Early Diagnosis of Patients With Mild Cognitive Impairment Through the Parameterization of Functional Tests.
Overview
- Phase
- N/A
- Intervention
- Not specified
- Conditions
- Mild Cognitive Impairment
- Sponsor
- University of Malaga
- Locations
- 1
- Primary Endpoint
- Reliability
- Status
- Withdrawn
- Last Updated
- 2 years ago
Overview
Brief Summary
The present study aims to develop an index formed by the variables, functional tests, scales and instruments that best discriminate between healthy subjects and subjects with MCI and that allows the stratification of different levels of severity of MCI, and to validate new systems for the early diagnosis of subjects with mild cognitive impairment.
Detailed Description
Dementia affects 46.8 million people and in 2050 it is expected that there will be between 115-135 million people suffering from dementia. Inside dementias, Mild Cognitive Impairment (MCI) has a prevalence in adults aged ≥65 years of 10-20%. Patients with MCI also show greater progression towards dementia, higher mortality and disability, and a greater use of medical care compared to cognitively normal subjects that converts MCI into an important public health problem, which reinforces the need to perfect clinic assessment procedures to improve the early identification of individuals with MCI. Early diagnosis could allow effective medical treatments that prevent or slow the onset of dementia, and could improve the effectiveness of non-pharmacological interventions. Currently, it can be used an Inertial Sensor and 3D motion capture systems with a camera to analyse kinematics and these instruments are being integrated as a rehabilitation tool in patients. The use of Inertial Sensor and 3D motion capture cameras would help to find fast and cheap assessment methods for professionals.
Investigators
Dr. Antonio I Cuesta-Vargas
PhD
University of Malaga
Eligibility Criteria
Inclusion Criteria
- •Subjects over 60 years of age.
- •Healthy subjects and subjects diagnosed with mild cognitive impairment.
- •Subjects able of filling out questionnaires and performing functional tests.
Exclusion Criteria
- •Participants with neurological pathologies other than mild cognitive impairment.
- •Participation in an experimental study where they receive a treatment.
- •Score on the Mini-Mental State Examination of less than
- •Inability to get up from the chair at least 5 times or 30 seconds
- •Inability to walk 20 meters.
- •Inability to raise up both arms to 90 degrees or lifting 2 kg with the hand.
- •Inability to walk independently without a walking assistance device (cane, crutch or walker).
- •Patients with prescription of beta-blockers.
- •Inability to provide informed consent.
Outcomes
Primary Outcomes
Reliability
Time Frame: 1 hour
The Reliability Box of COSMIN checklist will be used to determinate the Test-Retest reliability of the Inertial Sensor and the 3D cameras. All possible items will be followed.
Kinematic analysis by motion sensor
Time Frame: 1 hour
An Inertial Sensor will pick up positioning, motion and acceleration information from the subject
Kinematic analysis by 3D motion capture
Time Frame: 1 hour
The camera will perform a motion capture of the functional task. This system will calculate the displacement and the time of the functional task.
Responsiveness
Time Frame: 1 hour
The Responsiveness Box of COSMIN checklist will be used to determinate the response to change of the Inertial Sensor and the 3D cameras. All possible items will be followed.
Validity
Time Frame: 1 hour
The Criterion Validity Box of COSMIN checklist will be used to determinate the correlation between data from the Inertial Sensor and the 3D camera. All possible items will be followed.
Secondary Outcomes
- Mini-Mental State Examination (MMSE)(15 min)
- Sonographic parameters(1 hour)
- Geriatric Depression Screening Scale (GDSS)(15 min)
- Katz Index(15 min)
- Lawnton & Brody Scale(15 min)
- Metabolic parameters(1 hour)
- Cardiopulmonary function(1 hour)