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PUBMED FOR HANDHELDS

Journal Abstract Search


178 related items for PubMed ID: 26337793

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  • 2. Assessment of severity scoring systems for predicting mortality in critically ill patients receiving continuous renal replacement therapy.
    Park H, Yang J, Chun BC.
    PLoS One; 2023; 18(5):e0286246. PubMed ID: 37228073
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  • 3. Performance of six prognostic scores in critically ILL patients receiving renal replacement therapy.
    Maccariello ER, Valente C, Nogueira L, Ismael M, Valença RV, Machado JE, Rocha E, Soares M.
    Rev Bras Ter Intensiva; 2008 Jun; 20(2):115-23. PubMed ID: 25306997
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  • 5. Mortality prediction in patients with acute kidney injury requiring renal replacement therapy after cardiac surgery.
    Skarupskienė I, Adukauskienė D, Kuzminskienė J, Rimkutė L, Balčiuvienė V, Žiginskienė E, Kuzminskis V, Adukauskaitė A, Pentiokinienė D, Bumblytė IA.
    Medicina (Kaunas); 2017 Jun; 53(4):217-223. PubMed ID: 28743566
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  • 9. 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 08; 7(3):e013511. PubMed ID: 28274964
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  • 10. 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 08; 56(4):623-31. PubMed ID: 20630639
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  • 14. Combination of Mean Platelet Volume/Platelet Count Ratio and the APACHE II Score Better Predicts the Short-Term Outcome in Patients with Acute Kidney Injury Receiving Continuous Renal Replacement Therapy.
    Li J, Li Y, Sheng X, Wang F, Cheng D, Jian G, Li Y, Feng L, Wang N.
    Kidney Blood Press Res; 2018 Oct 08; 43(2):479-489. PubMed ID: 29627837
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  • 15. End-stage renal failure patients requiring renal replacement therapy in the intensive care unit: incidence, clinical features, and outcome.
    Uchino S, Morimatsu H, Bellomo R, Silvester W, Cole L.
    Blood Purif; 2003 Oct 08; 21(2):170-5. PubMed ID: 12601260
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  • 17. [Application of support vector machine in predicting in-hospital mortality risk of patients with acute kidney injury in ICU].
    Lin K, Xie JQ, Hu YH, Kong GL.
    Beijing Da Xue Xue Bao Yi Xue Ban; 2018 Apr 18; 50(2):239-244. PubMed ID: 29643521
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  • 20. Validation of predisposition, infection, response and organ dysfunction score compared with standard severity scores in predicting hospital outcome in septic shock patients.
    Khwannimit B, Bhurayanontachai R.
    Minerva Anestesiol; 2013 Mar 18; 79(3):257-63. PubMed ID: 23254165
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