Fort Mardyck, France

Personalized Management of Psycho-behavioral Symptoms in Alzheimer's Disease: Impact on Health Resources Use

PERSON-AL is a multicentric, interventional, open-label, randomized, parallel-group, stratified by centre, study comparing two arms: usual care versus intervention (personalized care preceded by a standardized assessment) Principal Objective : To evaluate the impact of a personalized intervention for the management of agitation due to psycho-behavioral symptoms on the use of scheduled and unscheduled hospitalizations at 18 months in patients with AD and related disorders. Secondary Objectives: A- To evaluate the impact of a personalized intervention at 18 months on: For the patient: 1. Unscheduled hospitalizations, 2. Severity of agitation symptoms, 3. The frequency and severity of emerging psycho-behavioral symptoms, other than agitation, 4. Prescription of psychotropic drugs, 5. Quality of life. For the caregiver: 6. Distress related to psycho-behavioral symptoms, 7. All causes hospitalizations, 8. Quality of life. B- Evaluate the medico-economic impact of this personalized intervention, and in particular: 1. Its efficiency compared to usual management by means of cost-effectiveness and cost-utility analyses, from the community perspective and over a time horizon of 18 months, 2. The actual cost of patient's standardized assessment and personalized management 3. The use of care and associated costs for the caregiver and the efficiency of caregiver targeted intervention.

Therapeutic Orientation Test in Thrombotic Microangiopathy

ESCAPE : Evaluation of Spinal Conservation by Endoscopic Procedures to Avoid Fusion

Feasibility of Stress Management Education Delivered Via Virtual Classroom in Nursing Homes: a Pilot Study of a RCT

"Machine Learning Analysis of Lingual Colorimetry and MADRS Anxiety-Depression Score in Acupuncture Patients"

This prospective observational study investigates the correlation between lingual colorimetry, captured using readily available and standardized modern photographic tools (iPhone cameras), and anxiety-depression scores evaluated by the Montgomery-Åsberg Depression Rating Scale (MADRS) among patients attending routine acupuncture consultations. Participants will undergo a simple and non-invasive photographic recording of their tongue using an iPhone, ensuring consistent lighting and standardized positioning to minimize variability. Simultaneously, participants will complete the MADRS questionnaire, a widely validated instrument for assessing anxiety and depression severity. No invasive procedures or therapeutic interventions beyond their usual acupuncture care will be performed. The acquired photographic data will be analyzed using machine learning algorithms to identify potential predictive relationships between distinct colorimetric characteristics of the tongue and the MADRS scores. The objective is to determine whether lingual imaging could serve as a reliable, non-invasive biomarker or complementary diagnostic tool for assessing psychological status in clinical practice. This approach leverages everyday technology (smartphones), promoting ease of replication and broader accessibility in clinical environments. Ultimately, findings from this study could facilitate early detection and monitoring of anxiety-depressive disorders, thus enhancing individualized patient care in complementary and integrative medicine.