Evidence map›Paper›PMID 35243438›Full record

ArticleHeart rhythm O22022

Novel ventricular tachyarrhythmia detection enhancement detects undertreated life-threatening arrhythmias.

Bruce L Wilkoff, Laurence D Sterns, Michael S Katcher, Gaurav Upadhyay, Peter Seizer, Chaoyi Kang, Jennifer Rhude, Kevin J Davis, Avi Fischer

Open access · goldAbstract read
In one paragraph

Article in Heart rhythm O2, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

9 authors at 7 institutions in 3 countries.

Bruce L WilkoffSydell and Arnold Miller Family Heart, Vascular, and Thoracic Institute - Robert and Suzanne Tomsich, Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio.
Laurence D SternsDivision of Cardiology, Royal Jubilee Hospital, Victoria, Canada.
Michael S KatcherMassachusetts General Brigham Salem Hospital, Salem, Massachusetts.
Gaurav UpadhyayCenter for Arrythmia Care, University of Chicago Medicine, Pritzker School of Medicine, Chicago, Illinois.
Peter SeizerDepartment for cardiology and angiology, Ostalbklinikum Aalen, Aalen, Germany.
Chaoyi KangAbbott, Sylmar, California.
Jennifer RhudeAbbott, Sylmar, California.
Kevin J DavisAbbott, Sylmar, California.
Avi FischerAbbott, Sylmar, California.
Abbott (United States) · USCleveland Clinic · USDanaher (United States) · USOstalb-Klinikum Aalen · DERoyal Jubilee Hospital · CASalem Hospital · USUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVentricular tachyarrhythmias (VTA) with low and varying signal amplitudes and morphologies may not be successfully identified utilizing traditional implantable cardioverter-defibrillator algorithms.

objectiveDevelop and validate a novel algorithm (VF Therapy Assurance, VFTA) to improve detection and timely delivery of high-voltage therapy (HVT) for these arrhythmias.

methodsArrhythmia detection was simulated on recorded VTA electrograms (EGMs) utilizing Abbott's Merlin.net database. EGMs where an HVT occurred only when VFTA was enabled, or where VFTA provided an HVT >30 seconds earlier than without VFTA, were readjudicated with physician review. As VFTA never prevents detection or therapy, EGMs where VFTA did not activate or alter HVT were not adjudicated.

resultsAmong 564,353 recorded VTA EGMs from 20,000 devices, VFTA altered HVT in 105 EGMs from 67 devices. Physician adjudication determined that 81.9% (86/105) of these EGMs were true undertreated VTA episodes and would have received appropriate HVT with VFTA enabled. Furthermore, 65% of the episodes (56/86) were ventricular fibrillation, were polymorphic, did not self-terminate during the recording window, or were not amenable antitachycardia pacing. Of those, 87.5% (49/56) would not have elicited HVT without VFTA. Overall, VFTA provided new or earlier appropriate HVT in 0.27% (53/20,000) of devices with an increase in inappropriate HVT in 0.07% (14/20,000) devices.

conclusionThe VFTA algorithm successfully identifies VTA missed by traditional detection algorithms, owing to undersensed ventricular signals resulting in the rate falling below the programmed detection rate. The use of VFTA increases the likelihood of delivering life-saving HVT.

Indexed as

Detection algorithmHigh-voltage therapyImplantable cardioverter-defibrillatorUndersensingVentricular tachyarrhythmia

Identifiers

PMID35243438
PMCPMC8859789
OpenAlexW3212546807

What OpenQuestion holds

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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.