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Predictors of prolonged ICU stay after on-pump versus off-pump coronary artery bypass grafting

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Abstract

Objective

To define predictors for prolonged ICU stay in order to improve patient outcome and reduce costs.

Patients and methods

Prospective data on 10,759 patients undergoing coronary artery bypass grafting with and without use of cardiopulmonary bypass (coronary artery bypass grafting, CABG; n =8,917; off-pump coronary artery bypass grafting, OPCAB; n =765; minimally invasive direct coronary artery bypass grafting, MIDCAB; n =1,077) between April 1996 and August 2001 were subjected to univariate and, consecutively, to multivariate logistic regression analysis. Prolonged ICU stay was defined as intensive care treatment for three postoperative days and longer.

Measurements and results

Mean duration of ICU stay was 3.8±6.9 days; overall prevalence of prolonged ICU stay was 37.1%. The hospital mortality was 3.5% (ICU ≥3 days: 5.9%; ICU <3 days: 2.0%). Out of 39 selected pre- and intraoperative patient- and treatment-related variables, by univariate analysis, 32 variables having a high association with prolonged ICU stay were identified. Using a stepwise logistic regression model, 20 variables were shown to be independent predictors for prolonged ICU stay. Both OPCAB and MIDCAB surgery were identified as having a significantly lower association with prolonged ICU stay.

Conclusion

As prolonged ICU stay is associated with poor patient outcome and increased costs it is of utmost importance to identify patients at a high risk for prolonged ICU stay. More frequent off-pump CABG may optimize patient outcome.

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References

  1. Ryan TA, Rady MY, Bashour A, Leventhal M, Lytle B, Starr NJ (1997) Predictors of outcome in cardiac surgical patients with prolonged intensive care stay. Chest 112:1035–1042

    Article  CAS  Google Scholar 

  2. Tuman KJ, McCarthy RJ, March RJ, Najafi H, Ivankovich AD (1992) Morbidity and duration of ICU stay after cardiac surgery. A model for preoperative risk assessment. Chest 102:36–44

    Article  CAS  Google Scholar 

  3. Rosenberg AL, Watts C (2000) Patients readmitted to ICUs. A systemic review of risk factors and outcomes. Chest 118:492–502

    Article  CAS  Google Scholar 

  4. Warner CD, Weintraub WS, Craver JM, Jones EL, Gott JP, Guyton RA (1997) Effect of cardiac surgery patient characteristics on patient outcomes from 1981 through 1995. Circulation 96:1575–1579

    Article  CAS  Google Scholar 

  5. Kalmár P, Irrgang E (2000) Cardiac surgery in Germany during 2000. A report by the German Society for Thoracic and Cardiovascular Surgery. Thorac Cardiovasc Surg 48:33–38

    Google Scholar 

  6. Petros AJ, Marshall JC, van Saene HKF (1995) Should morbidity replace mortality as an end-point for clinical trials in intensive care? Lancet 345:369–371

    Article  CAS  Google Scholar 

  7. Hammermeister M, Burchfield C, Johnson R, Grover FL (1990) Identification of patients at greatest risk for developing major complications after cardiac surgery. Circulation 82[Suppl]):380–389

  8. Gummert JF, Kluge M, Reissmann EM, Bung J, Mohr FW (1998) Einführung eines komplexen medizinischen Dokumentationssystems am Herzzentrum Leipzig. In: Krian A, Scheld HH (ed) Dokumentationsverfahren in der Herzchirurgie III. Steinkopff, Darmstadt, pp 99–103

  9. Rosner BA (1995) Fundamentals of biostatistics, 4th edn. Duxbury-Press, Belmont, Calif., USA

  10. Tu JV, Jaglal SB, Naylor CD, and the Steering Committee of the Provincial Adult Cardiac Care Network of Ontario (1995) Multicenter validation of a risk index for mortality, intensive care unit stay and overall hospital length of stay after cardiac surgery. Circulation 91:677–684

    Article  CAS  Google Scholar 

  11. Lynn GM, Stefanko K, Reed JF III, Gee W, Nicholas G (1992) Risk factors for stroke after coronary artery bypass. J Thorac Cardiovasc Surg 104:1518–1523

    Article  CAS  Google Scholar 

  12. Newman MF, Wolman R, Kanchuger M, Marschall K, Mora-Mangano C, Roach G, Smith LR, Aggarwal A, Nussmeier N, Herskowitz A, Mangano DT (1996) Multicenter preoperativestroke risk index for patients undergoing coronary artery bypass graft surgery. Circulation 94[Suppl 2]:74–80

  13. Horneffer PJ, Gardner TJ, Manolio TA, Hoff SJ, Rykiel MF, Pearson PA, Gott VL, Baumgartner WA, Borkon AM, Watkins L (1987) The effects of age on outcome after coronary bypass surgery. Circulation 76:6–12

    Article  Google Scholar 

  14. Avery II GJ, Ley SJ, Hill D, Hershon JJ, Dick SE (2001) Cardiac surgery in the octogenerian: evaluation of risk, cost, and outcome. Ann Thorac Surg 71:591–596

