Changes in predictive capacity when adding Ticagrelor and Clopidogrel to an existing allogeneic bloodtransfuion prediction model for cardiac surgery.

The Transfusion Risk and Clinical Knowledge (TRACK) model was developed in 2008 in an Italian adult cardiac surgery population and consists of the following 5 predictive factors: sex, age, weight, pre-operative haematocrit and complexity of surgery(6). The decision to use this specific model was based on its simplicity and relatively high predictive capacity, in comparison to other models with higher numbers of complex factors. This model has an allogeneic blood transfusion predictive capacity of 72% and uses a point system to divide patients into different risk groups, according to the total number of points allocated. During the derivation of this model in 2008, dual anti-platelet medication was included, but no significant association was found. In the 12 years since development, the popularity of dual anti-platelet medication used in acute coronary syndrome patients, has significantly improved and its association with post-operative bleeding and allogeneic blood transfusion has been suggested(10, 11).

Validating this model might aid clinicians in reducing allogeneic blood transfusions, transfusion complications and associated costs. Ultimately this might aid development of patient specific transfusion strategies and new blood management protocols.

The aim of this study is to externally validate the TRACK blood transfusion prediction model in our population. Additionally, we will study the impact of adding the preoperative use of dual antiplatelet medication, as extra predictive factor, to the TRACK blood transfusion prediction model and determine the effect on predictive capacity.

The aim of this study is to externally validate the TRACK blood transfusion prediction model in our population. Additionally, we will study the impact of adding the preoperative use of dual antiplatelet medication, as extra predictive factor, to the TRACK blood transfusion prediction model and determine the effect on predictive capacity.

Pre operative: Baseline Characteristic, Vital Signs, Laboratory values, transfusions,
Intraoperative: Extracorporeal Characteristics, Vital Signs, Laboratory values, transfusions
Post operative: Vital Signs, Laboratory values, transfusions, 30 day mortality, 90 day mortality

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