title: Risk assessment models in acute coronary syndromes and their applicability in Singapore.
abstract: 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.
authors.affiliation: National Heart Centre Singapore, Singapore. chin.chee.tang@nhcs.com.sg
authors.forename: Chee Tang
authors.initials: CT
authors.lastname: Chin
authors.forename: Terrance S J
authors.initials: TS
authors.lastname: Chua
authors.forename: Soo Teik
authors.initials: ST
authors.lastname: Lim
mesh_terms: D054058:Acute Coronary Syndrome / Q000208:ethnology*; D000367:Age Factors; D000465:Algorithms; D004562:Electrocardiography; D005260:Female; D006801:Humans; D008297:Male; D011237:Predictive Value of Tests; D018570:Risk Assessment; D012846:Singapore