Cognitive DysfunctionCOG-MOBNCT05273125
MOBility Disorders Assessment in Patients With Mild COGnitive Disorders
An observational study of Cognitive Dysfunction, run by University Hospital, Lille at 2 sites in France.
Trial summary
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. Read more about this study
- Who is it for?
- Ages 65 years and older
- Conditions the study is for
- Cognitive Dysfunction
- What is being tested?
- Gait disorders and falls risk assessment
- Type of treatment
- Lifestyle or therapy programme
- How many people
- 417 participants
- Where
- 2 sitesFrance
- Study dates
- 9 Sep 2022to Sep 2026
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 65 years and older
- All sexes
- No healthy volunteers
- Older adult
Study population: elderly patients with MCI followed in memory centers
Who may be able to join
- 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
Who cannot join
- 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 locations and contacts
2 sites in 1 country. Contact the study team or a site near you to ask about taking part.
France2 sites, 2 recruiting
- Recruiting
Les Bateliers Chu Lille
Lille, 59037
- Recruiting
Hop Salengro - Hopital B
Lille
About this study
Official title: Multimodal and Longitudinal Assessment of MOBility Disorders in Patients With Mild COGnitive Disorders
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.
Read the detailed description
We will identify predictors of at least one fall; of more than two falls, and of serious falls (e.g. with injuries).
Our hypotheses are that: 1) A combination of variables will predict falls, but the most important will be gait speed, the double task test and orthostatic hypotension; 2) A specific pattern of risks will exist in different subgroups. For example, in the subgroup of cerebral vascular lesions, executive functions could be the most preponderant risk factors; whereas in the absence of any lesions, the type of MCI could be the most preponderant risk factor; 3) There might be other undiscovered causes of falls, such as cardiac arrhythmia or epileptic seizures; 4) We might show some unexpected risk factors for falls such as hearing impairment and loneliness, leading to a more robust prevention strategy; 5) With the incorporation of relevant predictors, we could propose a more efficient and specific decision tree for fall risk in people with MCI.
Participants People will be recruited from the electronic medical record of MCs in three sites in France, Lille, Saint Quentin, and Tours. Lille and Tours are tertiary MCs, whereas Saint Quentin is a community-based MC. For this pilot project, we aim to recruit 417 people over two years.
The inclusion criteria are people diagnosed with MCI1, aged over 65 years and capable of walking at least 4 meters with or without aid. They are not necessarily newly diagnosed in the MC. But if they have already been followed up with in the MC, their last diagnosis should remain MCI.
The exclusion criteria are few: as any medical or psychiatric condition that precludes undertaking the study activities, and absence of informed consent from participants or their proxies. Because the final objective is to implement a feasible plan in MCs, we aim to record data as close as possible to "real world data".
The means and timing of data collection are outlined in Table 1. During the first visit after inclusion, we will record baseline variables, separated into five categories: 1) demographic characteristics, such as age, sex, education level, dwelling place, social support, any human help if relevant; 2) medical history, such as previous falls, vascular risk factors, medication, ongoing pharmacological and non-pharmacological treatment, nutrition state, sexual reproductive history, (age of menopause, hormone replacement therapy); 3) comprehensive neuropsychological assessment: global scales, verbal and non-verbal memory, executive function, visuospatial function, language, and orientation; 4) gait assessment and clinical standardized test, such as orthostatic hypotension, dual task, Short Physical Performance Battery, grip test, Timed-up and go, fear of falling (Modified Falls Efficacy Scale), hearing loss scale, mini Geriatric Depression Scale (GDS) and loneliness (UCLA Loneliness Scale); 5) complementary tests, such as EKG, 3T brain MRI (or CT if contraindication) and blood sample (Vitamin D, vitamin B1, B6, B9, B12, albumin and prealbumin). With the exception of the 4th category, all other data are already collected as part of routine practice for a new patient with MCI diagnosis. With the data collection from the 4th category, the whole evaluation will be 20 to 30 minutes longer, as compared to routine practice.
People and/or their proxies will then be asked to fill out a falls diary during the whole study. For each fall, the following items will be collected: Date; Time; Duration on the ground; Triggers; Preceding symptoms; loss of consciousness (yes/no/unsure from point of view of participants; yes/no/unwitnessed from point of view of proxies); Hospitalization or Emergency; and Injuries.
They will be contacted via a monthly phone call. The purpose of this monthly call is to remind them to fill out the falls diary and to ask about any new event(s) during the last month (new medications for instance).
In the second visit at 6 months, they will be invited to return to the MC for a short consultation. We will perform a clinical examination with gait assessment with clinical standardized tests, as detailed in the 4th category during the first visit. The clinical examination at 6 months is the usual framework in the MC for people with MCI.
