Assessment of ventricular-arterial coupling with a model-based sensor

• Published in: UKACC International Conference on CONTROL 2010 pp. 265 - 270
• Main Authors: Desaive, T, Lambermont, B, Ghuysen, A, Kolh, P, Morimont, P, Dauby, P.C, Starfinger, C, Hann, C.E, Shaw, G.M, Chase, J.G
• Format: Conference Proceeding Web Resource
• Language: English
• Published: Stevenage, UK IET 2010
• Subjects: Anesthesia & intensive care; Anesthésie & soins intensifs; Biomedical measurement and imaging; Haemodynamics, pneumodynamics; Human health sciences; Level, flow and volume measurement; Patient diagnostic methods and instrumentation; Pressure and vacuum measurement; Pressure measurement; Rheology of body fluids; Sciences de la santé humaine; Sensing and detecting devices; Sensing devices and transducers; cardiovascular system; septic shock; end-systolic pressure-volume relationship; model-based sensor; cardiac dysfunction diagnosis; pressure sensors; blood vessels; clinical real-time monitoring; diseases; patient monitoring; cardiovascular system model; haemorheology; gold-standard experimental assessment; ventricular-arterial coupling assessment; physiological models; blood flow measurement; catheters; ventricular contractility estimation; flow sensors; patient diagnosis; conductance catheter method
• ISBN: 9781846000386; 1846000386
• DOI: 10.1049/ic.2010.0292

Estimation of ventricular contractility is clinically important in diagnosing cardiac dysfunction in the critically ill. However, experimental assessment of indexes of ventricular contractility, such as the end-systolic pressure-volume relationship requires a highly invasive maneuver. This research describes the use of a previously validated cardiovascular system (CVS) model and identification process to evaluate the right-ventricle contractility as well as the right ventricular arterial coupling in septic shock. The results show good agreement with the gold-standard experimental assessment (conductance catheter method), and offer the potential to develop a model-based sensor to monitor the coupling in clinical realtime.