    Article  Google Scholar 

  15. Roach GW, Kanchuger M, Mora Mangano C, Newman M, Nussmeier N, Wolman R, Aggarwal A, Marschall K, Graham SH, Ley C (1996) Adverse cerebral outcomes after coronary bypass surgery. Multicenter study of perioperative ischemia research group and the ischemia research and education foundation investigators. N Engl J Med 335:1857–1863

    Article  CAS  Google Scholar 

  16. Stamou SC, Hill PC, Dangas G, Pfister AJ, Boyce SW, Dullum MK, Bafi AS, Corso PJ (2001) Stroke after coronary artery bypass: incidence, predictors, and clinical outcome. Stroke 32:1508–1513

    Article  CAS  Google Scholar 

  17. Morricone L, Ranucci M, Denti S, Cazzaniga A, Isgro G, Enrini R, Caviezel F (1999) Diabetes and complications after cardiac surgery: comparison with a non-diabetic population. Acta Diabetol 36:77–84

    Article  CAS  Google Scholar 

  18. Rorich MB, Furlan AJ (1990) Risk at cardiac surgery in patients with prior stroke. Neurology 40:835–837

    Article  Google Scholar 

  19. Shaw PJ, Bates D, Cartlidge NEF, French JM, Heaviside D, Julian DG, Shaw DA (1989) An analysis of factors predisposing to neurological injury in patients undergoing coronary bypass operations. Q J Med 72:633–646

    CAS  PubMed  Google Scholar 

  20. Hammon JW Jr, Stump DA, Kon ND, Cordell AR, Hudspeth AS, Oaks TE, Brooker RF, Rogers AT, Hilbawi R, Coker LH, Troost BT (1997) Risk factors and solutions for the development of neurobehavioral changes after coronary artery bypass grafting. Ann Thorac Surg 63:1613–1618

    Article  Google Scholar 

  21. Clark RE, Brillman J, Davis DA, Lovell MR, Price TR, Magovern GJ (1995) Microemboli during coronary artery bypass grafting. Genesis and effect on outcome. J Thorac CardiovascSurg 109:249–257

    Article  CAS  Google Scholar 

  22. Kurki TSO, Kataja M (1996) Preoperative prediction of postoperative morbidity in coronary artery bypass grafting. Ann Thorac Surg 61:1740–1745

    Article  CAS  Google Scholar 

  23. Higgins TL, Estafanous FG, Loop FD, Beck GJ, Blum JM, Paranadi L (1992) Stratification of morbidity and mortality outcome by preoperative risk factors in coroanry artery bypass patients. JAMA 267:2344–2348

    Article  CAS  Google Scholar 

  24. Anderson RJ, O' Brian M, MaWhinney S, Villa Nueva CB, Moritz TE, Sethi GK, Henderson WG, Hammermeister KE, Grover FL, Shroyer AL (1999) Renal failure predisposes patients to adverse outcome after coronary bypass surgery. Kidney Int 55:1057–1062

    Article  CAS  Google Scholar 

  25. Hannan EL, Kilburn H, O'Donnell J, Lukacik G, Shields EP (1990) Adult open heart surgery in New York State. An analysis of risk factors and hospital mortality rates. JAMA 264:2768–2774

    Article  CAS  Google Scholar 

  26. Murkin JM, Boyd WD, Ganapathy S, Adams SJ, Peterson RC (1999) Beating heart surgery: why expect less central nervous system morbidity? Ann Thorac Surg 68:1498–1501

    Article  CAS  Google Scholar 

  27. Kshettry VE, Flavin TF, Emery RW, Nicoloff DM (2000) Does multi-vessel off-pump coronary artery bypass (OPCABG) reduce postoperative morbidity? Ann Thorac Surg 69:1725–1730

    Article  CAS  Google Scholar 

  28. Mack MJ, Osborne JA, Shennib H (1998) Arterial graft patency in coronary artery bypass grafting: what do we really know? Ann Thorac Surg 66:1055–1059

    Article  CAS  Google Scholar 

  29. Bull DA, Neumayer LA, Stringham JC, Meldrum P, Affleck DG, Karwande SV (2001) Coronary artery bypass grafting with cardiopulmonary bypass versus off-pump cardiopulmonary bypass grafting: does eliminating the pump reduce morbidity and cost? Ann Thorac Surg 71:170–175

    Article  CAS  Google Scholar 

  30. Plomondon ME, Cleveland JC, Ludwig ST, Grunwald GK, Kiefe CI, Grover FL, Shroyer AL (2001) Off-pump coronary artery bypass is associated with improved risk-adjusted outcomes. Ann Thorac Surg 72:114–119

    Article  CAS  Google Scholar 

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Correspondence to Jan Bucerius.

