Journal of Cardiothoracic and Vascular Anesthesia
Volume 22, Issue 5 , Pages 713-718 , October 2008

Acute Physiology and Chronic Health Evaluation (APACHE) III Outcome Prediction After Major Vascular Surgery

  • Mark T. Keegan, MB, MRCPI

      Affiliations

    • Department of Anesthesiology, Division of Critical Care, Mayo Clinic, Rochester, MN
    • Corresponding Author InformationAddress reprint requests to Mark T. Keegan, MB, MRCPI, Department of Anesthesiology, Charlton 1145, Mayo Clinic, 200 First Street SW, Rochester, MN 55905
    • ,
  • Francis X. Whalen, MD

      Affiliations

    • Department of Anesthesiology, Division of Critical Care, Mayo Clinic, Rochester, MN
    • ,
  • Daniel R. Brown, MD, PhD, FCCM

      Affiliations

    • Department of Anesthesiology, Division of Critical Care, Mayo Clinic, Rochester, MN
    • ,
  • Tuhin K. Roy, MD, PhD

      Affiliations

    • Department of Anesthesiology, Division of Critical Care, Mayo Clinic, Rochester, MN
    • ,
  • Bekele Afessa, MD

      Affiliations

    • Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN

References 

  1. Afessa B, Gajic O, Keegan MT. Severity of illness and organ failure assessment in adult intensive care units. Crit Care Clin. 2007;23:639–658
  2. Knaus WA, Draper EA, Wagner DP, et al. APACHE II: A severity of disease classification system. Crit Care Med. 1985;13:818–829
  3. 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
  4. Zimmerman JE, Kramer AA, McNair DS, et al. Acute Physiology and Chronic Health Evaluation (APACHE) IV: Hospital mortality assessment for today's critically ill patients. Crit Care Med. 2006;34:1297–1310
  5. Murphy-Filkins R, Teres D, Lemeshow S, et al. Effect of changing patient mix on the performance of an intensive care unit severity-of-illness model: How to distinguish a general from a specialty intensive care unit. Crit Care Med. 1996;24:1968–1973
  6. Afessa B, Tefferi A, Dunn WF, et al. Intensive care unit support and Acute Physiology and Chronic Health Evaluation III performance in hematopoietic stem cell transplant recipients. Crit Care Med. 2003;31:1715–1721
  7. Sadaghdar H, Chelluri L, Bowles SA, et al. Outcome of renal transplant recipients in the ICU. Chest. 1995;107:1402–1405
  8. Angus DC, Clermont G, Kramer DJ, et al. Short-term and long-term outcome prediction with the Acute Physiology and Chronic Health Evaluation II system after orthotopic liver transplantation. Crit Care Med. 2000;28:150–156
  9. Azoulay E, Moreau D, Alberti C, et al. Predictors of short-term mortality in critically ill patients with solid malignancies. Intensive Care Med. 2000;26:1817–1823
  10. Azoulay E, Recher C, Alberti C, et al. Changing use of intensive care for hematological patients: The example of multiple myeloma. Intensive Care Med. 1999;25:1395–1401
  11. Sawyer RG, Durbin CG, Rosenlof LK, et al. Comparison of APACHE II scoring in liver and kidney transplant recipients versus trauma and general surgical patients in a single intensive-care unit. Clin Transplant. 1995;9:401–405
  12. Afessa B, Keegan MT, Hubmayr RD, et al. Evaluating the performance of an institution using an intensive care unit benchmark. Mayo Clin Proc. 2005;80:174–180
  13. Altman DG, Machin D, Bryant TN, et al. Statistics With Confidence. London: Wiley-Blackwell; 2000;
  14. Choi B. Slopes of a receiver operating characteristic curve and likelihood ratios for a diagnostic test. Am J Epidemiol. 1998;148:1127–1132
  15. Lemeshow S, Hosmer DW. A review of goodness of fit statistics for use in the development of logistic regression models. Am J Epidemiol. 1982;115:92–106
  16. Le Gall JR. The use of severity scores in the intensive care unit. Intensive Care Med. 2005;31:1618–1623
  17. Hardman DT, Fisher CM, Patel MI, et al. Ruptured abdominal aortic aneurysms: Who should be offered surgery?. J Vasc Surg. 1996;23:123–129
  18. Eagle KA, Coley CM, Newell JB, et al. Combining clinical and thallium data optimizes preoperative assessment of cardiac risk before major vascular surgery. Ann Intern Med. 1989;110:859–866
  19. Samy AK, Murray G, MacBain G. Glasgow aneurysm score. Cardiovasc Surg. 1994;2:41–44
  20. Samy AK, Murray G, MacBain G. Prospective evaluation of the Glasgow Aneurysm Score. J R Coll Surg Edinb. 1996;41:105–107
  21. Steyerberg EW, Kievit J, de Mol Van Otterloo JC, et al. Perioperative mortality of elective abdominal aortic aneurysm surgery (A clinical prediction rule based on literature and individual patient data). Arch Intern Med. 1995;155:1998–2004
  22. Kertai MD, Steyerberg EW, Boersma E, et al. Validation of two risk models for perioperative mortality in patients undergoing elective abdominal aortic aneurysm surgery. Vasc Endovasc Surg. 2003;37:13–21
  23. Vanzetto G, Halimi S, Hammoud T, et al. Prediction of cardiovascular events in clinically selected high-risk NIDDM patients (Prognostic value of exercise stress test and thallium-201 single-photon emission computed tomography). Diabetes Care. 1999;22:19–26
