Publications by authors named "M P Morrissey"

Background: Antimicrobial resistance (AMR) is associated with significant human and financial costs, particularly among vulnerable populations like older adults living in long-term care homes (LTCHs). Urinary tract infection (UTI) is the leading indication for antibiotic use in this population, with some estimates suggesting that up to 70% of these prescriptions may be avoidable.

Objective: The purpose of this study is to develop and test novel behavioural science-informed antimicrobial stewardship (AMS) quality improvement strategies in Canadian LTCHs, which aim to decrease unnecessary testing and treatment for residents who lack the minimum clinical signs and symptoms of UTI.

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Purpose: To evaluate whether cumulative impact load and serum biomarkers are related to lower-extremity injury and to determine any impact load and cartilage biomarker relationships in collegiate female basketball athletes.

Methods: This was a prospective longitudinal study evaluating lower-extremity impact load, serum cartilage biomarkers, and injury incidence over the course of a single collegiate women's basketball season. Data were collected from August 2022 to April 2023; no other follow-up after the cessation of the season was conducted in this cohort.

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Macrophages phagocytose, or eat, pathogens, dead cells and cancer cells. To activate phagocytosis, macrophages recognize 'eat me' signals like IgG and phosphatidylserine on the target cell surface. Macrophages must carefully adjust their phagocytic appetite to ignore non-specific or transient eat me signal exposure on healthy cells while still rapidly recognizing pathogens and debris.

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Article Synopsis
  • The study aims to improve sleep stage identification in children using a less resource-intensive method than traditional polysomnography.
  • Researchers analyzed EEG data from 11 normal pediatric polysomnography studies and had raters classify sleep stages based on this data.
  • Results showed strong inter-rater reliability and good agreement with traditional methods, suggesting that density spectral array EEG can effectively identify sleep stages in a clinical setting.
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