About this trial
Mild cognitive impairment (MCI) is defined by lower performance in one or more cognitive domains with preservation of independence in functional abilities. Sixteen percent of community-dwelling older people (over 65 years) live with MCI. They are both cognitively and physically vulnerable. From a cognitive perspective, they are susceptible to converting to the dementia stage at an annual rate of 10%. From a physical perspective, the proportion of slow gait or neurological gait abnormalities can reach 46% in the population with MCI. Falls in turn increase the risk of accelerated cognitive decline and the risk of institutionalization. In the absence of a curative treatment for dementia, it is essential to have an effective and personalized prevention strategy by identifying the predictive factors for falls in this at-risk population with MCI.
The research goals of this project are 1) to identify specific predictors for falls in clinic attendees with MCI in preparation for a definitive, fully powered study across France, and 2) to demonstrate the feasibility of a pragmatic fall risk assessment in MCs, whatever its setting and location.
We aim to prospectively follow-up people diagnosed with MCI and aged above 65 years old in four MCs in France (three in the North (one community-based MC), and one in the Centre) for one year.
Eligibility criteria
Qualifiers
Patient being diagnosed with MCI, according to the 2011 criteria
Able to walk 4 meters with or without technical assistance
Comprehension of French language allowing the realization of the neuropsychological assessment
Disqualifiers
Severe visual or hearing impairment that does not allow the assessment
Severe pathology that makes follow-up impossible
Administrative reasons: inability to receive informed information, inability to participate in the entire study, lack of social security insurance, refusal to sign consent form
Under legal protection (guardianship, curatorship, safeguard of justice)
Trial design
Treatments tested in this trial
- Gait disorders and falls risk assessment