Evidence map›Paper›PMID 38390808›Full record

ArticleJournal of the American Heart Association2024

Monitoring of Remotely Reprogrammable Implantable Loop Recorders With Algorithms to Reduce False-Positive Alerts.

Zachary M Neiman, Merritt H Raitt, Gregory Rohrbach, Sanket S Dhruva

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.4field-weighted citation impact, top 3% of its field
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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. A randomized controlled trial of remote monitoring for cardiac implantable loop recorders: stay-away trial.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026
    Article
  2. Review
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  9. Implantation of a novel insertable cardiac monitor: preliminary multicenter experience in Europe.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2024
    Review
  10. Observational
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

4 authors at 3 institutions in 1 country.

Zachary M NeimanUniversity of California, San Francisco School of Medicine San Francisco CA USA.ORCID 0000-0002-7428-2923
Merritt H RaittPortland Veterans Affairs Health Care System Knight Cardiovascular Institute, Oregon Health and Sciences University Portland OR USA.ORCID 0000-0001-5638-7732
Gregory RohrbachSan Francisco Veterans Affairs Medical Center San Francisco CA USA.ORCID 0009-0007-1730-996X
Sanket S DhruvaUniversity of California, San Francisco School of Medicine San Francisco CA USA.ORCID 0000-0003-0674-2032
San Francisco VA Medical Center · USUniversity of California, San Francisco · USVA Portland Health Care System · US

Funding

Improving Safety of Cardiovascular Implantable Electronic Devices in VeteransIK2HX003357 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI Sanket S Dhruva · 2022 to 2026
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HSRD VA IK2 HX003357
6 · The paper itself

Abstract

backgroundImplantable loop recorders (ILRs) are increasingly placed for arrhythmia detection. However, historically, ≈75% of ILR alerts are false positives, requiring significant time and effort for adjudication. The LINQII and LUX-Dx are remotely reprogrammable ILRs with dual-stage algorithms using artificial intelligence to reduce false positives, but their utility in routine clinical practice has not been studied. METHODS AND

resultsWe identified patients with the LINQII and LUX-Dx who were monitored by the Veterans Affairs National Cardiac Device Surveillance Program between March and June 2022. ILR programming was customized on the basis of implant indication. All alerts and every 90-day scheduled transmissions were manually reviewed. ILRs were remotely reprogrammed, as appropriate, after false-positive alerts or 2 consecutive same-type alerts, unless there was ongoing clinical need for that alert. Outcomes were total number of transmissions and false positives. We performed medical record review to determine if patients experienced any adverse clinical events, including hospitalization and mortality. Among 117 LINQII patients, there were 239 total alerts, 43 (18.0%) of which were false positives. Among 105 LUX-Dx patients, there were 300 total alerts, 115 (38.3%) of which were false positives. LINQIIs were reprogrammed 22 times, resulting in a decrease in median alerts/day from 0.13 to 0.03. LUX-Dx ILRs were reprogrammed 52 times, resulting in a decrease from 0.15 to 0.01 median alerts/day. There were no adverse clinical events that could have been identified by superior or earlier arrhythmia detection.

conclusionsILRs with artificial intelligence algorithms and remote reprogramming ability are associated with reduced alert burden because of higher true-positive rates than prior ILRs, without missing potentially consequential arrhythmias.

Indexed as

Arrhythmias, CardiacArtificial IntelligenceAlgorithmsEarly DiagnosisElectrocardiography, AmbulatoryHumansProstheses and Implantsalertsartificial intelligenceimplantable loop recordersremote monitoringreprogramming

Identifiers

PMID38390808
PMCPMC10944033
OpenAlexW4392110303

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.