Risk Scores to Facilitate Preoperative Prediction of Transfusion and Large Volume Blood Transfusion Associated With Adult Cardiac Surgery

Background The aim of this study was to develop two novel risk prediction scores for transfusion and bleeding that would be used to inform treatment decisions, quality assurance, and clinical trial design in cardiac surgery. Methods Clinical data prospectively collected from 26 UK cardiac surgical centres and a single European centre were used to develop two risk prediction models: one for any red blood cell (RBC) transfusion, and the other for large volume blood transfusion (≥4 RBC units; LVBT), an index of severe blood loss. ‘Complete case' data were available for 24 749 patients. Multiple imputation was used for missing covariate data (typically Results The area under the receiver operating characteristic curve (AUC) was 0.77 (95% confidence interval 0.77–0.77) for the any RBC transfusion score and AUC 0.80 (0.79–0.80) for the LVBT score in the imputed data set. The LVBT model also showed excellent discrimination (Hosmer–Lemeshow P=0.32). In the imputed data set, the AUCs for the TRACK and TRUST scores for any RBC transfusion were 0.71 and 0.71, respectively, and for LVBT the AUC for the BRiSc score was 0.69. Conclusions Two new risk scores for any RBC transfusion or LVBT among cardiac surgery patients have excellent discrimination, and could inform clinical decision making.