Related Experiment Video
Updated: Aug 19, 2026

Surgical Swine Model of Chronic Cardiac Ischemia Treated by Off-Pump Coronary Artery Bypass Graft Surgery
Published on: March 27, 2018
Waiting time and mortality after elective coronary artery bypass grafting
Helena Rexius1, Gunnar Brandrup-Wognsen, Anders Odén
1Department of Cardiothoracic Surgery, Sahlgrenska University Hospital, Gothenburg, Sweden.
Insights
Waiting times for coronary artery bypass grafting (CABG) do not impact patient outcomes after surgery. While longer waits were associated with higher initial mortality, this effect disappeared after adjusting for patient factors.
Area of Science:
- Cardiovascular Surgery
- Health Services Research
Background:
- Coronary artery bypass grafting (CABG) resource limitations lead to waiting lists and mortality.
- Waiting time predicts mortality on the list, but post-CABG outcomes remain unclear.
Purpose of the Study:
- To determine if waiting time for CABG influences postoperative mortality.
- To analyze the impact of exceeding planned waiting times on patient outcomes.
Main Methods:
- 5453 CABG patients were categorized into imperative, urgent, and routine groups based on waiting time.
- Postoperative mortality was compared between those operated within and after planned waiting intervals.
- Multivariate Poisson regression analyzed the effect of waiting time on postoperative mortality.
Main Results:
- Median waiting time was 55 days; 55% had surgery within the planned interval.
- Higher postoperative mortality was observed in patients operated on after the intended time (8.0% vs 6.2%).
- After adjustment, waiting time was not an independent predictor of postoperative death (RR 0.98 per month).
Conclusions:
- Prolonged waiting times for CABG do not appear to influence mortality after the procedure.
- Specific patient subgroups may still benefit from reduced waiting times.
Background:
Limited resources for coronary artery bypass grafting (CABG) results in waiting times, prioritization between patients, and to mortality among the patients on the waiting list. Waiting time is an independent predictor for mortality on the waiting list, but it is not clear if the waiting time also influences outcome after CABG.
Methods:
The study population was 5453 consecutive CABG patients who were prioritized at acceptance into three groups: imperative (CABG intended within 2 weeks), urgent (within 12 weeks), and routine (within 6 months). Postoperative mortality was compared between patients operated on within or after the intended waiting time in their respective groups. A multivariate Poisson regression model was used to further determine the effect of waiting time on postoperative mortality. Mean follow up was 24 +/- 15 months.
Results:
Median waiting time was 55 days. Fifty-five percent of the patients were operated on within the intended waiting time. Postoperative mortality during follow-up was higher in patients operated on after the intended time (8.0 vs 6.2%, p = 0.014), but after correction for age, gender, operative risk, and angina symptoms, waiting time was not an independent predictor for postoperative death (risk ratio, 0.98 per waiting month; 95% confidence interval, 0.97 to 1.00; p = 0.44).
Conclusions:
The results suggest that mortality after CABG is not influenced by prolonged waiting time. The result does not exclude subgroups of patients that might benefit from a shorter waiting time.
More Related Videos
05:41Left Anterior Descending Coronary Artery Ligation for Ischemia-Reperfusion Research: Model Improvement via Technical Modifications and Quality Control
Published on: December 16, 2022
05:25Surgical Porcine Model of Chronic Myocardial Ischemia Treated by Exosome-laden Collagen Patch and Off-pump Coronary Artery Bypass Graft
Published on: September 15, 2023
Related Concept Videos
Peripheral Artery Disease V: Postoperative Nursing Management
Cardiomyopathy VII: Pre and Post Operative Nursing Management
Aneurysm IV: Nursing Management
Acute Coronary Syndrome IV: Interprofessional Care
Cardiac Catheterization IV: Nursing Management