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Validation of the E-CABG Bleeding Severity Classification in Open Peripheral Arterial Surgery
T A H Steunenberg1, J P Hakbijl2, L C Roosendaal3
1Department of Vascular Surgery, Amsterdam University Medical Center, Amsterdam, The Netherlands; Department of Vascular Surgery, Dijklander Hospital, Hoorn, The Netherlands; Amsterdam Cardiovascular Sciences, Atherosclerosis & Aortic Disease, Amsterdam, The Netherlands.
Insights
The European Multicenter Study on Coronary Artery Bypass Grafting (E-CABG) bleeding classification effectively assesses perioperative bleeding severity in open peripheral arterial surgery (OPAS). This classification predicts adverse outcomes, aiding research and patient safety.
Area of Science:
- Vascular Surgery
- Surgical Outcomes Research
- Patient Safety
Background:
- Accurate documentation of perioperative bleeding is vital for vascular procedures.
- The European Multicenter Study on Coronary Artery Bypass Grafting (E-CABG) bleeding classification requires validation for open peripheral arterial surgery (OPAS).
Purpose of the Study:
- To validate the E-CABG bleeding classification system in patients undergoing OPAS.
- To assess the predictive capability of the E-CABG classification for adverse patient outcomes.
Main Methods:
- Prospective, multicenter cohort study of adult patients undergoing elective OPAS (excluding abdominal aortic surgery).
- Complications were categorized using the E-CABG grading system.
- Logistic regression analysis evaluated the prediction of Grade I or higher bleeding for patient outcomes, adjusted for OPAS type.
Main Results:
- 12% of 778 patients experienced bleeding complications (Grade I or II).
- Patients with Grade ≥ I bleeding had significantly higher rates of thrombo-embolic complications, myocardial infarction, graft thrombosis, wound infection, pneumonia, reoperation, and mortality.
- The E-CABG Grade ≥ I classification predicted 30-day mortality (AUC 0.81), reoperation (AUC 0.75), wound infection (AUC 0.76), and thrombo-embolic complications (AUC 0.67).
Conclusions:
- The E-CABG bleeding classification is applicable for stratifying bleeding severity in OPAS.
- The classification effectively predicts adverse short-term postoperative outcomes, supporting its use in research and registries.
Background:
Documentation of perioperative bleeding during vascular procedures is crucial for monitoring efficacy, safety, and to evaluate patient outcomes. This study validated the European Multicenter Study on Coronary Artery Bypass Grafting (E-CABG) bleeding classification for evaluating perioperative bleeding in patients undergoing open peripheral arterial surgery (OPAS).
Methods:
Prospective, multicenter cohort study including adult patients undergoing elective OPAS. Patients undergoing abdominal aortic surgery were excluded to maintain a homogeneous bleeding risk profile. Primary outcome was the incidence of complications categorized per E-CABG grade. Logistic regression was used to evaluate the predictive ability of Grade I or higher on patient outcomes. The model was adjusted for type of OPAS to minimize heterogeneity.
Results:
A total of 778 patients were included. Ninety-four patients (12%) suffered a bleeding complication (Grade I: n = 47, 6.0%; Grade II: n = 47, 6.0%). Patients suffering Grade ≥ I had significantly more thrombo-embolic complications (TECs) (P < 0.001), myocardial infarction (P = 0.006), bowel ischemia (P < 0.001), graft thrombosis (P = 0.019), graft infection (P = 0.026), wound infection (P < 0.001), pneumonia (P = 0.024), prolonged duration of hospital admission (P < 0.001), higher reoperation (P < 0.001), and mortality (P < 0.001) than patients without a bleeding complication. In a multivariate model, Grade ≥ I predicted 30-day mortality (area under the curve (AUC) 0.81, 95% confidence interval [CI] 0.63-0.96), reoperation other than bleeding (AUC 0.75, 95% CI 0.66-0.85), wound infection (AUC 0.76, 95% CI 0.72-0.80), and TEC (AUC 0.67, 95% CI 0.58-0.76).
Conclusion:
The E-CABG bleeding classification is applicable for stratifying the severity of perioperative bleeding in OPAS and predicting adverse short-term postoperative outcomes for research and registry databases.
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