Evidence map›Paper›PMID 41211639›Full record

ArticlePacing and clinical electrophysiology : PACE2025

Algorithm Improvements in an Insertable Cardiac Monitor Reduce False Positives and Episode Review Burden.

Mark Richards, Molly Kupfer, Keith Herrmann, Deepa Mahajan, David Perschbacher, Abhijit Rajan, Vasanth Ravikumar, Martin Burke

Abstract read
In one paragraph

Article in Pacing and clinical electrophysiology : PACE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Mark RichardsBaylor Scott & White Arrhythmia Management, Plano, Texas, USA.
Molly KupferBoston Scientific Corporation, St. Paul, Minnesota, USA.ORCID 0009-0003-7163-7789
Keith HerrmannBoston Scientific Corporation, St. Paul, Minnesota, USA.
Deepa MahajanBoston Scientific Corporation, St. Paul, Minnesota, USA.
David PerschbacherBoston Scientific Corporation, St. Paul, Minnesota, USA.
Abhijit RajanBoston Scientific Corporation, St. Paul, Minnesota, USA.
Vasanth RavikumarBoston Scientific Corporation, St. Paul, Minnesota, USA.
Martin BurkeCorVita Science Foundation, Chicago, Illinois, USA.

Funding

by Boston Scientific Corporation
6 · The paper itself

Abstract

introductionThe use of insertable cardiac monitors (ICM) for arrhythmia monitoring continues to grow steadily. However, ICM performance remains less than perfect, and the volume of transmitted data poses a challenge to clinics. Here, we evaluate the impact of three improvements implemented in the LUX-Dx II+ ICM for atrial fibrillation (AF), pause, and bradycardia detection.

methodsEnhanced AF and pause algorithms were evaluated using real-world ECG data and compared against the predecessor LUX-Dx algorithms. Optimized nighttime (11 p.m.-7 a.m.) programming settings were simulated on LUX-Dx data to evaluate the reduction of non-actionable nocturnal bradycardia (>30 bpm) and pause (<5 s) detections.

resultsThe novel AF algorithm reduced false positives by 34% in the training dataset and 38% in the test dataset while maintaining >98% sensitivity relative to the legacy algorithm. False positive reduction and relative sensitivity were even higher (74% and 100%, respectively) in a subset of patients with more sensitive AF programming settings. The enhanced pause algorithm reduced false positives by 62.5% in the training set and 48.6% in the test set, while maintaining 100% relative sensitivity. Application of adjusted nocturnal detection thresholds reduced the number of nighttime bradycardia and pause episodes by 98% and 90%, corresponding to an overall episode reduction of 75% and 56%, respectively.

conclusionThe enhanced ICM algorithms and programming settings substantially reduced false positive AF and pause detections as well as non-actionable nighttime bradycardia and pause detections. These enhancements are expected to improve ICM performance and workflow in the device clinic.

Indexed as

AlgorithmsAtrial FibrillationBradycardiaElectrocardiography, AmbulatoryFalse Positive ReactionsFemaleHumansMalearrhythmiaatrial fibrillationbradycardiainsertable cardiac monitorpause

Identifiers

PMID41211639
PMCPMC12671473

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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.