The Prognostic Value of Left Ventricular Entropy From T1 Mapping in Patients With Hypertrophic Cardiomyopathy

Jie Wang; Jinquan Zhang; Lutong Pu; Weitang Qi; Yuanwei Xu; Ke Wan; Yanjie Zhu; Georgios V. Gkoutos; Yuchi Han; Yucheng Chen

doi:10.1016/j.jacasi.2024.01.005

The Prognostic Value of Left Ventricular Entropy From T1 Mapping in Patients With Hypertrophic Cardiomyopathy

Jie Wang, Jinquan Zhang, Lutong Pu, Weitang Qi, Yuanwei Xu, Ke Wan, Yanjie Zhu, Georgios V. Gkoutos, Yuchi Han, Yucheng Chen^*

^*Corresponding author for this work

Cancer and Genomic Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

Background: The prognostic value of left ventricular (LV) entropy in hypertrophic cardiomyopathy (HCM) is unclear.

Objectives: This study aimed to assess the prognostic value of LV entropy from T1 mapping in HCM.

Methods: A total of 748 participants with HCM, who underwent cardiovascular magnetic resonance (CMR), were consecutively enrolled. LV entropy was quantified by native T1 mapping. A competing risk analysis and a Cox proportional hazards regression analysis were performed to identify potential associations of LV entropy with sudden cardiac death (SCD) and cardiovascular death (CVD), respectively.

Results: A total of 40 patients with HCM experienced SCD, and 65 experienced CVD during a median follow-up of 43 months. Participants with increased LV entropy ( ≥4.06 ) were more likely to experience SCD and CVD (all P < 0.05) in the entire study cohort or the subgroup with low late gadolinium enhancement (LGE) extent ( <15% ). After adjustment for the European Society of Cardiology predictors and the presence of high LGE extent ( ≥15% ), LV mean entropy was an independent predictor for SCD (HR: 1.03; all P < 0.05) by the multivariable competing risk analysis and CVD (HR: 1.06; 95% CI: 1.03-1.09; P < 0.001) by multivariable Cox regression analysis.

Conclusions: LV mean entropy derived from native T1 mapping, reflecting myocardial tissue heterogeneity, was an independent predictor of SCD and CVD in participants with HCM. (Cardiac Magnetic Resonance Imaging Clinical Application Registration Study; ChiCTR1900024094)

Original language	English
Journal	JACC: Asia
Early online date	26 Mar 2024
DOIs	https://doi.org/10.1016/j.jacasi.2024.01.005
Publication status	E-pub ahead of print - 26 Mar 2024

Bibliographical note

Funding Support and Author Disclosures:
This work was supported by grants from the National Natural Science Foundation of China (Grant Number: 82202248), the Natural Science Foundation of Sichuan Province (Grant Number: 23NSFSC4589), and the 1.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University (Grant numbers ZYJC18003). The authors have reported that they have no relationships relevant to the contents of this paper to disclose.

Keywords

cardiac magnetic resonance
entropy
hypertrophic cardiomyopathy
sudden cardiac death
T1 mapping

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@article{d5edc4ada5ff4f42aaae4a36d174733f,

title = "The Prognostic Value of Left Ventricular Entropy From T1 Mapping in Patients With Hypertrophic Cardiomyopathy",

abstract = "Background: The prognostic value of left ventricular (LV) entropy in hypertrophic cardiomyopathy (HCM) is unclear.Objectives: This study aimed to assess the prognostic value of LV entropy from T1 mapping in HCM.Methods: A total of 748 participants with HCM, who underwent cardiovascular magnetic resonance (CMR), were consecutively enrolled. LV entropy was quantified by native T1 mapping. A competing risk analysis and a Cox proportional hazards regression analysis were performed to identify potential associations of LV entropy with sudden cardiac death (SCD) and cardiovascular death (CVD), respectively.Results: A total of 40 patients with HCM experienced SCD, and 65 experienced CVD during a median follow-up of 43 months. Participants with increased LV entropy ( ≥4.06 ) were more likely to experience SCD and CVD (all P < 0.05) in the entire study cohort or the subgroup with low late gadolinium enhancement (LGE) extent ( <15% ). After adjustment for the European Society of Cardiology predictors and the presence of high LGE extent ( ≥15% ), LV mean entropy was an independent predictor for SCD (HR: 1.03; all P < 0.05) by the multivariable competing risk analysis and CVD (HR: 1.06; 95% CI: 1.03-1.09; P < 0.001) by multivariable Cox regression analysis.Conclusions: LV mean entropy derived from native T1 mapping, reflecting myocardial tissue heterogeneity, was an independent predictor of SCD and CVD in participants with HCM. (Cardiac Magnetic Resonance Imaging Clinical Application Registration Study; ChiCTR1900024094)",

keywords = "cardiac magnetic resonance, entropy, hypertrophic cardiomyopathy, sudden cardiac death, T1 mapping",

author = "Jie Wang and Jinquan Zhang and Lutong Pu and Weitang Qi and Yuanwei Xu and Ke Wan and Yanjie Zhu and Gkoutos, {Georgios V.} and Yuchi Han and Yucheng Chen",

