• 四川大學華西醫(yī)院肛腸外科（四川成都 610041）;

引用本文： 陳珊珊,曹霖,汪曉東,李立. 急性簡化生理學評分Ⅲ的應用現(xiàn)狀. 中國呼吸與危重監(jiān)護雜志, 2009, 09(2): 202-206. doi: 復制

1. Reis Miranda D, Ryan DW, Schaufeli WB, et al. Organization and management of Intensive Care: a prospective study in 12 European countries. Berlin Heidelberg: Springer-Verlag, 1997, 29.
2. Moreno R, Miranda DR, Matos R, et al. Mortality after discharge from intensive care: the impact of organ system failure and nursing workload use at discharge. Intensive Care Med, 2001, 27: 999 -1004 .
3. Moreno R, Morais P. Outcome prediction in intensive care: results of a prospective, multicentre, Portuguese study. Intensive Care Med,1997, 23: 177-186.
4. Metnitz PG, Valentin A, Vesely H, et al. Prognostic performance and customization of the SAPS II: results of a multicenter Austrian study. Intensive Care Med, 1999, 25: 192-197.
5. Moreno RP, Metnitz PG, Almeida E, et al. SAPS 3--From evaluation of the patient to evaluation of the intensive care unit. Part 2 :Development of a prognostic model for hospital mortality at ICU admission. Intensive Care Med, 2005, 31: 1345 -1355 .
6. Rivera-Fernández R, Vázquez-Mata G, Bravo M, et al. The Apache III prognostic system: customized mortality predictions for Spanish ICU patients. Intensive Care Med, 1998, 24: 574-581.
7. Zimmerman JE, Wagner DP, Draper EA, et al. Evaluation of acute physiology and chronic health evaluation III predictions of hospital mortality in an independent database rate. Crit Care Med, 1998, 26:1317-1326.
8. Popovich MJ. If most intensive care units are graduating with honors, is it genuine quality or grade inflation? Crit Care Med,2002, 30: 2145-2146.
9. Metnitz PG, Moreno RP, Almeida E, et al. SAPS 3--From evaluation of the patient to evaluation of the intensive care unit. Part 1 :Objectives, methods and cohort description. Intensive Care Med,2005, 31: 1336-1344.
10. Le Gall JR, Lemeshow S, Saulnier F. A new Simplified Acute Physiology Score( SAPS II) based on a European/North American multicenter study. JAMA, 1993, 270: 2957-2963.
11. Lemeshow S, Teres D, Klar J, et al. Mortality Probability Models ( MPM II) based on an international cohort of intensive care unit patients. JAMA, 1993, 270: 2478-2486.
12. Knaus WA, Draper EA,Wagner DP, et al. APACHE II: a severity of disease classification system. Crit Care Med, 1985, 13: 818-829.
13. Knaus WA, Wagner DP, Draper EA, et al. The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. Chest, 1991, 100: 1619-1636.
14. Soares M, Salluh JI. Validation of the SAPS 3 admission prognostic model in patients with cancer in need of intensive care. Intensive Care Med, 2006, 32: 1839-1844.
15. Boyd O, Grounds M. Can standardized mortality ratio be used to compare quality of intensive care unit performance? Crit Care Med,1994, 22: 1706-1709.
16. Soares M, Fontes F, Dantas J, et al. Performance of six severity-ofillness scores in cancer patients requiring admission to the intensive care unit: A prospective observational study. Crit Care, 2004, 8 :R194-R203.
17. Sculier JP, Paesmans M, Markiewicz E, et al. Scoring systems in cancer patients admitted for an acute complication in a medical intensive care unit. Crit Care Med, 2000, 28: 2786-2792.
18. Berghmans T, Paesmans M, Sculier JP. 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? Support Care Cancer, 2004, 12: 234-239.
19. Zeitlinger BS, Zeitlinger M, Leitner I, et al. Clinical scoring system for the prediction of target site penetration of antimicrobials in patients with sepsis. Clin Pharmacokinet, 2007, 46: 75-83.
20. Capuzzo M, Moreno RP, Jordan B, et al. Predictors of early recovery of health status after intensive care. Intensive Care Med, 2006, 32 :1832-1838.
21. Moreno R, Matos R. Outcome prediction in intensive care. Solving the paradox. Intensive Care Med, 2001, 27: 962-964.
22. Vazquez G, Benito S, Rivera R, et al. Simplified Acute Physiology Score III: a project for a new multidimensional tool for evaluating intensive care unit performance rate. Crit Care, 2003, 7: 345-346.
23. Rothen HU, Stricker K, Einfalt J, et al. Variability in outcome and resource use in intensive care units. Intensive Care Med, 2007, 33 :1329-1336.
24. Amaravadi RK, Dimick JB, Pronovost PJ, et al. ICU nurse-to-patient ratio is associated with complications and resource use after esophagectomy. Intensive Care Med, 2000, 26 : 1857 -1862 .
25. Pronovost PJ, Angus DC, Dorman T, et al. Physician staffing patterns and clinical outcomes in critically ill patients: a systematic review.JAMA, 2002, 288: 2151-2162.
26. Adam AK, Soubani AO. Outcome and prognostic factors of lung cancer patients admitted to the medical intensive care unit. Eur Respir J, 2008, 31: 47-53.
27. Rivera-Fernández R, Sánchez-Cruz JJ, Abizanda-Campos R, et al.Quality of life before intensive care unit admission and its influence on resource utilisation and mortality rate. Crit Care Med, 2001, 29 :1701-1709.
28. SAPS III Outcomes Research Group. SAPS III Newsletter.
29. .
