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Development of the Lee Symptom Scale-Skin Sclerosis for chronic GVHD-associated sclerosis.
Blood
January 2025
Fred Hutchinson Cancer Center, Seattle, Washington, United States.
Sclerosis is a highly morbid manifestation of chronic GVHD (cGVHD), associated with distressing symptoms and significant long-term disability. A patient-reported outcome measure (PRO) for cGVHD-associated sclerosis is essential to advance therapeutic trials. We aimed to develop a PRO for adults with cGVHD-associated sclerosis and evaluate and refine its content validity.
View Article and Find Full Text PDFQuality assessment of fish vaccine data in the Norwegian Veterinary Prescription Register (VetReg).
BMC Vet Res
January 2025
Norwegian Veterinary Institute, Elizabeth Stephansens Vei 1, Ås, 1433, Norway.
Background: Vaccination of farmed salmonids has been an integral part of preventing infectious diseases in Norway's aquaculture industry. In Norway, vaccine usage is regulated by the government. There is a need to monitor vaccine usage for both regulatory and research purposes, at local and national scales.
View Article and Find Full Text PDFINSIGHT: A Tool for Fit-for-Purpose Evaluation and Quality Assessment of Standardized Observational Data Sources for Real World Evidence on Medicine and Vaccine Safety.
Pharmacoepidemiol Drug Saf
January 2025
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Purpose: To describe the development of INSIGHT, a real-world data quality tool to assess completeness, consistency, and fitness-for-purpose of observational health data sources.
Methods: We designed a three-level pipeline with data quality assessments (DQAs) to be performed in ConcePTION Common Data Model (CDM) instances. The pipeline has been coded using R.
Subregions in the ventromedial prefrontal cortex integrate threat and protective information to meta-represent safety.
PLoS Biol
January 2025
Humanities and Social Sciences, California Institute of Technology, Pasadena, California, United States of America.
Pivotal to self-preservation is the ability to identify when we are safe and when we are in danger. Previous studies have focused on safety estimations based on the features of external threats and do not consider how the brain integrates other key factors, including estimates about our ability to protect ourselves. Here, we examine the neural systems underlying the online dynamic encoding of safety.
View Article and Find Full Text PDFPhenotypic antibiotic resistance prediction using antibiotic resistance genes and machine learning models in Mannheimia haemolytica.
Vet Microbiol
January 2025
Purdue University, Department of Animal Sciences, West Lafayette, IN 47907 USA. Electronic address:
Mannheimia haemolytica is one of the most common causative agents of bovine respiratory disease (BRD); however, antibiotic resistance in this species is increasing, making treatment more difficult. Integrative-conjugative elements (ICE), a subset of mobile genetic elements (MGE), encoding up to 100 genes have been reported in Mannheimia haemolytica genomes to confer multidrug resistance, including resistance to antibiotics commonly used in the treatment of BRD. However, the presence of antibiotic resistance genes (ARGs) does not always agree with phenotypic resistance.
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