Evidence map›Paper›PMID 37178633›Full record

ArticleJournal of electrocardiology

Electrocardiographic prediction of left ventricular hypertrophy in women and men with left bundle branch block - Comparison of QRS duration, amplitude and voltage-time-integral.

Ashley DeBauge, Tyan Fairbank, Christopher J Harvey, Sagar Ranka, Sania Jiwani, Seth H Sheldon, Madhu Reddy, Timothy A Beaver, Amit Noheria

Open access · hybridAbstract read
In one paragraph

Article in Journal of electrocardiology. 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
2.4field-weighted citation impact, top 10% 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, 11 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 3 institutions in 1 country.

Ashley DeBaugeThe University of Kansas School of Medicine, Kansas City, KS, United States of America.
Tyan FairbankThe University of Kansas School of Medicine, Kansas City, KS, United States of America.
Christopher J HarveyDepartment of Cardiovascular Medicine, The University of Kansas Medical Center, Kansas City, KS, United States of America.
Sagar RankaDivision of Cardiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
Sania JiwaniDepartment of Cardiovascular Medicine, The University of Kansas Medical Center, Kansas City, KS, United States of America.
Seth H SheldonDepartment of Cardiovascular Medicine, The University of Kansas Medical Center, Kansas City, KS, United States of America.
Madhu ReddyDepartment of Cardiovascular Medicine, The University of Kansas Medical Center, Kansas City, KS, United States of America.
Timothy A BeaverDepartment of Cardiovascular Medicine, The University of Kansas Medical Center, Kansas City, KS, United States of America.
Amit NoheriaDepartment of Cardiovascular Medicine, The University of Kansas Medical Center, Kansas City, KS, United States of America. Electronic address: noheriaa@gmail.com.
University of Kansas Medical Center · USUniversity of Kansas · USIcahn School of Medicine at Mount Sinai · US

Funding

RADx-UP: Improving the Response of Local Urban and Rural Communities to Disparities in Covid-19 TestingUL1TR002366 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Mario Castro, JAMES STEVEN LEEDER · 2017 to 2026
$44.3M
NCATS NIH HHS UL1 TR002366
6 · The paper itself

Abstract

backgroundStandard ECG criteria for left ventricular (LV) hypertrophy rely on QRS amplitudes. However, in the setting of left bundle branch block (LBBB), ECG correlates of LV hypertrophy are not well established. We sought to evaluate quantitative ECG predictors of LV hypertrophy in the presence of LBBB.

methodsWe included adult patients with typical LBBB having ECG and transthoracic echocardiogram performed within 3 months of each other in 2010-2020. Orthogonal X, Y, Z leads were reconstructed from digital 12‑lead ECGs using Kors's matrix. In addition to QRS duration, we evaluated QRS amplitudes and voltage-time-integrals (VTIs) from all 12 leads, X, Y, Z leads and 3D (root-mean-squared) ECG. We used age, sex and BSA-adjusted linear regressions to predict echocardiographic LV calculations (mass, end-diastolic and end-systolic volumes, ejection fraction) from ECG, and separately generated ROC curves for predicting echocardiographic abnormalities.

resultsWe included 413 patients (53% women, age 73 ± 12 years). All 4 echocardiographic LV calculations were most strongly correlated with QRS duration (all p < 0.00001). In women, QRS duration ≥ 150 ms had sensitivity/specificity 56.3%/64.4% for increased LV mass and 62.7%/67.8% for increased LV end-diastolic volume. In men, QRS duration ≥ 160 ms had a sensitivity/specificity 63.1%/72.1% for increased LV mass and 58.3%/74.5% for increased LV end-diastolic volume. QRS duration was best able to discriminate eccentric hypertrophy (area under ROC curve 0.701) and increased LV end-diastolic volume (0.681).

conclusionsIn patients with LBBB, QRS duration (≥ 150 in women and ≥ 160 in men) is a superior predictor of LV remodeling esp. eccentric hypertrophy and dilation.

Indexed as

ElectrocardiographyHypertrophy, Left VentricularAdultAgedAged, 80 and overBundle-Branch BlockEchocardiographyFemaleHumansMaleMiddle AgedSensitivity and SpecificityECGLeft bundle branch blockLeft ventricular dilationLeft ventricular hypertrophyLeft ventricular remodelingQRS amplitudeQRS areaQRS durationQRS voltage-time-integral

Identifiers

PMID37178633
PMCPMC10846562
OpenAlexW4323922788

What OpenQuestion holds

Textmetadata
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.