Arrhythmic Risk Stratification by Cardiovascular Magnetic Resonance Imaging in Patients With Nonischemic Cardiomyopathy
Year: 2024
Type: article
Study design: Observational Study
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: (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: . In contrast, LVEF was a poor discriminator of arrhythmic risk.
Authors: Daniel J. Hammersley, Abbasin Zegard, Emmanuel Androulakis, Richard E. Jones, Osita Okafor, Suzan Hatipoglu, Lukas Mach, Amrit S. Lota, Zohya Khalique, Antonio de Marvao, Ankur Gulati, Resham Baruah, Kaushik Guha, James S. Ware, Upasana Tayal, Dudley J. Pennell, Brian P. Halliday, Tian Qiu, Sanjay K. Prasad, Francisco Leyva
Institutions: Guy's and St Thomas' NHS Foundation Trust, King's College Hospital NHS Foundation Trust, Imperial College London, Aston University, Queen Elizabeth Hospital Birmingham, Essex Cardiothoracic Centre, King's College London, British Heart Foundation, Lewisham and Greenwich NHS Trust, Portsmouth Hospitals NHS Trust, University Hospitals Birmingham NHS Foundation Trust
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $6,825
OpenAlex ID: W4402054697
