Background Multimodality imaging is essential for personalized prognostic stratification in suspected coronary artery disease (CAD). Machine learning (ML) methods can help address this complexity by incorporating a broader spectrum of variables. Purpose To investigate the performance of an ML model that uses both stress cardiac MRI and coronary CT angiography (CCTA) data to predict major adverse cardiovascular events (MACE) in patients with newly diagnosed CAD.
View Article and Find Full Text PDFSci Rep
November 2024
Background: Intravascular lithotripsy (IVL) is a novel and appealing device for the preparation of coronary calcified lesions before stenting. This technology has received CE mark and FDA approval, according to the data of the CAD studies. However, these clinical trials show numerous limits as the exclusion of a subset of lesions (Left main, CTO, in stent restenosis …) and patients' over-selection.
View Article and Find Full Text PDFSeveral high-quality, randomized, sham-controlled trials have provided evidence supporting the efficacy and safety of radiofrequency, ultrasound and alcohol catheter-based renal denervation (RDN) for reducing blood pressure (BP). A French clinical consensus document has therefore been developed to propose guidance for the appropriate use of RDN in the management of hypertension along with a dedicated care pathway and management strategy. The French experts group concluded that RDN can serve as an adjunct therapy for patients with confirmed uncontrolled, resistant essential hypertension despite treatment with≥3 antihypertensive drugs, including a long-acting calcium channel blocker, a renin-angiotensin system blocker and a thiazide/thiazide-like diuretic at maximally tolerated doses.
View Article and Find Full Text PDF