SinoSCORE: a logistically derived additive prediction model for post-coronary artery bypass grafting in-hospital mortality in a Chinese population

Field Value
Model ID13-035-01
Model NameSinoSCORE
Pubmed ID24048813
First AuthorZheng
JournalFrontiers of Medicine
Year2013
TitleSinoSCORE: a logistically derived additive prediction model for post-coronary artery bypass grafting in-hospital mortality in a Chinese population
Primary Index ConditionCoronary Artery Disease (CAD)
Secondary Index ConditionRevascularization
OutcomeMortality
Model Sample Size8602
Cohort Sample Size9564
Number of Events243
Follow-Up DurationShort (<3 months)
AUROC0.8
Calibration Reported1
CovariatesAge 65-69; Age 70-74; Age >=75; BMI >=24; BMI <18; Chronic renal failure; Extracardiac arteriopathy; Chronic obstructive pulmonary disease; NYHA stage III; NYHA stage IV; Preoperative atrial fibrillation or flutter; Ejection fraction <50%; Preoperative critical stage; Non-elective surgery; Combined valve surgery
Mesh TermsTo be updated
Number of Validations0

External Validations