In response: Caution in prediction: Evaluating Zhang et al.'s approach to red blood cell transfusion risk.

Power, Sarah J.; Stewart, Kenneth E.; Tanaka, Kenichi A.; Butt, Amir L.

The article discusses a multivariate model developed by Zhang et al. to predict the risk of red blood cell (RBC) transfusion in patients undergoing cardiopulmonary bypass (CPB). The model's predictive ability was impressive, but there are concerns about its scope and methodology. The authors used the Delphi method to select variables for the model, which introduces human error and selection bias. They also failed to adjust the model for potential variability in risk profile associated with emergent CPB surgery. The generalizability of the model for the Asian population is also questioned due to population-dependent risk factors. Additionally, the model's accuracy in predicting transfusion risk in the highest risk category is questionable. Overall, the article suggests that further research is needed to refine and expand on predictive tools for transfusion risk.

RED blood cell transfusion; OPERATING room nursing; PREOPERATIVE risk factors; FORECASTING; ERYTHROCYTES; DISEASE risk factors; DELPHI method

Transfusion, 2024, Vol 64, Issue 3, p560

0041-1132

Academic Journal

10.1111/trf.17731