Edith is working on how to distinguish between heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF) and using this analysis is trying to subdivide the HFpEF diagnosis. HFpEF is heart failure with an ejection fraction that is greater than 50% (aka: diastolic dysfunction) and it is known that it is difficult to treat because there is large phenotypic variability within the diagnosis. How can we find subdiagnoses that lead to targeted treatments and better outcomes? Computational models are used to determine the underlying phenotype in an effort to answer this question.
Model analysis workflow and results showing separation of HFpEF into two groups pure HFpEF (Group 1) and HFpEF that is like HFrEF (Group 2)