The last visit at one year will include a comprehensive neuropsychological assessment, gait assessment with clinical standardized tests and blood sample. We will also collect the adherence of people and clinicians to this study, information about screen failure or lost to follow-up.
- Conditions
- Cognitive Dysfunction
- Being tested
- Gait disorders and falls risk assessment
- Keywords
- Mild Cognitive Impairement, Falls, Predictive factors, Elderly, Gait disorders assessment.
- Medical subject headings
- Cognitive Dysfunction
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Gait disorders and falls risk assessmentBehavioural
Implementation of a standardized assessment of the fall risk and gait disorders in the memory clinic in addition to usual care.
What is being measured
The primary outcome is the main question the study is designed to answer.
Existence of at least one fall
The primary objective is to identify factors predictive of having at least one fall at one year First, the relationship between each candidate risk factor (independent variables) and the presence of at least one fall at one year (binary dependent variable) will be studied by bivariate logistic regression models. For quantitative candidate factors, the log-linearity assumption of the logistic regression model will be tested using cubic spline functions, which models the non-linear effect. The 10 pre-selected factors will be included in a multivariate logistic regression model, regardless of the outcome of the bi-variate analyses. The multivariate analysis will be performed following the recommendations of Peduzzi et al on the number of variables to include in a multivariate model (10 events per estimated parameter).
Measured: 12 months
Secondary outcomes (6)
Comparison between the fall schedule given and kept by the patient and / or his main caregiver and the collection of anamnestic data on the occurrence of falls
We will compare the rate of fall reported in the "fall's diary" to the collection by monthly phone calls
Measured: 6 months and 12 months
Patients enrollment rate
Adherence and acceptability of the multimodal assessment in the memory clinic
Measured: 12 months
Satisfaction rate of caregivers assessed by a specific questionnaire (Likert)
Adherence and acceptability of the multimodal assessment in the memory clinic
Measured: 12 months
Rate of multifallers allowing the comparison of the same variables as those used for the main objective between fallers, non-fallers and multifallers
The number of patients who fall at least more than 2 times during the study period
Measured: 12 months
Rate of serious falls allowing the comparison of the same variables in the subgroup of patients who had had at least one serious fall
The number of falls that lead to an hospitalisation, or fracture
Measured: 12 months
Timeframe until conversion to major cognitive impairment according to the criteria of NIA-AA of 2011
The rate of conversion of major cognitive impairment
Measured: 12 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted10 Mar 2022
- Study start9 Sep 2022
- Primary completionSep 2026 (estimated)
- Study completionSep 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Cognitive DysfunctionStudies of the same condition, open and under way.
- More trials run by University Hospital, LilleThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 417 participants (estimated)
Sponsor and investigators
- Lead sponsor
- University Hospital, Lille
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Yaohua CHEN, MD, Principal investigator, University Hospital, Lille
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05273125
- Sponsor's protocol ID
- 2020_55
- Other IDs
- 2021-A00637-34
- Acronym
- COG-MOB
- Status last verified
- May 2026
- First submitted
- 17 Feb 2022
- Last updated
- 22 May 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 22 May 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Multimodal and Longitudinal Assessment of MOBility Disorders in Patients With Mild COGnitive Disorders
- ClinicalTrials.gov ID
- NCT05273125
- Acronym / sponsor ID
- COG-MOB / 2020_55
- Conditions
- Cognitive Dysfunction
- Keywords
- Mild Cognitive Impairement, Falls, Predictive factors, Elderly, Gait disorders assessment.
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 417 participants (estimated)
- Lead sponsor
- University Hospital, LilleUniversity, hospital or other
- Study start
- 9 Sep 2022 (actual)
- Primary completion
- Sep 2026 (estimated)
- Study completion
- Sep 2026 (estimated)
- First posted
- 10 Mar 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
We will identify predictors of at least one fall; of more than two falls, and of serious falls (e.g. with injuries).
Our hypotheses are that: 1) A combination of variables will predict falls, but the most important will be gait speed, the double task test and orthostatic hypotension; 2) A specific pattern of risks will exist in different subgroups. For example, in the subgroup of cerebral vascular lesions, executive functions could be the most preponderant risk factors; whereas in the absence of any lesions, the type of MCI could be the most preponderant risk factor; 3) There might be other undiscovered causes of falls, such as cardiac arrhythmia or epileptic seizures; 4) We might show some unexpected risk factors for falls such as hearing impairment and loneliness, leading to a more robust prevention strategy; 5) With the incorporation of relevant predictors, we could propose a more efficient and specific decision tree for fall risk in people with MCI.
Participants People will be recruited from the electronic medical record of MCs in three sites in France, Lille, Saint Quentin, and Tours. Lille and Tours are tertiary MCs, whereas Saint Quentin is a community-based MC. For this pilot project, we aim to recruit 417 people over two years.
