Suction prevention and physiologic control of continuous flow left ventricular assist devices using intrinsic pump parameters.
The risk for left ventricular (LV) suction during left ventricular assist devices (LVAD) support has been a clinical concern. Current development efforts suggest LVAD suction prevention and physiologic control algorithms may require chronic implantation of pressure or flow sensors, which can be unreliable because of baseline drift and short lifespan. To overcome this limitation, we designed a sensorless suction prevention and physiologic control (eSPPC) algorithm that only requires LVAD intrinsic parameters (pump speed and power). Two gain-scheduled, proportional-integral controllers maintain a differential pump speed (ΔRPM) above a user-defined threshold to prevent LV suction while maintaining an average reference differential pressure (ΔP) between the LV and aorta. ΔRPM is calculated from noisy pump speed measurements that are low-pass filtered, and ΔP is estimated using an extended Kalman filter. Efficacy and robustness of the eSPPC algorithm were evaluated in silico during simulated rest and exercise test conditions for 1) excessive ΔP setpoint (ES); 2) rapid eightfold increase in pulmonary vascular resistance (PVR); and 3) ES and PVR. Simulated hemodynamic waveforms (LV pressure and volume; aortic pressure and flow) using only intrinsic pump parameters showed the feasibility of our proposed eSPPC algorithm in preventing LV suction for all test conditions.
From the *Departments of Bioengineering & Surgery, University of Louisville, Louisville, Kentucky; and †Department of Thoracic and Cardiovascular Surgery, University of Louisville, Louisville, Kentucky.
Yu
Y
Wang
Steven C
SC
Koenig
Mark S
MS
Slaughter
Guruprasad A
GA
Giridharan
D000465:Algorithms; D003198:Computer Simulation; D015444:Exercise / Q000502:physiology; D006333:Heart Failure / Q000503:physiopathology / Q000601:surgery; D006353:Heart-Assist Devices / Q000009:adverse effects / Q000706:statistics & numerical data*; D006439:Hemodynamics; D006801:Humans; D008955:Models, Cardiovascular; D011312:Pressure; D013396:Suction; D014655:Vascular Resistance