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Journal Abstract Search

1007 related items for PubMed ID: 29041985

  • 1. 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
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  • 2. Performance evaluation of APACHE II score for an Indian patient with respiratory problems.
    Gupta R, Arora VK.
    Indian J Med Res; 2004 Jun 17; 119(6):273-82. PubMed ID: 15243165
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  • 4. 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 17; 25(7):1242-1249. PubMed ID: 32212014
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  • 6. Predicting Mortality in Low-Income Country ICUs: The Rwanda Mortality Probability Model (R-MPM).
    Riviello ED, Kiviri W, Fowler RA, Mueller A, Novack V, Banner-Goodspeed VM, Weinkauf JL, Talmor DS, Twagirumugabe T.
    PLoS One; 2016 Jul 17; 11(5):e0155858. PubMed ID: 27196252
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  • 8. Accuracy of a composite score using daily SAPS II and LOD scores for predicting hospital mortality in ICU patients hospitalized for more than 72 h.
    Timsit JF, Fosse JP, Troché G, De Lassence A, Alberti C, Garrouste-Orgeas M, Azoulay E, Chevret S, Moine P, Cohen Y.
    Intensive Care Med; 2001 Jun 17; 27(6):1012-21. PubMed ID: 11497133
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  • 9. The SAPS 3 score as a predictor of hospital mortality in a South African tertiary intensive care unit: A prospective cohort study.
    van der Merwe E, Kapp J, Pazi S, Aylward R, Van Niekerk M, Mrara B, Freercks R.
    PLoS One; 2020 Jun 17; 15(5):e0233317. PubMed ID: 32437390
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  • 12. 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 17; 34(5):1297-310. PubMed ID: 16540951
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  • 13. Performance of critical care prognostic scoring systems in low and middle-income countries: a systematic review.
    Haniffa R, Isaam I, De Silva AP, Dondorp AM, De Keizer NF.
    Crit Care; 2018 Jan 26; 22(1):18. PubMed ID: 29373996
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  • 15. Should the pre-sedation Glasgow Coma Scale value be used when calculating Acute Physiology and Chronic Health Evaluation scores for sedated patients? Scottish Intensive Care Society Audit Group.
    Livingston BM, Mackenzie SJ, MacKirdy FN, Howie JC.
    Crit Care Med; 2000 Feb 26; 28(2):389-94. PubMed ID: 10708172
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  • 17. 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 26; 36(5):431-437. PubMed ID: 27387349
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  • 18. Outcome prediction in intensive care: results of a prospective, multicentre, Portuguese study.
    Moreno R, Morais P.
    Intensive Care Med; 1997 Feb 26; 23(2):177-86. PubMed ID: 9069003
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  • 19. 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; 26(1):50-61. PubMed ID: 9428543
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  • 20. 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 26; 7(5):R116-22. PubMed ID: 12974979
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