Predicting and understanding risks of venous thromboembolism to individualize prevention

The risk of VTE (and other diseases) differs between patients. Therefore, knowledge of these individual risks is essential in tailoring (preventive) interventions. To obtain these individual risks, high-quality prediction models are needed. Therefore, we developed such a predicition model for the risk of VTE following arthroplasty surgery. We also successfully validated this model and investigated a potential treatment strategy for high-risk patients.<br>To study the effect of the implementation of a prediction model with subsequent intervention decisions is difficult as it entails a complex intervention. Because there is currently no detailed guidance on how to investigate this complex intervention, we wrote a methodological article which provides this guidance.<br>Lastly, we studied the pathophysiology of VTE in COVID-19 patients by determining how the risk of VTE and coagulation proteins differ(s) with differing disease severity. What we found was that the risk of VTE seems to be mainly driven by endothelial damage. <br>