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97 related items for PubMed ID: 23029705
21. Illness severity scoring for Intensive Care at Middlemore Hospital, New Zealand: past and future. Mann SL, Marshall MR, Holt A, Woodford B, Williams AB. N Z Med J; 2010 Jun 11; 123(1316):47-65. PubMed ID: 20648099 [Abstract] [Full Text] [Related]
22. Changes in health-related quality of life and factors predicting long-term outcomes in older adults admitted to intensive care units. Khouli H, Astua A, Dombrowski W, Ahmad F, Homel P, Shapiro J, Singh J, Nallamothu R, Mahbub H, Eden E, Delfiner J. Crit Care Med; 2011 Apr 11; 39(4):731-7. PubMed ID: 21263318 [Abstract] [Full Text] [Related]
23. Readmission to surgical intensive care increases severity-adjusted patient mortality. Alban RF, Nisim AA, Ho J, Nishi GK, Shabot MM. J Trauma; 2006 May 11; 60(5):1027-31. PubMed ID: 16688065 [Abstract] [Full Text] [Related]
24. Comparison of prognostic value of two kinds of severity scoring systems for hospital mortality prediction of elderly patients with acute kidney injury. Gong Y, Xu H, Xu Z, Zhang F, Hao C, Gu Y, Lin S, Ding F. Aging Clin Exp Res; 2012 Feb 11; 24(1):74-8. PubMed ID: 21464607 [Abstract] [Full Text] [Related]
25. Mortality and length-of-stay outcomes, 1993-2003, in the binational Australian and New Zealand intensive care adult patient database. Moran JL, Bristow P, Solomon PJ, George C, Hart GK, Australian and New Zealand Intensive Care Society Database Management Committee (ADMC). Crit Care Med; 2008 Jan 11; 36(1):46-61. PubMed ID: 18090383 [Abstract] [Full Text] [Related]
26. 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 11; 40(10):1042-7. PubMed ID: 10152703 [Abstract] [Full Text] [Related]
27. Comparison of risk-scoring methods in predicting the immediate outcome after elective open abdominal aortic aneurysm surgery. Tang TY, Walsh SR, Fanshawe TR, Seppi V, Sadat U, Hayes PD, Varty K, Gaunt ME, Boyle JR. Eur J Vasc Endovasc Surg; 2007 Nov 11; 34(5):505-13. PubMed ID: 17869138 [Abstract] [Full Text] [Related]
28. Do chronic liver disease scoring systems predict outcomes in trauma patients with liver disease? A comparison of MELD and CTP. Seamon MJ, Franco MJ, Stawicki SP, Smith BP, Kulp H, Goldberg AJ, Santora TA, Gaughan JP. J Trauma; 2010 Sep 11; 69(3):568-73. PubMed ID: 20838128 [Abstract] [Full Text] [Related]
29. Prognostic factors and utility of scoring systems in patients with hematological malignancies admitted to the intensive care unit and required a mechanical ventilator. Nishida K, Palalay MP. Hawaii Med J; 2008 Oct 11; 67(10):264-9. PubMed ID: 19097551 [Abstract] [Full Text] [Related]
30. Prospective evaluation of clinical scoring systems in infants and children with cardiopulmonary insufficiency after cardiac surgery. Zobel G, Rödl S, Rigler B, Metzler H, Dacar D, Grubbauer HM, Beitzke A. J Cardiovasc Surg (Torino); 1993 Aug 11; 34(4):333-7. PubMed ID: 8227115 [Abstract] [Full Text] [Related]
31. [Relationship between flash visual evoked potential and severity and prognosis in critically ill patients]. Zeng HK, Jiang WQ, Chen CB, Lü B, Ye H, Wang QS, Sun C, Lu DX. Zhongguo Wei Zhong Bing Ji Jiu Yi Xue; 2008 Nov 11; 20(11):667-70. PubMed ID: 19000423 [Abstract] [Full Text] [Related]
32. Intensive care after elective surgery: a survey on 30-day postoperative mortality and morbidity. Cavaliere F, Conti G, Costa R, Masieri S, Antonelli M, Proietti R. Minerva Anestesiol; 2008 Sep 11; 74(9):459-68. PubMed ID: 18762753 [Abstract] [Full Text] [Related]
33. [Cost analysis and outcome prediction with the Therapeutic Intervention Scoring System (TISS and TISS-28]. Graf J, Graf C, Koch KC, Hanrath P, Janssens U. Med Klin (Munich); 2003 Mar 15; 98(3):123-32. PubMed ID: 12647086 [Abstract] [Full Text] [Related]
34. [Analysis of outcome quality control in intensive care medicine using the Simplified Acute Physiology Score II]. Schuster HP, Wilts S, Ritschel P. Med Klin (Munich); 1996 Jun 15; 91(6):343-8. PubMed ID: 8767306 [Abstract] [Full Text] [Related]
35. Scoring systems for predicting outcomes of critically ill patients in northeastern Thailand. Wilairatana P, Noan NS, Chinprasatsak S, Prodeengam K, Kityaporn D, Looareesuwan S. Southeast Asian J Trop Med Public Health; 1995 Mar 15; 26(1):66-72. PubMed ID: 8525422 [Abstract] [Full Text] [Related]
36. Predictive value of E-PASS and POSSUM systems for postoperative risk assessment of spinal surgery. Hirose J, Taniwaki T, Fujimoto T, Okada T, Nakamura T, Okamoto N, Usuku K, Mizuta H. J Neurosurg Spine; 2014 Jan 15; 20(1):75-82. PubMed ID: 24206035 [Abstract] [Full Text] [Related]
37. The use of infection probability score and sequential organ failure assessment scoring systems in predicting mechanical ventilation requirement and duration. Honarmand A, Safavi M, Moradi D. Ulus Travma Acil Cerrahi Derg; 2009 Sep 15; 15(5):440-7. PubMed ID: 19779983 [Abstract] [Full Text] [Related]
38. Comparison of different scoring systems in patients undergoing colorectal cancer surgery for predicting mortality and morbidity. Cengiz F, Kamer E, Zengel B, Uyar B, Tavusbay C, Unalp HR. Indian J Cancer; 2014 Sep 15; 51(4):543-8. PubMed ID: 26842190 [Abstract] [Full Text] [Related]
39. Evaluation of the POSSUM, p-POSSUM, o-POSSUM, and APACHE II scoring systems in predicting postoperative mortality and morbidity in gastric cancer patients. Hong S, Wang S, Xu G, Liu J. Asian J Surg; 2017 Apr 15; 40(2):89-94. PubMed ID: 26420667 [Abstract] [Full Text] [Related]
40. An evaluation of POSSUM and P-POSSUM scoring in predicting post-operative mortality in a level 1 critical care setting. Scott S, Lund JN, Gold S, Elliott R, Vater M, Chakrabarty MP, Heinink TP, Williams JP. BMC Anesthesiol; 2014 Apr 15; 14():104. PubMed ID: 25469106 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]