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Activation of the HeartLogic algorithm on top of heart failure care: a multicenter propensity-matched cohort analysis
BACKGROUND: Hospitalization for decompensated heart failure may be prevented by early detection of fluid retention. The multisensory HeartLogic™ algorithm, incorporated in a cardiac implantable electronic device (CIED) aims to detect impending fluid retention and thereby enables timely adjustment of...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779858/ http://dx.doi.org/10.1093/ehjdh/ztac076.2800 |
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author | Feijen, M Beles, M Than, Y Z Cordon, A Dupont, M Treskes, R W Caputo, M Mullens, W Van Bokstal, K Auricchio, A Egorova, A D Maes, E Beeres, S L M A Heggermont, W A |
author_facet | Feijen, M Beles, M Than, Y Z Cordon, A Dupont, M Treskes, R W Caputo, M Mullens, W Van Bokstal, K Auricchio, A Egorova, A D Maes, E Beeres, S L M A Heggermont, W A |
author_sort | Feijen, M |
collection | PubMed |
description | BACKGROUND: Hospitalization for decompensated heart failure may be prevented by early detection of fluid retention. The multisensory HeartLogic™ algorithm, incorporated in a cardiac implantable electronic device (CIED) aims to detect impending fluid retention and thereby enables timely adjustment of medical therapy. However, it is to be investigated whether HeartLogic™ provides clinical benefit compared to heart failure care with conventional telemonitoring. This analysis investigates the effects of activating HeartLogic™ on top of heart failure care with telemonitoring on the number of episodes with fluid retention and heart failure related hospitalizations. METHODS: Heart failure patients with a CIED were recruited from the outpatient clinics of four European cardiology departments. All patients were included from January 2017 until December 2020, and followed-up for 365 days. Patients with a CIED and an activated HeartLogic™ algorithm were compared to a 1:1 propensity score-based matched control group consisting of patients with CIED on routine telemonitoring. Data of all episodes of (impending) fluid retention with ≥2 signs and symptoms of congestion were included for analyses. RESULTS: Data of 127 patients with an activated HeartLogic™ algorithm were adequately matched with 127 heart failure patients with a CIED on routine telemonitoring. Median age was 68 [59–75], majority of patients were male (80%), 46% had an ischemic etiology of heart failure. Total follow-up consisted of 254 patient years. During follow up, 77 (61%) individual patients with HeartLogic™ experienced an episode of fluid retention, compared to 85 (67%) induvial patients on routine telemonitoring. Patients with an activated HeartLogic™ algorithm had 1.62±1.78 events of fluid retention per patient year (PPY) compared to 2.61±3.71 events PPY in patients on routine telemonitoring, p<0.01 (Figure 1). Hospitalization for fluid retention occurred in 7 (6%) HeartLogic™ patients (0.06±0.27 hospitalizations PPY) compared to 13 (10%) patients on routine telemonitoring (0.15±0.45 PPY), p=0.07 (Figure 2A). Mean length of hospitalization in days PPY was 0.29±1.46 in patients with HeartLogic™ and 1.59±6.30 in patients on routine telemonitoring, p=0.02 (Figure 2B). CONCLUSION: In a real-world multicenter heart failure population, activation of the HeartLogic™ algorithm was associated with a lower number of episodes of fluid retention per patient and a shorter duration of hospitalization for congestive heart failure. FUNDING ACKNOWLEDGEMENT: Type of funding sources: None. |
format | Online Article Text |
id | pubmed-9779858 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97798582023-01-27 Activation of the HeartLogic algorithm on top of heart failure care: a multicenter propensity-matched cohort analysis Feijen, M Beles, M Than, Y Z Cordon, A Dupont, M Treskes, R W Caputo, M Mullens, W Van Bokstal, K Auricchio, A Egorova, A D Maes, E Beeres, S L M A Heggermont, W A Eur Heart J Digit Health Abstracts BACKGROUND: Hospitalization for decompensated heart failure may be prevented by early detection of fluid retention. The multisensory HeartLogic™ algorithm, incorporated in a cardiac implantable electronic device (CIED) aims to detect impending fluid retention and thereby enables timely adjustment of medical therapy. However, it is to be investigated whether HeartLogic™ provides clinical benefit compared to heart failure care with conventional telemonitoring. This analysis investigates the effects of activating HeartLogic™ on top of heart failure care with telemonitoring on the number of episodes with fluid retention and heart failure