Publications by authors named "A G Reeves"
Article Synopsis
- AI-CAC automated left atrial volumetry offers more actionable insights compared to traditional methods like the Agatston coronary artery calcium score, predicting atrial fibrillation (AF) as early as one year.
- The study evaluated the effectiveness of AI-CAC against human-measured left atrial volumes using cardiac magnetic resonance imaging (CMRI) in predicting AF and stroke, alongside established risk scores and biomarkers.
- Results showed that AI-CAC and CMRI provided similar predictive capabilities for AF and stroke over a 15-year period, indicating potential for AI-CAC in clinical settings, but further research is needed to confirm its utility.
Wildlife species are routinely captured for translocation, general health monitoring, and research-based pursuits to guide wildlife management. Mule deer () were captured for various research projects and management actions in the Trans-Pecos and Panhandle regions of Texas from 2015 to 2019. The objective of this study was to develop hematologic and biochemical parameters for free-ranging mule deer in Texas and to develop a health monitoring system for current and future mule deer population management.
View Article and Find Full Text PDFExamining the Factor Structure and Validity of the Depression Anxiety Stress Scale-21.
Eur J Investig Health Psychol Educ
November 2024
Background: The prevalence of mental health disorders calls for valid and reliable instruments that are easy to administer and assess for clinicians and researchers. The Depression Anxiety Stress Scale-21 (DASS-21) is a commonly used instrument to assess psychological distress; however, model fit and internal reliability issues have been reported. Our objective was to assess the factorial and structural validity of the DASS-21.
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