Background: Deep vein thrombosis (DVT) is a critical and costly health issue. Treatment in the outpatient setting is preferred compared to the inpatient setting. However, there is a lack of evidence regarding how best to identify patients who are ideal for outpatient DVT treatment.
Objective: To design and evaluate a pharmacist-driven screening tool for the identification of patients presenting to the emergency department (ED) at a community hospital with DVT who are appropriate for outpatient treatment.
Methods: This study was conducted in sequential phases: compilation and vetting of screening criteria, descriptive evaluation of criteria through retrospective chart review, and quantification of potential cost savings by avoiding admissions. Criteria were collected via literature search and assembled into a screening tool, which was applied retroactively to a cohort of ED patients admitted with DVT diagnosis.
Results: A screening tool was developed with multidisciplinary input and consisted of 5 categories with individual patient and disease state criteria. The majority (91%) of patients reviewed would not have qualified for outpatient DVT treatment based on the retrospective application of the screening tool. The most common disqualification criteria category was high risk of bleeding/clotting (n = 81), and the most frequently represented parameter within that category was antithrombotic therapy prior to admission (n = 53).
Conclusion: A screening tool may not be the most efficient method for health-care practitioners such as pharmacists to identify ED patients appropriate for outpatient management of DVT. Other avenues should be explored for improving the cost-effective management of these patients.
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http://dx.doi.org/10.1177/0897190019872582 | DOI Listing |
J Med Chem
January 2025
Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Universitetsparken 2, DK-2100 Copenhagen, Denmark.
The Ca/calmodulin-dependent protein kinase II α (CaMKIIα) plays a crucial role in regulating neuronal signaling and higher brain functions, being involved in various brain diseases. Utilization of small molecules targeting the CaMKIIα hub domain has proved to be a promising strategy for specific CaMKIIα modulation and future therapy. Through an structure-based virtual screening campaign, we herein identified 2-arylthiazole-4-carboxylic acids as a new class of high-affinity CaMKIIα hub ligands.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Background: The relationships between pectoralis muscle parameters and outcomes in patients with coronavirus disease 2019 (COVID-19) remain uncertain.
Methods: We systematically searched PubMed, Embase, Web of Science and the Cochrane Library from 1 January 2019 to 1 May 2024 to identify non-overlapping studies evaluating pectoralis muscle-associated index on chest CT scan with clinical outcome in COVID-19 patients. Random-effects and fixed-effects meta-analyses were performed, and heterogeneity between studies was quantified using the I2 statistic.
PLoS One
January 2025
Department of Ophthalmology, Gavin Herbert Eye Institute, University of California Irvine, Irvine, California, United States of America.
Purpose: This study aims to explore the feasibility and performance of three-dimensional ultrasound (3DUS) imaging in ophthalmology using commercially available ultrasound probes adapted to a slit lamp.
Significance: Despite ultrasound's long-standing application in eye care for visualizing ocular components, the evolution of 3DUS technology has remained inactive, with limited development and commercial availability. This study introduces a novel method that could potentially enhance ophthalmic diagnostics and treatment planning by providing comprehensive 3D views of ocular structures using existing ultrasound probes adapted to the conventional slit lamp.
PLoS One
January 2025
Department of Radiology, Yantaishan Hospital, Yantai, Shandong, China.
Diabetic retinopathy, a retinal disorder resulting from diabetes mellitus, is a prominent cause of visual degradation and loss among the global population. Therefore, the identification and classification of diabetic retinopathy are of utmost importance in the clinical diagnosis and therapy. Currently, these duties are extensively carried out by manual examination utilizing the human visual system.
View Article and Find Full Text PDFAnn Rheum Dis
January 2025
Department of Surgery, University of Cambridge, Cambridge, UK.
Objectives: To facilitate the stratification of patients with osteoarthritis (OA) for new treatment development and clinical trial recruitment, we created an automated machine learning (autoML) tool predicting the rapid progression of knee OA over a 2-year period.
Methods: We developed autoML models integrating clinical, biochemical, X-ray and MRI data. Using two data sets within the OA Initiative-the Foundation for the National Institutes of Health OA Biomarker Consortium for training and hold-out validation, and the Pivotal Osteoarthritis Initiative MRI Analyses study for external validation-we employed two distinct definitions of clinical outcomes: Multiclass (categorising OA progression into pain and/or radiographic) and binary.
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