The inclusion criteria are people diagnosed with MCI1, aged over 65 years and capable of walking at least 4 meters with or without aid. They are not necessarily newly diagnosed in the MC. But if they have already been followed up with in the MC, their last diagnosis should remain MCI.
The exclusion criteria are few: as any medical or psychiatric condition that precludes undertaking the study activities, and absence of informed consent from participants or their proxies. Because the final objective is to implement a feasible plan in MCs, we aim to record data as close as possible to "real world data".
The means and timing of data collection are outlined in Table 1. During the first visit after inclusion, we will record baseline variables, separated into five categories: 1) demographic characteristics, such as age, sex, education level, dwelling place, social support, any human help if relevant; 2) medical history, such as previous falls, vascular risk factors, medication, ongoing pharmacological and non-pharmacological treatment, nutrition state, sexual reproductive history, (age of menopause, hormone replacement therapy); 3) comprehensive neuropsychological assessment: global scales, verbal and non-verbal memory, executive function, visuospatial function, language, and orientation; 4) gait assessment and clinical standardized test, such as orthostatic hypotension, dual task, Short Physical Performance Battery, grip test, Timed-up and go, fear of falling (Modified Falls Efficacy Scale), hearing loss scale, mini Geriatric Depression Scale (GDS) and loneliness (UCLA Loneliness Scale); 5) complementary tests, such as EKG, 3T brain MRI (or CT if contraindication) and blood sample (Vitamin D, vitamin B1, B6, B9, B12, albumin and prealbumin). With the exception of the 4th category, all other data are already collected as part of routine practice for a new patient with MCI diagnosis. With the data collection from the 4th category, the whole evaluation will be 20 to 30 minutes longer, as compared to routine practice.
People and/or their proxies will then be asked to fill out a falls diary during the whole study. For each fall, the following items will be collected: Date; Time; Duration on the ground; Triggers; Preceding symptoms; loss of consciousness (yes/no/unsure from point of view of participants; yes/no/unwitnessed from point of view of proxies); Hospitalization or Emergency; and Injuries.
They will be contacted via a monthly phone call. The purpose of this monthly call is to remind them to fill out the falls diary and to ask about any new event(s) during the last month (new medications for instance).
In the second visit at 6 months, they will be invited to return to the MC for a short consultation. We will perform a clinical examination with gait assessment with clinical standardized tests, as detailed in the 4th category during the first visit. The clinical examination at 6 months is the usual framework in the MC for people with MCI.
The last visit at one year will include a comprehensive neuropsychological assessment, gait assessment with clinical standardized tests and blood sample. We will also collect the adherence of people and clinicians to this study, information about screen failure or lost to follow-up.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 65 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Older adult
- Study population
- elderly patients with MCI followed in memory centers
Key inclusion criteria (3 listed)
- 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
Key exclusion criteria (4 listed)
- 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)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Gait disorders and falls risk assessmentImplementation of a standardized assessment of the fall risk and gait disorders in the memory clinic in addition to usual care. | Behavioural | – |
Primary outcome
Existence of at least one fall
Time frame: 12 months
The primary objective is to identify factors predictive of having at least one fall at one year First, the relationship between each candidate risk factor (independent variables) and the presence of at least one fall at one year (binary dependent variable) will be studied by bivariate logistic regression models. For quantitative candidate factors, the log-linearity assumption of the logistic regression model will be tested using cubic spline functions, which models the non-linear effect. The 10 pre-selected factors will be included in a multivariate logistic regression model, regardless of the outcome of the bi-variate analyses. The multivariate analysis will be performed following the recommendations of Peduzzi et al on the number of variables to include in a multivariate model (10 events per estimated parameter).
6 secondary outcomes
Comparison between the fall schedule given and kept by the patient and / or his main caregiver and the collection of anamnestic data on the occurrence of falls
Time frame: 6 months and 12 months
Patients enrollment rate
Time frame: 12 months
Satisfaction rate of caregivers assessed by a specific questionnaire (Likert)
Time frame: 12 months
Rate of multifallers allowing the comparison of the same variables as those used for the main objective between fallers, non-fallers and multifallers
Time frame: 12 months
Rate of serious falls allowing the comparison of the same variables in the subgroup of patients who had had at least one serious fall
Time frame: 12 months
Timeframe until conversion to major cognitive impairment according to the criteria of NIA-AA of 2011
Time frame: 12 months
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 22 May 2026.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Yaohua CHEN, MD principal investigator
University Hospital, Lille
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Cognitive Dysfunction, run by University Hospital, Lille at 2 sites in France.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 22 May 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in France. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Yaohua CHEN, MD (0320445962, Yaohua.chen@chru-lille.fr), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Existence of at least one fall (time frame: 12 months). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 22 May 2026.