Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1093/ejechocard/jer015 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Inhibition of p70 Ribosomal S6K1 Protects the Myocardium against Ischemia/Reperfusion-Induced Necrosis through Downregulation of RIP3.
Front Biosci (Landmark Ed)
January 2025
Department of Cardiology, Affiliated Hospital of Jiangnan University, 214122 Wuxi, Jiangsu, China.
Background: Myocardial ischemia-reperfusion (I/R) injury refers to cell damage that occurs as a consequence of the restoration of blood circulation following reperfusion therapy for cardiovascular diseases, and it is a primary cause of myocardial infarction. The search for nove therapeutic targets in the context of I/R injury is currently a highly active area of research. p70 ribosomal S6 kinase (S6K1) plays an important role in I/R induced necrosis, although the specific mechanisms remain unclear.
View Article and Find Full Text PDFImpact of Time-Restricted Eating and High-Intensity Exercise on Nutrient Intake in Women with Overweight/Obesity: Secondary Analysis of a Randomized Controlled Trial.
Nutrients
January 2025
Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
Background/objectives: Inadequate micronutrient intakes are common in individuals with overweight/obesityand can exacerbate cardiovascular and metabolic disease risk. Diet and exercise are primary strategies for managing overweight and may influence nutrient intakes. In this secondary analysis of dietary data collected in a randomized controlled trial (RCT, ClinicalTrials.
View Article and Find Full Text PDFEpidemiological Analysis of Fungal Infection Disease in Pediatric Population: Focus on Hospitalization from 2007 to 2022 in Veneto Region in Italy.
Pathogens
January 2025
Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35126 Padua, Italy.
Fungal infections (FIs) are widespread globally, affecting both immunocompromised and immunocompetent children, with varying clinical implications based on age and comorbidities. In immunocompromised children, particularly those with hematologic oncological conditions, FI leads to substantially longer hospital stays and increased in-hospital mortality, with reported rates ranging from 15% to 20%. Our study aims to analyze the epidemiological trends of fungal infections in the pediatric population within a specific region of Italy.
View Article and Find Full Text PDFState of the Art of Primary PCI: Present and Future.
J Clin Med
January 2025
Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, 111 East 210th Street, Bronx, New York, NY 10467, USA.
Primary percutaneous coronary intervention (PCI) has revolutionized the management of ST-elevation myocardial infarction (STEMI), markedly improving patient outcomes. Despite technological advancements, pharmacological innovations, and refined interventional techniques, STEMI prognosis remains burdened by a persistent incidence of cardiac death and heart failure (HF), with mortality rates plateauing over the last decade. This review examines current practices in primary PCI, focusing on critical factors influencing patient outcomes.
View Article and Find Full Text PDFPrioritizing Patient Selection in Clinical Trials: A Machine Learning Algorithm for Dynamic Prediction of In-Hospital Mortality for ICU Admitted Patients Using Repeated Measurement Data.
J Clin Med
January 2025
Clinical Trial and Biostatistics, Research and Innovation Unit, University Hospital of Ferrara, 44124 Ferrara, Italy.
A machine learning prognostic mortality scoring system was developed to address challenges in patient selection for clinical trials within the Intensive Care Unit (ICU) environment. The algorithm incorporates Red blood cell Distribution Width (RDW) data and other demographic characteristics to predict ICU mortality alongside existing ICU mortality scoring systems like Simplified Acute Physiology Score (SAPS). The developed algorithm, defined as a Mixed-effects logistic Random Forest for binary data (MixRFb), integrates a Random Forest (RF) classification with a mixed-effects model for binary outcomes, accounting for repeated measurement data.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!