Why the study?
While CABG improves survival rates and relieves symptoms in CAD, evaluation of outcomes remains crucial.
This review summarizes key parameters used to evaluate and predict outcomes following coronary artery bypass grafting to guide future research and clinical decision-making.
May aid CABG outcome assessment in practice; leaves open validation of refined predictive models.
Coronary Artery Disease (CAD) remains a leading cause of death globally, contributing to millions of fatalities each year. Coronary Artery Bypass Grafting (CABG) is one of the most common and effective surgical treatments for CAD, designed to restore blood flow to the heart by bypassing blocked coronary arteries. While CABG has proven to improve survival rates and relieve symptoms, the evaluation of outcomes remains crucial. This review examines several key parameters for assessing CABG outcomes, including Quality of Life (QoL), cardiac biomarkers, the SYNTAX score, Major Adverse Cardiovascular Events (MACE), and postoperative complications and highlights the ongoing need for refined predictive models and clinical decision-making tools to improve patient outcomes after CABG. Future research should focus on optimizing these parameters to better predict and enhance the results of CABG procedures.
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Emas et al. (2024) studied this question.
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