Relationship Between Severity of Ischemia and Coronary Artery Disease for Different Stress Test Modalities in the ISCHEMIA Trial.

Background: The relationship between the extent and severity of stress-induced ischemia and the extent and severity of anatomic coronary artery disease (CAD) in patients with obstructive CAD is multifactorial and includes the intensity of stress achieved, type of testing used, presence and extent of prior infarction, collateral blood flow, plaque characteristics, microvascular disease, coronary vasomotor tone, and genetic factors. Among chronic coronary disease participants with site-determined moderate or severe ischemia, we investigated associations between ischemia severity on stress testing and the extent of CAD on coronary computed tomography angiography.

Methods: Clinically indicated stress testing included nuclear imaging, echocardiography, cardiac magnetic resonance imaging, or nonimaging exercise tolerance test.

Population health and community health: brokering the two through art and community engagement.

The arts and aesthetic experiences have fostered and enhanced relationships between diverse, distinct groups in an effort to build comradery, trust, and engagement. In regards to collaborations between health systems and communities, taking into account strategies to build such relationships is vital in an effort to assure a bidirectional collaboration that implements public health insight and resources effectively. There are many factors warranting consideration when building effective community engagement for health promotion between healthcare systems and local community organizations and residents.

mRNA-LNPs induce immune activation and cytokine release in human whole blood assays across diverse health conditions.

RNA medicines have become a promising platform for therapeutic use in recent years. Understanding the immunomodulatory effects of novel mRNA-lipid nanoparticles (LNPs) is crucial for future therapeutic development. An in vitro whole blood assay was developed to assess the impact of mRNA-LNPs on immune cell function, cytokine release, and complement activation.

Machine Learning-based Prognostic Subgrouping of Glioblastoma: A Multi-center Study.

Background: Glioblastoma is the most aggressive adult primary brain cancer, characterized by significant heterogeneity, posing challenges for patient management, treatment planning, and clinical trial stratification.

Methods: We developed a highly reproducible, personalized prognostication and clinical subgrouping system using machine learning (ML) on routine clinical data, MRI, and molecular measures from 2,838 demographically diverse patients across 22 institutions and 3 continents. Patients were stratified into favorable, intermediate, and poor prognostic subgroups (I, II, III) using Kaplan-Meier analysis (Cox proportional model and hazard ratios [HR]).

Alternative antibiotic selections during the 2022 amoxicillin shortage in the US.

This study of seven pediatric hospitals identified that the amoxicillin shortage in 2022 resulted in a decline in amoxicillin suspension prescribing by 30.8% with increases in use of amoxicillin non-suspension (+7.9) and broad-spectrum antibiotics.