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Magic in a bottle? A Focused review of factor concentrates for the intraoperative treatment of acquired coagulopathy - Fibrinogen concentrate, prothrombin complex concentrate, and recombinant activated factor VII.
Best Pract Res Clin Anaesthesiol
December 2023
Department of Anesthesia and Pain Management, Sinai Health System, Women's College Hospital, University Health Network, Toronto, Ontario, Canada; Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Ontario, Canada; Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada; Interdepartmental Division of Critical Care, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Goal-directed administration of blood components including red cells, platelets, plasma, and factor concentrates plays a critical role in the management of intraoperative coagulopathy. Increasingly commonly used, purified and recombinant factor concentrates are being recognized for their logistical advantages and potentially superior efficacy. Three- and four-factor prothrombin concentrates, fibrinogen concentrates and activated factor VII have an evolving evidence base relative to frozen plasma and cryoprecipitate.
View Article and Find Full Text PDFAn exploratory study evaluated the 30 most commonly reported medications in the United States food and drug administration's adverse event reporting system that are associated with the occurrence of kidney stones.
Front Pharmacol
December 2024
Department of Urology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Objective: This research project aimed to identify and analyze the top 30 drugs most commonly associated with kidney stone formation using data from the U.S. Food and Drug Administration's Adverse Event Reporting System (FAERS) database.
View Article and Find Full Text PDFRobust and interpretable AI-guided marker for early dementia prediction in real-world clinical settings.
EClinicalMedicine
August 2024
Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, United Kingdom.
Background: Predicting dementia early has major implications for clinical management and patient outcomes. Yet, we still lack sensitive tools for stratifying patients early, resulting in patients being undiagnosed or wrongly diagnosed. Despite rapid expansion in machine learning models for dementia prediction, limited model interpretability and generalizability impede translation to the clinic.
View Article and Find Full Text PDFGlobally, drug-resistant tuberculosis (DR-TB) is responsible for 13% of mortality attributable to antimicrobial resistance. In Ethiopia, extrapulmonary tuberculosis (EPTB) is a significant public health challenge, and drug resistance (DR) in EPTB is often overlooked. In a cross-sectional study conducted between August 2022 and October 2023, we aimed to explore the magnitude of phenotypic drug resistance and identify genetic mutations linked to resistance using 189 Mycobacterium tuberculosis (MTB) isolates cultured from extrapulmonary clinical specimens.
View Article and Find Full Text PDFUnderstanding cellular responses to external stimuli is critical for parsing biological mechanisms and advancing therapeutic development. High-content image-based assays provide a cost-effective approach to examine cellular phenotypes induced by diverse interventions, which offers valuable insights into biological processes and cellular states. In this paper, we introduce MorphoDiff, a generative pipeline to predict high-resolution cell morphological responses under different conditions based on perturbation encoding.
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