[The impact of cannabis on psychiatric symptoms: A cross-sectional study on people with severe mental disorder].

Objective Cannabis is the most commonly used drug in the general population, but its prevalence of use remains higher among people suffering from severe mental disorders. Nevertheless, current cannabis research showed it to be deleterious on psychiatric symptoms, especially among patients with severe mental disorders. This present cross-sectional study aims to evaluate the impact of cannabis consumption on the psychiatric symptomatology of people with a serious mental disorder by controlling for the confounding variables of age, sex and concomitant alcohol or stimulant consumption.

[An integrative review documenting creativity in the utilization of digital health and artificial intelligence at the Institut universitaire en santé mentale de Montréal].

Objective Founded in 1873, the Institut universitaire en santé mentale de Montréal (IUSMM) has a captivating history that significantly reflects the evolution of psychiatry over the years. In recent years, the primary sectors of modern medicine have turned to digital health innovations to enhance patient care development. The main objective of this review is to document advancements in digital health within the IUSMM and its affiliated research center over the past 150 years.

Avatar Intervention in Virtual Reality for Cannabis Use Disorder in Individuals With Severe Mental Disorders: Results From a 1-Year, Single-Arm Clinical Trial.

Background: The dual diagnosis of cannabis use disorder (CUD) and severe mental disorder (SMD) results in clinically complex individuals. Cannabis use is known to have negative consequences on psychiatric symptoms, medication compliance, and disease prognosis. Moreover, the effectiveness of currently available psychotherapeutic treatments is limited in this population.

Exploring the Intersection of Schizophrenia, Machine Learning, and Genomics: Scoping Review.

Background: An increasing body of literature highlights the integration of machine learning with genomic data in psychiatry, particularly for complex mental health disorders such as schizophrenia. These advanced techniques offer promising potential for uncovering various facets of these disorders. A comprehensive review of the current applications of machine learning in conjunction with genomic data within this context can significantly enhance our understanding of the current state of research and its future directions.

Senescence and Inflamm-Aging Are Associated With Endothelial Dysfunction in Men But Not Women With Atherosclerosis.

Coronary artery disease (CAD) is more prevalent in men than in women, with endothelial dysfunction, prodromal to CAD, developing a decade earlier in middle-aged men. We investigated the molecular basis of this dimorphism ex vivo in arterial segments discarded during surgery of CAD patients. The results reveal a lower endothelial relaxant sensitivity in men, and a senescence-associated inflammaging transcriptomic signature in endothelial cells.

[Agency: occupational therapists' perspectives on their sense of competence and their skills following training].

Context: To tackle the systemic injustices experienced by people in vulnerable situations, occupational therapists' agency, i.e. their power to act, is necessary.

The Relationship between Sense of Presence, Emotional Response, and Clinical Outcomes in Virtual Reality-Based Therapy for Treatment-Resistant Schizophrenia: An Exploratory Correlational Study.

Avatar therapy (AT) is a novel virtual reality-based psychotherapy that has been developed to treat auditory verbal hallucinations (AVH) in treatment-resistant schizophrenia. Various psychotherapeutic components, such as emotions and sense of presence, could contribute to clinical outcomes. However, the interplay between sense of presence, emotions, and clinical response has seldom been investigated.

[Preventing decline of autonomy through the promotion of mental health: a randomized clinical trial for older adults with disabilities].

Among older adults with disabilities, maintaining active aging can often be compromised. However, the literature highlights a positive link between mental health and autonomy on one hand, and self-determined motivation on the other. Therefore, self-determined motivation may be improved by promoting mental health and, in the end, older adults autonomy.

The Future of Food Allergy Management: Advancements in Therapies.

Purpose Of Review: To review current and future treatment options for IgE-mediated food allergy.

Recent Findings: Recent years have seen major developments in both allergen-specific and allergen-non-specific treatment options, with the first FDA-approved peanut oral immunotherapy (OIT) product becoming available in 2020. In addition to OIT, other immunotherapy modalities, biologics, adjunct therapies, and novel therapeutics are under investigation.

SB-258585 reduces food motivation while blocking 5-HT receptors in the non-human primate striatum.

The interest in new 5-HT₆ agents stems from their ability to modulate cognition processing, food motivation and anxiety-like behaviors. While these findings come primarily from rodent studies, no studies on primates have been published. Furthermore, our understanding of where and how they act in the brain remains limited.

Impact of heterozygous ALK1 mutations on the transcriptomic response to BMP9 and BMP10 in endothelial cells from hereditary hemorrhagic telangiectasia and pulmonary arterial hypertension donors.

Heterozygous activin receptor-like kinase 1 (ALK1) mutations are associated with two vascular diseases: hereditary hemorrhagic telangiectasia (HHT) and more rarely pulmonary arterial hypertension (PAH). Here, we aimed to understand the impact of ALK1 mutations on BMP9 and BMP10 transcriptomic responses in endothelial cells. Endothelial colony-forming cells (ECFCs) and microvascular endothelial cells (HMVECs) carrying loss of function ALK1 mutations were isolated from newborn HHT and adult PAH donors, respectively.

