Evidence map›Paper›PMID 24844628›Full record

ArticleAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2015

Fragmented QRS can predict severity of aortic stenosis.

Eser Açıkgöz, Belma Yaman, Sadık Kadri Açıkgöz, Salih Topal, Yusuf Tavil, Nuri Bulent Boyacı

Abstract read
In one paragraph

Article in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-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

14 citing papers in PubMed, 19 citations in OpenAlex.

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  7. Could fragmented QRS predict mortality in aortic stenosis patients after transcatheter aortic valve replacement?Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2019
    Article
  8. Electrocardiographic appearance of aortic stenosis before and after aortic valve replacement.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2017
    Article
  9. Evaluation of Tp-E Interval and Tp-E/QT Ratio in Patients with Aortic Stenosis.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2016
    Article
  10. Myocardial Fibrosis Is the Key Component of Hypertrophied Myocardium That Cause Fragmented QRS in Aortic Stenosis.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2015
    Article
  11. Presence of Fragmented QRS May Be Due to Higher Levels of Left Ventricle Mass in Patients with Severe Aortic Stenosis.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2015
    Article
  12. fQRS as a noninvasive marker for an overgrowing epidemy affecting both aortic valve and myocardium in the era of aging population.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2015
    Article
  13. Reply to the letter from Canpolat and colleagues.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2015
    Article
  14. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Eser AçıkgözCardiology Department, Gazi University Faculty of Medicine, Ankara, Turkey.
Belma Yaman
Sadık Kadri Açıkgöz
Salih Topal
Yusuf Tavil
Nuri Bulent Boyacı
Gazi University · TRTürkiye Yüksek İhtisas Hastanesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFragmented QRS (fQRS) is an indicator of nonhomogeneous ventricular activity caused by myocardial fibrosis. Aortic stenosis (AS) is known to be a cause of myocardial fibrosis. We aimed to investigate the relationship of fQRS with severity of AS, echocardiographic, and electrocardiographic findings, and development of atrial fibrillation and manifest heart failure in AS patients.

methodsOne hundred four patients with moderate and severe AS were recruited for the study. Patients with mitral or tricuspid stenosis, previous myocardial infarction, segmental wall motion abnormality or left ventricular ejection fraction (LVEF) below 50% and patients with complete-incomplete BBB and pacemaker rhythm were excluded.

resultsMean age of the patients was 69 ± 14.8 and 73.1% had fQRS. Patients with fQRS had lower LVEF, higher mean QRS duration, intrinsic deflection, Cornell voltage, Romhilt-Estes Score, systolic pulmonary artery pressure, mean and peak systolic transaortic gradients and left atrium diameter. Manifest heart failure was more frequent in patients with fQRS. In stepwise multivariate logistic regression analyze, manifest heart failure, peak systolic transaortic gradient, LVEF, intrinsic deflection, strain pattern and Cornell voltage were independently associated with fQRS. Strain pattern and fQRS were found as independent predictors of severe AS.

conclusionsfQRS is independently associated with the severity of AS while traditional LVH criteria, except strain pattern, are not. fQRS may be better than traditional ECG criteria of LVH and echocardiographic LVH as an indicator of myocardial fibrosis in AS. Thus, fQRS may have a role in determining the severity and prognosis of AS.

Indexed as

ElectrocardiographyAgedAortic Valve StenosisFemaleHumansMalePredictive Value of TestsReproducibility of ResultsSeverity of Illness Indexaortic valve stenosisfragmented QRSheart failuremyocardial fibrosis

Identifiers

PMID24844628
PMCPMC6931448
OpenAlexW1588119564

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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.