Publications by authors named "A Faradji"
Article Synopsis
- This study evaluated the effectiveness of cardiac magnetic resonance (CMR) imaging compared to other diagnostic markers in predicting mortality in patients with AL cardiac amyloidosis (CA).
- Conducted on 176 patients with a median age of 68 years, the study found that high levels of NT-proBNP and troponin, along with low heart function measurements, were linked to increased mortality risk.
- Extracellular volume (ECV) from CMR emerged as a strong independent predictor of all-cause mortality and heart failure hospitalizations, suggesting it can enhance prognostic assessments beyond the established Mayo Clinic staging.
Article Synopsis
- Cardiovascular disease (CVD) is the leading cause of death in chronic kidney disease (CKD) patients, yet the prognostic value of stress cardiovascular magnetic resonance (CMR) in these patients isn't fully established.
- * A study analyzed 825 symptomatic CKD patients, focusing on the safety and predictive value of vasodilator stress CMR, while excluding patients with severe kidney impairment due to risks associated with gadolinium.
- *Results showed that stress CMR was well tolerated and the presence of inducible ischemia significantly increased the risk of major adverse cardiovascular events, highlighting stress CMR as a critical tool for predicting outcomes in CKD patients.
Safety, feasibility, and prognostic value of stress perfusion CMR in patients with MR-conditional pacemaker.
Eur Heart J Cardiovasc Imaging
January 2023
Aims: To assess the safety, feasibility, and prognostic value of stress cardiovascular magnetic resonance (CMR) in patients with pacemaker (PM).
Methods And Results: Between 2008 and 2021, we conducted a bi-centre longitudinal study with all consecutive patients with MR-conditional PM referred for vasodilator stress CMR at 1.5 T in the Institut Cardiovasculaire Paris Sud and Lariboisiere University Hospital.
Background: In patients with suspected or known coronary artery disease, traditional prognostic risk assessment is based on a limited selection of clinical and imaging findings. Machine learning (ML) methods can take into account a greater number and complexity of variables.
Objectives: This study sought to investigate the feasibility and accuracy of ML using stress cardiac magnetic resonance (CMR) and clinical data to predict 10-year all-cause mortality in patients with suspected or known coronary artery disease, and compared its performance with existing clinical or CMR scores.
Factor XI (FXI)-deficient patients may develop excessive bleeding after trauma or surgery. Replacement therapy should be considered in high-risk situations, especially when FXI levels are below 20 IU dL(-1) . HEMOLEVEN is a human plasma-derived factor XI concentrate available in France since 1992, but there are few data regarding its use by physicians.
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