Publications by authors named "E T PRITCHARD"

Article Synopsis
  • Nocardia infections in cats typically show up as skin wounds, but they can also cause pneumonia and other serious conditions; however, localized abdominal infections are rare.
  • This report discusses a five-year-old cat in Australia that experienced a two-month illness marked by fever and loss of appetite, ultimately leading to the discovery of a large retroperitoneal mass.
  • The mass was linked to Nocardia brasiliensis, a bacterium associated with skin infections in humans, while the option for surgical treatment was declined by the cat's owners due to a poor prognosis.
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Article Synopsis
  • Peripheral nerve-crush injury promotes neuromuscular junction (NMJ) recovery, showing improved muscle function as nerve re-innervates, while volumetric muscle loss (VML) leads to permanent muscle function loss and chronic NMJ impairments.
  • In a study with adult mice, researchers compared the effects of nerve-crush versus VML on NMJ remodeling, monitoring recovery over time post-injury.
  • Results indicated that while nerve-crush injury allowed for complete recovery of muscle strength, VML resulted in persistent deficits, along with abnormal signaling and structural changes at the NMJ, with some noted sex differences in recovery rates.
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Article Synopsis
  • The study aims to predict antimicrobial resistance (AMR) at the hospital level in England using machine learning techniques, specifically focusing on historical data of AMR and antimicrobial usage over multiple years.
  • The research employs an Extreme Gradient Boosting (XGBoost) model and compares its predictive capability against other methods, finding XGBoost to offer the best performance, particularly in hospitals experiencing significant changes in AMR prevalence.
  • The results highlight that year-to-year AMR variability is generally low, but specific hospital groups with larger fluctuations can benefit from advanced predictive modeling, aiding in targeted interventions for AMR management.
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Detecting and quantifying changes in the growth rates of infectious diseases is vital to informing public health strategy and can inform policymakers' rationale for implementing or continuing interventions aimed at reducing their impact. Substantial changes in SARS-CoV-2 prevalence with the emergence of variants have provided an opportunity to investigate different methods for doing this. We collected polymerase chain reaction (PCR) results from all participants in the United Kingdom's COVID-19 Infection Survey between August 1, 2020, and June 30, 2022.

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