Risk assessment models in acute coronary syndromes and their applicability in Singapore.
- Author:
Chee Tang CHIN
1
;
Terrance S J CHUA
;
Soo Teik LIM
Author Information
1. National Heart Centre Singapore, Singapore. chin.chee.tang@nhcs.com.sg
- Publication Type:Journal Article
- MeSH:
Acute Coronary Syndrome;
ethnology;
Age Factors;
Algorithms;
Electrocardiography;
Female;
Humans;
Male;
Predictive Value of Tests;
Risk Assessment;
Singapore
- From:Annals of the Academy of Medicine, Singapore
2010;39(3):216-220
- CountrySingapore
- Language:English
-
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.
