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PUBMED FOR HANDHELDS

Journal Abstract Search


488 related items for PubMed ID: 9069003

  • 1. 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
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  • 3. A comparison of severity of illness scoring systems for intensive care unit patients: results of a multicenter, multinational study. The European/North American Severity Study Group.
    Castella X, Artigas A, Bion J, Kari A.
    Crit Care Med; 1995 Aug; 23(8):1327-35. PubMed ID: 7634802
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  • 5. 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
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  • 6. Evaluation of the uniformity of fit of general outcome prediction models.
    Moreno R, Apolone G, Miranda DR.
    Intensive Care Med; 1998 Jan; 24(1):40-7. PubMed ID: 9503221
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  • 7. 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
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  • 9. Evaluation of an interdisciplinary data set for national intensive care unit assessment.
    Metnitz PG, Vesely H, Valentin A, Popow C, Hiesmayr M, Lenz K, Krenn CG, Steltzer H.
    Crit Care Med; 1999 Aug; 27(8):1486-91. PubMed ID: 10470754
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  • 10. Prediction of outcome from intensive care: a prospective cohort study comparing Acute Physiology and Chronic Health Evaluation II and III prognostic systems in a United Kingdom intensive care unit.
    Beck DH, Taylor BL, Millar B, Smith GB.
    Crit Care Med; 1997 Jan; 25(1):9-15. PubMed ID: 8989170
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  • 11. Impact of exclusion criteria on case mix, outcome, and length of stay for the severity of disease scoring methods in common use in critical care.
    Wunsch H, Brady AR, Rowan K.
    J Crit Care; 2004 Jun; 19(2):67-74. PubMed ID: 15236138
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  • 13. Comparison of Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiology Score II (SAPS II) scoring systems in a single Greek intensive care unit.
    Katsaragakis S, Papadimitropoulos K, Antonakis P, Strergiopoulos S, Konstadoulakis MM, Androulakis G.
    Crit Care Med; 2000 Feb; 28(2):426-32. PubMed ID: 10708178
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  • 14. 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
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  • 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
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  • 16. A comparison of APACHE II and SAPS II scoring systems in predicting hospital mortality in Thai adult intensive care units.
    Khwannimit B, Geater A.
    J Med Assoc Thai; 2007 Apr 05; 90(4):643-52. PubMed ID: 17487117
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  • 17. Verification of the Acute Physiology and Chronic Health Evaluation scoring system in a Hong Kong intensive care unit.
    Oh TE, Hutchinson R, Short S, Buckley T, Lin E, Leung D.
    Crit Care Med; 1993 May 05; 21(5):698-705. PubMed ID: 8482091
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  • 20. Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today's critically ill patients.
    Zimmerman JE, Kramer AA, McNair DS, Malila FM.
    Crit Care Med; 2006 May 05; 34(5):1297-310. PubMed ID: 16540951
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