These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
24. Incidence of nonconfounded post-computed tomography acute kidney injury in hospitalized patients with stable renal function receiving intravenous iodinated contrast material. Moore A; Dickerson E; Dillman JR; Vummidi D; Kershaw DB; Khalatbari S; Davenport MS Curr Probl Diagn Radiol; 2014; 43(5):237-41. PubMed ID: 24909428 [TBL] [Abstract][Full Text] [Related]
25. Comparison of prognostic value of two kinds of severity scoring systems for hospital mortality prediction of elderly patients with acute kidney injury. Gong Y; Xu H; Xu Z; Zhang F; Hao C; Gu Y; Lin S; Ding F Aging Clin Exp Res; 2012 Feb; 24(1):74-8. PubMed ID: 21464607 [TBL] [Abstract][Full Text] [Related]
26. New metrics for assessing diagnostic potential of candidate biomarkers. Pickering JW; Endre ZH Clin J Am Soc Nephrol; 2012 Aug; 7(8):1355-64. PubMed ID: 22679181 [TBL] [Abstract][Full Text] [Related]
27. Use of electronic results reporting to diagnose and monitor AKI in hospitalized patients. Selby NM; Crowley L; Fluck RJ; McIntyre CW; Monaghan J; Lawson N; Kolhe NV Clin J Am Soc Nephrol; 2012 Apr; 7(4):533-40. PubMed ID: 22362062 [TBL] [Abstract][Full Text] [Related]
28. Validation of clinical scores predicting severe acute kidney injury after cardiac surgery. Englberger L; Suri RM; Li Z; Dearani JA; Park SJ; Sundt TM; Schaff HV Am J Kidney Dis; 2010 Oct; 56(4):623-31. PubMed ID: 20630639 [TBL] [Abstract][Full Text] [Related]
29. Electronic Health Record-Enabled Big-Data Approaches to Nephrotoxin-Associated Acute Kidney Injury Risk Prediction. Sutherland SM Pharmacotherapy; 2018 Aug; 38(8):804-812. PubMed ID: 29885015 [TBL] [Abstract][Full Text] [Related]
30. Acute Kidney Injury in Liver Disease: Role of Biomarkers. Belcher JM Adv Chronic Kidney Dis; 2015 Sep; 22(5):368-75. PubMed ID: 26311598 [TBL] [Abstract][Full Text] [Related]
31. The Role of Scoring Systems and Urine Dipstick in Prediction of Rhabdomyolysis-induced Acute Kidney Injury: a Systematic Review. Safari S; Yousefifard M; Hashemi B; Baratloo A; Forouzanfar MM; Rahmati F; Motamedi M; Najafi I Iran J Kidney Dis; 2016 May; 10(3):101-6. PubMed ID: 27225716 [TBL] [Abstract][Full Text] [Related]
32. Pediatric acute kidney injury: prevalence, impact and management challenges. Ciccia E; Devarajan P Int J Nephrol Renovasc Dis; 2017; 10():77-84. PubMed ID: 28435306 [TBL] [Abstract][Full Text] [Related]
34. The Role of Risk Prediction Models in Prevention and Management of AKI. Hodgson LE; Selby N; Huang TM; Forni LG Semin Nephrol; 2019 Sep; 39(5):421-430. PubMed ID: 31514906 [TBL] [Abstract][Full Text] [Related]
35. Acute kidney injury prediction models: current concepts and future strategies. Park S; Lee H Curr Opin Nephrol Hypertens; 2019 Nov; 28(6):552-559. PubMed ID: 31356235 [TBL] [Abstract][Full Text] [Related]
36. Computer decision support for acute kidney injury: current and future. Kashani K Curr Opin Crit Care; 2016 Dec; 22(6):520-526. PubMed ID: 27652908 [TBL] [Abstract][Full Text] [Related]
37. The Current State of the Art in Acute Kidney Injury. Devarajan P Front Pediatr; 2020; 8():70. PubMed ID: 32257978 [TBL] [Abstract][Full Text] [Related]
38. Utilizing electronic health records to predict acute kidney injury risk and outcomes: workgroup statements from the 15(th) ADQI Consensus Conference. Sutherland SM; Chawla LS; Kane-Gill SL; Hsu RK; Kramer AA; Goldstein SL; Kellum JA; Ronco C; Bagshaw SM; Can J Kidney Health Dis; 2016; 3():11. PubMed ID: 26925247 [TBL] [Abstract][Full Text] [Related]
40. Prediction Models for AKI: Will They Result in Improved Outcomes for AKI? Kwong YD; Liu KD Clin J Am Soc Nephrol; 2019 Apr; 14(4):488-490. PubMed ID: 30917995 [No Abstract] [Full Text] [Related] [Previous] [Next] [New Search]