Publications by authors named "J Davidson Richard"

Background: The Bari-SolidAct randomized controlled trial compared baricitinib with placebo in patients with severe COVID-19. A post hoc analysis revealed a higher incidence of serious adverse events (SAEs) among SARS-CoV-2-vaccinated participants who had received baricitinib. This sub-study aimed to investigate whether vaccination influences the safety profile of baricitinib in patients with severe COVID-19.

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Background: Risk stratification is an essential part of evaluating disease severity in patients with pulmonary arterial hypertension (PAH). This study applied the 4-strata COMPERA 2.0 risk model to the Phase 3 PATENT-1/2 studies of riociguat.

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Cues paired with alcohol can be potent drivers of craving, alcohol-seeking, consumption, and relapse. While the ventral pallidum is implicated in appetitive and consummatory responses across several reward classes and types of behaviors, its role in behavioral responses to Pavlovian alcohol cues has not previously been established. Here, we tested the impact of optogenetic inhibition of ventral pallidum on Pavlovian-conditioned alcohol-seeking in male Long Evans rats.

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Article Synopsis
  • PFAS, harmful substances in water, necessitate urgent remediation advancements, leading to the creation of a specialized 3D printed hydrogel designed to capture these contaminants effectively.* -
  • The hydrogel is constructed from a specific combination of materials (DMU-Δ and PDM) using 3D printing techniques, resulting in various porous structures that exhibit impressive uptake capacities and rapid removal rates for PFAS.* -
  • Tests reveal that one variant of the hydrogel can remove about 91% of PFAS from water in just 5 hours, and its efficiency is enhanced by adding positive charges, making these hydrogels a safe and promising solution for addressing PFAS pollution.*
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Article Synopsis
  • The study aimed to find predictors of long-term opioid use in patients who had not previously used opioids and underwent total joint replacement surgeries.
  • Using data from Maine Health System and advanced statistical modeling, the research identified several factors linked to persistent opioid use, such as current smoking, use of antidepressants, PTSD, and high BMI.
  • The predictive model created could help identify patients at risk for continued opioid use post-surgery, enabling targeted interventions to reduce opioid dependency for managing post-operative pain.
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