A Sensorless Modular Multiobjective Control Algorithm for Left Ventricular Assist Devices: A Clinical Pilot Study

Martin Maw, Thomas Schlöglhofer, Christiane Marko, Philipp Aigner, Christoph Gross, Gregor Widhalm, Anne-Kristin Schaefer, Michael Schima, Franziska Wittmann, Dominik Wiedemann, Francesco Moscato, D'Anne Kudlik, Robert Stadler, Daniel Zimpfer, Heinrich Schima, Martin Maw, Thomas Schlöglhofer, Christiane Marko, Philipp Aigner, Christoph Gross, Gregor Widhalm, Anne-Kristin Schaefer, Michael Schima, Franziska Wittmann, Dominik Wiedemann, Francesco Moscato, D'Anne Kudlik, Robert Stadler, Daniel Zimpfer, Heinrich Schima

Abstract

Background: Contemporary Left Ventricular Assist Devices (LVADs) mainly operate at a constant speed, only insufficiently adapting to changes in patient demand. Automatic physiological speed control promises tighter integration of the LVAD into patient physiology, increasing the level of support during activity and decreasing support when it is excessive.

Methods: A sensorless modular control algorithm was developed for a centrifugal LVAD (HVAD, Medtronic plc, MN, USA). It consists of a heart rate-, a pulsatility-, a suction reaction-and a supervisor module. These modules were embedded into a safe testing environment and investigated in a single-center, blinded, crossover, clinical pilot trial (clinicaltrials.gov, NCT04786236). Patients completed a protocol consisting of orthostatic changes, Valsalva maneuver and submaximal bicycle ergometry in constant speed and physiological control mode in randomized sequence. Endpoints for the study were reduction of suction burden, adequate pump speed and flowrate adaptations of the control algorithm for each protocol item and no necessity for intervention via the hardware safety systems.

Results: A total of six patients (median age 53.5, 100% male) completed 13 tests in the intermediate care unit or in an outpatient setting, without necessity for intervention during control mode operation. Physiological control reduced speed and flowrate during patient rest, in sitting by a median of -75 [Interquartile Range (IQR): -137, 65] rpm and in supine position by -130 [-150, 30] rpm, thereby reducing suction burden in scenarios prone to overpumping in most tests [0 [-10, 2] Suction events/minute] in orthostatic upwards transitions and by -2 [-6, 0] Suction events/min in Valsalva maneuver. During submaximal ergometry speed was increased by 86 [31, 193] rpm compared to constant speed for a median flow increase of 0.2 [0.1, 0.8] L/min. In 3 tests speed could not be increased above constant set speed due to recurring suction and in 3 tests speed could be increased by up to 500 rpm with a pump flowrate increase of up to 0.9 L/min.

Conclusion: In this pilot study, safety, short-term efficacy, and physiological responsiveness of a sensorless automated speed control system for a centrifugal LVAD was established. Long term studies are needed to show improved clinical outcomes.

Clinical trial registration: ClinicalTrials.gov, identifier: NCT04786236.

Keywords: Valsalva maneuver; left ventricular assist device (LVAD); mechanical circulatory support; orthostatic transitions; physiological control; smart pumping; submaximal bicycle ergometry.

Conflict of interest statement

This study received funding from the Ludwig Boltzmann Institute for Cardiovascular Research and an External Research Project grant by Medtronic plc. The funder: Medtronic had the following involvement with the study: Manuscript review. The funder was not involved in the study design, collection, analysis, interpretation of data or the decision to submit it for publication. TS, Disclosure: Consultant, Advisor (Abbott, Medtronic); Research Grant (Abbot, Medtronic). DW and DZ, Disclosure: Advisor, Proctor, Research Grants, non-financial Support, Speaker Fees (Abbott, Medtronic, Berlin Heart, Edwards). HS, Disclosure: Research Grant, Advisor (Medtronic). D'AK and RS were employed by Medtronic plc. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Copyright © 2022 Maw, Schlöglhofer, Marko, Aigner, Gross, Widhalm, Schaefer, Schima, Wittmann, Wiedemann, Moscato, Kudlik, Stadler, Zimpfer and Schima.

