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Background & Aims: Pregnancy can be a complex and risk-filled event for women with inflammatory bowel disease (IBD). High-quality studies in this population are lacking, with limited data on medications approved to treat IBD during pregnancy. For patients, limited knowledge surrounding pregnancy impacts pregnancy rates, medication adherence, and outcomes. Limited provider knowledge leads to highly varied practices in care affected by local dogma, available resources, individual interpretation of the literature, and fear of harming the fetus. The variations in guidelines by different societies and countries reflect this and lead to confusion for physicians and patients alike. The Global Consensus Consortium is a group of 39 IBD and content experts and 7 patient advocates from 6 continents who convened to review and assess current data and come to an agreement on best practices based on these data.
Methods: The GRADE (Grading of Recommendations Assessment, Development, and Evaluation) process was used when sufficient published data were available and the RAND (Research and Development) process in those instances where expert opinion was needed to guide consistent practice. Recommendations were informed by the guiding principle that maternal health best supports infant health.
Results: The topics were divided into ten categories with 34 GRADE recommendations and 35 consensus statements.
Conclusions: Overall, the goal of the group was to provide data-driven and practical guidance to improve the care of women with IBD around the globe based on the best available research.
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http://dx.doi.org/10.1016/j.cgh.2025.04.005 | DOI Listing |
JMIR Res Protoc
September 2025
Department of Food Science and Technology, Kaunas University of Technology, Kaunas, Lithuania.
Background: Fermented foods vary significantly by food substrate and regional consumption patterns. Although they are consumed worldwide, their intake and potential health benefits remain understudied. Europe, in particular, lacks specific consumption recommendations for most fermented foods.
View Article and Find Full Text PDFNeuropsychiatr Dis Treat
August 2025
Department of Psychiatry and Behavioral Sciences, New York Medical College, Valhalla, New York, USA.
Brexpiprazole is a second-generation antipsychotic with multiple indications, including the treatment of schizophrenia. As a partial dopamine agonist, brexpiprazole differs from most other antipsychotics, yet uncertainties about its full mechanism of action have led to some ambiguity among prescribers. To address this gap, an international panel of psychiatric experts was organized and convened with funding from Otsuka Pharmaceutical Europe Ltd and H.
View Article and Find Full Text PDFDepress Anxiety
September 2025
Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.
The therapeutic effects of vortioxetine on mood and cognition have been documented in major depressive disorder (MDD). This study aims to examine whether vortioxetine can improve brain glymphatic system function and connections among functional brain networks and to explore the underlying relationships among these changes. A total of 34 patients with MDD and 41 healthy controls (HCs) were recruited in the study.
View Article and Find Full Text PDFCurr Drug Saf
September 2025
Department of Pharmaceutics, Jayawantrao Sawant College of Pharmacy and Research, Savitribai Phule Pune University, Pune, 411028, India.
The drug approval and review process plays a crucial role in the pharmaceutical industry, aiming to ensure that newly marketed drugs are safe, effective, and of high quality. Regulatory authorities overseeing this process, tailored to geographically distinct needs, include the U.S.
View Article and Find Full Text PDFJ Magn Reson Imaging
September 2025
Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
Background: Automated cardiac MR segmentation enables accurate and reproducible ventricular function assessment in Tetralogy of Fallot (ToF), whereas manual segmentation remains time-consuming and variable.
Purpose: To evaluate the deep learning (DL)-based models for automatic left ventricle (LV), right ventricle (RV), and LV myocardium segmentation in ToF, compared with manual reference standard annotations.
Study Type: Retrospective.