Feasibility of predicting the risk of atrial fibrillation after coronary artery bypass surgery with logistic regression model

Field Value
Model ID02-015-01
Model NameHakala 2002
Pubmed ID12558083
First AuthorHakala
JournalScandinavian Journal of Surgery
Year2002
TitleFeasibility of predicting the risk of atrial fibrillation after coronary artery bypass surgery with logistic regression model
Primary Index ConditionCoronary Artery Disease (CAD)
Secondary Index ConditionRevascularization
OutcomeArrhythmia
Model Sample Size3676
Cohort Sample Size3676
Number of Events1141
Follow-Up DurationShort (<3 months)
AUROC0.69
Calibration Reported1
CovariatesAge; Body surface area; Ejection fraction; Digoxin use preoperatively; IABP or inotropic medication during the first 24 hours; Constant
Mesh TermsTo be updated
Number of Validations1

External Validations

Yes
1
0.69
1st Author Year Sample Size AUC Calibration Relatedness
Hakala 2002 1107 0.69 No Closely Related