Project 35

Clinical decision making in cardiac surgery

This project concerns  risk modelling, decision making, innovative statistical analysis and health technology assessment of appropriate diagnostic and therapeutic measures in the area of cardio-thoracic interventions.
One of the challenges for contemporary medicine is to apply evidence-based medicine and to rationally implement the available therapies in clinical practice, in the appropriate patients at the appropriate time.
Current research includes the application of longitudinal statistical models on serial data such as cardiac biomarkers and echocardiographic measurements over time for the purpose of outcome prediction, the optimization of individualized prognosis prediction through the development of novel risk models, shared decision making studies in prosthetic heart valve selection and NSCLC treatment selection, and cost-effectiveness studies of novel cardio-thoracic interventions. The results are applied in outcome research and should support clinical decision making.

Principal InvestigatorsAJJC Bogers, JJM Takkenberg
Co-InvestigatorAP Kappetein
PhD candidatesER Andrinopoulou, E Charitos, JRG Etnel, HJ Heuvelman, SA Huygens,
NM Korteland, S Mokhles, RLJ Osnabrugge