Objectives: To investigate the beneficial outcomes of giving cannabidiol (CBD) 3% over a six-month period in the BPSD, the management of which is a crucial issue for everyday clinical praxis and to compare the progress in BPSD of patients who receive Cannabidiol 3% with those who follow usual medical treatment (UMT) in everyday clinical praxis.
Methods: A total of 20 PwD with severe BPSD were recruited from the database of Alzheimer Hellas with NPI score >30. Ten of them were assigned to UMT, while ten were assigned to a six-month treatment with CBD drops. The follow-up assessment was performed with NPI, both clinically and by structured telephone interview.
Results: The follow-up assessment with NPI showed significant improvement of the BPSD in all our patients who received CBD, and no or limited improvement in the second group, regardless of the underlying neuropathology of dementia.
Conclusions: We suggest that CBD may be a more effective and safe choice for managing BPSD than the typical intervention. Future large randomized clinical trials are needed to re-assure these findings.
Clinical Implications: Healthcare professionals should consider incorporating CBD 3% into their practices to reduce BPSD in PwD. Regular assessments are necessary to ensure long-term effectiveness.
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http://dx.doi.org/10.1080/07317115.2023.2209563 | DOI Listing |
Schizophrenia (Heidelb)
January 2025
Department of Psychiatry, University of Campania "Luigi Vanvitelli", 80138, Naples, Italy.
The present study aimed to investigate the causal relationships among cognitive impairment, psychopathology, and real-life functioning in a large sample of people with schizophrenia, using a data-driven causal discovery procedure based on partial ancestral graphs (PAGs). This method may provide additional insights for the identification of potential therapeutic targets to promote recovery in people with chronic schizophrenia. State-of-the-art instruments were used to assess the study variables.
View Article and Find Full Text PDFLung Cancer
December 2024
Università Vita-Salute San Raffaele, Milan, Italy; Department of Medical Oncology, IRCCS Ospedale San Raffaele, Milan, Italy.
Background: Artificial intelligence (AI) models are emerging as promising tools to identify predictive features among data coming from health records. Their application in clinical routine is still challenging, due to technical limits and to explainability issues in this specific setting. Response to standard first-line immunotherapy (ICI) in metastatic Non-Small-Cell Lung Cancer (NSCLC) is an interesting population for machine learning (ML), since up to 30% of patients do not benefit.
View Article and Find Full Text PDFClin Rev Allergy Immunol
December 2024
Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Olfactory dysfunction (OD) can have serious consequences as it hinders individuals from detecting important warning signals like smoke, spoiled food, and gas leaks. This can significantly impact their nutritional status, eating satisfaction, and overall quality of life. Allergic rhinitis (AR) is a common disease that greatly affects the quality of life and can lead to a decrease, distortion, or complete loss of olfactory ability.
View Article and Find Full Text PDFBackground: Objective and sensitive measures of everyday function are needed for accurate clinical diagnosis and evaluation of outcomes in clinical trials for dementia. However, most objective everyday function measures are difficult to administer and have not been validated against biomarkers of Alzheimer's disease (AD) neuropathology. This study evaluated the neuroimaging correlates of a highly sensitive, ecologically valid, and easily implementable performance-based test of function called the Virtual Kitchen Challenge (VKC).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of California, San Francisco, San Francisco, CA, USA.
Background: In Alzheimer's disease research, subjective report of cognitive and functional decline from participant-study partner (SP) dyads is an efficient method of assessing cognitive impairment and risk of clinical progression. The extent to which discordance (disagreement) between self- and SP-report is associated with diagnosis of cognitive impairment is not known.
Method: We tested the hypothesis that discordance between baseline self- and SP-report Everyday Cognition Scale (ECog) scores was associated with greater probability of mild cognitive impairment (MCI) diagnosis.
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