Exergy Analysis of the Heart with a Stenosis in the Arterial Valve.
Julio Brandão RollMatheus Leone BorgesCarlos Eduardo Keutenedjian MadySilvio de Oliveira JuniorPublished in: Entropy (Basel, Switzerland) (2019)
In the past decade, several articles have proposed the use of an exergy perspective to analyze physiological systems of the human body under different physical conditions. Such a perspective focuses on the exergy transformations and the efficiency of the biological processes. This may aid the medical field in assessments of a patient's physical health by means of an index (exergy efficiency) based on the quality of the energy conversion in a given process within the human heart. As a follow-up, a model was developed to describe the evolution of the transvalvular pressure gradient in the aortic valve as a function of stenosis severity. This model was created using physiological data from 40 patients available in the literature, as well as 32 operating points from different bileaflet aortic valve prosthesis. A linear regression results in values around 14.0 kPa for the pressure gradient in the most severe case, evolving from 1.0 kPa for a healthy scenario. The thermodynamic model assesses the irreversibilities associated with energy conversion processes related to metabolism: exergy destroyed at the valves, exergy increased in the flow, and the power of the heart. Results indicate that destroyed exergy reaches values of 10 W (almost 10% of total basal metabolic rate of the whole body). Exergy efficiency is 15% for a healthy heart, decreasing as a function of the severity of the stenosis to values lower than 5%.
Keyphrases
- aortic valve
- transcatheter aortic valve replacement
- aortic stenosis
- aortic valve replacement
- transcatheter aortic valve implantation
- heart failure
- endothelial cells
- mental health
- healthcare
- ejection fraction
- atrial fibrillation
- end stage renal disease
- systematic review
- physical activity
- newly diagnosed
- public health
- induced pluripotent stem cells
- electronic health record
- case report
- peritoneal dialysis
- big data
- early onset
- quality improvement
- pluripotent stem cells
- human health