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Pre-ICU Factors

  • Conference paper
Surviving Intensive Care

Part of the book series: Update in Intensive Care Medicine ((UICMSOFT,volume 39))

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Abstract

In the modern hospital, the intensive care unit (ICU) plays a small but very important part in the continuum of care. Although the majority of patients do not need ICU admission, a small but significant percentage (about 5 % in most series) will be admitted to the ICU as part of their overall care. Time spent in the ICU represents the investment of a significant portion of community resources in hospital care [1].

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References

  1. Reis Miranda D, Gyldmark M (1996) Evaluating and understanding of costs in the intensive care unit In: Ryan DW (ed) Gurrent Practice in Critical Illness Ghapman & Hall, London, pp 129–149

    Google Scholar 

  2. Waterer GW, Quasney MW, Cantor RM, Wunderink RG (2001) Septic shock and respiratory failure in community-acquired pneumonia have different TNF polymorphism associations Am J Respir Grit Care Med 1631599–604

    CAS  Google Scholar 

  3. Riddington DW, Venkatesh B, Boivin G, et al (1996) Intestinal permeability, gastric intramucosal pH and systemic endotoxaemia in patients undergoing cardiopulmonary bypass JAMA 2751007–1012

    Article  PubMed  CAS  Google Scholar 

  4. Westendorp RGJ, Langermans JAM, Huizinga TWJ, et al (1997) Genetic influence on cytokine production and fatal meningococcal disease Lancet 349170–173

    Article  PubMed  CAS  Google Scholar 

  5. Moreno R, Reis Miranda D, Fidler V, Van Schilfgaarde R (1998) Evaluation of two outcome prediction models on an independent database Grit Care Med 2650–61

    Article  CAS  Google Scholar 

  6. Moreno R, Apolone G, Reis Miranda D (1998) Evaluation of the uniformity of fit of general outcome prediction models Intensive Care Med 2440–47

    Article  PubMed  CAS  Google Scholar 

  7. Le Gall JR, Lemeshow S, Saulnier F (1993) A new simplified acute physiology score (SAPS II) based on a European / North American multicenter study JAMA 2702957–2963

    Article  PubMed  Google Scholar 

  8. Lemeshow S, Teres D, Klar J, Avrunin JS, Gehlbach SH, Rapoport J (1993) Mortality Probability Models (MPM II) based on an international cohort of intensive care unit patients JAMA 2702478–2486

    Article  PubMed  CAS  Google Scholar 

  9. Vacanti GJ, VanHouten RJ, Hill RG (1970) A statistical analysis of the relationship of physical status to postoperative mortality in 68,388 cases Anesth Analg 49564–566

    Article  PubMed  CAS  Google Scholar 

  10. Alberti G, Brun-Buisson G, Burchardi H, et al (2002) Epidemiology of sepsis and infection in IGU patients from an international multicentre cohort study Intensive Care Med 28525–526

    Article  Google Scholar 

  11. Rivera-Fernandez R, Sánchez-Gruz J, Abizanda-Gampos R, Vazquez-Mata G (2001) Quality of life before intensive care unit admission and its influence on resource utilization and mortality rate Grit Care Med 291701–1709

    Article  CAS  Google Scholar 

  12. Sherry KM (2000) Demographics: National Gonfidential Enquiry in Perioperative Deaths (NGEPOD) Glin Intensive Care 112–3

    Google Scholar 

  13. Grounds RM, Rhodes A, Bennett ED (2001) Reducing surgical mortality and complications In: Vincent J-L (ed) 2001 Yearbook of Intensive Care and Emergency Medicine. Springer, Heidelberg, pp 57–67

    Google Scholar 

  14. Older P, Smith R, Gourtney P, Hone R (1993) Preoperative evaluation of cardiac reserve and ischemia in elderly patients by cardiopulmonary exercise Chest 104701–704

    Article  PubMed  CAS  Google Scholar 

  15. Shoemaker WG, Appel PL, Kram HB, Waxmann K, Lee TS (1988) Prospective trial of supranormal values of survivors as therapeutic goals in high risk surgical patients Chest 941176–1186

    Article  PubMed  CAS  Google Scholar 

  16. Boyd O, Grounds RM, Bennet ED (1993) A randomized clinical trial of the effect of deliberate perioperative increase of oxygen delivery on mortality in high risk surgical patients JAMA 2702699–2707

    Article  PubMed  CAS  Google Scholar 

  17. Bone RG, McElwee NE, Eubanks DH, Gluck EH (1993) Analysis of indications for early discharge from the intensive care unit. Glinical efficacy assessment project: American Gollege of Physicians Chest 1041812–1817

    Article  PubMed  CAS  Google Scholar 

  18. Hourihan F, Bishop GF, Hillman KM, Daffurn K, Lee AJ (1995) The medical emergency team: a new strategy to identigy and intervene in high-risk patients Clin Intensive Care 6269–272

