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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Timely Detection of Mild Cognitive Impairment in Italy: An Expert Opinion
Angelo Bianchetti1,2,3, Nicola Ferrara2,3,4, Alessandro Padovani5
1Dipartimento di Medicina e Riabilitazione, Istituto Clinico S. Anna-Gruppo San Donato, Brescia, Italy.
Abstract:
Mild cognitive impairment (MCI) generally evolves in a gradually progressive decline in memory and non-memory cognitive domains that may eventually decay to dementia. This process might be preventable by improving early detection of the MCI syndrome followed by proper and timely interventions. The aim of this work was providing helpful indications for a standardized early diagnosis of MCI, mainly focusing on the Italian elderly population. We reviewed here MCI epidemiology and classification, as well as the most recent advancements in early detection of the patient with MCI in the Italian scenario. Specialist centers in connection with general practitioners (GPs) have been established across the country and designated as Centers for Cognitive Disorders and Dementia (CDCD). CDCDs are dedicated to the diagnosis and management of patients for all forms of dementia across all the complex staging spectrum. New tools were made available by the advancements of imaging techniques and of the research on biomarkers, leading to novel approaches based on the combination of imaging and biomarker detection, to improve accuracy and effectiveness in the early diagnosis of MCI. Moreover, patient genotyping, alone or in combination with other techniques, was also revealed as a promising method in evaluating and preventing MCI progression. We recommend the introduction of all these novel tools in the diagnostic practice of the specialist centers and that further efforts and resources are spent into the research of the most effective techniques and biomarkers to be introduced as first-level tests into the practice of early diagnosis of MCI.
Insights
Early detection of mild cognitive impairment (MCI) in Italy is key to preventing dementia. New diagnostic tools, including imaging and biomarkers, show promise for timely intervention in the elderly.
Area of Science:
- Neurology
- Geriatrics
- Cognitive Science
Background:
- Mild cognitive impairment (MCI) is a progressive decline that can lead to dementia.
- Early detection and intervention are crucial for potentially preventing dementia progression.
- The Italian elderly population presents a specific focus for MCI diagnosis and management.
Purpose of the Study:
- To provide guidance for the standardized early diagnosis of MCI.
- To review MCI epidemiology, classification, and recent advancements in early detection within Italy.
- To highlight novel diagnostic approaches for improving MCI detection accuracy.
Main Methods:
- Review of MCI epidemiology and classification.
- Analysis of advancements in imaging techniques and biomarker research for MCI detection.
- Evaluation of patient genotyping as a potential diagnostic and preventative tool.
- Examination of the role of Centers for Cognitive Disorders and Dementia (CDCDs) in Italy.
Main Results:
- Novel approaches combining imaging and biomarkers enhance early MCI diagnosis accuracy.
- Patient genotyping shows promise for evaluating and preventing MCI progression.
- Specialist centers (CDCDs) are established for comprehensive dementia care.
Conclusions:
- Recommend integrating advanced imaging, biomarkers, and genotyping into diagnostic practices.
- Advocate for increased research and resources to identify effective first-line MCI diagnostic tests.
- Emphasize the importance of a standardized, timely approach to MCI diagnosis in the Italian elderly population.
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