CT Vascular Pruning Markers Identify Chronic Vasculopathy in Sickle Cell Disease
Automated quantification of small pulmonary vessels correlates with impaired gas exchange and history of pulmonary hypertension.
Wind Instruments Trigger Intraocular Pressure Spikes During High-Pitch Play
A cross-sectional study of 63 musicians finds transient ocular hypertension in wind players independent of the Valsalva maneuver.
Social Media Addiction Linked to Hopelessness and Anhedonia in Youth
Network analysis identifies mood modification and conflict as key bridge symptoms connecting digital addiction to clinical distress.
Virtual Reality and Sleep Metrics Improve Mild Cognitive Impairment Detection
Combining motion tracking and sleep quality data achieves 86.8% sensitivity in identifying patients with early cognitive decline.
Bilateral Intraparietal Sulcus Coordinates Planning and Observation of Manual Tasks
Functional MRI reveals a shared neural hub for executing and observing complex actions, suggesting a unified model for motor control.
Splenic Uptake Variability Challenges Standardized [18F]PSMA-1007 PET Interpretation
A multicenter study finds that 15% of patients show higher tracer uptake in the spleen than parotid glands, complicating lesion scoring.
Competition Enhances Risky Decision-Making Performance via Prefrontal Synchrony in Women
A hyperscanning study reveals that competitive social contexts drive better outcomes through specific neural monitoring and control pathways.
Vascular Procedure Costs Rise 32% as Hospital Margins Erode
A study of five common vascular interventions shows that rising labor and supply costs are significantly outpacing payer reimbursement.
Bereaved Family ACP Participation Boosts Own Planning and Interpersonal Trust
Participation in a loved one's end-of-life planning increases the likelihood of survivors' own advance care planning and reduces anxiety.
Sleep Apnea Affects Nearly 70 Percent of Former Professional Football Players
Untreated sleep apnea in former athletes is linked to significantly higher rates of depression, anxiety, and cognitive impairment.
Machine Learning Identifies Three Subtypes of Comorbid Depression and Anxiety
A 15-feature model using data from 2,951 young adults achieves high predictive accuracy for identifying specific risk and protective profiles.
Four Distinct Internet Addiction Profiles Identified in Nursing Students
Latent profile analysis reveals that health-related problems and withdrawal symptoms drive severity in high-risk student groups.