Publications by authors named "T S Harrison"

Objective: To establish a reference interval for amino acid profiles for healthy red wolves (Canis rufus).

Methods: Heparinized plasma of 48 red wolves was collected between August 2023 and April 2024 and sent to the University of California-Davis Amino Acid Laboratory for analysis. Reference intervals were created using the published American Society for Veterinary Clinical Pathology reference interval guidelines.

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Introduction: Successful cognitive aging is related to both maintaining brain structure and avoiding Alzheimer's disease (AD) pathology, but how these factors interplay is unclear.

Methods: A total of 109 cognitively normal older adults (70+ years old) underwent amyloid beta (Aβ) and tau positron emission tomography (PET) imaging, structural magnetic resonance imaging (MRI), and cognitive testing. Cognitive aging was quantified using the cognitive age gap (CAG), subtracting chronological age from predicted cognitive age.

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The integration of psychedelic substances into modern Western therapeutic practice has sparked a critical examination of many topics including: efficacy of psychedelics to treat mental health diagnoses without psychotherapeutic intervention, what models of therapy to use, and ethical implications related to altered states of consciousness. Of utmost concern are issues of power dynamics leading to incidents of sexual abuse. These issues underscore the importance of understanding therapeutic dynamics within the context of psychedelic-assisted therapy.

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Background: Optimised use of kidney function information might improve cardiac risk prediction in noncardiac surgery.

Methods: In 35,815 patients from the VISION cohort study and 9219 patients from the POISE-2 trial who were ≥45 yr old and underwent nonurgent inpatient noncardiac surgery, we examined (by age and sex) the association between continuous nonlinear preoperative estimated glomerular filtration rate (eGFR) and the composite of myocardial injury after noncardiac surgery, nonfatal cardiac arrest, or death owing to a cardiac cause within 30 days after surgery. We estimated contributions of predictive information, C-statistic, and net benefit from eGFR and other common patient and surgical characteristics to large multivariable models.

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Importance: People with kidney failure have a high risk of death and poor quality of life. Mortality risk prediction models may help them decide which form of treatment they prefer.

Objective: To systematically review the quality of existing mortality prediction models for people with kidney failure and assess whether they can be applied in clinical practice.

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