note = "Funding Support and Author Disclosures: This work was supported by grants from the National Natural Science Foundation of China (Grant Number: 82202248), the Natural Science Foundation of Sichuan Province (Grant Number: 23NSFSC4589), and the 1.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University (Grant numbers ZYJC18003). The authors have reported that they have no relationships relevant to the contents of this paper to disclose.",

year = "2024",

month = mar,

day = "26",

doi = "10.1016/j.jacasi.2024.01.005",

language = "English",

journal = "JACC: Asia",

issn = "2772-3747",

publisher = "Elsevier Korea",

}

TY - JOUR

T1 - The Prognostic Value of Left Ventricular Entropy From T1 Mapping in Patients With Hypertrophic Cardiomyopathy

AU - Wang, Jie

AU - Zhang, Jinquan

AU - Pu, Lutong

AU - Qi, Weitang

AU - Xu, Yuanwei

AU - Wan, Ke

AU - Zhu, Yanjie

AU - Gkoutos, Georgios V.

AU - Han, Yuchi

AU - Chen, Yucheng

N1 - Funding Support and Author Disclosures: This work was supported by grants from the National Natural Science Foundation of China (Grant Number: 82202248), the Natural Science Foundation of Sichuan Province (Grant Number: 23NSFSC4589), and the 1.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University (Grant numbers ZYJC18003). The authors have reported that they have no relationships relevant to the contents of this paper to disclose.

PY - 2024/3/26

Y1 - 2024/3/26

N2 - Background: The prognostic value of left ventricular (LV) entropy in hypertrophic cardiomyopathy (HCM) is unclear.Objectives: This study aimed to assess the prognostic value of LV entropy from T1 mapping in HCM.Methods: A total of 748 participants with HCM, who underwent cardiovascular magnetic resonance (CMR), were consecutively enrolled. LV entropy was quantified by native T1 mapping. A competing risk analysis and a Cox proportional hazards regression analysis were performed to identify potential associations of LV entropy with sudden cardiac death (SCD) and cardiovascular death (CVD), respectively.Results: A total of 40 patients with HCM experienced SCD, and 65 experienced CVD during a median follow-up of 43 months. Participants with increased LV entropy ( ≥4.06 ) were more likely to experience SCD and CVD (all P < 0.05) in the entire study cohort or the subgroup with low late gadolinium enhancement (LGE) extent ( <15% ). After adjustment for the European Society of Cardiology predictors and the presence of high LGE extent ( ≥15% ), LV mean entropy was an independent predictor for SCD (HR: 1.03; all P < 0.05) by the multivariable competing risk analysis and CVD (HR: 1.06; 95% CI: 1.03-1.09; P < 0.001) by multivariable Cox regression analysis.Conclusions: LV mean entropy derived from native T1 mapping, reflecting myocardial tissue heterogeneity, was an independent predictor of SCD and CVD in participants with HCM. (Cardiac Magnetic Resonance Imaging Clinical Application Registration Study; ChiCTR1900024094)

AB - Background: The prognostic value of left ventricular (LV) entropy in hypertrophic cardiomyopathy (HCM) is unclear.Objectives: This study aimed to assess the prognostic value of LV entropy from T1 mapping in HCM.Methods: A total of 748 participants with HCM, who underwent cardiovascular magnetic resonance (CMR), were consecutively enrolled. LV entropy was quantified by native T1 mapping. A competing risk analysis and a Cox proportional hazards regression analysis were performed to identify potential associations of LV entropy with sudden cardiac death (SCD) and cardiovascular death (CVD), respectively.Results: A total of 40 patients with HCM experienced SCD, and 65 experienced CVD during a median follow-up of 43 months. Participants with increased LV entropy ( ≥4.06 ) were more likely to experience SCD and CVD (all P < 0.05) in the entire study cohort or the subgroup with low late gadolinium enhancement (LGE) extent ( <15% ). After adjustment for the European Society of Cardiology predictors and the presence of high LGE extent ( ≥15% ), LV mean entropy was an independent predictor for SCD (HR: 1.03; all P < 0.05) by the multivariable competing risk analysis and CVD (HR: 1.06; 95% CI: 1.03-1.09; P < 0.001) by multivariable Cox regression analysis.Conclusions: LV mean entropy derived from native T1 mapping, reflecting myocardial tissue heterogeneity, was an independent predictor of SCD and CVD in participants with HCM. (Cardiac Magnetic Resonance Imaging Clinical Application Registration Study; ChiCTR1900024094)

KW - cardiac magnetic resonance

KW - entropy

KW - hypertrophic cardiomyopathy

KW - sudden cardiac death

KW - T1 mapping

U2 - 10.1016/j.jacasi.2024.01.005

DO - 10.1016/j.jacasi.2024.01.005

M3 - Article

SN - 2772-3747

JO - JACC: Asia

JF - JACC: Asia

ER -

The Prognostic Value of Left Ventricular Entropy From T1 Mapping in Patients With Hypertrophic Cardiomyopathy

Abstract

Bibliographical note

Keywords

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