  1. 1. Reis Miranda D, Ryan DW, Schaufeli WB, et al. Organization and management of Intensive Care: a prospective study in 12 European countries. Berlin Heidelberg: Springer-Verlag, 1997, 29.
  2. 2. Moreno R, Miranda DR, Matos R, et al. Mortality after discharge from intensive care: the impact of organ system failure and nursing workload use at discharge. Intensive Care Med, 2001, 27: 999 -1004 .
  3. 3. Moreno R, Morais P. Outcome prediction in intensive care: results of a prospective, multicentre, Portuguese study. Intensive Care Med,1997, 23: 177-186.
  4. 4. Metnitz PG, Valentin A, Vesely H, et al. Prognostic performance and customization of the SAPS II: results of a multicenter Austrian study. Intensive Care Med, 1999, 25: 192-197.
  5. 5. Moreno RP, Metnitz PG, Almeida E, et al. SAPS 3--From evaluation of the patient to evaluation of the intensive care unit. Part 2 :Development of a prognostic model for hospital mortality at ICU admission. Intensive Care Med, 2005, 31: 1345 -1355 .
  6. 6. Rivera-Fernández R, Vázquez-Mata G, Bravo M, et al. The Apache III prognostic system: customized mortality predictions for Spanish ICU patients. Intensive Care Med, 1998, 24: 574-581.
  7. 7. Zimmerman JE, Wagner DP, Draper EA, et al. Evaluation of acute physiology and chronic health evaluation III predictions of hospital mortality in an independent database rate. Crit Care Med, 1998, 26:1317-1326.
  8. 8. Popovich MJ. If most intensive care units are graduating with honors, is it genuine quality or grade inflation? Crit Care Med,2002, 30: 2145-2146.
  9. 9. Metnitz PG, Moreno RP, Almeida E, et al. SAPS 3--From evaluation of the patient to evaluation of the intensive care unit. Part 1 :Objectives, methods and cohort description. Intensive Care Med,2005, 31: 1336-1344.
  10. 10. Le Gall JR, Lemeshow S, Saulnier F. A new Simplified Acute Physiology Score( SAPS II) based on a European/North American multicenter study. JAMA, 1993, 270: 2957-2963.
  11. 11. Lemeshow S, Teres D, Klar J, et al. Mortality Probability Models ( MPM II) based on an international cohort of intensive care unit patients. JAMA, 1993, 270: 2478-2486.
  12. 12. Knaus WA, Draper EA,Wagner DP, et al. APACHE II: a severity of disease classification system. Crit Care Med, 1985, 13: 818-829.
  13. 13. Knaus WA, Wagner DP, Draper EA, et al. The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. Chest, 1991, 100: 1619-1636.
  14. 14. Soares M, Salluh JI. Validation of the SAPS 3 admission prognostic model in patients with cancer in need of intensive care. Intensive Care Med, 2006, 32: 1839-1844.
  15. 15. Boyd O, Grounds M. Can standardized mortality ratio be used to compare quality of intensive care unit performance? Crit Care Med,1994, 22: 1706-1709.
  16. 16. Soares M, Fontes F, Dantas J, et al. Performance of six severity-ofillness scores in cancer patients requiring admission to the intensive care unit: A prospective observational study. Crit Care, 2004, 8 :R194-R203.
  17. 17. Sculier JP, Paesmans M, Markiewicz E, et al. Scoring systems in cancer patients admitted for an acute complication in a medical intensive care unit. Crit Care Med, 2000, 28: 2786-2792.
  18. 18. Berghmans T, Paesmans M, Sculier JP. 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? Support Care Cancer, 2004, 12: 234-239.
  19. 19. Zeitlinger BS, Zeitlinger M, Leitner I, et al. Clinical scoring system for the prediction of target site penetration of antimicrobials in patients with sepsis. Clin Pharmacokinet, 2007, 46: 75-83.
  20. 20. Capuzzo M, Moreno RP, Jordan B, et al. Predictors of early recovery of health status after intensive care. Intensive Care Med, 2006, 32 :1832-1838.
  21. 21. Moreno R, Matos R. Outcome prediction in intensive care. Solving the paradox. Intensive Care Med, 2001, 27: 962-964.
  22. 22. Vazquez G, Benito S, Rivera R, et al. Simplified Acute Physiology Score III: a project for a new multidimensional tool for evaluating intensive care unit performance rate. Crit Care, 2003, 7: 345-346.
  23. 23. Rothen HU, Stricker K, Einfalt J, et al. Variability in outcome and resource use in intensive care units. Intensive Care Med, 2007, 33 :1329-1336.
  24. 24. Amaravadi RK, Dimick JB, Pronovost PJ, et al. ICU nurse-to-patient ratio is associated with complications and resource use after esophagectomy. Intensive Care Med, 2000, 26 : 1857 -1862 .
  25. 25. Pronovost PJ, Angus DC, Dorman T, et al. Physician staffing patterns and clinical outcomes in critically ill patients: a systematic review.JAMA, 2002, 288: 2151-2162.
  26. 26. Adam AK, Soubani AO. Outcome and prognostic factors of lung cancer patients admitted to the medical intensive care unit. Eur Respir J, 2008, 31: 47-53.
  27. 27. Rivera-Fernández R, Sánchez-Cruz JJ, Abizanda-Campos R, et al.Quality of life before intensive care unit admission and its influence on resource utilisation and mortality rate. Crit Care Med, 2001, 29 :1701-1709.
  28. 28. SAPS III Outcomes Research Group. SAPS III Newsletter.
  29. 29. .

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