Appendix

Appendix

The following table shows peroperative variables analyzed by univariate analysis (factors that had a statistically significant association with prolonged ICU-stay are printed in bold)

 

Patients with ICU−stay ≥3 days (n =3,988)

Patients with ICU−stay <3 days (n =6,771)

 

Preoperative variables

Prevalence % (n)

P−value

 Age

  Age <60 years

18.3% (730)

29.1% (1,973)

<0.0001

  Age ≥70 and <80 years

37.2% (1,483)

28.4% (1,926)

<0.0001

 Age ≥80 years

4.3% (171)

2.4% (161)

<0.0001

 History of syncope

8.4% (336)

7.3% (494)

0.033

 History of embolism

3.5% (138)

2.2% (148)

<0.0001

 History of cardiogenic shock

11.1% (442)

5.2% (353)

<0.0001

 Diabetes mellitus (glucose intolerance treated with diet, oral hypoglycemics or insulin)

41.2% (1,645)

33.1% (2,238)

<0.0001

 Arterial hypertension (patient taking antihypertensive medication preoperatively)

75.8% (3,021)

72.3% (4,898)

<0.0001

 History of renal disease (history of renal failure or pathological elevated serum creatinine treated medically without hemofiltration and/or dialysis)

6.4% (256)

2.3% (159)

<0.0001

 Dialysis dependent renal insufficiency

1.1% (42)

0.3% (19)

<0.0001

 Preoperative infection (infectious disease including endocarditis)

1.5% (59)

0.6% (42)

<0.0001

 History of cerebrovascular disease (including stroke, TIA, and PRIND)

4.7% (186)

2.6% (178)

<0.0001

 NYHA ≥3

81.8% (3,263)

76.4% (5,175)

<0.0001

 LVEF ≤30% (assessed by angiography or 2D echocardiography)

11.1% (441)

6.1% (413)

<0.0001

 History of peripheral vascular disease

26.2% (1,046)

17.2% (1,164)

<0.0001

 Atrial fibrillation (history of preoperative atrial fibrillation)

5.9% (235)

3.0% (202)

<0.0001

 Urgent operation

27.5% (1,097)

16.4% (1,100)

<0.0001

 Emergency surgery (emergent surgery due to complications during coronary angiography and/or PTCA)

1.1% (42)

0.6% (39)

0.008

 History of pulmonary disease (chronic pathologic pulmonary function test)

8.0% (320)

4.8% (325)

<0.0001

 Prior myocardial infarction

58.5% (2,331)

51.4% (3,479)

<0.0001

 CCS ≥3

37.8% (1,509)

35.9% (2,435)

0.05

 Sex (male)

76.2% (3,039)

77.5% (5,250)

0.117

 Hyperlipidemia

52.7% (2,100)

54.3% (3,679)

0.155

 Prior cardiac surgery

4.4% (174)

3.7% (252)

0.102

 Prior CABG

3.8% (150)

3.1% (213)

0.097

 Prior aortic valve surgery

0.2% (9)

0.4% (26)

0.219

 Prior mitral valve surgery

0.1% (6)

0.2% (16)

0.386

Intraoperative variables

 Duration of surgery ≥3 h

24.1% (961)

16.4% (1,113)

<0.0001

 Total CPB time ≥2 h

10.9% (435)

4.3% (293)

<0.0001

 Ischemic time ≥1 h

11.6% (462)

8.9% (607)

<0.0001

 Intraoperative hemofiltration

9.2% (367)

4.7% (321)

<0.0001

 Intraoperative hypothermia ≤32 °C

29.2% (1,166)

21.3% (1,439)

<0.0001

 Intraoperative RBC transfusion ≥1,000 ml

2.9% (115)

1.0% (67)

<0.0001

 Intraoperative low cardiac output

3.9% (154)

1.1% (75)

<0.0001

 Intraoperative IABP−support

4.2% (168)

1.2% (78)

<0.0001

 Intraoperative assist device (ECMO, Berlin heart)

1.4% (54)

0.4% (24)

<0.0001

 Intraoperative need for pacemaker stimulation

19.5% (776)

11.3% (766)

<0.0001

 Use of cardioplegia

76.3% (3,043)

69.6% (4,711)

<0.0001

 Beating heart surgery

10.4% (415)

21.1% (1,427)

<0.0001

  OPCAB

4.9% (194)

8.0% (544)

<0.0001

  MIDCAB

5.3% (210)

12.8% (867)

<0.0001

 Coronary bypass grafts ≥2

82.5% (3,290)

75.7% (5,127)

<0.0001

 Intraoperative blood loss ≥500 ml

0.7% (26)

0.4% (26)

0.061

CABG coronary artery bypass grafting, OPCAB off-pump coronary artery bypass grafting, MIDCAB minimally invasive direct coronary artery bypass grafting, RBC red blood cells, LVEF left ventricular ejection fraction, PTCA percutaneous transluminal coronary angioplasty, CPB cardiopulmonary bypass, IABP intra-aortic ballon pump, ECMO extracorporal membrane oxygenation

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Bucerius, J., Gummert, J.F., Walther, T. et al. Predictors of prolonged ICU stay after on-pump versus off-pump coronary artery bypass grafting. Intensive Care Med 30, 88–95 (2004). https://doi.org/10.1007/s00134-003-1950-5

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