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Published on: September 22, 2020
Risk stratification of coronary revascularization patients by using clinical and angiographic data
Insights
A new risk model predicts three-year mortality after coronary revascularization. Heart failure history, proximal left circumflex artery lesions, and age are key predictors for stratifying patients into low, intermediate, and high-risk groups.
Area of Science:
- Cardiology
- Interventional Cardiology
- Cardiac Surgery
Background:
- Patients undergoing coronary artery bypass grafting (CABG) or percutaneous coronary intervention (PCI) face significant long-term mortality risks.
- Preoperative and preprocedural factors are primary drivers of this mortality.
- A practical method for predicting survival post-revascularization is needed.
Purpose of the Study:
- To develop a classification tree model for predicting mid-term survival after coronary revascularization.
- To identify key risk factors for mortality in patients undergoing CABG or PCI.
Main Methods:
- Retrospective analysis of 3387 patients undergoing PCI or CABG.
- Examined all-cause three-year mortality.
- Utilized recursive partitioning to develop a risk stratification model.
Main Results:
- History of heart failure (HF) was the strongest predictor of three-year mortality.
- Age > 65 and proximal left circumflex artery (pLCX) lesions were significant predictors.
- Patients were stratified into low (2.3%), intermediate, and high (36.2%) risk groups.
- pLCX stenosis independently predicted mortality in HF patients (HR, 1.46).
Conclusions:
- A risk stratification scheme effectively categorizes patients into low, intermediate, and high-risk groups for three-year mortality.
- Proximal left circumflex artery stenosis is a crucial prognostic factor for patients with a history of heart failure.
Aim:
Patients undergoing coronary artery bypass grafting (CABG) or percutaneous coronary intervention (PCI) are still at a substantial risk of death after their procedures. A core group of preoperative and preprocedural risk factors and conditions contributes the majority of inherent mid- and long-term mortality risk in these patients. Therefore, we sought to develop a classification tree model as a practical and user-friendly method of predicting mid-term survival after coronary revascularization procedures.
Methods:
We retrospectively analyzed data from a single, large-volume institution. Specifically, we examined all-cause three-year mortality in 3387 consecutive patients with multivessel or single proximal left anterior descending coronary artery disease who underwent either PCI with stenting or CABG.
Results:
Recursive partitioning indicated that the best single predictor of death within three years was a history of heart failure (HF), followed by a proximal left circumflex artery (pLCX) lesion and age greater than 65 years for patients with and without a history of HF, respectively. With these variables, patients were readily stratified into low-, intermediate-, and high-risk groups whose risks of death over three years ranged from 2.3% to 36.2%. Among patients with a history of HF, pLCX stenosis was an independent predictor of mid-term mortality after adjustment for other known risk factors (hazard ratio, 1.46; 95% CI, 1.04-2.03).
Conclusion:
The constructed risk stratification scheme stratified patients into groups at low, intermediate, and high risk of death within three years. Stenosis of the pLCX seems to be an important prognostic factor for patients with a history of HF.
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