Cited by 498ECG Monitoring and AnalysisNon-Invasive Vital Sign MonitoringCardiac pacing and defibrillation studies

Comparison of 24-hour holter monitoring with 14-day novel adhesive patch electrocardiographic monitoring

Open access
Barrett, Paddy M., Komatireddy, Ravi, Haaser, Sharon, Topol, Sarah, Sheard, Judith, Encinas, Jackie, Fought, Angela J., Topol, Eric J.·2014·The American Journal of Medicine

Abstract

BACKGROUND: Cardiac arrhythmias are remarkably common and routinely go undiagnosed because they are often transient and asymptomatic. Effective diagnosis and treatment can substantially reduce the morbidity and mortality associated with cardiac arrhythmias. The Zio Patch (iRhythm Technologies, Inc, San Francisco, Calif) is a novel, single-lead electrocardiographic (ECG), lightweight, Food and Drug Administration-cleared, continuously recording ambulatory adhesive patch monitor suitable for detecting cardiac arrhythmias in patients referred for ambulatory ECG monitoring. METHODS: A total of 146 patients referred for evaluation of cardiac arrhythmia underwent simultaneous ambulatory ECG recording with a conventional 24-hour Holter monitor and a 14-day adhesive patch monitor. The primary outcome of the study was to compare the detection arrhythmia events over total wear time for both devices. Arrhythmia events were defined as detection of any 1 of 6 arrhythmias, including supraventricular tachycardia, atrial fibrillation/flutter, pause greater than 3 seconds, atrioventricular block, ventricular tachycardia, or polymorphic ventricular tachycardia/ventricular fibrillation. McNemar's tests were used to compare the matched pairs of data from the Holter and the adhesive patch monitor. RESULTS: Over the total wear time of both devices, the adhesive patch monitor detected 96 arrhythmia events compared with 61 arrhythmia events by the Holter monitor (P < .001). CONCLUSIONS: Over the total wear time of both devices, the adhesive patch monitor detected more events than the Holter monitor. Prolonged duration monitoring for detection of arrhythmia events using single-lead, less-obtrusive, adhesive-patch monitoring platforms could replace conventional Holter monitoring in patients referred for ambulatory ECG monitoring.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.amjmed.2013.10.003

Cites

20 of 20 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Patch monitors and MCT are the most complete outpatient ECG recording and increase the likelihood for detecting AF, and can provide accurate representation of AF burden for the duration of recording.

    “Patch monitors and MCT are the most complete outpatient ECG recording and increase the likelihood for detecting AF, and can provide accurate representation of AF burden for the duration of recording (Barrett et al., 2014;Rosenberg et al., 2013;Rothman et al., 2007;Turakhia et al., 2013;Schreiber et al., 2014).”

    From 2017 ISHNE-HRS expert consensus statement on ambulatory ECG and external cardiac monitoring/telemetry (2017) · cites this paper as Barrett et al., 2014

    The Results and Discussion report that the continuously recording adhesive patch detected more arrhythmia events than a 24-hour Holter monitor, including additional episodes of atrial fibrillation during extended monitoring. The paper does not establish that patch monitors and MCT are the most complete outpatient ECG options, evaluate MCT, or demonstrate an accurate measure of AF burden over the recording period. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Ambulatory ECG monitoring can establish a diagnosis or make a symptom-rhythm correlation, with longer term monitoring resulting in higher yield.

    “Ambulatory ECG monitoring can be considered to establish a diagnosis or make a symptom-rhythm correlation, with longer term monitoring resulting in higher yield [1,4] .( Table 2 )”

    From Evaluating and managing bradycardia (2020) · cites this paper as [4]

  • Wearable monitors can be as effective or even exceed conventional Holter monitoring to detect arrhythmias owing to their convenient usability over longer periods of time.

    “Although most of these devices are only single lead, they can be as effective or even exceed the ability of conventional Holter monitoring to detect arrhythmias owing to their convenient usability over longer periods of time55,56.”
  • Several patient-operated devices and extended continuous ECG monitoring using skin patch recorders have been validated for detection of paroxysmal AF.

    “Several patientoperated devices 136,137 and extended continuous ECG monitoring using skin patch recorders 138 have been validated for detection of paroxysmal AF. 139”
  • Our study examined a more recent time period than prior investigations of long-term continuous monitors and suggests that changes in the device technology and accumulated operator experience may have resulted in improved patient compliance.

    “Our study examined a more recent time period than prior investigations of long-term continuous monitors [5, 9] and suggests that changes in the device technology and accumulated operator experience may have resulted in improved patient compliance.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Barrett, P. M., Komatireddy, R., Haaser, S., Topol, S., Sheard, J., Encinas, J., Fought, A. J., & Topol, E. J.
Affiliations
Scripps Health (US)
Corresponding author
Topol, Eric J.
Venue
The American Journal of Medicine
Publisher
Elsevier BV
Published
2014-01
Volume
127
Issue
1
Pages
95.e11-95.e17
ISSN
0002-9343 (ISSN-L)
OpenAlex
W2079951953
Cited by
498
References
20
Citations by year
2026: 35 · 2025: 37 · 2024: 37 · 2023: 33 · 2022: 51 · 2021: 62 · 2020: 38 · 2019: 50 · 2018: 54 · 2017: 50 · 2016: 24 · 2015: 16 · 2014: 9
FWCI
11.09
Type
journal article
Language
en
Open access
Locations
  • The American Journal of Medicine (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Center for Advancing Translational Sciences (NCT01559246, UL1 TR000109)
  • National Institutes of Health
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac pacing and defibrillation studies
Keywords
arrhythmia detection, 24-hour Holter monitoring, Holter monitoring, single-lead ECG, atrial fibrillation, supraventricular tachycardia, ventricular tachycardia, atrioventricular block
MeSH terms
Adhesives, Adult, Aged, Arrhythmias, Cardiac, Atrial Fibrillation, Atrial Flutter, Electrocardiography, Equipment Design, Female, Humans, Male, Middle Aged, Tachycardia, Supraventricular, Time Factors, Ventricular Fibrillation, Electrocardiography, Ambulatory, Patient Satisfaction, Tachycardia, Ventricular, Atrioventricular Block

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review