Enhancing Predictive Power: Integrating a Linear Support Vector Classifier with Logistic Regression for Patient Outcome Prognosis in Virtual Reality Therapy for Treatment-Resistant Schizophrenia.

(1) Background: Approximately 30% of schizophrenia patients are known to be treatment-resistant. For these cases, more personalized approaches must be developed. Virtual reality therapeutic approaches such as avatar therapy (AT) are currently undergoing investigations to address these patients' needs.

Level of implementation of pain management and early mobilization strategies to prevent delirium in geriatric trauma patients: A mixed-methods study.

Background: Pain management and early mobilization strategies are recommended in clinical practice guidelines for the prevention of delirium in older adults. However, available data on the implementation of these strategies in trauma are limited.

Aims: To describe the use of pain management and early mobilization strategies in older adults at a level I trauma center, as well as the facilitators and barriers to their implementation.

Fear of Reprisal and Change Agency in the Public Health and Social Service System: Protocol for a Sequential Mixed Methods Study.

Background:  Since they are key witnesses to the systemic difficulties and social inequities experienced by vulnerable patients, health and social service (HSS) professionals and clinical managers must act as change agents. Using their expertise to achieve greater social justice, change agents employ a wide range of actions that span a continuum from the clinical (microsystem) to the societal (macrosystem) sphere and involve actors inside and outside the HSS system. Typically, however, clinical professionals and managers act in a circumscribed manner, that is, within the clinical sphere and with patients and colleagues.

Unsupervised Machine Learning Driven Analysis of Verbatims of Treatment-Resistant Schizophrenia Patients Having Followed Avatar Therapy.

(1) Background: The therapeutic mechanisms underlying psychotherapeutic interventions for individuals with treatment-resistant schizophrenia are mostly unknown. One of these treatment techniques is avatar therapy (AT), in which the patient engages in immersive sessions while interacting with an avatar representing their primary persistent auditory verbal hallucination. The aim of this study was to conduct an unsupervised machine-learning analysis of verbatims of treatment-resistant schizophrenia patients that have followed AT.

Avatar Intervention for Cannabis Use Disorder in Individuals with Severe Mental Disorders: A Pilot Study.

Cannabis use disorder (CUD) is a complex issue, even more so when it is comorbid with a severe mental disorder (SMD). Available interventions are at best slightly effective, and their effects are not maintained over time. Therefore, the integration of virtual reality (VR) may increase efficacy; however, it has not yet been investigated in the treatment of CUD.

Potential assistive technology preferences of informal caregivers of people with disability.

Background: Preferences of informal caregivers of people with neurocognitive disorders for technological solutions are important in user- centered design approaches. It is crucial to take into consideration the needs and preferences of users when developing new technology to facilitate their uptake.

Objectives: The objective of this study was to determine caregiver preferences for potential technological solutions to help address their needs and compare technology preferences of caregivers who provide care to those with and without neurocognitive disorders (NCD).

[Promoting the mental health of elderly people with physical disabilities: a systematic review of available home and facility-based interventions].

Introduction: Promoting the mental health of vulnerable elderly patients is a public health priority.

Context: In many cases, mental health interventions for elderly people are not appropriate for those with multiple physical disabilities.

Objectives: This article aims to provide gerontology professionals with an overview of the types of interventions available based on their practice setting (home or long-term care facility) and the characteristics of the people who use them (over 75 years old with physical disabilities).

Dyadic Interactions of Treatment-Resistant Schizophrenia Patients Having Followed Virtual Reality Therapy: A Content Analysis.

(1) Background: Very little is known about the inner therapeutic processes of psychotherapy interventions for patients suffering from treatment-resistant schizophrenia. Avatar therapy (AT) is one such modalities in which the patient is undergoing immersive sessions in which they interact with an Avatar representing their main persistent auditory verbal hallucination. The aim of this study is to identify the most prevalent dyadic interactions between the patient and the Avatar in AT for patient's suffering from TRS.

Multimodal CRISPR perturbations of GWAS loci associated with coronary artery disease in vascular endothelial cells.

Genome-wide association studies have identified >250 genetic variants associated with coronary artery disease (CAD), but the causal variants, genes and molecular mechanisms remain unknown at most loci. We performed pooled CRISPR screens to test the impact of sequences at or near CAD-associated genetic variants on vascular endothelial cell functions. Using CRISPR knockout, inhibition and activation, we targeted 1998 variants at 83 CAD loci to assess their effect on three adhesion proteins (E-selectin, ICAM1, VCAM1) and three key endothelial functions (nitric oxide and reactive oxygen species production, calcium signalling).