Risk prediction models are critical in managing patients with acute coronary syndromes (ACS) as they identify high-risk patients who benefit the most from targeted care. We discuss the process of developing and validating a risk prediction model as well as highlight the more commonly used models in clinical practice currently. Finally we conclude by outlining the importance of creating a risk prediction model based on a Singapore population of ACS patients so as to further improve patient, hospital and research outcomes.
Strategies for managing cardiovascular disease are evolving rapidly. This evolution and improvement in care is responsible for reducing mortality especially in patients presenting with acute coronary syndromes (ACS). Nevertheless, there is room for further improvement in outcomes, particularly amongst high-risk patient subgroups in this population.
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