Entropy as a novel predictor of cardiovascular events in patients with left ventricular noncompaction.


Journal

International journal of cardiology
ISSN: 1874-1754
Titre abrégé: Int J Cardiol
Pays: Netherlands
ID NLM: 8200291

Informations de publication

Date de publication:
01 12 2023
Historique:
received: 08 05 2023
revised: 31 07 2023
accepted: 17 08 2023
medline: 9 10 2023
pubmed: 21 8 2023
entrez: 20 8 2023
Statut: ppublish

Résumé

The risk stratification of left ventricular noncompaction (LVNC) remains ambiguous. LV entropy derived from late gadolinium enhancement (LGE) in cardiac magnetic resonance (CMR) as a novel measurement of myocardial heterogeneity may serve as the substrate of major adverse cardiovascular events (MACEs). This retrospective study aimed to investigate the value of LV entropy for predicting MACEs in LVNC patients. Consecutive patients who underwent CMR and met the diagnosis criteria of LVNC were included. All patients were follow-up for MACEs (cardiac death, ventricular arrhythmia requiring therapy or heart failure hospitalization), and their LV entropy derived from the distribution of pixel signal intensities in the LGE of the LV myocardium was analyzed. One hundred and forty-three patients (mean age 40 years, 64.3% male) were followed for a median of 3.2 years, and forty-two (29.4%) experienced MACEs. Presenting of symptoms, left ventricular end-diastolic diameter (LVEDD), LV end-diastolic volume (LVEDV) index, LV end-systolic volume (LVESV) index, LV ejection fraction (LVEF), LGE extent, and LV entropy showed association with MACEs. LV entropy maintained independent association with MACEs (HR: 4.76, 95%CI 3.68-5.15, p < 0.001) in multivariable analysis. Entropy was also strong independent predictor of MACEs in patients with and without LGE (HR: 5.89, 95% CI4.18-7.73, p < 0.001; HR: 3.06, 95% CI:1.53-4.80, p = 0.013, respectively). LV entropy can predict MACEs in LVNC patients and provide incremental prognostic value on top of LVEF and LGE. Also, LV entropy may help risk stratification in LGE-negative LVNC patients.

Sections du résumé

BACKGROUND
The risk stratification of left ventricular noncompaction (LVNC) remains ambiguous. LV entropy derived from late gadolinium enhancement (LGE) in cardiac magnetic resonance (CMR) as a novel measurement of myocardial heterogeneity may serve as the substrate of major adverse cardiovascular events (MACEs). This retrospective study aimed to investigate the value of LV entropy for predicting MACEs in LVNC patients.
METHODS
Consecutive patients who underwent CMR and met the diagnosis criteria of LVNC were included. All patients were follow-up for MACEs (cardiac death, ventricular arrhythmia requiring therapy or heart failure hospitalization), and their LV entropy derived from the distribution of pixel signal intensities in the LGE of the LV myocardium was analyzed.
RESULTS
One hundred and forty-three patients (mean age 40 years, 64.3% male) were followed for a median of 3.2 years, and forty-two (29.4%) experienced MACEs. Presenting of symptoms, left ventricular end-diastolic diameter (LVEDD), LV end-diastolic volume (LVEDV) index, LV end-systolic volume (LVESV) index, LV ejection fraction (LVEF), LGE extent, and LV entropy showed association with MACEs. LV entropy maintained independent association with MACEs (HR: 4.76, 95%CI 3.68-5.15, p < 0.001) in multivariable analysis. Entropy was also strong independent predictor of MACEs in patients with and without LGE (HR: 5.89, 95% CI4.18-7.73, p < 0.001; HR: 3.06, 95% CI:1.53-4.80, p = 0.013, respectively).
CONCLUSIONS
LV entropy can predict MACEs in LVNC patients and provide incremental prognostic value on top of LVEF and LGE. Also, LV entropy may help risk stratification in LGE-negative LVNC patients.

Identifiants

pubmed: 37598912
pii: S0167-5273(23)01158-0
doi: 10.1016/j.ijcard.2023.131279
pii:
doi:

Substances chimiques

Contrast Media 0
Gadolinium AU0V1LM3JT

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

131279

Informations de copyright

Copyright © 2023. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None declared.

Auteurs

Yan Gao (Y)

Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, China; Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China.

Mengxiao Liu (M)

MR Scientific Marketing, Diagnostic Imaging, Siemens Healthcare Ltd., Shanghai, China.

Zhiguo Ju (Z)

College of Medical Imaging, Shanghai University of Medicine & Health Science, Shanghai, China.

Haipeng Wang (H)

Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China.

Hui Gu (H)

Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China.

Ximing Wang (X)

Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, China; Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China. Electronic address: wxming369@163.com.

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