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Novel findings of respiratory rate increases using the multisensor HeartLogic heart failure monitoring algorithm in COVID-19-positive patients: a case series

BACKGROUND: With the ongoing coronavirus disease 2019 (COVID-19) epidemic, remote monitoring of patients with implanted cardiac devices has become more important than ever, as physical distancing measures have placed limits on in-clinic device monitoring. Remote monitoring alerts, particularly those...

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Detalles Bibliográficos
Autores principales: Yapejian, Andrea Rebecca, Fudim, Marat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7896811/
https://www.ncbi.nlm.nih.gov/pubmed/33644668
http://dx.doi.org/10.1093/ehjcr/ytab067
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author Yapejian, Andrea Rebecca
Fudim, Marat
author_facet Yapejian, Andrea Rebecca
Fudim, Marat
author_sort Yapejian, Andrea Rebecca
collection PubMed
description BACKGROUND: With the ongoing coronavirus disease 2019 (COVID-19) epidemic, remote monitoring of patients with implanted cardiac devices has become more important than ever, as physical distancing measures have placed limits on in-clinic device monitoring. Remote monitoring alerts, particularly those associated with heart failure trends, have proved useful in guiding care in regard to monitoring fluid status and adjusting heart failure medications. CASE SUMMARY: This report describes use of Boston Scientific’s HeartLogic algorithm, which is a multisensor device algorithm in implantable cardioverter-defibrillator devices that is proven to be an early predictor of heart failure decompensation by measuring several variables, including respiratory rate, nighttime heart rate, and heart sounds. We present three cases of patients who were actively surveilled by the various HeartLogic device algorithm sensors and were identified to have increasing respiratory rates high enough to trigger a HeartLogic alert prior to a positive COVID-19 diagnosis. DISCUSSION: We propose that the HeartLogic algorithm and its accompanying individual physiologic sensors demonstrate potential for use in identifying non-heart failure-related decompensation, such as COVID-19-positive diagnoses.
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spelling pubmed-78968112021-02-25 Novel findings of respiratory rate increases using the multisensor HeartLogic heart failure monitoring algorithm in COVID-19-positive patients: a case series Yapejian, Andrea Rebecca Fudim, Marat Eur Heart J Case Rep Case Series BACKGROUND: With the ongoing coronavirus disease 2019 (COVID-19) epidemic, remote monitoring of patients with implanted cardiac devices has become more important than ever, as physical distancing measures have placed limits on in-clinic device monitoring. Remote monitoring alerts, particularly those associated with heart failure trends, have proved useful in guiding care in regard to monitoring fluid status and adjusting heart failure medications. CASE SUMMARY: This report describes use of Boston Scientific’s HeartLogic algorithm, which is a multisensor device algorithm in implantable cardioverter-defibrillator devices that is proven to be an early predictor of heart failure decompensation by measuring several variables, including respiratory rate, nighttime heart rate, and heart sounds. We present three cases of patients who were actively surveilled by the various HeartLogic device algorithm sensors and were identified to have increasing respiratory rates high enough to trigger a HeartLogic alert prior to a positive COVID-19 diagnosis. DISCUSSION: We propose that the HeartLogic algorithm and its accompanying individual physiologic sensors demonstrate potential for use in identifying non-heart failure-related decompensation, such as COVID-19-positive diagnoses. Oxford University Press 2021-02-20 /pmc/articles/PMC7896811/ /pubmed/33644668 http://dx.doi.org/10.1093/ehjcr/ytab067 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology. http://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 (http://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 Case Series
Yapejian, Andrea Rebecca
Fudim, Marat
Novel findings of respiratory rate increases using the multisensor HeartLogic heart failure monitoring algorithm in COVID-19-positive patients: a case series
title Novel findings of respiratory rate increases using the multisensor HeartLogic heart failure monitoring algorithm in COVID-19-positive patients: a case series
title_full Novel findings of respiratory rate increases using the multisensor HeartLogic heart failure monitoring algorithm in COVID-19-positive patients: a case series
title_fullStr Novel findings of respiratory rate increases using the multisensor HeartLogic heart failure monitoring algorithm in COVID-19-positive patients: a case series
title_full_unstemmed Novel findings of respiratory rate increases using the multisensor HeartLogic heart failure monitoring algorithm in COVID-19-positive patients: a case series
title_short Novel findings of respiratory rate increases using the multisensor HeartLogic heart failure monitoring algorithm in COVID-19-positive patients: a case series
title_sort novel findings of respiratory rate increases using the multisensor heartlogic heart failure monitoring algorithm in covid-19-positive patients: a case series
topic Case Series
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7896811/
https://www.ncbi.nlm.nih.gov/pubmed/33644668
http://dx.doi.org/10.1093/ehjcr/ytab067
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