Hammersley, Daniel J., Zegard, Abbasin, Androulakis, Emmanuel, Jones, Richard E., Okafor, Osita, Hatipoglu, Suzan, Mach, Lukas, Lota, Amrit S., Khalique, Zohya, de Marvao, Antonio, Gulati, Ankur, Baruah, Resham, Guha, Kaushik, Ware, James S., Tayal, Upasana, Pennell, Dudley J., Halliday, Brian P., Qiu, Tian, Prasad, Sanjay K. and Leyva, Francisco (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.
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 (MF VA) 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 MF VA (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: MF VA is a strong predictor of sudden cardiac death and VAs in NICM. TF and GZF mass added incremental value to MF VA. In contrast, LVEF was a poor discriminator of arrhythmic risk.
Publication DOI: | https://doi.org/10.1016/j.jacc.2024.06.046 |
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Divisions: | College of Health & Life Sciences > School of Biosciences College of Health & Life Sciences > Aston Medical School > Translational Medicine Research Group (TMRG) College of Health & Life Sciences > Aston Medical School |
Funding Information: | This work was supported by a National Heart and Lung Institute Foundation grant awarded to Drs Prasad, Hammersley, Jones, Tayal, and Halliday as well as a British Society for Heart Failure Research Fellowship and a British Heart Foundation Clinical Resear |
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 (https://creativecommons.org/licenses/by/4.0/). |
Uncontrolled Keywords: | arrythmia,fibrosis,nonischemic cardiomyopathy,risk stratification,sudden cardiac death,Cardiology and Cardiovascular Medicine |
Publication ISSN: | 1558-3597 |
Last Modified: | 18 Nov 2024 08:51 |
Date Deposited: | 02 Sep 2024 15:26 |
Full Text Link: | |
Related URLs: |
https://linking ... 735109724081099
(Publisher URL) http://www.scop ... tnerID=8YFLogxK (Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2024-10-08 |
Published Online Date: | 2024-08-30 |
Accepted Date: | 2024-06-14 |
Authors: |
Hammersley, Daniel J.
Zegard, Abbasin Androulakis, Emmanuel Jones, Richard E. Okafor, Osita Hatipoglu, Suzan Mach, Lukas Lota, Amrit S. Khalique, Zohya de Marvao, Antonio Gulati, Ankur Baruah, Resham Guha, Kaushik Ware, James S. Tayal, Upasana Pennell, Dudley J. Halliday, Brian P. Qiu, Tian Prasad, Sanjay K. Leyva, Francisco |