Figures

Figure 1
Figure 1
Graphic representation of the control algorithm. The demand response submodule sets an upper speed limit based on heart rate. The flow pulsatility is partially governed by the Frank Starling curve of the ventricle (in the right panel). If flow pulsatility exceeds the set-point, sufficient filling is expected and speed is increased proportionally up to the demand response line (black). Conversely, if flow pulsatility is below set-value, speed is decreased, eventually down to the minimum speed limit. If suction is detected, speed is reduced by discrete steps until suction is cleared. If speed is decreased to minimum speed (red line) and suction is still present, speed is not further decreased. Speed is increased once suction is no longer present.
Figure 2
Figure 2
The clinical routine hardware setup of the HVAD (1–5) was modified with the addition of a switchbox (6), the dSpace MicrolabBox (7), a laptop (8), and an isolation transformer (9). The switchbox routes serial transmission to the controller between the monitor, the internal microprocessor and the dSpace based system (1: Monitor; 2: HVAD pump; 3: Power supply; 4: Controller; 5: Battery; 6: Switchbox; 7: dSpace Microlabbox; 8: Laptop; 9: Isolation Transformer). Adapted from (8).
Figure 3
Figure 3
Steady state posture differences between standing(H), sitting (M), supine (L). Left panels: Speed (ω), flowrate (Q), and suction [in Suction Events (SE)/minute] in constant speed (CS) and physiologic control (PhC) and their differences. Module panel: control module activation for pulsatility (PS), demand response (DR), suction response (SU), and rate limited increase (RLI) modules. Speed is reduced in all postures in PhC modes compared to CS resulting in reduced flowrates and reduced suction burden during standing. DR module mainly governs set speed in supine and sitting position with increasing contributions from the SU modules while standing.
Figure 4
Figure 4
Orthostatic transitions from the supine position to either sitting or standing. Left panels: Speed (ω), flowrate (Q), and suction [in Suction Events (SE)/minute] in constant speed (CS) and physiologic control (PhC) and their differences are presented in steady state (SS) initial transition phase (IP) and late phase (LP). Module panel: control module activation: activation for pulsatility (PS), demand response (DR), suction response (SU), and rate limited increase (RLI) modules. Speed is reduced in PhC compared to CS in all phases. Lower suction burden in IP and LP is observed. There is predominant DR activation at SS with increasing contributions of the PS and SU module at later stages of the transition.
Figure 5
Figure 5
Valsalva maneuver (VA) is subdivided into 3 phases: steady state (SS), strain phase (SP) and recovery phase (RP). Left panels: Speed (ω), flowrate (Q), and suction [in Suction Events (SE)/minute] in constant speed (CS) and physiologic control (PhC) and their differences are presented. Module panel: control module activation: activation for pulsatility (PS), demand response (DR), suction response (SU), and rate limited increase (RLI) modules. Speed is reduced in PhC compared to CS, resulting in lower suction burden.
Figure 6
Figure 6
Submaximal ergometry is subdivided into 4 phases: warm up (WU), early phase (EP), late phase (LP) and cool down (CD). Left panels: Speed (ω), flowrate (Q), and suction [in Suction Events (SE)/minute] in constant speed (CS) and physiologic control (PhC) and their differences are presented. Module panel: control module activation: activation for pulsatility (PS), demand response (DR), suction response (SU), and rate limited increase (RLI) modules. Speed during ergometry is increased in PhC compared to CS resulting in increased pump flowrates, especially at later stages of submaximal exercise.