    Article  Google Scholar 

  19. Morgan RJ, Williams F, Wright MM (1997) An early warning scoring system for detecting developing critical illness Clin Intensive Care 8100 (abst)

    Google Scholar 

  20. Hickey G, Allen MJ (1998) A critical care liaison service Br J Anaesth 81:650P (abst)

    Google Scholar 

  21. Goldhill DR, Worthington L, Mulcahy A, et al. ( 1999) The patient-at-risk team: identifying and managing seriously ill ward patients Anaesthesia 54854–860

    Google Scholar 

  22. Stenhouse CW, Coates S, Tivey M, Allsop P, Parker T (2000) Prospective evaluation of a modified early warning score to aid earlier detection of patients developing critical illness on a surgical ward Br J Anaesth 84:663P (abst)

    Google Scholar 

  23. Cioffi J (2000) Recognition of patients who require emergency assistance: a descriptive study Heart Lung 29262–268

    Article  PubMed  CAS  Google Scholar 

  24. Hillman KM, Flabouris A, Parr M (2001) A hospital-wide system for managing the seriously ill: a model of applied health systems research In: Sibbald WJ, Bion JF (eds) Evaluating Critical Care. Using Health Services Research to Improve Quality Springer, Heidelberg, pp 140–154

    Google Scholar 

  25. Fine MJ, Albe TE, Yealy DM, et al (1997) A prediction rule to identify low-risk patients with community-acquired pneumonia N Engl J Med 336243–250

    Article  PubMed  CAS  Google Scholar 

  26. Goldhill DR, White SA, Sumner A ( 1999) Physiological values and procedures in the 24 h before IGU admission from the ward Anaesthesia 54529–534

    Article  PubMed  CAS  Google Scholar 

  27. Lemeshow S, Klar J, Teres D (1995) Outcome prediction for individual intensive care patients: useful, misused, or abused ? Intensive Care Med 21770–776

    Article  PubMed  CAS  Google Scholar 

  28. Knaus WA, Wagner DP, Draper EA, et al (1991) The APAGHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults Chest 1001619–1636

    Article  PubMed  CAS  Google Scholar 

  29. McQuillan P, Pilkington SN, Allan A, et al (1998) Gonfidential inquiry into quality of care before admission to intensive care Br Med J 3161853–1858

    Article  CAS  Google Scholar 

  30. Goldhill DR, Sumner A (1998) Outcome of intensive care patients in a group of British intensive care units Grit Care Med 261337–1345

    Article  CAS  Google Scholar 

  31. Reis Miranda D, Ryan DW, Schaufeli WB, Fidler V (1997) Organization and Management of Intensive Care: a Prospective Study in 12 European Countries Springer-Verlag, Berlin

    Google Scholar 

  32. Thijs LG (2001). Geographical differences in outcomes In: Sibbald WJ, Bion JF (eds) Evaluating Critical Care. Using Health Services Research to Improve Quality Springer, Heidelberg, pp 292–308

    Google Scholar 

  33. Metcalfe MA, Sloggett A, McPherson K (1997) Mortality among appropriately referred patients refused admission to intensive-care units Lancet 3507–11

    Article  PubMed  CAS  Google Scholar 

  34. Sprung GL, Geber D, Eidelman LA, et al (1999) Evaluation of triage decisions for intensive care admission Grit Care Med 271073–1079

    Article  CAS  Google Scholar 

  35. Stenhouse GW, Bion JF (2001) Outreach: a hospital-wide approach to critical illness In: Vincent J-L (ed) 2001 Yearbook of Intensive Care and Emergency Medicine Springer, Heidelberg, pp 661–675

    Google Scholar 

  36. Zimmerman JE, Wagner DP, Knaus WA, Williams JF, Kolakowski D, Draper EA (1995) The use of risk predictors to identify candidates for intermediate care units. Implications for intensive care unit utilization Chest 108490–499

    Article  PubMed  CAS  Google Scholar 

  37. Lundberg JS, Perl TM, Wiblin T, et al (1998) Septic shock: an analysis of outcomes for patients with onset on hospital wards versus intensive care units Grit Care Med 261020–1024

    Article  CAS  Google Scholar 

  38. Bion JF (2000) Susceptibility to critical illness: reserve, response and therapy Intensive Care Med 26S57–S63

    Article  PubMed  Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Moreno, R., Matos, R., Metnitz, P. (2003). Pre-ICU Factors. In: Angus, D.C., Carlet, J. (eds) Surviving Intensive Care. Update in Intensive Care Medicine, vol 39. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55733-0_9

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  • DOI: https://doi.org/10.1007/978-3-642-55733-0_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44149-6

  • Online ISBN: 978-3-642-55733-0

  • eBook Packages: Springer Book Archive

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