related hospitalizations. METHODS: Heart failure patients with a CIED were recruited from the outpatient clinics of four European cardiology departments. All patients were included from January 2017 until December 2020, and followed-up for 365 days. Patients with a CIED and an activated HeartLogic™ algorithm were compared to a 1:1 propensity score-based matched control group consisting of patients with CIED on routine telemonitoring. Data of all episodes of (impending) fluid retention with ≥2 signs and symptoms of congestion were included for analyses. RESULTS: Data of 127 patients with an activated HeartLogic™ algorithm were adequately matched with 127 heart failure patients with a CIED on routine telemonitoring. Median age was 68 [59–75], majority of patients were male (80%), 46% had an ischemic etiology of heart failure. Total follow-up consisted of 254 patient years. During follow up, 77 (61%) individual patients with HeartLogic™ experienced an episode of fluid retention, compared to 85 (67%) induvial patients on routine telemonitoring. Patients with an activated HeartLogic™ algorithm had 1.62±1.78 events of fluid retention per patient year (PPY) compared to 2.61±3.71 events PPY in patients on routine telemonitoring, p<0.01 (Figure 1). Hospitalization for fluid retention occurred in 7 (6%) HeartLogic™ patients (0.06±0.27 hospitalizations PPY) compared to 13 (10%) patients on routine telemonitoring (0.15±0.45 PPY), p=0.07 (Figure 2A). Mean length of hospitalization in days PPY was 0.29±1.46 in patients with HeartLogic™ and 1.59±6.30 in patients on routine telemonitoring, p=0.02 (Figure 2B). CONCLUSION: In a real-world multicenter heart failure population, activation of the HeartLogic™ algorithm was associated with a lower number of episodes of fluid retention per patient and a shorter duration of hospitalization for congestive heart failure. FUNDING ACKNOWLEDGEMENT: Type of funding sources: None. Oxford University Press 2022-12-22 /pmc/articles/PMC9779858/ http://dx.doi.org/10.1093/ehjdh/ztac076.2800 Text en Reproduced from: European Heart Journal, Volume 43, Issue Supplement_2, October 2022, ehac544.2800, https://doi.org/10.1093/eurheartj/ehac544.2800 by permission of Oxford University Press on behalf of the European Society of Cardiology. The opinions expressed in the Journal item reproduced as this reprint are those of the authors and contributors, and do not necessarily reflect those of the European Society of Cardiology, the editors, the editorial board, Oxford University Press or the organization to which the authors are affiliated. The mention of trade names, commercial products or organizations, and the inclusion of advertisements in this reprint do not imply endorsement by the Journal, the editors, the editorial board, Oxford University Press or the organization to which the authors are affiliated. The editors and publishers have taken all reasonable precautions to verify drug names and doses, the results of experimental work and clinical findings published in the Journal. The ultimate responsibility for the use and dosage of drugs mentioned in this reprint and in interpretation of published material lies with the medical practitioner, and the editors and publisher cannot accept liability for damages arising from any error or omissions in the Journal or in this reprint. Please inform the editors of any errors. © The Author(s) 2022. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Abstracts Feijen, M Beles, M Than, Y Z Cordon, A Dupont, M Treskes, R W Caputo, M Mullens, W Van Bokstal, K Auricchio, A Egorova, A D Maes, E Beeres, S L M A Heggermont, W A Activation of the HeartLogic algorithm on top of heart failure care: a multicenter propensity-matched cohort analysis |
title | Activation of the HeartLogic algorithm on top of heart failure care: a multicenter propensity-matched cohort analysis |
title_full | Activation of the HeartLogic algorithm on top of heart failure care: a multicenter propensity-matched cohort analysis |
title_fullStr | Activation of the HeartLogic algorithm on top of heart failure care: a multicenter propensity-matched cohort analysis |
title_full_unstemmed | Activation of the HeartLogic algorithm on top of heart failure care: a multicenter propensity-matched cohort analysis |
title_short | Activation of the HeartLogic algorithm on top of heart failure care: a multicenter propensity-matched cohort analysis |
title_sort | activation of the heartlogic algorithm on top of heart failure care: a multicenter propensity-matched cohort analysis |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779858/ http://dx.doi.org/10.1093/ehjdh/ztac076.2800 |
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