Abstract:
Pediatric cardiovascular disease (CVD) is one of the leading causes of mortality in children. While innovations in pediatric CVD treatment have improved mortality and morbidity, the incidence of residual disease remains high. An increasing level of detail in patients’ diagnostic data has revealed a growing variability in pathology and hemodynamics. Patient-specific hemodynamics are intrinsically linked to the onset and progression of CVD. Therefore, there is a pressing need to improve our understanding of pediatric CVD while considering patient-specific hemodynamics and individualizing treatment plans. 

Computational hemodynamic modeling synergizes patient-specific hemodynamic data with physical and physiological principles to provide a comprehensive description of an individual’s pathology. In this work, computational models are used to study mechanisms contributing to CVD, aid in patient stratification, and aid in surgical planning in three pediatric CVDs: pulmonary arterial hypertension (PAH), renovascular hypertension caused by an abdominal aortic coarctation (AAC), and hypoplastic left heart syndrome (HLHS).

Committee Chair(s):
Dr. David Kohn

Zoom Link: https://umich.zoom.us/j/92042390057
Passcode: modeling