Guo, Yunping. Predictive modeling of isolated systolic hypertension from changes in arterial compliance and peripheral resistance. Retrieved from https://doi.org/doi:10.7282/t3-bgh6-8d82
DescriptionHypertension has been recognized as the principal risk factor to cardiovascular diseases (CVD). The condition exists in more than 75 million in the US alone, and is known as the silent killer. Isolated systolic hypertension (ISH) with systolic pressure of 160 mmHg and diastolic pressure of 90 mmHg, is particularly common is the elderly. But its underlying mechanism remains largely unresolved. This thesis investigates the hemodynamic contributing factors to the production of ISH through computational modeling.
Since ISH in the elderly has been found clinically to be due to vascular factors, i.e. reduced artery compliance (C) and increased peripheral resistance (Rs), we utilized the three-element Windkessel model of the arterial system to evaluate its parameter changes in the production of ISH. Experimental aortic pressure (P) and flow (Q) data previously obtained from our lab and from published database were obtained for the normal, vasoconstrictor induced hypertension and vasodilator induced hypotension conditions. With Q as input to the model, predicted pressure waveform compared well with measured pressure. A variety of combinations of C and Rs are then used to predict the ISH (160/90 mmHg). Significantly larger percentage reduction in C and mild increase in Rs have been found to produce ISH. Comparison of multiple data sets showed that subjects with lower initial blood pressure needed much greater changes in C and Rs to become systolic hypertensive. The opposite was found for those with higher initial pressures.
Findings of the present study agree well with those observed clinically. This model study has the distinct advantage, in that it identifies quantitative alteration in vascular parameter changes (C and Rs) and how they contribute to progressive blood pressure increases. The study can be extended to monitor individual hypertensive patients, as well as evaluated different anti-hypertensive drugs and their effectiveness.