Evidence map›Paper›PMID 35512951›Full record

ArticleJACC. Cardiovascular imaging2022

Entropy as a Measure of Myocardial Tissue Heterogeneity in Patients With Ventricular Arrhythmias.

Panagiotis Antiochos, Yin Ge, Rob J van der Geest, Chaitanya Madamanchi, Iqra Qamar, Ayako Seno, Michael Jerosch-Herold, Usha B Tedrow, William G Stevenson, Raymond Y Kwong

Open access · bronzeAbstract read
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In one paragraph

Article in JACC. Cardiovascular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 3 countries.

Panagiotis AntiochosNoninvasive Cardiovascular Imaging Program, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA; Cardiovascular Division, University Hospital of Lausanne (CHUV), Lausanne, Switzerland.
Yin GeNoninvasive Cardiovascular Imaging Program, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Rob J van der GeestDepartment of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
Chaitanya MadamanchiNoninvasive Cardiovascular Imaging Program, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Iqra QamarNoninvasive Cardiovascular Imaging Program, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Ayako SenoNoninvasive Cardiovascular Imaging Program, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Michael Jerosch-HeroldNoninvasive Cardiovascular Imaging Program, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Usha B TedrowCardiovascular Division of Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
William G StevensonDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Raymond Y KwongNoninvasive Cardiovascular Imaging Program, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA; Cardiovascular Division of Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA. Electronic address: rykwong@bwh.harvard.edu.
Brigham and Women's Hospital · USLeiden University Medical Center · NLVanderbilt University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe authors investigated the incremental prognostic value of entropy, a novel measure of myocardial tissue heterogeneity by cardiac magnetic resonance (CMR) imaging in patients presenting with ventricular arrhythmias (VAs).

backgroundCMR can characterize myocardial areas serving as arrhythmogenic substrate.

methodsConsecutive patients undergoing CMR imaging for VAs were followed for major adverse cardiac events (MACEs) defined by all-cause death, incident VAs requiring therapy, or heart failure hospitalization. Entropy was derived from the probability distribution of pixel signal intensities of the left ventricular (LV) myocardium.

resultsA total of 583 patients (age 54 ± 15 years, female 39%, left ventricular ejection fraction [LVEF] 54 ± 13%) were followed for a median of 4.4 years and experienced 141 MACEs. Entropy showed strong unadjusted association with MACE (HR: 1.88; 95% CI: 1.63-2.17; P < 0.001). In a multivariable model including LVEF, QRS duration, late gadolinium enhancement, and presenting arrhythmia, entropy maintained independent association with MACE (HR: 1.61; 95% CI: 1.32-1.96; P < 0.001). Entropy was further significantly associated with MACE in patients without myocardial scar (HR: 2.43; 95% CI: 1.55-3.82; P < 0.001) and in those presenting with nonsustained VAs (HR: 2.16; 95% CI: 1.43-3.25; P < 0.001). Addition of LV entropy to the baseline multivariable model significantly improved model performance (C-statistic improvement: 0.725 to 0.754; P = 0.003) and risk reclassification.

conclusionsIn patients with VAs, CMR-assessed LV entropy was independently associated with MACE and provided incremental prognostic value, on top of LVEF and late gadolinium enhancement. LV entropy assessment may help risk stratification in patients with absence of myocardial scar or with nonsustained VAs.

Indexed as

GadoliniumVentricular Function, LeftAdultAgedArrhythmias, CardiacCicatrixContrast MediaEntropyFemaleHumansMagnetic Resonance Imaging, CineMiddle AgedMyocardiumPredictive Value of TestsPrognosisStroke VolumeContrast MediaGadoliniumcardiovascular magnetic resonanceentropymyocardial tissue heterogeneityprognosisventricular arrhythmia

Identifiers

PMID35512951
OpenAlexW4213221898

What OpenQuestion holds

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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.