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)
AUROC0.80
Calibration Reported
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 cr
Mesh TermsTo be updated
Number of Validations0

External Validations