Abstract
This model study evaluates the effect of pump characteristics and cardiovascular data on hemodynamics in atrio–aortic VAD assistance. The model includes a computational circulatory sub-model and an electrical sub-model representing two rotary blood pumps through their pressure–flow characteristics. The first is close to a pressure generator—PG (average flow sensitivity to pressure variations, −0.047 l mmHg−1); the second is closer to a flow generator—FG (average flow sensitivity to pressure variations, −0.0097 l mmHg−1). Interaction with VAD was achieved by means of two interfaces, behaving as impedance transformers. The model was verified by use of literature data and VAD onset conditions were used as a control for the experiments. Tests compared the two pumps, at constant pump speed, in different ventricular and circulatory conditions: maximum ventricular elastance (0.44–0.9 mmHg cm−3), systemic peripheral resistance (781–1200 g cm−4 s−1), ventricular diastolic compliance C p (5–10–50 cm3 mmHg−1), systemic arterial compliance (0.9–1.8 cm3 mmHg−1). Analyzed variables were: arterial and venous pressures, flows, ventricular volume, external work, and surplus hemodynamic energy (SHE). The PG pump generated the highest SHE under almost all conditions, in particular for higher C p (+50 %). PG pump flow is also the most sensitive to E max and C p changes (−26 and −33 %, respectively). The FG pump generally guarantees higher external work reduction (54 %) and flow less dependent on circulatory and ventricular conditions. The results are evidence of the importance of pump speed regulation with changing ventricular conditions. The computational sub-model will be part of a hydro-numerical model, including autonomic controls, designed to test different VADs.
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SensorART. A remote controlled Sensorized ARTificial heart enabling patients empowerment and new therapy approaches—Integrated Project funded within the framework of the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 248763 (http://www.sensorart.eu).
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This work was supported by European Union (EU) Integrated Project SensorART (Grant Number: 248763).
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Ferrari, G., Kozarski, M., Fresiello, L. et al. Continuous-flow pump model study: the effect on pump performance of pump characteristics and cardiovascular conditions. J Artif Organs 16, 149–156 (2013). https://doi.org/10.1007/s10047-013-0691-7
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DOI: https://doi.org/10.1007/s10047-013-0691-7