Several dynamic models predict mortality and corticosteroid response in alcohol-associated hepatitis (AH), yet no consensus exists on the most effective model. This study aimed to assess predictive models for corticosteroid response and short-term mortality in severe AH within a global cohort. We conducted a multi-national study of patients with severe AH treated with corticosteroids for at least 7 days, enrolled between 2009 and 2019. Dynamic models-Lille-4, Lille-7, trajectory of serum bilirubin (TSB), and neutrophil-to-lymphocyte ratio (NLR)-were used to estimate 30- and 90-day mortality. Lille-7 demonstrated the highest accuracy for both 30- and 90-day mortality.
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http://dx.doi.org/10.1111/apt.70024 | DOI Listing |
J Am Chem Soc
March 2025
Department of Chemistry, University of California, Berkeley, Berkeley, California 94720, United States.
Metal halide perovskites have excellent optoelectronic properties. This study aims to determine how the optoelectronic properties of a model perovskite, cesium lead bromide (CsPbBr), change with length and thickness in one dimension (1D). By examining the photophysics of CsPbBr quantum dots (QDs), nanowires (NWs), and nanorods (NRs), we observe the influence of confinement, exciton diffusion, and trapping on their optical properties.
View Article and Find Full Text PDFAm J Public Health
April 2025
Kristen M. Brown, Brigette Courtot, Zara Porter, and Sofia Hinojosa are with the Health Policy Center, Urban Institute, Washington, DC.
The Centers for Disease Control and Prevention's Partnering for Vaccine Equity program was developed during the COVID-19 public health emergency to fund more than 500 community-based organizations working to improve vaccine equity. Organizations were supported by a virtual learning community where members received tailored learning content, peer-to-peer learning opportunities, and resources that facilitated deployment of vaccine-related programming during a dynamic pandemic. Process evaluation metrics indicate successful implementation of the learning community.
View Article and Find Full Text PDFACS Nano
March 2025
Hefei National Research Center for Physical Sciences at the Microscale, Department of Polymer Science and Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China.
The translocation dynamics of cells and particles through geometric constrictions are critical in biological and biomedical processes from splenic filtration to tumor metastasis. While particle stiffness plays a key role, its role in highly nonequilibrium states remains poorly understood. Here, we present a multiscale model to investigate the impact of particle stiffness on the translocation dynamics in microfluidic channels.
View Article and Find Full Text PDFElife
March 2025
Machine Learning Core, National Institute of Mental Health, Bethesda, United States.
Fiber photometry has become a popular technique to measure neural activity in vivo, but common analysis strategies can reduce the detection of effects because they condense signals into summary measures, and discard trial-level information by averaging . We propose a novel photometry statistical framework based on functional linear mixed modeling, which enables hypothesis testing of variable effects at , and uses trial-level signals without averaging. This makes it possible to compare the timing and magnitude of signals across conditions while accounting for between-animal differences.
View Article and Find Full Text PDFWaste Manag Res
March 2025
Department of Mechanical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi, DL, India.
This research determines the potential impact of reducing food waste on future energy consumption and pollutant emissions. The study uses system dynamics modelling to simulate the complex link between population, food demand, food waste output and their interactions with energy consumption in the food system and carbon dioxide (CO) emissions. Scenarios are developed by considering two elements: a reduction in food waste and an increase in energy output.
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