View clinical trials related to Dementia Senile.
Filter by:UDDGait™ is a multidisciplinary research project with the overreaching goal of providing an aid for early identification of cognitive impairment and risk of dementia development, thereby providing a basis for adequate symptom relieving and health promoting interventions. A new concept is investigated for this purpose: a "dual-task-test", which implies the combination of a well-established mobility test (Timed Up-and-Go, TUG) with a simultaneous verbal task (i.e. TUG dual-task, TUGdt). This type of test has been judged as a potential aid for early identification of dementia disease. More research is needed to further examine the test's validity, reliability and predictive capacity. The overall aim is to investigate if TUGdt is useful as an aid for prediction of dementia disease. To ensure the results, the aim is also to evaluate the test's measurement properties and to generate normative reference values of healthy control persons.
This is a randomized, double-blind, sham-controlled, adaptive-design pivotal study of sensory stimulation in subjects with mild to moderate Alzheimer's disease. Approximately 530 subjects will be randomized to 12 months of daily treatment with either Active or Sham Sensory Stimulation Systems. Efficacy will be measured using the Alzheimer's Disease Cooperative Study- Activities of Daily Living (ADCS-ADL) assessment and a combined statistical test (CST) of the ADCS-ADL and the Mini-Mental State Exam (MMSE).
We hypothesize that the antioxidant and cytoprotective functions of vitamin E combined with the cortisol-lowering effect of chocolate polyphenols and physical activity may help prevent the age-dependent decline of mitochondrial function and nutrient metabolism in skeletal muscle, key underpinning events in protein-energy malnutrition (PEM) and muscle wasting in the elderly. To test this hypothesis, a vitamin E functionalized dark chocolate rich in polyphenols will be developed with the collaboration of Nestlè Company, and its effects will be investigated combined with physical activity in a 6-month randomized case-control trial on pre-dementia elderly patients, a well-defined population of subjects at risk of undernutrition and frailty. Subjects stabilized on a protein-rich diet (0.9-1.0 g protein/Kg ideal body weight/day) and physical exercise program (High Intensity Interval Training specifically developed for these subjects), will be randomized in 3 groups (n = 34 each): controls (Group A) will maintain the baseline diet and cases will receive either 30 g/day of dark chocolate containing 500 mg total polyphenols (corresponding to 60 mg epicatechin) and 100 mg vitamin E (as RRR-alpha-tocopherol) (Group B) or the high polyphenol chocolate without additional vitamin E (Group C). Diet will be isocaloric and with the same intake of polyphenols and vitamin E in the 3 groups. Muscle mass will be the primary endpoint and other clinical endpoints will include neurocognitive status and previously identified biomolecular indices of frailty in pre-dementia patients. Muscle biopsies will be collected to assess myocyte contraction and mitochondrial metabolism. Laboratory endpoints will include the nutritional compliance to the proposed intervention (blood polyphenols and vitamin E status and metabolism), 24-h salivary cortisol, steroid hormones and IGF-1, and molecular indices of inflammation, oxidant stress, cell death and autophagy. These parameters will be investigated in muscle and blood cells by state-of-the-art omics techniques. Molecular and nutritional findings will also be confirmed in vitro using skeletal myotubes, blood leukocytes and neural cell lines. Clinical and laboratory results will be processed by a dedicated bioinformatics platform (developed with the external collaboration of the omics company Molecular Horizon Srl) to interpret the molecular response to the nutritional intervention and to personalize its application.
This retrospective case control explores the retinal features of dementia associated with neurodegenerative diseases, particularly Alzheimer's disease. By linking a pseudonymised dataset of three-dimensional retinal scans, called optical coherence tomography, with nationally held data on dementia, corresponding characteristics will be evaluated through descriptive statistics and machine learning techniques.