Use of a scoring model combining clinical, exercise test, and echocardiographic data to predict mortality in patients with known or suspected coronary artery disease

Field Value
Model ID04-006-02
Model NameElhendy 2004 - Cardiac Events
Pubmed ID15135693
First AuthorElhendy
JournalAmerican Journal of Cardiology
Year2004
TitleUse of a scoring model combining clinical, exercise test, and echocardiographic data to predict mortality in patients with known or suspected coronary artery disease
Primary Index ConditionCoronary Artery Disease (CAD)
Secondary Index ConditionStable
OutcomeMACE
Model Sample Size2840
Cohort Sample Size5679
Number of Events143
Follow-Up DurationLong (>6 months)
AUROCNR
Calibration Reported1
CovariatesGender; Chest pain; Metabolic equivalents; Exercise wall motion score index
Mesh TermsTo be updated
Number of Validations0

External Validations