SinoSCORE: a logistically derived additive prediction model for post-coronary artery bypass grafting in-hospital mortality in a Chinese population
| Field | Value |
|---|---|
| Model ID | 13-035-01 |
| Model Name | SinoSCORE |
| Pubmed ID | 24048813 |
| First Author | Zheng |
| Journal | Frontiers of Medicine |
| Year | 2013 |
| Title | SinoSCORE: a logistically derived additive prediction model for post-coronary artery bypass grafting in-hospital mortality in a Chinese population |
| Primary Index Condition | Coronary Artery Disease (CAD) |
| Secondary Index Condition | Revascularization |
| Outcome | Mortality |
| Model Sample Size | 8602 |
| Cohort Sample Size | 9564 |
| Number of Events | 243 |
| Follow-Up Duration | Short (<3 months) |
| AUROC | 0.8 |
| Calibration Reported | 1 |
| Covariates | Age 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 Terms | To be updated |
| Number of Validations | 0 |