Central arterial pressure estimation based on two peripheral pressure measurements using one-dimensional blood flow...

Area of Science:

• Cardiovascular physiology
• Biomedical engineering
• Hemodynamics

Background:

• Accurate central aortic pressure measurement is crucial for cardiovascular assessment.
• Non-invasive estimation methods are highly desirable for clinical applications.
• One-dimensional arterial flow simulations offer a potential approach for pressure estimation.

Purpose of the Study:

• To demonstrate that two peripheral pressure measurements can accurately determine the central aortic pressure curve.
• To validate a patient-specific parameter optimization technique for arterial flow simulations.
• To compare the results with established transfer function methods.

Main Methods:

• Utilized one-dimensional arterial flow simulations.
• Acquired simultaneous radial and carotid artery pressure measurements from 62 patients.
• Optimized patient-specific system parameters to match peripheral pressure data.
• Calculated aortic pressure curves using the optimized models.

Main Results:

• The two calculated aortic pressure curves showed excellent agreement.
• Average differences for Systolic and Mean Blood Pressure were 0.5 and -0.5 mmHg, respectively.
• The results were also in good agreement with the transfer function method.

Conclusions:

• Two peripheral pressure measurements, combined with patient-specific parameter optimization of arterial models, can reliably estimate central aortic pressure.
• This non-invasive approach provides accurate systolic and mean blood pressure values.
• The validated method offers a promising tool for non-invasive hemodynamic monitoring.