Evidence map›Paper›PMID 37337809›Full record

ArticleJournal of Korean medical science2023

Predictive Value of Electromechanical Window for Risk of Fatal Ventricular Arrhythmia.

Tae-Min Rhee, Hyo-Jeong Ahn, Sunhwa Kim, So-Ryoung Lee, Eue-Keun Choi, Seil Oh

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Electromechanical window as an integrative marker of remodeling and arrhythmic risk in biventricular vs. left bundle branch area pacing.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2026
    Article
  4. Review
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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

6 authors.

Tae-Min RheeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-0504-0736
Hyo-Jeong AhnDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0003-3590-0378
Sunhwa KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-3660-8769
So-Ryoung LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-6351-5015
Eue-Keun ChoiDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-0411-6372
Seil OhDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea. seil@snu.ac.kr.ORCID https://orcid.org/0000-0002-2504-9615

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs an indicator of electro-mechanical coupling, electromechanical window (EMW) can be used to predict fatal ventricular arrhythmias. We investigated the additive effect of EMW on the prediction of fatal ventricular arrhythmias in high-risk patients.

methodsWe included patients who had implantable cardioverter-defibrillator (ICD) implanted for primary or secondary prevention. The event group was defined as those who received an appropriate ICD therapy. We acquired echocardiograms at ICD implantation and follow-up. The EMW was calculated as the difference between the interval from QRS onset to aortic valve closure and QT interval from the electrocardiogram embedded in the continuous wave doppler image. We evaluated the predictive value of EMW for predicting fatal ventricular arrhythmia.

resultsOf 245 patients (67.2 ± 12.8 years, 63.7% men), the event group was 20.0%. EMW at baseline (EMW-Baseline) and follow-up (EMW-FU) was significantly different between event and control groups. After adjustment, both EMW-Baseline (odds ratio [OR]

conclusionThe EMW could effectively predict severe ventricular arrhythmia in ICD implanted patients. This finding supports the importance of incorporating the electro-mechanical coupling index into the clinical practice for predicting future fatal arrhythmia events.

Indexed as

Arrhythmias, CardiacDefibrillators, ImplantableDeath, Sudden, CardiacEchocardiographyElectrocardiographyFemaleHumansMaleRisk FactorsEchocardiographyElectromechanical WindowImplantable Cardioverter-DefibrillatorSudden Cardiac DeathVentricular Arrhythmia

Identifiers

PMID37337809
PMCPMC10279514

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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.