A model that predicts morbidity and mortality after coronary artery bypass graft surgery

Field Value
Model ID96-005-01
Model NameMagovern 1996
Pubmed ID8890808
First AuthorMagovern
JournalJournal of the American College of Cardiology
Year1996
TitleA model that predicts morbidity and mortality after coronary artery bypass graft surgery
Primary Index ConditionCoronary Artery Disease (CAD)
Secondary Index ConditionRevascularization
OutcomeComposite
Model Sample Size1567
Cohort Sample Size1567
Number of EventsNR
Follow-Up DurationShort (<3 months)
AUROCNR
Calibration Reported1
CovariatesCardiogenic shock; Emergency operation; Urgent operation; Catheterization-induced coronary closure; Severe left ventricular dysfunction (ejection fraction <30%); Age >=75 yr; Cardiomegaly; Peripheral vascular disease; Chronic renal insufficiency (creatinine >1.9 mg/dl); Age 70-74 yr; Insulin-dependent diabetes mellitus; Non-insulin-dependent diabetes mellitus; Low body mass index; Female gender; Reoperation; Age 65-69 yr; Anemia; Cerebrovascular disease; Chronic obstructive pulmonary disease; Albumin <4.0 m/gdl; Renal dysfunction (creatinine 1.5-1.9 mg/dl); Elevated blood urea nitrogen (>29 mg/dl); Congestive heart failure; Atrial arrhythmia
Mesh TermsTo be updated
Number of Validations4

External Validations

Yes
4
0.82
1st Author Year Sample Size AUC Calibration Relatedness
Fortescue 2000 3261 0.62 Yes Related
Nilsson 2006 6153 0.82 No Distantly Related
Magovern 1996 1235 0.82 Yes Closely Related
Magovern 1996 1235 0.86 Yes Closely Related