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Antidepressants and Weight Gain: An Update on the Evidence and Clinical Implications.
Curr Obes Rep
January 2025
Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA.
Purpose Of Review: To highlight recent research on antidepressant use and weight change and explore best clinical practices for reducing weight gain and obesity risk in individuals with depression.
Recent Findings: Research on antidepressant use and weight gain suggests that genetic and biological factors including metabolizer phenotypes and inflammation can help to predict an individual's threshold for weight change among specific agents. For individuals with increased susceptibility to metabolic complications, medications including bupropion, fluoxetine, and newer agents (e.
Cost-effectiveness analysis of deep brain stimulation versus treatment as usual for treatment-resistant obsessive-compulsive disorder.
J Neurosurg
January 2025
1Department of Neurosurgery, Baylor College of Medicine, Houston, Texas.
Objective: Deep brain stimulation (DBS) is an effective neurosurgical option for patients with treatment-resistant obsessive-compulsive disorder (OCD). Despite being more costly than neuroablative procedures of comparable efficacy, DBS has gained popularity over the years for its reversibility and adjustability. Although the cost-effectiveness of DBS has been investigated extensively in movement disorders, few economic analyses of DBS for psychiatric disorders exist.
View Article and Find Full Text PDFpyAKI-An open source solution to automated acute kidney injury classification.
PLoS One
January 2025
Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Müunster, Müunster, Germany.
Objective: Acute kidney injury (AKI) is a frequent complication in critically ill patients, affecting up to 50% of patients in the intensive care units. The lack of standardized and open-source tools for applying the Kidney Disease Improving Global Outcomes (KDIGO) criteria to time series, requires researchers to implement classification algorithms of their own which is resource intensive and might impact study quality by introducing different interpretations of edge cases. This project introduces pyAKI, an open-source pipeline addressing this gap by providing a comprehensive solution for consistent KDIGO criteria implementation.
View Article and Find Full Text PDFIntroduction: This study aimed to evaluate the predictive validity and discriminatory ability of clinical outcomes, inflammatory activity, oxidative and vascular damage, and metabolic mechanisms for detecting significant improve maximum heart rate after physical activity training in individuals with psychiatric disorders and obesity comorbid using a longitudinal design and transdiagnostic perspective.
Methods: Patients with major depressive disorder, bipolar disorder and, schizophrenia and with comorbid obesity (n = 29) were assigned to a 12-week structured physical exercise program. Peripheral blood biomarkers of inflammation, oxidative stress, vascular mechanisms, and metabolic activity, as well as neurocognitive and functional performance were assessed twice, before and after intervention.
Basic Science and Pathogenesis.
Alzheimers Dement
December 2024
BITS Pilani Hyderabad Campus, Hyderabad, Telangana, India; RMIT, Melbourne, VIC, Australia.
Background: Myalgic encephalomyelitis (ME) or chronic fatigue syndrome (CFS) is categorized as a complicated disorder of extreme fatigue lasting for at least six months without any underlying medical problem and currently has no concrete treatment regimen. This is associated with neurological complications like brain fog, insomnia, psychiatric disturbances and above all neuroinflammation. A chronic forced swim test model of CFS has been established since more than a decade at our laboratory.
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