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167 related items for PubMed ID: 19115655

  • 1. Comparison of intensive care outcome prediction models based on admission scores with those based on 24-hour data.
    Duke GJ, Piercy M, DiGiantomasso D, Green JV.
    Anaesth Intensive Care; 2008 Nov; 36(6):845-9. PubMed ID: 19115655
    [Abstract] [Full Text] [Related]

  • 2. Assessment of the performance of five intensive care scoring models within a large Scottish database.
    Livingston BM, MacKirdy FN, Howie JC, Jones R, Norrie JD.
    Crit Care Med; 2000 Jun; 28(6):1820-7. PubMed ID: 10890627
    [Abstract] [Full Text] [Related]

  • 3. Outcome prediction in intensive care: results of a prospective, multicentre, Portuguese study.
    Moreno R, Morais P.
    Intensive Care Med; 1997 Feb; 23(2):177-86. PubMed ID: 9069003
    [Abstract] [Full Text] [Related]

  • 4. Assessment of six mortality prediction models in patients admitted with severe sepsis and septic shock to the intensive care unit: a prospective cohort study.
    Arabi Y, Al Shirawi N, Memish Z, Venkatesh S, Al-Shimemeri A.
    Crit Care; 2003 Oct; 7(5):R116-22. PubMed ID: 12974979
    [Abstract] [Full Text] [Related]

  • 5. Comparison of the performance of SAPS II, SAPS 3, APACHE II, and their customized prognostic models in a surgical intensive care unit.
    Sakr Y, Krauss C, Amaral AC, Réa-Neto A, Specht M, Reinhart K, Marx G.
    Br J Anaesth; 2008 Dec; 101(6):798-803. PubMed ID: 18845649
    [Abstract] [Full Text] [Related]

  • 6. Comparison of acute physiology and chronic health evaluations II and III and simplified acute physiology score II: a prospective cohort study evaluating these methods to predict outcome in a German interdisciplinary intensive care unit.
    Markgraf R, Deutschinoff G, Pientka L, Scholten T.
    Crit Care Med; 2000 Jan; 28(1):26-33. PubMed ID: 10667495
    [Abstract] [Full Text] [Related]

  • 7. Evaluation of two outcome prediction models on an independent database.
    Moreno R, Miranda DR, Fidler V, Van Schilfgaarde R.
    Crit Care Med; 1998 Jan; 26(1):50-61. PubMed ID: 9428543
    [Abstract] [Full Text] [Related]

  • 8. Comparison of predictive accuracy among six prognosis prediction systems for patient mortality in intensive care units.
    Chao CL.
    J Formos Med Assoc; 2002 Jun; 101(6):406-15. PubMed ID: 12189646
    [Abstract] [Full Text] [Related]

  • 9. Assessment of performance of four mortality prediction systems in a Saudi Arabian intensive care unit.
    Arabi Y, Haddad S, Goraj R, Al-Shimemeri A, Al-Malik S.
    Crit Care; 2002 Apr; 6(2):166-74. PubMed ID: 11983044
    [Abstract] [Full Text] [Related]

  • 10. The acute physiology and chronic health evaluation III outcome prediction in patients admitted to the intensive care unit after pneumonectomy.
    Keegan MT, Harrison BA, Brown DR, Whalen FX, Cassivi SD, Afessa B.
    J Cardiothorac Vasc Anesth; 2007 Dec; 21(6):832-7. PubMed ID: 18068061
    [Abstract] [Full Text] [Related]

  • 11. Performance of three prognostic models in critically ill patients with cancer: a prospective study.
    Martos-Benítez FD, Larrondo-Muguercia H, León-Pérez D, Rivero-López JC, Orama-Requejo V, Martínez-Alfonso JL.
    Int J Clin Oncol; 2020 Jul; 25(7):1242-1249. PubMed ID: 32212014
    [Abstract] [Full Text] [Related]

  • 12. [Comparing the performance of three severity scoring systems for ICU patients: APACHE III, SAPS II, MPM II].
    Kim EK, Kwon YD, Hwang JH.
    J Prev Med Public Health; 2005 Aug; 38(3):276-82. PubMed ID: 16323627
    [Abstract] [Full Text] [Related]

  • 13. Validation of severity scoring systems SAPS II and APACHE II in a single-center population.
    Capuzzo M, Valpondi V, Sgarbi A, Bortolazzi S, Pavoni V, Gilli G, Candini G, Gritti G, Alvisi R.
    Intensive Care Med; 2000 Dec; 26(12):1779-85. PubMed ID: 11271085
    [Abstract] [Full Text] [Related]

  • 14. Evaluation of single intensive care unit performance by simplified acute physiology score II system.
    Desa K, Sustić A, Zupan Z, Krstulović B, Golubović V.
    Croat Med J; 2005 Dec; 46(6):964-9. PubMed ID: 16342351
    [Abstract] [Full Text] [Related]

  • 15. Performance of Simplified Acute Physiology Score 3 In Predicting Hospital Mortality In Emergency Intensive Care Unit.
    Ma QB, Fu YW, Feng L, Zhai QR, Liang Y, Wu M, Zheng YA.
    Chin Med J (Engl); 2017 Jul 05; 130(13):1544-1551. PubMed ID: 28639569
    [Abstract] [Full Text] [Related]

  • 16. Risk prediction of hospital mortality for adult patients admitted to Australian and New Zealand intensive care units: development and validation of the Australian and New Zealand Risk of Death model.
    Paul E, Bailey M, Pilcher D.
    J Crit Care; 2013 Dec 05; 28(6):935-41. PubMed ID: 24074958
    [Abstract] [Full Text] [Related]

  • 17. Simplified prognostic model for critically ill patients in resource limited settings in South Asia.
    Haniffa R, Mukaka M, Munasinghe SB, De Silva AP, Jayasinghe KSA, Beane A, de Keizer N, Dondorp AM.
    Crit Care; 2017 Oct 17; 21(1):250. PubMed ID: 29041985
    [Abstract] [Full Text] [Related]

  • 18. External validation of the SAPS II, APACHE II and APACHE III prognostic models in South England: a multicentre study.
    Beck DH, Smith GB, Pappachan JV, Millar B.
    Intensive Care Med; 2003 Feb 17; 29(2):249-56. PubMed ID: 12536271
    [Abstract] [Full Text] [Related]

  • 19. Mortality and length-of-stay outcomes, 1993-2003, in the binational Australian and New Zealand intensive care adult patient database.
    Moran JL, Bristow P, Solomon PJ, George C, Hart GK, Australian and New Zealand Intensive Care Society Database Management Committee (ADMC).
    Crit Care Med; 2008 Jan 17; 36(1):46-61. PubMed ID: 18090383
    [Abstract] [Full Text] [Related]

  • 20. Prediction of mortality by using the standard scoring systems in a medical intensive care unit in Thailand.
    Ratanarat R, Thanakittiwirun M, Vilaichone W, Thongyoo S, Permpikul C.
    J Med Assoc Thai; 2005 Jul 17; 88(7):949-55. PubMed ID: 16241025
    [Abstract] [Full Text] [Related]

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