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Journal Abstract Search


275 related items for PubMed ID: 32565637

  • 1. Evaluation and Validation of Four Scoring Systems: the APACHE IV, SAPS III, MPM0 II, and ICMM in Critically Ill Cancer Patients.
    Siddiqui SS, Narkhede AM, Kulkarni AP, Prabu NR, Chaudhari HK, Sarode SV, Divatia JV.
    Indian J Crit Care Med; 2020 Apr; 24(4):263-269. PubMed ID: 32565637
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  • 2. Performance of APACHE IV in Medical Intensive Care Unit Patients: Comparisons with APACHE II, SAPS 3, and MPM0 III.
    Ko M, Shim M, Lee SM, Kim Y, Yoon S.
    Acute Crit Care; 2018 Nov; 33(4):216-221. PubMed ID: 31723888
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  • 5. 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 Nov; 10(6):e0131329. PubMed ID: 26110534
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  • 6. A comparison of Simplified Acute Physiology Score II, Acute Physiology and Chronic Health Evaluation II and Acute Physiology and Chronic Health Evaluation III scoring system in predicting mortality and length of stay at surgical intensive care unit.
    Gilani MT, Razavi M, Azad AM.
    Niger Med J; 2014 Mar; 55(2):144-7. PubMed ID: 24791049
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  • 7. 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(1):50-61. PubMed ID: 9428543
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  • 8. Performance of the third-generation models of severity scoring systems (APACHE IV, SAPS 3 and MPM-III) in acute kidney injury critically ill patients.
    Costa e Silva VT, de Castro I, Liaño F, Muriel A, Rodríguez-Palomares JR, Yu L.
    Nephrol Dial Transplant; 2011 Dec; 26(12):3894-901. PubMed ID: 21505093
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  • 9. Intensive care unit scoring systems outperform emergency department scoring systems for mortality prediction in critically ill patients: a prospective cohort study.
    Moseson EM, Zhuo H, Chu J, Stein JC, Matthay MA, Kangelaris KN, Liu KD, Calfee CS.
    J Intensive Care; 2014 Dec; 2():40. PubMed ID: 25960880
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  • 10. Comparison of three severity scores for critically ill cancer patients.
    Schellongowski P, Benesch M, Lang T, Traunmüller F, Zauner C, Laczika K, Locker GJ, Frass M, Staudinger T.
    Intensive Care Med; 2004 Mar; 30(3):430-6. PubMed ID: 14598029
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  • 11. [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; 38(3):276-82. PubMed ID: 16323627
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  • 12. Comparison of acute physiology and chronic health evaluation II (APACHE II) and acute physiology and chronic health evaluation IV (APACHE IV) severity of illness scoring systems, in a multidisciplinary ICU.
    Varghese YE, Kalaiselvan MS, Renuka MK, Arunkumar AS.
    J Anaesthesiol Clin Pharmacol; 2017 Aug; 33(2):248-253. PubMed ID: 28781454
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  • 13. Validation of the APACHE IV model and its comparison with the APACHE II, SAPS 3, and Korean SAPS 3 models for the prediction of hospital mortality in a Korean surgical intensive care unit.
    Lee H, Shon YJ, Kim H, Paik H, Park HP.
    Korean J Anesthesiol; 2014 Aug; 67(2):115-22. PubMed ID: 25237448
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  • 14. 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; 31(1):21-5. PubMed ID: 26621265
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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. 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 05; 25(7):1242-1249. PubMed ID: 32212014
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  • 18. Comparison of acute physiology and chronic health evaluation II and acute physiology and chronic health evaluation IV to predict intensive care unit mortality.
    Parajuli BD, Shrestha GS, Pradhan B, Amatya R.
    Indian J Crit Care Med; 2015 Feb 05; 19(2):87-91. PubMed ID: 25722550
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  • 20. 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 05; 37(5):784-90. PubMed ID: 19775043
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