Risk stratification of coronary revascularization patients by using clinical and angiographic data

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.