199 related articles for article (PubMed ID: 30764796)
1. Identifying on admission patients likely to develop acute kidney injury in hospital.
Argyropoulos A; Townley S; Upton PM; Dickinson S; Pollard AS
BMC Nephrol; 2019 Feb; 20(1):56. PubMed ID: 30764796
[TBL] [Abstract][Full Text] [Related]
2. A simple real-time model for predicting acute kidney injury in hospitalized patients in the US: A descriptive modeling study.
Simonov M; Ugwuowo U; Moreira E; Yamamoto Y; Biswas A; Martin M; Testani J; Wilson FP
PLoS Med; 2019 Jul; 16(7):e1002861. PubMed ID: 31306408
[TBL] [Abstract][Full Text] [Related]
3. The serum heart-type fatty acid-binding protein (HFABP) levels can be used to detect the presence of acute kidney injury on admission in patients admitted to the non-surgical intensive care unit.
Shirakabe A; Kobayashi N; Hata N; Shinada T; Tomita K; Tsurumi M; Okazaki H; Matsushita M; Yamamoto Y; Yokoyama S; Asai K; Shimizu W
BMC Cardiovasc Disord; 2016 Sep; 16(1):174. PubMed ID: 27596162
[TBL] [Abstract][Full Text] [Related]
4. Predicting AKI in emergency admissions: an external validation study of the acute kidney injury prediction score (APS).
Hodgson LE; Dimitrov BD; Roderick PJ; Venn R; Forni LG
BMJ Open; 2017 Mar; 7(3):e013511. PubMed ID: 28274964
[TBL] [Abstract][Full Text] [Related]
5. Electronic health records accurately predict renal replacement therapy in acute kidney injury.
Low S; Vathsala A; Murali TM; Pang L; MacLaren G; Ng WY; Haroon S; Mukhopadhyay A; Lim SL; Tan BH; Lau T; Chua HR
BMC Nephrol; 2019 Jan; 20(1):32. PubMed ID: 30704418
[TBL] [Abstract][Full Text] [Related]
6. [Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].
Tang CQ; Li JQ; Xu DY; Liu XB; Hou WJ; Lyu KY; Xiao SC; Xia ZF
Zhonghua Shao Shang Za Zhi; 2018 Jun; 34(6):343-348. PubMed ID: 29961290
[No Abstract] [Full Text] [Related]
7. Acute kidney injury defined according to the 'Risk,' 'Injury,' 'Failure,' 'Loss,' and 'End-stage' (RIFLE) criteria after repair for a ruptured abdominal aortic aneurysm.
van Beek SC; Legemate DA; Vahl A; Bouman CSC; Vogt L; Wisselink W; Balm R
J Vasc Surg; 2014 Nov; 60(5):1159-1167.e1. PubMed ID: 24998838
[TBL] [Abstract][Full Text] [Related]
8. Epidemiology of acute kidney injury in Canadian critical care units: a prospective cohort study.
Odutayo A; Adhikari NK; Barton J; Burns KE; Friedrich JO; Klein D; Lapinsky S; Litwin S; Meret A; Moineddin R; Richardson B; Richardson R; Zaltzman A; Hladunewich M; Wald R
Can J Anaesth; 2012 Oct; 59(10):934-42. PubMed ID: 22843289
[TBL] [Abstract][Full Text] [Related]
9. [Renal echography and cystatin C for prediction of acute kidney injury: very different in patients with cardiac failure or sepsis].
Zhi H; Zhang M; Cui X; Li Y
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2019 Oct; 31(10):1258-1263. PubMed ID: 31771725
[TBL] [Abstract][Full Text] [Related]
10. Describing pediatric acute kidney injury in children admitted from the emergency department.
Hanson HR; Babcock L; Byczkowski T; Goldstein SL
Pediatr Nephrol; 2018 Jul; 33(7):1243-1249. PubMed ID: 29549465
[TBL] [Abstract][Full Text] [Related]
11. Development of a Multicenter Ward-Based AKI Prediction Model.
Koyner JL; Adhikari R; Edelson DP; Churpek MM
Clin J Am Soc Nephrol; 2016 Nov; 11(11):1935-1943. PubMed ID: 27633727
[TBL] [Abstract][Full Text] [Related]
12. Machine Learning Model for Risk Prediction of Community-Acquired Acute Kidney Injury Hospitalization From Electronic Health Records: Development and Validation Study.
Hsu CN; Liu CL; Tain YL; Kuo CY; Lin YC
J Med Internet Res; 2020 Aug; 22(8):e16903. PubMed ID: 32749223
[TBL] [Abstract][Full Text] [Related]
13. Early serum creatinine accurately predicts acute kidney injury post cardiac surgery.
Grynberg K; Polkinghorne KR; Ford S; Stenning F; Lew TE; Barrett JA; Summers SA
BMC Nephrol; 2017 Mar; 18(1):93. PubMed ID: 28302078
[TBL] [Abstract][Full Text] [Related]
14. A real-time electronic alert to improve detection of acute kidney injury in a large teaching hospital.
Porter CJ; Juurlink I; Bisset LH; Bavakunji R; Mehta RL; Devonald MA
Nephrol Dial Transplant; 2014 Oct; 29(10):1888-93. PubMed ID: 24744280
[TBL] [Abstract][Full Text] [Related]
15. Derivation and validation of a prediction score for acute kidney injury in patients hospitalized with acute heart failure in a Chinese cohort.
Wang YN; Cheng H; Yue T; Chen YP
Nephrology (Carlton); 2013 Jul; 18(7):489-96. PubMed ID: 23607443
[TBL] [Abstract][Full Text] [Related]
16. Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury.
Churpek MM; Carey KA; Edelson DP; Singh T; Astor BC; Gilbert ER; Winslow C; Shah N; Afshar M; Koyner JL
JAMA Netw Open; 2020 Aug; 3(8):e2012892. PubMed ID: 32780123
[TBL] [Abstract][Full Text] [Related]
17. Acute and chronic kidney disease in elderly patients with hip fracture: prevalence, risk factors and outcome with development and validation of a risk prediction model for acute kidney injury.
Porter CJ; Moppett IK; Juurlink I; Nightingale J; Moran CG; Devonald MA
BMC Nephrol; 2017 Jan; 18(1):20. PubMed ID: 28088181
[TBL] [Abstract][Full Text] [Related]
18. Can admission serum cystatin C level be an early marker subclinical acute kidney injury in critical care patients?
Gaygısız Ü; Aydoğdu M; Badoğlu M; Boyacı N; Güllü Z; Gürsel G
Scand J Clin Lab Invest; 2016; 76(2):143-50. PubMed ID: 26767714
[TBL] [Abstract][Full Text] [Related]
19. A new clinical multivariable model that predicts postoperative acute kidney injury: impact of endogenous ouabain.
Simonini M; Lanzani C; Bignami E; Casamassima N; Frati E; Meroni R; Messaggio E; Alfieri O; Hamlyn J; Body SC; Collard CD; Zangrillo A; Manunta P;
Nephrol Dial Transplant; 2014 Sep; 29(9):1696-701. PubMed ID: 24920842
[TBL] [Abstract][Full Text] [Related]
20. Effect of weekend admission on mortality associated with severe acute kidney injury in England: A propensity score matched, population-based study.
Kolhe NV; Fluck RJ; Taal MW
PLoS One; 2017; 12(10):e0186048. PubMed ID: 29016687
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
