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Efforts have been made to identify factors influencing clinical response in patients with atopic dermatitis (AD) treated with dupilumab. A retrospective single-center observational study was carried out by analyzing data from 492 patients aged 12 years and older with moderate-to-severe AD. The study aimed to identify baseline demographic and clinical factors that could predict the achievement of a mild level of disease, i.e., an Eczema Area and Severity Index (EASI) ≤ 7, within 4 weeks from dupilumab initiation. Classic, generalized lichenoid and inflammatory phenotypes compared with a nummular eczema phenotype (OR = 6.9, 95% CI 2.04-23.48 and OR = 4.22, 95% CI 1.22-14.66, respectively) and a baseline EASI ≤ 24 and between 24-29, compared with a baseline EASI ≥ 29 (OR = 3.1, 95% CI 1.81-5.41 and OR = 1.8, 95% CI 1.05-3.07, respectively), were found to be predictive factors of early response to dupilumab, highlighting the importance of early biological treatment of AD.
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http://dx.doi.org/10.3390/jcm12206575 | DOI Listing |
Water Res
September 2025
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China. Electronic address:
Groundwater overextraction presents persistent challenges due to strategic interdependence among decentralized users. While game-theoretic models have advanced the analysis of individual incentives and collective outcomes, most frameworks assume fully rational agents and neglect the role of cognitive and social factors. This study proposes a coupled model that integrates opinion dynamics with a differential game of groundwater extraction, capturing the interaction between institutional authority and evolving stakeholder preferences.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
Department of Medical Oncology, Early Phase Unit, Georges-François Leclerc Centre, Dijon, France.
Background: Sarcomas are rare cancer with a heterogeneous group of tumors. They affect both genders across all age groups and present significant heterogeneity, with more than 70 histological subtypes. Despite tailored treatments, the high metastatic potential of sarcomas remains a major factor in poor patient survival, as metastasis is often the leading cause of death.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
University of Nevada, Las Vegas, Las Vegas, NV, United States.
Background: In-hospital cardiac arrest (IHCA) remains a public health conundrum with high morbidity and mortality rates. While early identification of high-risk patients could enable preventive interventions and improve survival, evidence on the effectiveness of current prediction methods remains inconclusive. Limited research exists on patients' prearrest pathophysiological status and predictive and prognostic factors of IHCA, highlighting the need for a comprehensive synthesis of predictive methodologies.
View Article and Find Full Text PDFNeurol Neuroimmunol Neuroinflamm
November 2025
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Background And Objectives: Myelitis is a relatively common clinical entity for neurologists, with diverse underlying causes. The aim of this study was to describe the incidence of myelitis, its causes, clinical presentation, and factors predicting functional outcomes and relapses.
Methods: Using the Swedish National Patient Registry, we identified all adult patients in Stockholm County between 2008 and 2018 using International Classification of Diseases, 10th Edition (ICD-10) codes likely to include myelitis.
Diabetes Care
September 2025
Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA.
Objective: This study aimed to evaluate the diabetic eye disease screening continuum at two academic centers and identify its barriers.
Research Design And Methods: We analyzed health records from the University of California, San Francisco and University of California, Irvine to identify primary care patients needing diabetic eye screening. We tracked referrals, screenings, diagnoses, and treatments to evaluate predictors and the impact of an automated referral system.