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182 related items for PubMed ID: 18787438

  • 1. Outcome prediction in critical care: the Simplified Acute Physiology Score models.
    Capuzzo M, Moreno RP, Le Gall JR.
    Curr Opin Crit Care; 2008 Oct; 14(5):485-90. PubMed ID: 18787438
    [Abstract] [Full Text] [Related]

  • 2. Assessment of three different mortality prediction models in four well-defined critical care patient groups at two points in time: a prospective cohort study.
    Fischler L, Lelais F, Young J, Buchmann B, Pargger H, Kaufmann M.
    Eur J Anaesthesiol; 2007 Aug; 24(8):676-83. PubMed ID: 17437656
    [Abstract] [Full Text] [Related]

  • 3. A simplified acute physiology score in the prediction of acute organophosphate poisoning outcome in an intensive care unit.
    Shadnia S, Darabi D, Pajoumand A, Salimi A, Abdollahi M.
    Hum Exp Toxicol; 2007 Aug; 26(8):623-7. PubMed ID: 17884949
    [Abstract] [Full Text] [Related]

  • 4. An electronic Simplified Acute Physiology Score-based risk adjustment score for critical illness in an integrated healthcare system.
    Liu V, Turk BJ, Ragins AI, Kipnis P, Escobar GJ.
    Crit Care Med; 2013 Jan; 41(1):41-8. PubMed ID: 23222263
    [Abstract] [Full Text] [Related]

  • 5. Severity of illness and organ failure assessment in adult intensive care units.
    Afessa B, Gajic O, Keegan MT.
    Crit Care Clin; 2007 Jul; 23(3):639-58. PubMed ID: 17900487
    [Abstract] [Full Text] [Related]

  • 6. Recalibration of risk prediction models in a large multicenter cohort of admissions to adult, general critical care units in the United Kingdom.
    Harrison DA, Brady AR, Parry GJ, Carpenter JR, Rowan K.
    Crit Care Med; 2006 May; 34(5):1378-88. PubMed ID: 16557153
    [Abstract] [Full Text] [Related]

  • 7. Ethical, legal and organizational issues in the ICU: prediction of outcome.
    Moreno R, Afonso S.
    Curr Opin Crit Care; 2006 Dec; 12(6):619-23. PubMed ID: 17077698
    [Abstract] [Full Text] [Related]

  • 8. Reliability of intensive care unit admitting and comorbid diagnoses, race, elements of Acute Physiology and Chronic Health Evaluation II score, and predicted probability of mortality in an electronic intensive care unit database.
    Wenner JB, Norena M, Khan N, Palepu A, Ayas NT, Wong H, Dodek PM.
    J Crit Care; 2009 Sep; 24(3):401-7. PubMed ID: 19577415
    [Abstract] [Full Text] [Related]

  • 9. Methodological approach for the evaluation of the performances of medical intensive care units.
    Hubert H, Guinhouya C, Castra L, Soubrier S, Vilhelm C, Ravaux P, Lemdani M, Durocher A, Saulnier F.
    J Crit Care; 2007 Sep; 22(3):184-90. PubMed ID: 17869967
    [Abstract] [Full Text] [Related]

  • 10. Quantifying risk and benchmarking performance in the adult intensive care unit.
    Higgins TL.
    J Intensive Care Med; 2007 Sep; 22(3):141-56. PubMed ID: 17562738
    [Abstract] [Full Text] [Related]

  • 11. Outcome prediction in intensive care: why we need to reinvent the wheel.
    Moreno RP.
    Curr Opin Crit Care; 2008 Oct; 14(5):483-4. PubMed ID: 18787437
    [No Abstract] [Full Text] [Related]

  • 12. Outcome prediction in critical care: the Acute Physiology and Chronic Health Evaluation models.
    Zimmerman JE, Kramer AA.
    Curr Opin Crit Care; 2008 Oct; 14(5):491-7. PubMed ID: 18787439
    [Abstract] [Full Text] [Related]

  • 13. Prognosis and 1-year mortality of intensive care unit patients with severe hepatic encephalopathy.
    Fichet J, Mercier E, Genée O, Garot D, Legras A, Dequin PF, Perrotin D.
    J Crit Care; 2009 Sep; 24(3):364-70. PubMed ID: 19327960
    [Abstract] [Full Text] [Related]

  • 14. External validation of prognostic models for critically ill patients required substantial sample sizes.
    Peek N, Arts DG, Bosman RJ, van der Voort PH, de Keizer NF.
    J Clin Epidemiol; 2007 May; 60(5):491-501. PubMed ID: 17419960
    [Abstract] [Full Text] [Related]

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  • 16. Sepsis and organ system failure are major determinants of post-intensive care unit mortality.
    Sakr Y, Vincent JL, Ruokonen E, Pizzamiglio M, Installe E, Reinhart K, Moreno R, Sepsis Occurrence in Acutely Ill Patients Investigators.
    J Crit Care; 2008 Dec; 23(4):475-83. PubMed ID: 19056010
    [Abstract] [Full Text] [Related]

  • 17. Subgroup mortality probability models: are they necessary for specialized intensive care units?
    Nathanson BH, Higgins TL, Kramer AA, Copes WS, Stark M, Teres D.
    Crit Care Med; 2009 Aug; 37(8):2375-86. PubMed ID: 19531946
    [Abstract] [Full Text] [Related]

  • 18. A comparison of SAPS II and SAPS 3 in a Norwegian intensive care unit population.
    Strand K, Søreide E, Aardal S, Flaatten H.
    Acta Anaesthesiol Scand; 2009 May; 53(5):595-600. PubMed ID: 19419352
    [Abstract] [Full Text] [Related]

  • 19. Databases for assessing the outcomes of the treatment of patients with congenital and paediatric cardiac disease--the perspective of critical care.
    LaRovere JM, Jeffries HE, Sachdeva RC, Rice TB, Wetzel RC, Cooper DS, Bird GL, Ghanayem NS, Checchia PA, Chang AC, Wessel DL.
    Cardiol Young; 2008 Dec; 18 Suppl 2():130-6. PubMed ID: 19063783
    [Abstract] [Full Text] [Related]

  • 20. Monocytic HLA-DR expression in intensive care patients: interest for prognosis and secondary infection prediction.
    Lukaszewicz AC, Grienay M, Resche-Rigon M, Pirracchio R, Faivre V, Boval B, Payen D.
    Crit Care Med; 2009 Oct; 37(10):2746-52. PubMed ID: 19707128
    [Abstract] [Full Text] [Related]

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