Evidence map›Paper›PMID 33267877›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2020

Layer-specific strain in patients with heart failure using cardiovascular magnetic resonance: not all layers are the same.

Lingyu Xu, Joseph J Pagano, Mark J Haykowksy, Justin A Ezekowitz, Gavin Y Oudit, Yoko Mikami, Andrew Howarth, James A White, Jason R B Dyck, Todd Anderson and 3 more

Open access · goldAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 36 citations in OpenAlex.

  1. Layer-specific fast strain-encoded cardiovascular magnetic resonance in suspected acute coronary syndrome: a prospective study.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
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  11. Layer-specific fast strain-encoded cardiac magnetic resonance imaging aids in the identification and discrimination of acute myocardial injury: a prospective proof-of-concept study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
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  12. Integration of longitudinal and circumferential strain predicts volumetric change across the cardiac cycle and differentiates patients along the heart failure continuum.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
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  16. European journal of nuclear medicine and molecular imaging · 2022
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  17. 2021 - State of our JCMR.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
    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

13 authors at 3 institutions in 2 countries.

Lingyu XuDepartment of Biomedical Engineering, University of Alberta, 1098 Research Transition Facility, 8308-114 Street, Edmonton, Alberta,, T6G 2V2, Canada.
Joseph J PaganoDepartment of Biomedical Engineering, University of Alberta, 1098 Research Transition Facility, 8308-114 Street, Edmonton, Alberta,, T6G 2V2, Canada.
Mark J HaykowksyCollege of Nursing and Health Innovation, The University of Texas Arlington, Arlington, USA.
Justin A EzekowitzDivision of Cardiology, University of Alberta, Edmonton, Canada.
Gavin Y OuditDivision of Cardiology, University of Alberta, Edmonton, Canada.
Yoko MikamiStephenson Cardiac Imaging Centre, Libin Cardiovascular Institute of Alberta, Calgary, Canada.
Andrew HowarthStephenson Cardiac Imaging Centre, Libin Cardiovascular Institute of Alberta, Calgary, Canada.
James A WhiteStephenson Cardiac Imaging Centre, Libin Cardiovascular Institute of Alberta, Calgary, Canada.
Jason R B DyckDepartment of Pediatrics, University of Alberta, Edmonton, Canada.
Todd AndersonCumming School of Medicine, University of Calgary, Calgary, Canada.
D Ian PatersonDivision of Cardiology, University of Alberta, Edmonton, Canada.
Richard B ThompsonDepartment of Biomedical Engineering, University of Alberta, 1098 Research Transition Facility, 8308-114 Street, Edmonton, Alberta,, T6G 2V2, Canada. richard.thompson@ualberta.ca.ORCID 0000-0003-3319-4377
AB HEART Investigators
University of Alberta · CAUniversity of Calgary · CAThe University of Texas at Arlington · US

Funding

CIHR
6 · The paper itself

Abstract

backgroundGlobal longitudinal strain (GLS), most commonly measured at the endocardium, has been shown to be superior to left ventricular (LV) ejection fraction (LVEF) for the identification of systolic dysfunction and prediction of outcomes in heart failure (HF). We hypothesized that strains measured at different myocardial layers (endocardium = ENDO, epicardium = EPI, average = AVE) will have distinct diagnostic and predictive performance for patients with HF.

methodsLayer-specific GLS, layer-specific global circumferential strain (GCS) and global radial strain (GRS) were evaluated by cardiovascular magnetic resonance imaging (CMR) feature tracking in the Alberta HEART study. A total of 453 subjects consisted of healthy controls (controls, n = 77), at-risk for HF (at-risk, n = 143), HF with preserved ejection fraction (HFpEF, n = 87), HF with mid-range ejection fraction (HFmrEF, n = 88) and HF with reduced ejection fraction (HFrEF, n = 58). For outcomes analysis, CMR-derived imaging parameters were adjusted with a base model that included age and N-terminal prohormone of b-type natriuretic peptide (NT-proBNP) to test their independent association with 5-year all-cause mortality.

resultsGLS_EPI distinguished all groups with preserved LVEF (controls - 16.5 ± 2.4% vs. at-risk - 15.5 ± 2.7% vs. HFpEF - 14.1 ± 3.0%, p < 0.001) while GLS_ENDO and all GCS (all layers) were similar among these groups. GRS was reduced in HFpEF (41.1 ± 13.8% versus 48.9 ± 10.7% in controls, p < 0.001) and the difference between GLS_EPI and GLS_ENDO were significantly larger in HFpEF as compared to controls. Within the preserved LVEF groups, reduced GRS and GLS_EPI were significantly associated with increased LV mass (LVM) and LVM/LV end-diastolic volume EDV (concentricity). In multivariable analysis, only GLS_AVE and GRS predicted 5-year all-cause mortality (all ps < 0.05), with the strongest association with 5-year all-cause mortality by Akaike Information Criterion analysis and significant incremental value for outcomes prediction beyond LVEF or GLS_ENDO by the likelihood ratio test.

conclusionGlobal strains measured on endocardium, epicardium or averaged across the wall thickness are not equivalent for the identification of systolic dysfunction or outcomes prediction in HF. The endocardium-specific strains were shown to have poorest all-around performance. GLS_AVE and GRS were the only CMR parameters to be significantly associated with 5-year all-cause mortality in multivariable analysis. GLS_EPI and GRS, as well as the difference in endocardial and epicardial strains, were sensitive to systolic dysfunction among HF patients with normal LVEF (> 55%), in whom lower strains were associated with increased concentricity.

Indexed as

Magnetic Resonance Imaging, CineStroke VolumeVentricular Function, LeftAgedAlbertaBiomechanical PhenomenaCase-Control StudiesFemaleHeart Disease Risk FactorsHeart FailureHumansMaleMiddle AgedPredictive Value of TestsPrognosisRisk AssessmentCardiovascular magnetic resonance imagingFeature trackingHeart failureLayer-specific global longitudinal strainPrognosis

Identifiers

PMID33267877
PMCPMC7713324
OpenAlexW3109379693

What OpenQuestion holds

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LicenceCC BY
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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.