Evidence map›Paper›PMID 40468565›Full record

ArticleJournal of cardiovascular electrophysiology2025

Real World Performance of an Individualized Antitachycardia Pacing Algorithm.

Troy Jackson, Raymond Yee, Robert Taepke, Alan Cheng, Ulrika Birgersdotter-Green, Yong-Mei Cha, Jagmeet Singh

Abstract read
In one paragraph

Article in Journal of cardiovascular electrophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

7 authors.

Troy JacksonMedtronic Inc., Mounds View, Minnesota, USA.ORCID 0009-0003-1102-0103
Raymond YeeDepartment of Medicine, Western University, London, Ontario, Canada.
Robert TaepkeMedtronic Inc., Mounds View, Minnesota, USA.
Alan ChengMedtronic Inc., Mounds View, Minnesota, USA.
Ulrika Birgersdotter-GreenDepartment of Medicine, Cardiovascular Institute La Jolla, University of California San Diego, San Diego, California, USA.ORCID 0000-0002-0473-1826
Yong-Mei ChaDepartment of Cardiovascular Medicine Rochester, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-5897-9464
Jagmeet SinghHarvard Medical School, Cardiac Arrhythmia Service Boston, Boston, Massachusetts, USA.

Funding

This study was supported by Medtronic.
6 · The paper itself

Abstract

backgroundA novel individualized antitachycardia pacing (IATP) algorithm using the post-pacing interval for real-time control has been introduced. Performance information is limited to a small safety and feasibility study with additional single-center and case studies. A larger-scale analysis is needed to better understand algorithm performance.

methodsDeidentified remote monitoring transmissions from devices with the IATP therapy applied were randomly selected. Rhythms were classified and effects of the novel algorithm were assessed. For monomorphic ventricular tachycardias (MVTs) proportions of successful therapy, shock-free episodes, and acceleration were calculated using generalized estimating equations to correct for multiple episodes and compute statistics of the algorithm's performance.

resultsThere were 2259 MVT episodes in 336 patients. IATP succeeded in 87.1% of MVT episodes with 89.9% of MVT episodes ultimately free of shock therapy. Based on multivariate analysis, significant factors in therapy success were programming of at least the recommended number of sequences (90% at least recommended vs 73%, p = 0.00088) and female sex (95% for females vs 86%, p = 0.002). A trend to higher success was found for MVT with a cycle length of 320 ms or greater (90% vs. 83%, p = 0.10). The IATP accelerated 3.6% of MVT episodes. None of the available factors was significantly associated with acceleration in the multivariate analysis.

conclusionsThe IATP algorithm succeeded in a large proportion of MVT episodes and with low acceleration in patients randomly selected from remote monitoring transmissions. Using at least the recommended number of sequences had the strongest association with successful therapy.

Indexed as

AlgorithmsCardiac Pacing, ArtificialHeart RateTachycardia, VentricularAction PotentialsAgedDefibrillators, ImplantableFemaleHumansMaleMiddle AgedPredictive Value of TestsSignal Processing, Computer-AssistedTime FactorsTreatment Outcomeantitachycardia pacingcardiac resynchronization therapy‐defibrillatorimplantable cardioverter‐defibrillatormonomorphic ventricular tachycardia

Identifiers

PMID40468565
PMCPMC12337625

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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.