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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Mild cognitive impairment--the continuing challenge of its "real-world" detection and diagnosis
1King's College London, Institute of Psychiatry, London, UK. robert.stewart@kcl.ac.uk
Abstract:
Although mild cognitive impairment (MCI) is a controversial entity with variable application in clinical and epidemiological research, it remains an important construct in terms of targeting interventions to prevent dementia. However, very little is known about how MCI may be recognized during clinical attention in routine practice. This work was undertaken to summarize recent findings relevant to the presentation and initial detection of MCI. A narrative review is presented of literature relevant to the presentation and detection of MCI in primary care. Population screening for impaired cognitive function and/or informant-reported decline/impairment is unlikely to be feasible or acceptable. MCI detection will therefore rely largely on subjective memory complaint (SMC) as a presenting symptom, accepting the fact that, although possibly a valid self-appraisal of underlying function in older persons, SMC is heterogeneous in its etiology and poorly predicts medium-term dementia risk. SMC is common in older populations when asked about and is often concerning to the person acknowledging it. However, it is rarely reported to general practitioners. Help-seeking of this nature is influenced partly by the perceived severity of the symptom but also by contextual factors such as concerns about a family history of dementia, although very little research has investigated this. If an intervention were proven to be effective for preventing transition from MCI to dementia in the near future, there would be a serious lack of knowledge about how MCI can be identified in routine clinical practice.
Insights
Recognizing mild cognitive impairment (MCI) in routine practice is challenging. Subjective memory complaints are common but rarely reported to doctors, hindering early detection and intervention for dementia prevention.
Area of Science:
- Gerontology
- Neurology
- Primary Care Medicine
Background:
- Mild cognitive impairment (MCI) is a critical target for dementia prevention interventions.
- Current understanding of MCI detection in routine clinical practice is limited.
- MCI's controversial nature impacts its application in research and clinical settings.
Purpose of the Study:
- To summarize recent findings on the presentation and initial detection of MCI.
- To explore how MCI is recognized in primary care settings.
- To identify challenges in identifying MCI for timely intervention.
Main Methods:
- A narrative review of existing literature.
- Focused on studies concerning MCI presentation and detection in primary care.
- Examined the role of subjective memory complaint (SMC) as a presenting symptom.
Main Results:
- Population-based screening for cognitive impairment is deemed impractical and unacceptable.
- Subjective memory complaint (SMC) is the primary symptom for MCI detection, despite its heterogeneity and poor predictive value for dementia risk.
- Older adults rarely report SMC to general practitioners, influenced by perceived symptom severity and contextual factors like family history of dementia.
Conclusions:
- There is a significant knowledge gap regarding MCI identification in routine clinical practice.
- Effective interventions for preventing dementia progression from MCI are hindered by poor detection methods.
- Further research is needed to improve the recognition of MCI in primary care to facilitate early intervention.
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