Risk score for predicting in-hospital/30-day mortality for patients undergoing valve and valve/coronary artery bypass graft surgery

Field Value
Model ID13-053-01
Model NameNYC Risk Score - Valve
Pubmed ID23357609
First AuthorHannan
JournalAnnals of Thoracic Surgery
Year2013
TitleRisk score for predicting in-hospital/30-day mortality for patients undergoing valve and valve/coronary artery bypass graft surgery
Primary Index ConditionValve Disease
Secondary Index ConditionN/A
OutcomeMortality
Model Sample Size13455
Cohort Sample Size13455
Number of Events542
Follow-Up DurationShort (<3 months)
AUROC0.781
Calibration Reported1
CovariatesIntercept; Type of valve surgery: aortic valve replacement; Type of valve surgery: mitral valve replacement; Type of valve surgery: mitral valve repair; Type of valve surgery: mitral valve repair or replacement; Age <=50 years; Age 51-59 years; Age 60-69 years; Age 70-79 years; Age >=80 years; Female; Hemodynamically unstable; Ejection fraction <30%; Previous MI within 7 days; Previous MI 8 days or more; Endocarditis; Cerebrovascular disease; Renal failure: creatinine 1.3-1.5 mg/dL; Renal failure: creatinine 1.6-2.5 mg/dL; Renal failure: creatinine >2.5 mg/dL; Renal failure: requiring dialysis; Left main disease; Previous open heart operations
Mesh TermsTo be updated
Number of Validations3

External Validations

Yes
3
0.73
1st Author Year Sample Size AUC Calibration Relatedness
Hannan 2013 12345 NR No Closely Related
Wang 2016 5152 0.683 Yes Related
Jin 2013 4021 0.777 Yes Related