Publications by authors named "D Andrew Carr"
Stimulant use disorder (StUD) is a rapidly growing concern in the United States, with escalating rates of death attributed to amphetamines and cocaine. No medications are currently approved for StUD treatment, leaving clinicians to navigate off-label medication options. Recent studies suggest that controlled prescription psychostimulants such as dextroamphetamine, methylphenidate, and modafinil are associated with reductions in self-reported stimulant use, craving, and depressive symptoms.
View Article and Find Full Text PDFImportance: Depression and antidepressant use are independently associated with crash risk among older drivers. However, it is unclear what factors impact daily driving that increase safety risk for drivers with depression.
Objective: To examine differences in naturalistic driving behavior and safety between older adults with and without major depressive disorder (MDD).
Background: Dolutegravir (DTG) is an antiviral agent used for the treatment of HIV, however, there is uncertainty over the influence of genetic variation on DTG exposure, and whether it has clinical implications for the efficacy or toxicity in different populations. This systematic review aims to create an overview of the impact of pharmacogenomics (PGx) on DTG exposure, efficacy, and toxicity.
Methods: Publications up to 14 November 2023 were searched and articles were selected on the following criteria: original research articles providing data on people with HIV, data on PGx and either PK or PD or both PD and PGx.
A Multicenter Prospective Cohort Study of Antibiotics for OnabotulinumtoxinA.
Urogynecology (Phila)
December 2024
Importance: Urinary tract infection (UTI) is the most common complication of intradetrusor onabotulinumtoxinA (BTX-A) injection. Despite this, there are no evidence-based guidelines on antibiotic prophylaxis.
Objectives: Our primary aim was to determine whether antibiotic prophylaxis decreased symptomatic, culture-proven UTI rates within 6 weeks of intradetrusor BTX-A injection.
Article Synopsis
- - The study aimed to develop a deep learning segmentation model to locate basal cell carcinoma (BCC) on Mohs surgery (MMS) frozen section slides, which is crucial for precise tumor removal.
- - Researchers utilized a dataset of 348 tissue slides and trained the model using the Ultralytics YOLOv8 framework, achieving varying sensitivity and specificity rates by BCC subtype.
- - Results indicated good overall performance with a sensitivity of 71% and specificity of 75%, but highlighted the need for improved performance metrics for clinical application in segmentation studies.