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Journal Abstract Search

213 related items for PubMed ID: 10501755

  • 21. A comparison of severity of illness scoring systems for critically ill obstetric patients.
    el-Solh AA, Grant BJ.
    Chest; 1996 Nov; 110(5):1299-304. PubMed ID: 8915238
    [Abstract] [Full Text] [Related]

  • 22. 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
    [Abstract] [Full Text] [Related]

  • 23. Severity scores in respiratory intensive care: APACHE II predicted mortality better than SAPS II.
    Del Bufalo C, Morelli A, Bassein L, Fasano L, Quarta CC, Pacilli AM, Gunella G.
    Respir Care; 1995 Oct; 40(10):1042-7. PubMed ID: 10152703
    [Abstract] [Full Text] [Related]

  • 24. 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; 29(2):249-56. PubMed ID: 12536271
    [Abstract] [Full Text] [Related]

  • 25. Prediction of outcome in intensive care unit trauma patients: a multicenter study of Acute Physiology and Chronic Health Evaluation (APACHE), Trauma and Injury Severity Score (TRISS), and a 24-hour intensive care unit (ICU) point system.
    Vassar MJ, Lewis FR, Chambers JA, Mullins RJ, O'Brien PE, Weigelt JA, Hoang MT, Holcroft JW.
    J Trauma; 1999 Aug; 47(2):324-9. PubMed ID: 10452468
    [Abstract] [Full Text] [Related]

  • 26. 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
    [Abstract] [Full Text] [Related]

  • 27. Performance of three prognostic models in patients with cancer in need of intensive care in a medical center in China.
    Xing X, Gao Y, Wang H, Huang C, Qu S, Zhang H, Wang H, Sun K.
    PLoS One; 2015 Apr; 10(6):e0131329. PubMed ID: 26110534
    [Abstract] [Full Text] [Related]

  • 28.
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  • 29. 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]

  • 30. 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]

  • 31. Validation of four prognostic scores in patients with cancer admitted to Brazilian intensive care units: results from a prospective multicenter study.
    Soares M, Silva UV, Teles JM, Silva E, Caruso P, Lobo SM, Dal Pizzol F, Azevedo LP, de Carvalho FB, Salluh JI.
    Intensive Care Med; 2010 Jul 17; 36(7):1188-95. PubMed ID: 20221751
    [Abstract] [Full Text] [Related]

  • 32. Effectiveness of the sequential organ failure assessment, acute physiology and chronic health evaluation II, and simplified acute physiology score II prognostic scoring systems in paraquat-poisoned patients in the intensive care unit.
    Lee JH, Hwang SY, Kim HR, Kim YW, Kang MJ, Cho KW, Lee DW, Kim YH.
    Hum Exp Toxicol; 2017 May 17; 36(5):431-437. PubMed ID: 27387349
    [Abstract] [Full Text] [Related]

  • 33. Acute Physiology and Chronic Health Evaluation II and Simplified Acute Physiology Score II in predicting hospital mortality of neurosurgical intensive care unit patients.
    Park SK, Chun HJ, Kim DW, Im TH, Hong HJ, Yi HJ.
    J Korean Med Sci; 2009 Jun 17; 24(3):420-6. PubMed ID: 19543503
    [Abstract] [Full Text] [Related]

  • 34. Evaluation of predictive ability of APACHE II system and hospital outcome in Canadian intensive care unit patients.
    Wong DT, Crofts SL, Gomez M, McGuire GP, Byrick RJ.
    Crit Care Med; 1995 Jul 17; 23(7):1177-83. PubMed ID: 7600824
    [Abstract] [Full Text] [Related]

  • 35. 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 17; 46(6):964-9. PubMed ID: 16342351
    [Abstract] [Full Text] [Related]

  • 36. 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 17; 28(2):426-32. PubMed ID: 10708178
    [Abstract] [Full Text] [Related]

  • 37. Is a specific oncological scoring system better at predicting the prognosis of cancer patients admitted for an acute medical complication in an intensive care unit than general gravity scores?
    Berghmans T, Paesmans M, Sculier JP.
    Support Care Cancer; 2004 Apr 17; 12(4):234-9. PubMed ID: 14740281
    [Abstract] [Full Text] [Related]

  • 38. Predicting patient outcome from acute renal failure comparing three general severity of illness scoring systems.
    Fiaccadori E, Maggiore U, Lombardi M, Leonardi S, Rotelli C, Borghetti A.
    Kidney Int; 2000 Jul 17; 58(1):283-92. PubMed ID: 10886573
    [Abstract] [Full Text] [Related]

  • 39. The outcome of acute renal failure in the intensive care unit according to RIFLE: model application, sensitivity, and predictability.
    Abosaif NY, Tolba YA, Heap M, Russell J, El Nahas AM.
    Am J Kidney Dis; 2005 Dec 17; 46(6):1038-48. PubMed ID: 16310569
    [Abstract] [Full Text] [Related]

  • 40. Predictive accuracy of severity scoring system: a prospective cohort study using APACHE III in a Korean intensive care unit.
    Ihnsook J, Myunghee K, Jungsoon K.
    Int J Nurs Stud; 2003 Mar 17; 40(3):219-26. PubMed ID: 12605944
    [Abstract] [Full Text] [Related]

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