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Journal Abstract Search


359 related items for PubMed ID: 19775043

  • 1. The performance of customised APACHE II and SAPS II in predicting mortality of mixed critically ill patients in a Thai medical intensive care unit.
    Khwannimit B, Bhurayanontachai R.
    Anaesth Intensive Care; 2009 Sep; 37(5):784-90. PubMed ID: 19775043
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  • 3. 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
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  • 4. 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; 90(4):643-52. PubMed ID: 17487117
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  • 6. 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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  • 7. Validation of the Sepsis Severity Score Compared with Updated Severity Scores in Predicting Hospital Mortality in Sepsis Patients.
    Khwannimit B, Bhurayanontachai R, Vattanavanit V.
    Shock; 2017 Jun; 47(6):720-725. PubMed ID: 27984522
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  • 8. 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; 79(3):257-63. PubMed ID: 23254165
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  • 9. 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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  • 10. The performance and customization of SAPS 3 admission score in a Thai medical intensive care unit.
    Khwannimit B, Bhurayanontachai R.
    Intensive Care Med; 2010 Feb 05; 36(2):342-6. PubMed ID: 19756506
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  • 13. Using patient admission characteristics alone to predict mortality of critically ill patients: A comparison of 3 prognostic scores.
    Ho KM, Williams TA, Harahsheh Y, Higgins TL.
    J Crit Care; 2016 Feb 05; 31(1):21-5. PubMed ID: 26621265
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  • 17. 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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  • 18. 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 05; 25(1):9-15. PubMed ID: 8989170
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  • 19. Feasibility of transitioning from APACHE II to SAPS III as prognostic model in a Brazilian general intensive care unit. A retrospective study.
    Serpa Neto A, Assunção MS, Pardini A, Silva E.
    Sao Paulo Med J; 2015 Jan 05; 133(3):199-205. PubMed ID: 25337664
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  • 20. [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 05; 38(3):276-82. PubMed ID: 16323627
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