The progress in the management of hypertrophic cardiomyopathy (HCM) over the last several decades has resulted in great improvements in quality of life and overall survival for HCM patients. Yet, sudden cardiac death (SCD) due to ventricular tachyarrhythmias is among the common causes of HCM-related mortality. SCD risk stratification is a central and often challenging domain in the care of the HCM patient. Distinguishing the individuals most likely to benefit from a primary prevention implantable-cardioverter defibrillator (ICD) from those truly at a low risk of SCD in whom an ICD is not necessary is a nuanced process. Clinicians need to carefully balance the potential benefit and risks of ICDs, particularly in young patients. Because of intense investigations in diverse HCM cohorts globally, two main approaches to SCD risk stratification in HCM have emerged, one based on major SCD risk factors and one based on a mathematically derived risk score. In this overview, we discuss the current state, latest advances and remaining unknowns about established and novel markers of risk of SCD in HCM. We also review how the risk factor- and risk score-based assessments can and should be used in conjunction to enhance rather than contradict each other in facilitating informed ICD decision-making in contemporary clinical practice.
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http://dx.doi.org/10.1016/j.pcad.2023.08.005 | DOI Listing |
Pediatr Cardiol
January 2025
Department of Cardiovascular Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences and Okayama University Hospital, 2-5-1 Shikatacho, Kitaku, Okayama, Japan.
We reviewed the outcomes of truncus arteriosus repair (primary vs. staged repair incorporating bilateral pulmonary artery banding), focusing on survival, reintervention, and functional data. We analyzed 39 patients who underwent a first intervention for truncus arteriosus (staged, n = 19; primary, n = 20) between 1992 and 2022.
View Article and Find Full Text PDFEur Radiol
January 2025
Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Objectives: We aimed to use artificial intelligence to accurately identify molecular subgroups of medulloblastoma (MB), predict clinical outcomes, and incorporate deep learning-based imaging features into the risk stratification.
Methods: The MRI features were extracted for molecular subgroups by a novel multi-parameter convolutional neural network (CNN) called Bi-ResNet-MB. Then, MR features were used to establish a prognosis model based on XGBoost.
J Endovasc Ther
January 2025
Department of Vascular Surgery, Rijnstate, Arnhem, The Netherlands.
Purpose: The goal of the study described in this protocol is to build a multimodal artificial intelligence (AI) model to predict abdominal aortic aneurysm (AAA) shrinkage 1 year after endovascular aneurysm repair (EVAR).
Methods: In this retrospective observational multicenter study, approximately 1000 patients will be enrolled from hospital records of 5 experienced vascular centers. Patients will be included if they underwent elective EVAR for infrarenal AAA with initial assisted technical success and had imaging available of the same modality preoperatively and at 1-year follow-up (CTA-CTA or US-US).
Vasa
January 2025
Department of Cardiology and Vascular Medicine, West German Heart and Vascular Center Essen, University of Duisburg-Essen, Essen, Germany.
Pulmonary embolism (PE) can result in high mortality. Early risk stratification and treatment are critical for individualized management. In patients with intermediate-high-risk (IHR) PE, guidelines recommend to consider a percutaneous catheter-directed treatment (CDT).
View Article and Find Full Text PDFCurr Opin Infect Dis
January 2025
Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna.
Purpose Of Review: Recurrent skin and soft tissue infections (RSSTIs) are challenging for the clinicians due to morbidity and healthcare-related costs. Here, we review updates on risk factors and management.
Recent Findings: RSSTIs rates range between 7 and 45%.
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