References

    1. Teuteberg JJ, Cleveland JC, Cowger J, Higgins RS, Goldstein DJ, Keebler M, et al. . The society of thoracic surgeons intermacs 2019 annual report: the changing landscape of devices and indications. Ann Thorac Surg. (2020) 109:649–60. 10.1016/j.athoracsur.2019.12.005
    1. Fukamachi K, Shiose A, Massiello A, Horvath DJ, Golding LAR, Lee S, et al. . Preload sensitivity in cardiac assist devices. Ann Thorac Surg. (2013) 95:373–80. 10.1016/j.athoracsur.2012.07.077
    1. Schlöglhofer T, Robson D, Bancroft J, Sørensen G, Kaufmann F, Sweet L, et al. . International coordinator survey results on the outpatient management of patients with the heartware® ventricular assist system. Int J Artif Organs. (2016) 39:553–7. 10.5301/ijao.5000538
    1. Lim HS, Howell N, Ranasinghe A. The physiology of continuous-flow left ventricular assist devices. J Card Fail. (2017) 23:169–80. 10.1016/j.cardfail.2016.10.015
    1. Gross C, Marko C, Mikl J, Altenberger J, Schlöglhofer T, Schima H, et al. . Pump flow does not adequately increase with exercise. Artif Organs. (2019) 43:222–8. 10.1111/aor.13349
    1. Jung MH, Houston B, Russell SD, Gustafsson F. Pump speed modulations and sub-maximal exercise tolerance in left ventricular assist device recipients: a double-blind, randomized trial. J Hear Lung Transplant. (2017) 36:36–41. 10.1016/j.healun.2016.06.020
    1. Gross C, Schima H, Schlöglhofer T, Dimitrov K, Maw M, Riebandt J, et al. . Continuous LVAD monitoring reveals high suction rates in clinically stable outpatients. Artif Organs. (2020) 44:E251–62. 10.1111/aor.13638
    1. HeartWare I. HeartWare Ventricular Assist System. (2012). p. 1–104. Available online at: (accessed November 13, 2021).
    1. Corp. T. HeartMateIII Instructions for Use. (2017). Available online at: (accessed November 14, 2018).
    1. Tchantchaleishvili V, Luc JGY, Cohan CM, Phan K, Hübbert L, Day SW, et al. . Clinical implications of physiologic flow adjustment in continuous-flow left ventricular assist devices. ASAIO J. (2017) 63:241–50. 10.1097/MAT.0000000000000477
    1. Maw M, Moscato F, Gross C, Schlöglhofer T, Schima H. Novel solutions for patient monitoring and mechanical circulatory support device control. In: Karimov JH, Fukamachi K, Starling RC, editors. Mechanical Support for Heart Failure. Cham: Springer International Publishing. p. 707–28.
    1. Pauls JP, Stevens MC, Bartnikowski N, Fraser JF, Gregory SD, Tansley G. Evaluation of physiological control systems for rotary left ventricular assist devices: an in-vitro study. Ann Biomed Eng. (2016) 44:1–11. 10.1007/s10439-016-1552-3
    1. Petrou A, Lee J, Dual S, Ochsner G, Meboldt M, Schmid Daners M. Standardized comparison of selected physiological controllers for rotary blood pumps: in vitro study. Artif Organs. (2018) 42:E29–42. 10.1111/aor.12999
    1. Schima H, Vollkron M, Jantsch U, Crevenna R, Roethy W, Benkowski R, et al. . First clinical experience with an automatic control system for rotary blood pumps during ergometry and right-heart catheterization. J Hear Lung Transplant. (2006) 25:167–73. 10.1016/j.healun.2005.09.008
    1. Pauls JP, Roberts LA, Burgess T, Fraser JF, Gregory SD, Tansley G. Time course response of the heart and circulatory system to active postural changes. J Biomech Eng. (2018) 140:034501. 10.1115/1.4038429
    1. Looga R. The Valsalva manoeuvre - cardiovascular effects and performance technique: a critical review. Respir Physiol Neurobiol. (2005) 147:39–49. 10.1016/j.resp.2005.01.003
