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

MF<sub>VA</sub> is a strong predictor of sudden cardiac death and VAs in NICM. TF and GZF mass added incremental value to MF<sub>VA</sub>. In contrast, LVEF was a poor discriminator of arrhythmic risk.

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Publication Details

Journal
Journal of the American College of Cardiology
Published
2024-08-30
DOI
https://doi.org/10.1016/j.jacc.2024.06.046
Citations
24
Primary Topic
Cardiac electrophysiology and arrhythmias
Type
article
Field-Weighted Citation Impact
9.65

Funders

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

Amrit Lota, Daniel Hammersley, James S. Ware, Abbasin Zegard et al.
24 citations
Journal of the American College of Cardiology
Cardiac electrophysiology and arrhythmias
9.65
article

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

Amrit Lota, Daniel Hammersley, James S. Ware, Abbasin Zegard, Brian P. Halliday, Upasana Tayal, Kaushik Guha, Resham Baruah, Zohya Khalique, Sanjay Prasad, Lukas Mach, Osita Okafor, Francisco Leyva, Antonio de Marvao, Emmanuel Androulakis, Ankur Gulati, Richard E. Jones, Suzan Hatipoğlu, Dudley J. Pennell, Tian Qiu
article en
24 citations

Abstract

MF<sub>VA</sub> is a strong predictor of sudden cardiac death and VAs in NICM. TF and GZF mass added incremental value to MF<sub>VA</sub>. In contrast, LVEF was a poor discriminator of arrhythmic risk.

Journal of the American College of CardiologyVol. 84(15)
Aston University (GB), King's College London (GB), Guy's and St Thomas' NHS Foundation Trust (GB), Queen Elizabeth Hospital Birmingham (GB), Royal Brompton & Harefield NHS Foundation Trust (GB), British Heart Foundation (GB), Portsmouth Hospitals NHS Trust (GB), Lewisham and Greenwich NHS Trust (GB)
Rosetrees Trust, National Heart and Lung Institute, Medical Research Council
Good health and well-being
Openalex Percentile: Top 1%
Cardiac electrophysiology and arrhythmias
9.65
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