Risk assessment models in acute coronary syndromes and their applicability in Singapore
Annals of the Academy of Medicine, Singapore
;
: 216-220, 2010.
Article
in English
| WPRIM
| ID: wpr-253594
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Singapore
/
Algorithms
/
Predictive Value of Tests
/
Age Factors
/
Risk Assessment
/
Electrocardiography
/
Ethnology
/
Acute Coronary Syndrome
Type of study:
Etiology study
/
Prognostic study
/
Risk factors
Limits:
Female
/
Humans
/
Male
Country/Region as subject:
Asia
Language:
English
Journal:
Annals of the Academy of Medicine, Singapore
Year:
2010
Type:
Article
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