    1. Granegger M, Masetti M, Laohasurayodhin R, Schloeglhofer T, Zimpfer D, Schima H, et al. . Continuous monitoring of aortic valve opening in rotary blood pump patients. IEEE Trans Biomed Eng. (2016) 63:1201–7. 10.1109/TBME.2015.2489188
    1. Maw M, Gross C, Schlöglhofer T, Dimitrov K, Zimpfer D, Moscato F, et al. . Development of suction detection algorithms for a left ventricular assist device from patient data. Biomed Signal Process Control. (2021) 69:102910. 10.1016/j.bspc.2021.102910
    1. Moscato F, Granegger M, Edelmayer M, Zimpfer D, Schima H. Continuous monitoring of cardiac rhythms in left ventricular assist device patients. Artif Organs. (2014) 38:191–8. 10.1111/aor.12141
    1. Pan J, Tompkins WJ. Pan tomkins 1985 - QRS detection.pdf. IEEE Trans Biomed Eng. (1985) 32:230–6. 10.1109/TBME.1985.325532
    1. Pardey J, Jouravleva S. The next-generation holter revolution: From analyse-edit-print to analyse-print. Comput Cardiol. (2004) 31:373–6. 10.1109/CIC.2004.1442950
    1. Schlöglhofer T, Aigner P, Migas M, Beitzke D, Dimitrov K, Wittmann F, et al. . Inflow cannula position as risk factor for stroke in patients with HeartMate 3 left ventricular assist devices. Artif Organs. (2022). 10.1111/aor.14165. [Epub ahead of print].
    1. Vollkron M, Voitl P, Ta J, Wieselthaler G, Schima H. Suction events during left ventricular support and ventricular arrhythmias. J Hear Lung Transplant. (2007) 26:819–25. 10.1016/j.healun.2007.05.011
    1. Gopinathannair R, Cornwell WK, Dukes JW, Ellis CR, Hickey KT, Joglar JA, et al. . Device therapy and arrhythmia management in left ventricular assist device recipients: a scientific statement from the American Heart Association. Circulation. (2019) 139:E967–89. 10.1161/CIR.0000000000000673
    1. Hayward CS, Salamonsen R, Keogh AM, Woodard J, Ayre P, Prichard R, et al. . Effect of alteration in pump speed on pump output and left ventricular filling with continuous-flow left ventricular assist device. ASAIO J. (2011) 57:495–500. 10.1097/MAT.0b013e318233b112
    1. Sorensen EN, Kon ZN, Feller ED, Pham SM, Griffith BP. Quantitative assessment of inflow malposition in two continuous-flow left ventricular assist devices. Ann Thorac Surg. (2018) 105:1377–83. 10.1016/j.athoracsur.2017.12.004
    1. Vincent F, Rauch A, Loobuyck V, Robin E, Nix C, Vincentelli A, et al. . Arterial pulsatility and circulating von willebrand factor in patients on mechanical circulatory support. J Am Coll Cardiol. (2018) 71:2106–18. 10.1016/j.jacc.2018.02.075
    1. Lai J V, Muthiah K, Robson D, Prichard R, Walker R, Pin Lim C, et al. . Impact of pump speed on hemodynamics with exercise in continuous flow ventricular assist device patients. ASAIO J. (2020) 66:132–8. 10.1097/MAT.0000000000000975
    1. Jakovljevic DG, George RS, Nunan D, Donovan G, Bougard RS, Yacoub MH, et al. . The impact of acute reduction of continuous-flow left ventricular assist device support on cardiac and exercise performance. Heart. (2010) 96:1390–5. 10.1136/hrt.2010.193698
    1. Jain P, Adji A, Emmanuel S, Robson D, Muthiah K, Macdonald PS, et al. . Phenotyping of stable left ventricular assist device patients using noninvasive pump flow responses to acute loading transients. J Card Fail. (2021) 27:642–50. 10.1016/j.cardfail.2021.01.009
    1. Vollkron M, Schima H, Huber L, Benkowski R, Morello G, Wieselthaler G. Development of a reliable automatic speed control system for rotary blood pumps. J Hear Lung Transplant. (2005) 24:1878–85. 10.1016/j.healun.2005.02.004

Source: PubMed

3
Abonner