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Surgical Porcine Model of Chronic Myocardial Ischemia Treated by Exosome-laden Collagen Patch and Off-pump Coronary Artery Bypass Graft
Published on: September 15, 2023
Decision support in surgical management of ischemic cardiomyopathy
Dustin Y Yoon1, Nicholas G Smedira, Edward R Nowicki
1Department of Thoracic and Cardiovascular Surgery, Heart and Vascular Institute, Cleveland Clinic, Cleveland, Ohio 44198, USA.
Insights
Developing prediction models helps surgeons choose the best treatment for ischemic cardiomyopathy. Coronary artery bypass grafting alone or cardiac transplantation often offers the best survival outcomes.
Area of Science:
- Cardiovascular Surgery
- Heart Failure Management
- Medical Decision Support
Background:
- Ischemic cardiomyopathy presents complex surgical decisions due to factors like mitral regurgitation and ventricular remodeling.
- Optimizing survival in these patients remains a significant clinical challenge.
Purpose of the Study:
- To develop and validate prediction models for comparing survival outcomes.
- To aid in surgical decision-making for ischemic cardiomyopathy patients.
Main Methods:
- 1468 patients with ischemic cardiomyopathy (ejection fraction <30%) were analyzed from 1997-2007.
- Patients underwent coronary artery bypass grafting (CABG) alone, CABG + mitral valve anuloplasty, CABG + surgical ventricular restoration, or were listed for cardiac transplantation.
- Risk factors for mortality were identified using training and validation sets to create decision-support models.
Main Results:
- Coronary artery bypass grafting (CABG) alone and cardiac transplantation generally maximized predicted 5-year survival.
- Coronary artery bypass grafting plus mitral valve anuloplasty showed lower predicted survival rates for most patients.
- Risk factors for mortality included older age, higher NYHA class, lower ejection fraction, and comorbidities.
Conclusions:
- Validated prediction models can assist surgeons in personalizing treatment strategies.
- These models aim to maximize both short- and long-term survival for patients with ischemic cardiomyopathy.
Objectives:
The surgical approach to ischemic cardiomyopathy maximizing survival remains a dilemma, with decisions complicated by secondary mitral regurgitation, ventricular remodeling, and heart failure. As a component of decision support, we sought to develop prediction models for comparing survival after coronary artery bypass grafting alone, coronary artery bypass grafting plus mitral valve anuloplasty, coronary artery bypass grafting plus surgical ventricular restoration, and listing for cardiac transplantation.
Methods:
From 1997 to 2007, 1468 patients with ischemic cardiomyopathy (ejection fraction <30%) underwent coronary artery bypass grafting alone (n = 386), coronary artery bypass grafting plus mitral valve anuloplasty (n = 212), coronary artery bypass grafting plus surgical ventricular restoration (n = 360), or listing for cardiac transplantation (n = 510). Mean follow-up was 3.8 +/- 2.8 years, with 5577 patient-years of data available for analysis. Risk factors were identified for early and late mortality by using 80% training and 20% validation sets. Outcomes were calculated for each applicable strategy to identify which maximized predicted 5-year survival. Models were programmed as a strategic decision-support tool.
Results:
One-, 5-, and 9-year survival were as follows, respectively: coronary artery bypass grafting, 92%, 72%, and 53%; coronary artery bypass grafting plus mitral valve anuloplasty, 88%, 57%, and 34%; coronary artery bypass grafting plus surgical ventricular restoration, 94%, 76%, and 55%; and listing for cardiac transplantation, 79%, 66%, and 54%. Risk factors included older age, higher New York Heart Association class, lower ejection fraction, longer interval from myocardial infarction to operation, and numerous comorbidities. Predicted and observed survivals in validation groups were similar (P > .1). Patient-specific simultaneous solutions of applicable models revealed therapy potentially providing maximum survival benefit. Coronary artery bypass grafting alone and listing for cardiac transplantation often maximized 5-year survival; only 15% of patients undergoing coronary artery bypass grafting plus mitral valve anuloplasty were predicted to fare best with this therapy.
Conclusion:
Validated prediction models can aid surgeons in recommending personalized treatment plans that maximize short- and long-term survival for ischemic cardiomyopathy.
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