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Data-driven monitoring in patients on left ventricular assist device support

Numan, Lieke; Moazeni, Mehran; Oerlemans, Marish IFJ; Aarts, Emmeke; Van Der Kaaij, Niels P; Asselbergs, Folkert W; Van Laake, Linda W; (2022) Data-driven monitoring in patients on left ventricular assist device support. Expert Review of Medical Devices , 19 (9) pp. 677-685. 10.1080/17434440.2022.2132147. Green open access

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Abstract

INTRODUCTION: Despite an increasing population of patients supported with a left ventricular assist device (LVAD), it remains a complex therapy, and patients are frequently admitted. Therefore, a strict follow-up including frequent hospital visits, patient self-management and telemonitoring is needed. AREAS COVERED: The current review describes the principles of LVADs, the possibilities of (tele)monitoring using noninvasive and invasive devices. Furthermore, possibilities, challenges, and future perspectives in this emerging field are discussed. EXPERT OPINION: Several studies described initial experiences on telemonitoring in LVAD patients, using mobile phone applications to collect clinical data and pump data. This may replace frequent hospital visits in near future. In addition, algorithms were developed aiming to early detect pump thrombosis or driveline infections. Since not all complications are reflected by pump parameters, data from different sources should be combined to detect a broader spectrum of complications in an early stage. We need to focus on the development of sophisticated but understandable algorithms and infrastructure combining different data sources, while addressing essential aspects such as data safety, privacy, and cost-effectiveness.

Type: Article
Title: Data-driven monitoring in patients on left ventricular assist device support
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1080/17434440.2022.2132147
Publisher version: https://doi.org/10.1080/17434440.2022.2132147
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: LVAD, Left ventricular assist device, algorithms, circadian rhythm, prediction, remote monitoring, Humans, Heart-Assist Devices, Heart Failure, Thrombosis, Cost-Benefit Analysis
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10158778
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