A simple statistical model for prediction of acute coronary syndrome in chest pain patients in the emergency department

Field Value
Model ID06-024-02
Model NameBjork 2006 - Base Model + Additional Characteristics
Pubmed ID16824205
First AuthorBjork
JournalBMC Medical Informatics and Decision Making
Year2006
TitleA simple statistical model for prediction of acute coronary syndrome in chest pain patients in the emergency department
Primary Index ConditionChest Pain
Secondary Index ConditionAcute Coronary Syndrome (ACS)
OutcomeAcute Coronary Syndrome (ACS)
Model Sample Size605
Cohort Sample Size634
Number of Events129
Follow-Up DurationDiagnosis
AUROC0.88
Calibration Reported1
CovariatesBaseline odds for ACS; Age (no. of years above 40); Hypertension; Angina pectoris <=1 month; Congestive heart failure; Previous myocardial infarction: yes, <=6 months; Previous myocardial infarction: yes, >6 months; Previous CABG; Chest discomfort at presentation; Symptom duration: 0-6 h; Symptom duration: 7-12 h; Symptom duration: >12 h; ECG expert assessment: ACS and TMI; ECG expert assessment: ACS but not TMI; ECG expert assessment: probably ACS; ECG expert assessment: no signs of ACS
Mesh TermsTo be updated
Number of Validations0

External Validations