Determining the optimal duration for premature ventricular contraction monitoring.


Journal

Heart rhythm
ISSN: 1556-3871
Titre abrégé: Heart Rhythm
Pays: United States
ID NLM: 101200317

Informations de publication

Date de publication:
12 2020
Historique:
received: 05 05 2020
revised: 30 06 2020
accepted: 01 07 2020
pubmed: 18 7 2020
medline: 30 9 2021
entrez: 18 7 2020
Statut: ppublish

Résumé

Premature ventricular contractions (VPC) have hour-to-hour and day-to-day variation. High VPC burden correlates with cardiomyopathy. To determine the optimal duration for ambulatory electrocardiogram monitoring for accurate assessment of VPC burden. Our group performed a retrospective analysis on patch monitors used for any indication with overall VPC burden ≥5.0% between February 1, 2016, and February 1, 2020. We generated cumulative daily VPC averages for each day of wear and performed linear regression analysis between each cumulative daily average and overall burden. Patients were divided into groups based on low or high VPC frequency, and the analysis was repeated. Split-sample validation was used to internally validate the overall prediction model. A total of 116 patches representing 107 patients (mean age: 64.5; female: 48%) were analyzed. Mean overall VPC burden was 13.4% ± 7.5% (range: 5.0%-42.0%). Day 1 R Mobile telemetry for a period of ∼7 days accurately reflects overall VPC burden. Measurement of VPC burden for only 24-48 hours may not accurately reflect total burden. Monitoring for 2 weeks or longer adds little additional VPC information.

Sections du résumé

BACKGROUND
Premature ventricular contractions (VPC) have hour-to-hour and day-to-day variation. High VPC burden correlates with cardiomyopathy.
OBJECTIVE
To determine the optimal duration for ambulatory electrocardiogram monitoring for accurate assessment of VPC burden.
METHODS
Our group performed a retrospective analysis on patch monitors used for any indication with overall VPC burden ≥5.0% between February 1, 2016, and February 1, 2020. We generated cumulative daily VPC averages for each day of wear and performed linear regression analysis between each cumulative daily average and overall burden. Patients were divided into groups based on low or high VPC frequency, and the analysis was repeated. Split-sample validation was used to internally validate the overall prediction model.
RESULTS
A total of 116 patches representing 107 patients (mean age: 64.5; female: 48%) were analyzed. Mean overall VPC burden was 13.4% ± 7.5% (range: 5.0%-42.0%). Day 1 R
CONCLUSION
Mobile telemetry for a period of ∼7 days accurately reflects overall VPC burden. Measurement of VPC burden for only 24-48 hours may not accurately reflect total burden. Monitoring for 2 weeks or longer adds little additional VPC information.

Identifiants

pubmed: 32679267
pii: S1547-5271(20)30667-6
doi: 10.1016/j.hrthm.2020.07.013
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2119-2125

Informations de copyright

Copyright © 2020 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Auteurs

Brian C Hsia (BC)

Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine & Montefiore Medical Center, Bronx, New York.

Nicolas Greige (N)

Harold and Muriel Block Institute for Clinical and Translational Research, Albert Einstein College of Medicine & Montefiore Medical Center, Bronx, New York.

Shreyans K Patel (SK)

Department of Medicine, Albert Einstein College of Medicine & Montefiore Medical Center, Bronx, New York.

Rachel M Clark (RM)

Department of Medicine, Albert Einstein College of Medicine & Montefiore Medical Center, Bronx, New York.

Kevin J Ferrick (KJ)

Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine & Montefiore Medical Center, Bronx, New York.

John D Fisher (JD)

Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine & Montefiore Medical Center, Bronx, New York.

Jay Gross (J)

Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine & Montefiore Medical Center, Bronx, New York.

Luigi Di Biase (L)

Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine & Montefiore Medical Center, Bronx, New York.

Andrew Krumerman (A)

Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine & Montefiore Medical Center, Bronx, New York. Electronic address: akrumerm@montefiore.org.

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