A Power Tracking Algorithm for Early Detection of Centrifugal Flow Pump Thrombosis

Mark S. Slaughter; Thomas Schlöglhofer; Jonathan D. Rich; Michael C. Brown; Abhijit Kadrolkar; Veronica Ramos; Robert W. Stadler; Nir Uriel; Claudius Mahr; Andrew J. Sauer

doi:10.1097/MAT.0000000000001509

A Power Tracking Algorithm for Early Detection of Centrifugal Flow Pump Thrombosis

Mark S. Slaughter^*, Thomas Schlöglhofer, Jonathan D. Rich, Michael C. Brown, Abhijit Kadrolkar, Veronica Ramos, Robert W. Stadler, Nir Uriel, Claudius Mahr, Andrew J. Sauer

^*Corresponding author for this work

Medicine, Cardiology Division

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

Logfiles from the HeartWare HVAD System provide operational pump trend data to aid in patient management. Pump thrombosis is commonly associated with increases in the logfile power that may precede the clinical presentation. A Power Tracking algorithm was developed to detect significant deviations in pump power that may be associated with pump thrombus (PT). The Power Tracking algorithm was applied retrospectively to logfiles captured in the ENDURANCE, ENDURANCE Supplemental, and LATERAL clinical trials. From a combined dataset of 896 patients, available logfiles with suspected PT (n = 70 events in 60 patients) and available logfiles from patients without adverse events (AEs) (n = 106 patients, consisting of 27.4 patient-years of monitoring) were organized into two cohorts. The Power Tracking algorithm detected PT cases on or before the recorded AE date with a sensitivity of 85.7%, with detection occurring an average of 3.9 days before clinical presentation. The algorithm averaged one false alarm for every 6.85 patient-years of monitoring from logfiles without AEs. The favorable performance of the Power Tracking algorithm may enable earlier detection of pump thrombosis and allow early medical management versus surgical intervention.

Original language	English (US)
Pages (from-to)	1018-1025
Number of pages	8
Journal	ASAIO Journal
Volume	67
Issue number	9
DOIs	https://doi.org/10.1097/MAT.0000000000001509
State	Published - Sep 1 2021

Funding

Disclosure: M.S. is a member of the Medtronic Steering Committee. T.S. is a consultant in Medtronic and Abbott; and received a research grant from Medtronic. J.D.R. is a consultant in Medtronic and Abbott. M.C.B., A.K., V.R., and R.W.S. are employees of Medtronic. N.U. received research grants from Abbott and Medtronic. C.M. is a consultant/investigator in Medtronic, Abbott, Abiomed, Carmat, and Syncardia. A.J.S. is a consultant for Medtronic, Abbott, and Boston Scientific; received research funding and steering committee from Medtronic, Abbott, and Boston Scientific.

Keywords

HVAD
algorithm
left-ventricular assist device
logfiles
power tracking
pump thrombosis

ASJC Scopus subject areas

Bioengineering
Biophysics
Biomedical Engineering
Biomaterials

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10.1097/MAT.0000000000001509

Cite this

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title = "A Power Tracking Algorithm for Early Detection of Centrifugal Flow Pump Thrombosis",

abstract = "Logfiles from the HeartWare HVAD System provide operational pump trend data to aid in patient management. Pump thrombosis is commonly associated with increases in the logfile power that may precede the clinical presentation. A Power Tracking algorithm was developed to detect significant deviations in pump power that may be associated with pump thrombus (PT). The Power Tracking algorithm was applied retrospectively to logfiles captured in the ENDURANCE, ENDURANCE Supplemental, and LATERAL clinical trials. From a combined dataset of 896 patients, available logfiles with suspected PT (n = 70 events in 60 patients) and available logfiles from patients without adverse events (AEs) (n = 106 patients, consisting of 27.4 patient-years of monitoring) were organized into two cohorts. The Power Tracking algorithm detected PT cases on or before the recorded AE date with a sensitivity of 85.7%, with detection occurring an average of 3.9 days before clinical presentation. The algorithm averaged one false alarm for every 6.85 patient-years of monitoring from logfiles without AEs. The favorable performance of the Power Tracking algorithm may enable earlier detection of pump thrombosis and allow early medical management versus surgical intervention.",

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AU - Mahr, Claudius

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AB - Logfiles from the HeartWare HVAD System provide operational pump trend data to aid in patient management. Pump thrombosis is commonly associated with increases in the logfile power that may precede the clinical presentation. A Power Tracking algorithm was developed to detect significant deviations in pump power that may be associated with pump thrombus (PT). The Power Tracking algorithm was applied retrospectively to logfiles captured in the ENDURANCE, ENDURANCE Supplemental, and LATERAL clinical trials. From a combined dataset of 896 patients, available logfiles with suspected PT (n = 70 events in 60 patients) and available logfiles from patients without adverse events (AEs) (n = 106 patients, consisting of 27.4 patient-years of monitoring) were organized into two cohorts. The Power Tracking algorithm detected PT cases on or before the recorded AE date with a sensitivity of 85.7%, with detection occurring an average of 3.9 days before clinical presentation. The algorithm averaged one false alarm for every 6.85 patient-years of monitoring from logfiles without AEs. The favorable performance of the Power Tracking algorithm may enable earlier detection of pump thrombosis and allow early medical management versus surgical intervention.

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A Power Tracking Algorithm for Early Detection of Centrifugal Flow Pump Thrombosis

Abstract

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Keywords

ASJC Scopus subject areas

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