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Evaluation of Department of Defense hospital antimicrobial stewardship programs (ASPs) using a novel Core Elements scoring approach and modeling Core Elements scores with metrics related to ASP outcomes.
Infect Control Hosp Epidemiol
March 2025
Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Objective: Evaluate Department of Defense (DoD) antimicrobial stewardship programs (ASPs) by assessing the relationship between key clinical outcome metrics (antibiotic use, incidence of resistant pathogens, and incidence of infections) and CDC Core Element (CE) adherence.
Design: Retrospective, cross-sectional study of DoD hospitals in 2018 and 2021.
Methods: National Healthcare Safety Network Standardized Antimicrobial Administration Ratios (SAARs) were used to measure antibiotic use and microbiology results to evaluate four types of pathogen incidence.
Assessing Environmental Justice in Mexico: How Polluting Industries and Healthcare Disparities Impact Congenital Heart Defects.
Birth Defects Res
March 2025
Neurometabolic Translational Research Center for Experimental Neurotherapeutics, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Background: Congenital heart defects (CHDs) are the most prevalent birth defects globally and the second leading cause of death in Mexican children under five. This study examines how industrial activity and social vulnerabilities independently and jointly influence CHD incidence across 2446 Mexican municipalities from 2008 to 2019.
Methods: Using negative binomial regression models, we evaluated associations between polluting industries, healthcare access, and CHD incidence.
Large Language Model-Based Critical Care Big Data Deployment and Extraction: Descriptive Analysis.
JMIR Med Inform
March 2025
Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, No.119 Nansihuanxi Road, Fengtai District, Beijing, 100070, China, 86 17611757717.
Background: Publicly accessible critical care-related databases contain enormous clinical data, but their utilization often requires advanced programming skills. The growing complexity of large databases and unstructured data presents challenges for clinicians who need programming or data analysis expertise to utilize these systems directly.
Objective: This study aims to simplify critical care-related database deployment and extraction via large language models.
Development of a multi-epitope vaccine candidate to combat SARS-CoV-2 and dengue virus co-infection through an immunoinformatic approach.
Front Immunol
March 2025
Division of Metabolomics, Proteomics & Imaging facility, Regional Medical Research Centre, Indian Council of Medical Research (ICMR), Dibrugarh, Assam, India.
Background: Although the SARS-CoV-2 and dengue viruses seriously endanger human health, there is presently no vaccine that can stop a person from contracting both viruses at the same time. In this study, four antigens from SARS-CoV-2 and dengue virus were tested for immunogenicity, antigenicity, allergenicity, and toxicity and chosen to predict dominant T- and B-cell epitopes.
Methods: For designing a multi-epitope vaccine, the sequences were retrieved, and using bioinformatics and immunoinformatics, the physicochemical and immunological properties, as well as secondary structures, of the vaccine were predicted and studied.
Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outcomes.
Front Immunol
March 2025
Research Laboratory Center, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
Background: Breast cancer, a highly prevalent global cancer, poses significant challenges, especially in advanced stages. Prognostic models are crucial to enhance patient outcomes. Tertiary lymphoid structures (TLS) within the tumor microenvironment have been associated with better prognostic outcomes.
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