  24. Nesi F, Leo E, Biancari F, et al. Preoperative risk stratification in patients undergoing elective infrarenal aortic aneurysm surgery: Evaluation of five risk scoring methods. Eur J Vasc Endovasc Surg. 2004;28:52–58
  25. Harris JR, Forbes TL, Steiner SH, et al. Risk-adjusted analysis of early mortality after ruptured abdominal aortic aneurysm repair. J Vasc Surg. 2005;42:387–391
  26. Hsiang YN, Turnbull RG, Nicholls SC, et al. Predicting death from ruptured abdominal aortic aneurysms. Am J Surg. 2001;181:30–35
  27. Noel AA, Gloviczki P, Cherry KJ, et al. Ruptured abdominal aortic aneurysms: The excessive mortality rate of conventional repair. J Vasc Surg. 2001;34:41–46
  28. Lazarides MK, Arvanitis DP, Drista H, et al. POSSUM and APACHE II scores do not predict the outcome of ruptured infrarenal aortic aneurysms. Ann Vasc Surg. 1997;11:155–158
  29. Maziak DE, Lindsay TF, Marshall JC, et al. The impact of multiple organ dysfunction on mortality following ruptured abdominal aortic aneurysm repair. Ann Vasc Surg. 1998;12:93–100
  30. Wolters U, Mannheim S, Wassmer G, et al. What is the value of available risk scores in predicting postoperative complications after aortoiliac surgery? (A prospective nonrandomized study). J Cardiovasc Surg. 2006;47:177–185
  31. Hadjianastassiou VG, Tekkis PP, Goldhill DR, et al. Quantification of mortality risk after abdominal aortic aneurysm repair. Br J Surg. 2005;92:1092–1098
  32. Pronovost PJ, Jenckes MW, Dorman T, et al. Organizational characteristics of intensive care units related to outcomes of abdominal aortic surgery. JAMA. 1999;281:1310–1317
  33. Kantonen I, Lepantalo M, Salenius JP, et al. Mortality in abdominal aortic aneurysm surgery—The effect of hospital volume, patient mix and surgeon's case load. Eur J Vasc Endovasc Surg. 1997;14:375–379
  34. Dimick JB, Pronovost PJ, Cowan JA, et al. The volume-outcome effect for abdominal aortic surgery: Differences in case-mix or complications?. Arch Surg. 2002;137:828–832
  35. Dimick JB, Stanley JC, Axelrod DA, et al. Variation in death rate after abdominal aortic aneurysmectomy in the United States: Impact of hospital volume, gender, and age. Ann Surg. 2002;235:579–585
  36. Cowan JA, Dimick JB, Henke PK, et al. Surgical treatment of intact thoracoabdominal aortic aneurysms in the United States: Hospital and surgeon volume-related outcomes. J Vasc Surg. 2003;37:1169–1174
  37. Glance LG, Osler TM, Dick A. Rating the quality of intensive care units: Is it a function of the intensive care unit scoring system?. Crit Care Med. 2002;30:1976–1982
  38. JCAHO. The Joint Commission announces the 2006 National Patients Safety Goals and Requirements. Jt Comm Perspect. 2005;25:1–10
  39. Rubenfeld GD, Angus DC, Pinsky MR, et al. Outcomes research in critical care: Results of the American Thoracic Society Critical Care Assembly Workshop on Outcomes Research (The Members of the Outcomes Research Workshop). Am J Resp Crit Care Med. 1999;160:358–367
  40. Teres D, Lemeshow S. Why severity models should be used with caution. Crit Care Clin. 1994;10:93–110
  41. Laukontaus SJ, Lepantalo M, Hynninen M, et al. Prediction of survival after 48-h of intensive care following open surgical repair of ruptured abdominal aortic aneurysm. Eur J Vasc Endovasc Surg. 2005;30:509–515
  42. Kniemeyer HW, Reber PU, Kessler T, et al. Risk assessment in patients with ruptured abdominal aortic aneurysms. Acta Chir Belg. 2002;102:176–182
  43. Berge KH, Maiers DR, Schreiner DP, et al. Resource utilization and outcome in gravely ill intensive care unit patients with predicted in-hospital mortality rates of 95% or higher by APACHE III scores: The relationship with physician and family expectations. Mayo Clin Proc. 2005;80:166–173
  44. Bertges DJ, Rhee RY, Muluk SC, et al. Is routine use of the intensive care unit after elective infrarenal abdominal aortic aneurysm repair necessary?. J Vasc Surg. 2000;32:634–642
  45. Ridley SA. Intermediate care, possibilities, requirements and solutions. Anaesthesia. 1998;53:654–664
  46. Wagner DP, Knaus WA, Draper EA. Identification of low-risk monitor admissions to medical-surgical ICUs. Chest. 1987;92:423–428
  47. Zimmerman JE, Wagner DP, Knaus WA, et al. The use of risk predictions to identify candidates for intermediate care units (Implications for intensive care utilization and cost). Chest. 1995;108:490–499
  48. Kramer AA, Zimmerman JE. Assessing the calibration of mortality benchmarks in critical care: The Hosmer-Lemeshow test revisited. Crit Care Med. 2007;35:2052–2056

PII: S1053-0770(08)00010-4

doi: 10.1053/j.jvca.2008.01.009

Journal of Cardiothoracic and Vascular Anesthesia
Volume 22, Issue 5 , Pages 713-718 , October 2008

Article Tools

* Image Usage & Resolution