins GS, Reitsma JB, Altman DG et al. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. Ann Intern Med 2015; 162: 55-63
    • (2015) Ann Intern Med , vol.162 , pp. 55-63
    • Collins, G.S.1    Reitsma, J.B.2    Altman, D.G.3
  • 16
    • 0031017667 scopus 로고    scopus 로고
    • Clinical prediction rules. A review and suggested modifications ofmethodological standards
    • Laupacis A, Sekar N, Stiell IG. Clinical prediction rules. A review and suggested modifications ofmethodological standards. JAMA1997; 277: 488-494
    • (1997) JAMA , vol.277 , pp. 488-494
    • Laupacis, A.1    Sekar, N.2    Stiell, I.G.3
  • 17
    • 33645642434 scopus 로고    scopus 로고
    • Evaluation of the quality of prognosis studies in systematic reviews
    • Hayden JA, Cote P, Bombardier C. Evaluation of the quality of prognosis studies in systematic reviews. Ann Intern Med 2006; 144: 427-437
    • (2006) Ann Intern Med , vol.144 , pp. 427-437
    • Hayden, J.A.1    Cote, P.2    Bombardier, C.3
  • 18
    • 84893606610 scopus 로고    scopus 로고
    • The predictors for continuous renal replacement therapy in liver transplant recipients
    • Kim JM, Jo YY, Na SW et al. The predictors for continuous renal replacement therapy in liver transplant recipients. Transplant Proc 2014; 46: 184-191
    • (2014) Transplant Proc , vol.46 , pp. 184-191
    • Kim, J.M.1    Jo, Y.Y.2    Na, S.W.3
  • 19
    • 6344256212 scopus 로고    scopus 로고
    • Preoperative and perioperative predictors of the need for renal replacement therapy after orthotopic liver transplantation
    • Sanchez EQ, Gonwa TA, Levy MFet al. Preoperative and perioperative predictors of the need for renal replacement therapy after orthotopic liver transplantation. Transplantation 2004; 78: 1048-1054
    • (2004) Transplantation , vol.78 , pp. 1048-1054
    • Sanchez, E.Q.1    Gonwa, T.A.2    Levy, M.F.3
  • 20
    • 53749092077 scopus 로고    scopus 로고
    • Development of a risk stratification model for predicting acute renal failure in orthotopic liver transplantation recipients
    • Rueggeberg A, Boehm S, Napieralski F et al. Development of a risk stratification model for predicting acute renal failure in orthotopic liver transplantation recipients. Anaesthesia 2008; 63: 1174-1180
    • (2008) Anaesthesia , vol.63 , pp. 1174-1180
    • Rueggeberg, A.1    Boehm, S.2    Napieralski, F.3
  • 21
    • 70449347932 scopus 로고    scopus 로고
    • Development and validation of a prediction score for postoperative acute renal failure following liver resection
    • Slankamenac K, Breitenstein S, Held U et al. Development and validation of a prediction score for postoperative acute renal failure following liver resection. Ann Surg 2009; 250: 720-728
    • (2009) Ann Surg , vol.250 , pp. 720-728
    • Slankamenac, K.1    Breitenstein, S.2    Held, U.3
  • 22
    • 84885839035 scopus 로고    scopus 로고
    • Novel prediction score including pre- and intraoperative parameters best predicts acute kidney injury after liver surgery
    • Slankamenac K, Beck-Schimmer B, Breitenstein S et al. Novel prediction score including pre- and intraoperative parameters best predicts acute kidney injury after liver surgery. World J Surg 2013; 37: 2618-2628
    • (2013) World J Surg , vol.37 , pp. 2618-2628
    • Slankamenac, K.1    Beck-Schimmer, B.2    Breitenstein, S.3
  • 23
    • 9644265270 scopus 로고    scopus 로고
    • Automated variable selection methods for logistic regression produced unstable models for predicting acute myocardial infarction mortality
    • Austin PC, Tu JV. Automated variable selection methods for logistic regression produced unstable models for predicting acute myocardial infarction mortality. J Clin Epidemiol 2004; 57: 1138-1146
    • (2004) J Clin Epidemiol , vol.57 , pp. 1138-1146
    • Austin, P.C.1    Tu, J.V.2
  • 24
    • 31344435149 scopus 로고    scopus 로고
    • Dichotomizing continuous predictors in multiple regression: A bad idea
    • Royston P, Altman DG, Sauerbrei W. Dichotomizing continuous predictors in multiple regression: a bad idea. Stat Med 2006; 25: 127-141
    • (2006) Stat Med , vol.25 , pp. 127-141
    • Royston, P.1    Altman, D.G.2    Sauerbrei, W.3
  • 25
    • 0034728356 scopus 로고    scopus 로고
    • What do we mean by validating a prognostic model?
    • Altman DG, Royston P. What do we mean by validating a prognostic model? Stat Med 2000; 19: 453-473
    • (2000) Stat Med , vol.19 , pp. 453-473
    • Altman, D.G.1    Royston, P.2
  • 26
    • 0033574245 scopus 로고    scopus 로고
    • Assessing the generalizability of prognostic information
    • Justice AC, Covinsky KE, Berlin JA. Assessing the generalizability of prognostic information. Ann Intern Med 1999; 130: 515-524
    • (1999) Ann Intern Med , vol.130 , pp. 515-524
    • Justice, A.C.1    Covinsky, K.E.2    Berlin, J.A.3
  • 27
    • 84858982530 scopus 로고    scopus 로고
    • KDIGO clinical practice guideline for acute kidney injury
    • Kidney Disease: Improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group. KDIGO clinical practice guideline for acute kidney injury. Kidney Int 2012; 2: 1-138
    • (2012) Kidney Int , vol.2 , pp. 1-138
  • 28
    • 84858999435 scopus 로고    scopus 로고
    • Clinical prediction rules
    • Adams ST, Leveson SH. Clinical prediction rules. BMJ 2012; 344: d8312
    • (2012) BMJ , vol.344 , pp. d8312
    • Adams, S.T.1    Leveson, S.H.2


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