ArticleEuropean heart journal. Case reports2021
Novel findings of respiratory rate increases using the multisensor HeartLogic heart failure monitoring algorithm in COVID-19-positive patients: a case series.
Article in European heart journal. Case reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- PRecision Event Monitoring for PatienTs with Heart Failure using HeartLogic (PREEMPT-HF) study design and enrolment.ESC heart failure · 2023Observational
- Detecting early physiologic changes through cardiac implantable electronic device data among patients with COVID-19.Cardiovascular digital health journal · 2022Article
- A reproducible sensor pattern to suspect COVID19 pulmonary infection with LATITUDE. Case report and literature review.Pacing and clinical electrophysiology : PACE · 2022Review
- Multiparameter diagnostic sensor measurements in heart failure patients presenting with SARS-CoV-2 infection.ESC heart failure · 2021Article
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Authors and funding
2 authors.
Funding
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Abstract
backgroundWith 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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