Cardio-pulmonary-bypass time has important independent influence on mortality and morbidity

Eur J Cardiothorac Surg. 1997 Jun;11(6):1141-5. doi: 10.1016/s1010-7940(97)01217-7.

Abstract

Objective: To determine the influence of cardio-pulmonary-bypass-time on hospital mortality and ICU-morbidity in isolated CABG surgery.

Methods: Between 1985 and 1994 perioperative data of 8578 consecutive CABG operations were prospectively collected. Seven variables: gender, redo vs. primary operation, elective vs. urgent surgery, age in 4 categories, use of IMA, number of distal anastomoses (> 4 vs. < = 4), and cardio-pulmonary-bypass-time in four categories were entered in multivariate logistic regression analysis and odds ratios for respective cardio-pulmonary-bypass-time-categories with regard to mortality, length-of-stay in the ICU and 8 ICU-complications were calculated. Bypass-time up to 90 min was the reference category, the other categories were from 1.5 to 2.5 h, 2.5 to 3.5 h, and longer than 3.5 h.

Results: 8337 operations had complete data. Mortality and ICU-morbidity were low. The odds ratios for mortality were 2.3 (P = 0.0094), 7.4 (P < 0.0001) and 20.7 (P < 0.0001) for ascending bypass-time-categories. The odds ratios for prolonged ICU-stay were 1.8 (P = 0.0002), 3.3 (P < 0.0001) and 7.9 (P < 0.0001) for ascending bypass-time-categories. For postoperative complications the same pattern was found: consequently higher odds ratios for longer bypass-time-categories.

Conclusion: The highly significant correlation between cardio-pulmonary-bypass-time-category and the occurrence of undesirable postoperative events is demonstrated by the consequent rise in odds ratios. This independent influence of cardio-pulmonary-bypass-time on outcome reflects both problems encountered during revascularisation and time-related influence of cardio-pulmonary-bypass on the human body. When a predictive model was created, CPBT proved to be a good predictor of undesirable postoperative events.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Cardiopulmonary Bypass*
  • Coronary Artery Bypass / mortality*
  • Hospital Mortality*
  • Humans
  • Length of Stay
  • Logistic Models
  • Middle Aged
  • Odds Ratio
  • Prospective Studies
  • ROC Curve
  • Time Factors