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Arrhythmic Risk Stratification by Cardiovascular Magnetic Resonance Imaging in Patients With Nonischemic Cardiomyopathy

Hammersley, DJ; Zegard, A; Androulakis, E; Jones, RE; Okafor, O; Hatipoglu, S; Mach, L; Lota, AS; Khalique, Z; de Marvao, A; et al. Hammersley, DJ; Zegard, A; Androulakis, E; Jones, RE; Okafor, O; Hatipoglu, S; Mach, L; Lota, AS; Khalique, Z; de Marvao, A; Gulati, A; Baruah, R; Guha, K; Ware, JS; Tayal, U; Pennell, DJ; Halliday, BP; Qiu, T; Prasad, SK; Leyva, F (2024) Arrhythmic Risk Stratification by Cardiovascular Magnetic Resonance Imaging in Patients With Nonischemic Cardiomyopathy. Journal of the American College of Cardiology, 84 (15). pp. 1407-1420. ISSN 0735-1097 https://doi.org/10.1016/j.jacc.2024.06.046
SGUL Authors: Androulakis, Emmanouil

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Abstract

BACKGROUND: Myocardial fibrosis (MF) forms part of the arrhythmic substrate for ventricular arrhythmias (VAs). OBJECTIVES: This study sought to determine whether total myocardial fibrosis (TF) and gray zone fibrosis (GZF), assessed using cardiovascular magnetic resonance, are better than left ventricular ejection fraction (LVEF) in predicting ventricular arrhythmias in patients with nonischemic cardiomyopathy (NICM). METHODS: Patients with NICM in a derivation cohort (n = 866) and a validation cohort (n = 848) underwent quantification of TF and GZF. The primary composite endpoint was sudden cardiac death or VAs (ventricular fibrillation or ventricular tachycardia). RESULTS: The primary endpoint was met by 52 of 866 (6.0%) patients in the derivation cohort (median follow-up: 7.5 years; Q1-Q3: 5.2-9.3 years). In competing-risks analyses, MF on visual assessment (MFVA) predicted the primary endpoint (HR: 5.83; 95% CI: 3.15-10.8). Quantified MF measures permitted categorization into 3 risk groups: a TF of >0 g and ≤10 g was associated with an intermediate risk (HR: 4.03; 95% CI: 1.99-8.16), and a TF of >10 g was associated with the highest risk (HR: 9.17; 95% CI: 4.64-18.1) compared to patients with no MFVA (lowest risk). Similar trends were observed in the validation cohort. Categorization into these 3 risk groups was achievable using TF or GZF in combination or in isolation. In contrast, LVEF of <35% was a poor predictor of the primary endpoint (validation cohort HR: 1.99; 95% CI: 0.99-4.01). CONCLUSIONS: MFVA is a strong predictor of sudden cardiac death and VAs in NICM. TF and GZF mass added incremental value to MFVA. In contrast, LVEF was a poor discriminator of arrhythmic risk.

Item Type: Article
Additional Information: Crown Copyright © 2024 Published by Elsevier on behalf of the American College of Cardiology Foundation. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: arrythmia, fibrosis, nonischemic cardiomyopathy, risk stratification, sudden cardiac death, Humans, Male, Female, Cardiomyopathies, Middle Aged, Magnetic Resonance Imaging, Cine, Risk Assessment, Aged, Stroke Volume, Fibrosis, Arrhythmias, Cardiac, Death, Sudden, Cardiac, Myocardium, Cohort Studies, Follow-Up Studies
SGUL Research Institute / Research Centre: Academic Structure > Cardiovascular & Genomics Research Institute
Academic Structure > Cardiovascular & Genomics Research Institute > Clinical Cardiology
Journal or Publication Title: Journal of the American College of Cardiology
ISSN: 0735-1097
Language: en
Media of Output: Print-Electronic
Related URLs:
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
FS/CRTF/23/24444British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
SP/17/11/32885British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
FS/ICRF/21/26019British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
MR/W023830/1Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
RE/18/4/34215British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
21JTASir Jules Thorn Charitable Trusthttp://dx.doi.org/10.13039/501100000282
Dates:
Date Event
2024-09-30 Published
2024-08-30 Published Online
2024-06-14 Accepted
URI: https://openaccess.sgul.ac.uk/id/eprint/118446
Publisher's version: https://doi.org/10.1016/j.jacc.2024.06.046

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