Evidence map›Paper›PMID 31113440›Full record

ArticleCardiovascular ultrasound2019

The Association of a classical left bundle Branch Block Contraction Pattern by vendor-independent strain echocardiography and outcome after cardiac resynchronization therapy.

Kasper Emerek, Daniel J Friedman, Peter L Sørensen, Steen M Hansen, Jacob M Larsen, Niels Risum, Anna Margrethe Thøgersen, Claus Graff, Brett D Atwater, Joseph Kisslo and 1 more

Abstract read
In one paragraph

Article in Cardiovascular ultrasound, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

11 authors.

Kasper EmerekDepartment of Medicine, Division of Cardiology, Duke University Hospital, Durham, NC, USA. kjge@rn.dk.ORCID http://orcid.org/0000-0002-5194-2044
Daniel J FriedmanDepartment of Medicine, Division of Cardiology, Duke University Hospital, Durham, NC, USA.
Peter L SørensenDepartment of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Steen M HansenUnit of Epidemiology and Biostatistics, Aalborg University Hospital, Aalborg, Denmark.
Jacob M LarsenDepartment of Cardiology, Aalborg University Hospital, Aalborg, Denmark.
Niels RisumDepartment of Cardiology, Rigshospitalet, Copenhagen, Denmark.
Anna Margrethe ThøgersenDepartment of Cardiology, Aalborg University Hospital, Aalborg, Denmark.
Claus GraffDepartment of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Brett D AtwaterDepartment of Medicine, Division of Cardiology, Duke University Hospital, Durham, NC, USA.
Joseph KissloDepartment of Medicine, Division of Cardiology, Duke University Hospital, Durham, NC, USA.
Peter SøgaardDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark.

Funding

Postdoctoral Training in Cardiovascular Clinical ResearchT32HL069749 · NHLBI · DUKE UNIVERSITY · PI MARK, DANIEL B · 2003 to 2023
$6.7M
National Institutes of Health T32 HL069749NHLBI NIH HHS T32 HL069749
6 · The paper itself

Abstract

backgroundThe association of a Classical left bundle branch block (LBBB) contraction pattern and better outcome after cardiac resynchronization therapy (CRT) has only been studied using vendor-specific software for echocardiographic speckle-tracked longitudinal strain analysis. The purpose of this study was to assess whether a Classical LBBB contraction pattern on longitudinal strain analysis using vendor-independent software is associated with clinical outcome in CRT recipients with LBBB.

methodsThis was a retrospective cohort study including CRT recipients with LBBB, heart failure, and left ventricular (LV) ejection fraction ≤35%. Speckle-tracked echocardiographic longitudinal strain analysis was performed retrospectively on echocardiograms using vendor-independent software. The presence of a Classical LBBB contraction pattern was determined by consensus of two readers. The primary end point was a composite of time to death, heart transplantation or LV assist device implantation. Secondary outcome was ≥15% reduction in LV end-systolic volume. Intra- and inter-reader agreement of the longitudinal strain contraction pattern was assessed by calculating Cohen's κ.

resultsOf 283 included patients, 113 (40%) were women, mean age was 66 ± 11 years, and 136 (48%) had ischemic heart disease. A Classical LBBB contraction pattern was present in 196 (69%). The unadjusted hazard ratio for reaching the primary end point was 1.93 (95% confidence interval, 1.36-2.76, p < 0.001) when comparing patients without to patients with a Classical LBBB contraction pattern. Adjusted for ischemic heart disease and QRS duration < 150 milliseconds the hazard ratio was 1.65 (95% confidence interval, 1.12-2.43, p = 0.01). Of the 123 (43%) patients with a follow-up echocardiogram, 64 of 85 (75%) of patients with a Classical LBBB contraction pattern compared to 13 of 38 (34%) without, had ≥15% reduction in LV end-systolic volume (p < 0.001). Cohen's κ were 0.86 (95% confidence interval, 0.71-1.00) and 0.42 (95% confidence interval, 0.30-0.54) for intra- and inter-reader agreement, respectively.

conclusionUsing vendor-independent strain software, a Classical LBBB contraction pattern is associated with better outcome in CRT recipients with LBBB, but inter-reader agreement for the classification of contraction pattern is only moderate.

Indexed as

CommerceAgedBundle-Branch BlockCardiac Resynchronization TherapyEchocardiographyElectrocardiographyFemaleFollow-Up StudiesHeart VentriclesHumansImage Interpretation, Computer-AssistedMaleMyocardial ContractionRetrospective StudiesSoftwareStroke VolumeCardiac resynchronization therapyHeart failureLeft bundle branch blockSpeckle-tracking echocardiography

Identifiers

PMID31113440
PMCPMC6530090

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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.