Evidence map›Paper›PMID 42027030›Full record

ArticleJournal of cardiovascular electrophysiology2026

Impact of Emergent Physician Notifications from Mobile Cardiac Outpatient Telemetry on Patient Outcomes (The EP-COT Trial).

David Lin, Sanchit Kumar, Khurram Butt, Jake Klewer, Mahesh Balakrishnan, Alvaro Altamirano, Aaron Vigdor, Andrea Schell, Purvee Parikh, C J Grigoriadis and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of cardiovascular electrophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

David LinDepartment of Medicine, Cardiovascular Division, Electrophysiology Section, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-0820-5049
Sanchit KumarDepartment of Medicine, Cardiovascular Division, Electrophysiology Section, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-3994-9793
Khurram ButtDepartment of Medicine, Cardiovascular Division, Electrophysiology Section, Banner-University Medical Center, Sarver Heart Center, University of Arizona College of Medicine, Tucson, Arizona, USA.
Jake KlewerDepartment of Medicine, Cardiovascular Division, Electrophysiology Section, Banner-University Medical Center, Sarver Heart Center, University of Arizona College of Medicine, Tucson, Arizona, USA.
Mahesh BalakrishnanDepartment of Medicine, Cardiovascular Division, Electrophysiology Section, Banner-University Medical Center, Sarver Heart Center, University of Arizona College of Medicine, Tucson, Arizona, USA.
Alvaro AltamiranoDepartment of Medicine, Cardiovascular Division, Electrophysiology Section, Banner-University Medical Center, Sarver Heart Center, University of Arizona College of Medicine, Tucson, Arizona, USA.
Aaron VigdorDepartment of Medicine, Cardiovascular Division, Electrophysiology Section, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Andrea SchellDepartment of Medicine, Cardiovascular Division, Electrophysiology Section, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Purvee ParikhPhilips Ambulatory Monitoring and Diagnostics, San Diego, California, USA.
C J GrigoriadisPhilips Ambulatory Monitoring and Diagnostics, San Diego, California, USA.
Manish WadhwaPhilips Ambulatory Monitoring and Diagnostics, San Diego, California, USA.
Mathew D HutchinsonDepartment of Medicine, Cardiovascular Division, Electrophysiology Section, Banner-University Medical Center, Sarver Heart Center, University of Arizona College of Medicine, Tucson, Arizona, USA.

Funding

Pennsylvania Steel Company EP Research FundPhilips
6 · The paper itself

Abstract

introductionMobile ambulatory cardiac telemetry (MCOT) use has increased over time; however, data on the prevalence and the impact of emergent arrhythmia notifications with MCOT remains unclear. We sought to determine the prevalence and clinical impact of emergent arrhythmia events in patients undergoing MCOT monitoring. We also analyzed the efficiency of the emergent notification process.

methodsWe analyzed 8404 consecutive patients from two centers who were prescribed Philips MCOT (K153473) over a 28-month period (September 2018-January 2021). Participants meeting emergent notification criteria were included. The primary outcome was any unscheduled provider intervention after the emergent notification. We also analyzed several time domains of the provider notification process.

resultsA total of 122 patients (1.45%) satisfied emergent notification criteria during the study period. The median notification time from arrhythmia onset to provider notification was 42 min. Physician review of the arrhythmia notifications showed agreement with the monitoring technician diagnosis in 102/122 (83.6%). An emergent notification resulted in an unscheduled follow-up visit in 104/122 (85.2%) patients. Time from arrhythmia event to unscheduled follow up visit was < 24 h in 88/104 (84.6%), 24-72 h in 9/104 (8.7%) and > 72 h in 7/104 (6.7%). In 33 patients (27%), emergent notifications resulted in unscheduled interventions including: device implantation (24), ablation (8), and electrical cardioversion (4).

conclusionsEmergent arrhythmias events recorded during ambulatory telemetry monitoring resulted in unscheduled patient contact in 85% of cases and procedures in 27% of cases. The monitoring notification process was efficient, with median time from arrhythmia onset to provider notification of 42 min.

Indexed as

Arrhythmias, CardiacElectrocardiography, AmbulatoryHeart RateTelemetryAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsRemote Patient MonitoringTime Factorsarrhythmiaemergent notificationremote monitoringtelemetry

Identifiers

PMID42027030
PMCPMC13269860

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.