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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Neuropsychological Predictors of Long-Term (10 Years) Mild Cognitive Impairment Stability
Luísa Alves1, Sandra Cardoso2, João Maroco3
1Chronic Diseases Research Center, NOVA Medical School, NOVA University of Lisbon, Lisbon, Portugal.
Background:
Although the diagnosis of mild cognitive impairment (MCI) corresponds to a condition likely to progress to dementia, essentially Alzheimer's disease, longitudinal studies have shown that some patients may not convert to dementia and maintain the diagnosis of MCI even after many years.
Objectives:
To determine whether patients that maintain the diagnosis of MCI in the long term (10 years) are really stable or just declining slowly, and to identify clinical and neuropsychological characteristics associated with long-term stability.
Methods:
The Cognitive Complaints Cohort (CCC) was searched for MCI cases who maintained that diagnosis for at least 10 years. For each long-term-stable MCI patient, two MCI patients that converted to dementia during follow-up, matched for age and education, were selected from the same database. The baseline and last neuropsychological evaluations for long-term-stable MCI and converter MCI were compared. Baseline neuropsychological predictors of long-term stability were searched for.
Results:
Long-term-stable MCI (n = 22) and converter MCI (n = 44) patients did not differ in terms of gender distribution, education, age at first assessment and time between symptom onset and first evaluation. Time of follow-up was on average 11 years for long-term-stable MCI and 3 years for converter MCI. The baseline and follow-up neuropsychological tests were not significantly different in long-term-stable MCI patients, whereas a general decline was observed in converter MCI patients. Higher scores on one memory test, the Word Delayed Total Recall, and on the non-verbal abstraction test, Raven's Progressive Matrices, at the baseline predicted long-term (10 years) clinical stability.
Conclusions:
Some patients with MCI remain clinically and neuropsychologically stable for a decade. Better performances at baseline in memory and non-verbal abstraction tests predict long-term stability.
Insights
Some individuals diagnosed with mild cognitive impairment (MCI) remain stable for 10 years. Better baseline performance in memory and non-verbal abstraction tests predicts long-term stability in MCI patients.
Area of Science:
- Neurology
- Neuropsychology
- Geriatrics
Background:
- Mild cognitive impairment (MCI) often precedes dementia, such as Alzheimer's disease.
- However, some MCI patients remain stable for extended periods, not progressing to dementia.
Purpose of the Study:
- To investigate if long-term stable MCI patients (10 years) are truly stable or slowly declining.
- To identify clinical and neuropsychological factors associated with long-term MCI stability.
Main Methods:
- The Cognitive Complaints Cohort (CCC) database was used to identify MCI patients with at least 10 years of stable diagnosis.
- Matched controls included MCI patients who converted to dementia.
- Baseline and follow-up neuropsychological evaluations were compared.
Main Results:
- Long-term stable MCI patients (n=22) and converters (n=44) showed no significant baseline differences in demographics or time to first evaluation.
- Stable MCI patients exhibited consistent neuropsychological test results over time, unlike converters who showed general decline.
- Higher baseline scores on the Word Delayed Total Recall and Raven's Progressive Matrices predicted 10-year clinical stability.
Conclusions:
- A subset of MCI patients demonstrates clinical and neuropsychological stability for a decade.
- Baseline memory and non-verbal abstraction test performance are key predictors of long-term MCI stability.
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