Multiple biomarkers at admission significantly improve the prediction of mortality in patients undergoing primary percutaneous coronary intervention for acute ST-segment elevation myocardial infarction

Field Value
Model ID11-053-01
Model NameDamman 2011
Pubmed ID21185497
First AuthorDamman
JournalJournal of the American College of Cardiology
Year2011
TitleMultiple biomarkers at admission significantly improve the prediction of mortality in patients undergoing primary percutaneous coronary intervention for acute ST-segment elevation myocardial infarction
Primary Index ConditionCoronary Artery Disease (CAD)
Secondary Index ConditionAcute Coronary Syndrome (ACS)
OutcomeMortality
Model Sample Size1034
Cohort Sample Size1034
Number of Events120
Follow-Up DurationLong (>6 months)
AUROCNR
Calibration Reported1
CovariatesGlucose <8 mmol/l; Glucose 8-9 mmol/l; Glucose >=10 mmol/l; NT-proBNP <150 ng/l; NT-proBNP 150-599 ng/l; NT-proBNP >=600 ng/l; eGFR >=90 ml/min; eGFR 60-89 ml/min; eGFR <60 ml/min
Mesh TermsTo be updated
Number of Validations0

External Validations