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| http://dx.doi.org/10.1183/09031936.00214114 | DOI Listing |
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Case report: Treatable immune-mediated severe orthostatic hypotension in SARS-CoV-2 infection.
Front Neurosci
January 2025
Service of Neurology, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.
We report a patient with autonomic dysfunction following acute SARS-CoV-2 infection, presenting progressively worsening severe orthostatic hypotension to the point where she could no longer sit or stand. The patient experienced a delay in diagnosis after an initial misdiagnosis of a functional neurological disorder. Persistent orthostatic symptoms prompted us to re-examine the diagnosis and explore other diagnostic tools, which ultimately allowed us to identify and treat severe immune-mediated orthostatic hypotension (OH).
View Article and Find Full Text PDFcolonization and undernutrition in infants in rural eastern Ethiopia - a longitudinal community-based birth cohort study.
Front Public Health
January 2025
Department of Animal Sciences, Global Food Systems Institute, and Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States.
Background: is associated with environmental enteric dysfunction (EED) and malnutrition in children. infection could be a linchpin between livestock fecal exposure and health outcomes in low-resource smallholder settings.
Methods: We followed a birth cohort of 106 infants in rural smallholder households in eastern Ethiopia up to 13 months of age.
Exploration of optimal thresholds for predicting the invasive nature of stage T1 lung adenocarcinoma using artificial intelligence-based 3D solid component volume segmentation.
Quant Imaging Med Surg
January 2025
Department of Thoracic Surgery, The Fifth Clinical Medical College of Henan University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou, China.
Background: The accuracy of intraoperative rapid frozen pathology is suboptimal, and the assessment of invasiveness in malignant pulmonary nodules significantly influences surgical resection strategies. Predicting the invasiveness of lung adenocarcinoma based on preoperative imaging is a clinical challenge, and there are no established standards for the optimal threshold value using the threshold segmentation method to predict the invasiveness of stage T1 lung adenocarcinoma. This study aimed to explore the efficacy of three-dimensional solid component volume (3D SCV) [calculated by artificial intelligence (AI) threshold segmentation method] in predicting the aggressiveness of T1 lung adenocarcinoma and to determine its optimal threshold and cut-off point.
View Article and Find Full Text PDFA Universal Therapeutic Vaccine Leveraging Autologous Pre-Existing Immunity to Eliminate in Situ Uniformly Engineered Heterogeneous Tumor Cells.
Adv Mater
January 2025
Sichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics, Department of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610054, P. R. China.
Tumor vaccines that activate the autologous immune system to eliminate tumor cells represent a promising approach in cancer immunotherapy. However, challenges such as tumor heterogeneity, limited antigen selection, insufficient antigen presentation, and the slow onset of de novo immune responses have resulted in poor universality and suboptimal response rates. In contrast, pathogen-specific pre-existing immunity acquired through infection or vaccination, can rapidly generate a more potent and enduring immune response upon re-encounter with the same antigen.
View Article and Find Full Text PDFRisk of bias tools for medication adherence research: RoBIAS and RoBOAS.
Br J Clin Pharmacol
January 2025
Sydney Pharmacy School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
Aims: An unbiased means of documenting medication-taking is important to ensure quality evidence about adherence research and to accurately identify individuals at risk of suboptimal adherence for the development of targeted and effective interventions. Guidance to assist researchers in the understanding of risk of bias when conducting or reviewing adherence research is currently not available. To address this gap, tools to identify and gauge the magnitude of important biases that may impact adherence research have been developed.
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