Publications by authors named "M Mahmod"
Article Synopsis
- Hypertrophic cardiomyopathy (HCM) is a diverse heart condition that can lead to severe health issues and traditionally managed through symptom relief and the use of defibrillators to prevent sudden cardiac death.
- There is a recognized need for treatments that modify the disease itself, and recently, new therapies like mavacamten, a myosin inhibitor, have gained regulatory approval.
- Clinical trials for HCM face unique challenges, which include selecting patients based on their genetic and symptom profiles, measuring outcomes effectively, and considering factors like trial duration and sample size when interpreting results.
Myocardial Disarray and Fibrosis across Hypertrophic Cardiomyopathy Stages Associate with ECG Markers of Arrhythmic Risk.
Eur Heart J Cardiovasc Imaging
October 2024
Article Synopsis
- Myocardial disarray, linked to arrhythmia risk, was studied in patients with prehypertrophic sarcomeric variants (SARC+LVH-) and hypertrophic cardiomyopathy (HCM) using diffusion tensor cardiac MRI (DT-CMR).
- Results showed reduced diastolic fractional anisotropy (FA) and prolonged corrected JT intervals (JTc) in both patient groups compared to controls, suggesting that both conditions exhibit signs of myocardial disarray.
- The study highlighted that lower FA and higher extracellular volume (ECV) correlate with prolonged repolarization, and the JT interval proves effective in distinguishing SARC+LVH- patients from controls and linking to HCM-related sudden cardiac death risk.
Differentiating Left Ventricular Remodeling in Aortic Stenosis From Systemic Hypertension.
Circ Cardiovasc Imaging
August 2024
Background: Left ventricular (LV) hypertrophy occurs in both aortic stenosis (AS) and systemic hypertension (HTN) in response to wall stress. However, differentiation of hypertrophy due to these 2 etiologies is lacking. The aim was to study the 3-dimensional geometric remodeling pattern in severe AS pre- and postsurgical aortic valve replacement and to compare with HTN and healthy controls.
View Article and Find Full Text PDFDiagnostic utility of electrocardiogram for screening of cardiac injury on cardiac magnetic resonance in post-hospitalised COVID-19 patients: a prospective multicenter study.
Int J Cardiol
November 2024
Article Synopsis
- The study aimed to assess the effectiveness of ECG in detecting cardiac issues in post-hospitalized COVID-19 patients through cardiac magnetic resonance (CMR) imaging.
- Results showed that these patients had significantly more ECG abnormalities compared to healthy controls, yet both groups had similar levels of CMR abnormalities.
- Adding additional analyses on repolarization improved ECG's ability to identify patients with CMR abnormalities and reduced the reliance on sex in the diagnostic process.
Aims: Recently, deep learning artificial intelligence (AI) models have been trained to detect cardiovascular conditions, including hypertrophic cardiomyopathy (HCM), from the 12-lead electrocardiogram (ECG). In this external validation study, we sought to assess the performance of an AI-ECG algorithm for detecting HCM in diverse international cohorts.
Methods And Results: A convolutional neural network-based AI-ECG algorithm was developed previously in a single-centre North American HCM cohort (Mayo Clinic).