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Published on: March 27, 2018
Intra- and postoperative predictors of stroke after coronary artery bypass grafting
Donald S Likosky1, Bruce J Leavitt, Charles A S Marrin
1Department of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire 03756, USA. donald.s.likosky@dartmouth.edu
Insights
Stroke after coronary artery bypass graft surgery is often preventable. Intra- and postoperative factors significantly improve stroke risk prediction, especially for low-risk patients, highlighting areas for care improvement.
Area of Science:
- Cardiovascular Surgery
- Neurology
- Medical Informatics
Background:
- Stroke is a serious complication following coronary artery bypass graft (CABG) surgery.
- Risk assessment traditionally relies on preoperative patient characteristics.
- Intraoperative and postoperative factors also significantly influence stroke risk.
Purpose of the Study:
- To develop an improved risk prediction model for stroke after CABG surgery.
- To identify key intra- and postoperative factors contributing to stroke risk.
- To adjust stroke risk prediction for preoperative patient characteristics.
Main Methods:
- A regional prospective study included 11,825 consecutive patients undergoing CABG surgery (1996-2001).
- Data collected included patient demographics, disease characteristics, intra- and postoperative care, and outcomes.
- Logistic regression analysis identified significant predictors of stroke, defined as new focal neurologic deficits lasting >24 hours.
Main Results:
- The overall incidence of stroke was 1.5%.
- Key predictors identified: longer cardiopulmonary bypass times (≥90 minutes), atrial fibrillation, and prolonged inotrope use.
- Nearly 75% of strokes occurred in patients with low or medium preoperative risk.
Conclusions:
- Incorporating intra- and postoperative factors significantly enhances stroke risk prediction models for CABG patients.
- A majority of strokes occur in lower-risk patients, suggesting potential preventability.
- Modifications in intra- and postoperative care may be crucial for reducing stroke incidence.
Background:
Stroke is a devastating complication of coronary artery bypass graft surgery. An individual's risk of stroke is based in part on preoperative characteristics but also on intra- and postoperative factors. We developed a risk prediction model for stroke based on factors in intra- and postoperative care, after adjusting for a patient's preoperative risk.
Methods:
We conducted a regional prospective study of 11,825 consecutive patients undergoing coronary artery bypass graft surgery surgery from 1996 to 2001. Data were collected on patient and disease characteristics, intra- and postoperative care and course, and outcomes. Stroke was defined as "a new focal neurologic deficit which appears and is still at least partially evident more than 24 hours after its onset." Logistic regression identified significant predictors of stroke.
Results:
The incidence of stroke was 1.5%. The regression model significantly predicted the occurrence of stroke. As compared with cardiopulmonary bypass for less than 90 minutes, cardiopulmonary bypass for 90 to 113 minutes, odds ratio = 1.59, p = 0.022), cardiopulmonary bypass for 114 minutes or more (odds ratio = 2.36, p < 0.001), atrial fibrillation (odds ratio = 1.82, p < 0.001), and prolonged inotrope use (odds ratio = 2.59, p = 0.001) significantly improved our ability to predict stroke. Nearly 75% of all strokes occurred among the 90% of patients at low or medium preoperative risk.
Conclusions:
The inclusion of factors associated with intra- and postoperative care and course significantly improved the prediction model. Most strokes occurred among patients at low or medium preoperative risk, suggesting that many of these strokes may be preventable. Reduction in stroke risk may require modifications in intra- and postoperative care and course.
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