Evidence map›Paper›PMID 39630353›Full record

ArticleThe international journal of cardiovascular imaging2025

Echocardiography-derived regional strain for assessment of non-culprit stenosis and prediction of systolic function recovery in acute STEMI.

Soufiane El Kadi, Thomas R Porter, Luuk H G A Hopman, Niels C Verouden, Albert C van Rossum, Ibrahim Danad, Otto Kamp

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Soufiane El KadiAmsterdam UMC, location VUmc, Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands. s.elkadi@amsterdamumc.nl.
Thomas R PorterDivision of Cardiovascular Medicine, University of Nebraska Medical Center, Omaha, NE, USA.
Luuk H G A HopmanAmsterdam UMC, location VUmc, Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
Niels C VeroudenAmsterdam UMC, location VUmc, Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
Albert C van RossumAmsterdam UMC, location VUmc, Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
Ibrahim DanadDepartment of Cardiology, Radboud University Medical Centre, Nijmegen, The Netherlands.
Otto KampAmsterdam UMC, location VUmc, Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.

Funding

Lantheus Medical Imaging, North Billerica, MA CG22014
6 · The paper itself

Abstract

To compare echocardiographic regional longitudinal strain with quantitative coronary angiography and assess temporal changes in regional strain in patients with STEMI and multivessel coronary artery disease. Thirty-two patients with STEMI and multivessel coronary artery disease underwent coronary angiography with 3D quantification and baseline echocardiography. Regional longitudinal strain was measured as the average strain of three adjacent myocardial segments (RLS-3S) with the most impaired strain values. Forty-one stenosed vessels were identified (9 LAD [19%], 21 LCx [50%] and 11 RCA [31%]). RLS-3S did not correlate with diameter stenosis, area stenosis or minimal luminal diameter. Receiver operating curve analysis of RLS-3S for hemodynamic significant lesions (defined as positive fractional flow reserve or composite of ≥ 70% diameter stenosis and minimal luminal diameter < 1.2 mm) demonstrated an area under the curve of 0.63 (95% CI 0.45-0.76) with an optimal cut-off value of < 9.8%. Sensitivity and specificity of RLS-3S was 86% (42-100) and 48% (31-66). RLS-3S < 9.8% at baseline in remote myocardium subtended by the stenosed coronary vessel predicted benefit from percutaneous coronary intervention in terms of regional functional recovery. RLS-3S does not correlate with individual coronary angiography measures and moderately predicts hemodynamically significant lesions. RLS-3S could be used to predict regional functional recovery after additional revascularization.

Indexed as

Coronary StenosisEchocardiography, Three-DimensionalST Elevation Myocardial InfarctionVentricular Function, LeftAgedCoronary AngiographyFemaleFractional Flow Reserve, MyocardialHumansMaleMiddle AgedPercutaneous Coronary InterventionPredictive Value of TestsRecovery of FunctionReproducibility of ResultsSeverity of Illness IndexEchocardiographyMulti-vessel diseaseNon-culprit lesionsRegional longitudinal strainST-elevation myocardial infarction

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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.