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

Field Value
Model ID06-024-01
Model NameBjork 2006 - Base Model
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 Size627
Cohort Sample Size634
Number of Events126
Follow-Up DurationDiagnosis
AUROC0.806
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; I-Stamp: I-Stamp >50 and I-STamp38 > I-Stamp; aVF-Stamp: aVF-Stamp>100 and aVF-STamp38>aVF-Stamp; aVF-Stamp: aVF-Stamp < -100 and aVF-STamp38 < aVF-Stamp; aVF-Stamp: none of above; V2-Stamp: V2-Stamp>200 and V2-STamp38 > V2-Stamp; V2-Stamp: 100 < V2-Stamp <=200 and V2-STamp38 > V2-Stamp; V2-Stamp: V2-Stamp < -100 and V2-STamp38 < V2-Stamp; V2-Stamp: none of above
Mesh TermsTo be updated
Number of Validations0

External Validations