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

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 i...

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Autores principales: Slaughter, Mark S., Schlöglhofer, Thomas, Rich, Jonathan D., Brown, Michael C., Kadrolkar, Abhijit, Ramos, Veronica, Stadler, Robert W., Uriel, Nir, Mahr, Claudius, Sauer, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404954/
https://www.ncbi.nlm.nih.gov/pubmed/34225279
http://dx.doi.org/10.1097/MAT.0000000000001509
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author Slaughter, Mark S.
Schlöglhofer, Thomas
Rich, Jonathan D.
Brown, Michael C.
Kadrolkar, Abhijit
Ramos, Veronica
Stadler, Robert W.
Uriel, Nir
Mahr, Claudius
Sauer, Andrew J.
author_facet Slaughter, Mark S.
Schlöglhofer, Thomas
Rich, Jonathan D.
Brown, Michael C.
Kadrolkar, Abhijit
Ramos, Veronica
Stadler, Robert W.
Uriel, Nir
Mahr, Claudius
Sauer, Andrew J.
author_sort Slaughter, Mark S.
collection PubMed
description 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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spelling pubmed-84049542021-09-03 A Power Tracking Algorithm for Early Detection of Centrifugal Flow Pump Thrombosis Slaughter, Mark S. Schlöglhofer, Thomas Rich, Jonathan D. Brown, Michael C. Kadrolkar, Abhijit Ramos, Veronica Stadler, Robert W. Uriel, Nir Mahr, Claudius Sauer, Andrew J. ASAIO J Adult Circulatory Support 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. Lippincott Williams & Wilkins 2021-07-01 2021-09 /pmc/articles/PMC8404954/ /pubmed/34225279 http://dx.doi.org/10.1097/MAT.0000000000001509 Text en Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the ASAIO. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Adult Circulatory Support
Slaughter, Mark S.
Schlöglhofer, Thomas
Rich, Jonathan D.
Brown, Michael C.
Kadrolkar, Abhijit
Ramos, Veronica
Stadler, Robert W.
Uriel, Nir
Mahr, Claudius
Sauer, Andrew J.
A Power Tracking Algorithm for Early Detection of Centrifugal Flow Pump Thrombosis
title A Power Tracking Algorithm for Early Detection of Centrifugal Flow Pump Thrombosis
title_full A Power Tracking Algorithm for Early Detection of Centrifugal Flow Pump Thrombosis
title_fullStr A Power Tracking Algorithm for Early Detection of Centrifugal Flow Pump Thrombosis
title_full_unstemmed A Power Tracking Algorithm for Early Detection of Centrifugal Flow Pump Thrombosis
title_short A Power Tracking Algorithm for Early Detection of Centrifugal Flow Pump Thrombosis
title_sort power tracking algorithm for early detection of centrifugal flow pump thrombosis
topic Adult Circulatory Support
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404954/
https://www.ncbi.nlm.nih.gov/pubmed/34225279
http://dx.doi.org/10.1097/MAT.0000000000001509
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