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A Neurologist's Practical Approach to Cognitive Impairment.
Philip W Tipton1, Gregory S Day1, Neill Graff-Radford1
1Department of Neurology, Mayo Clinic, Jacksonville, Florida.
Seminars in Neurology
|November 26, 2021
Summary
A growing dementia crisis requires accurate diagnosis. This study presents a practical, algorithmic approach to systematically evaluate cognitive impairment and guide clinical decisions for better patient outcomes.
Area of Science:
- Neurology
- Geriatrics
- Public Health
Background:
- Global dementia prevalence is projected to triple by 2050, creating a significant public health challenge.
- Increased public awareness and concern are leading more individuals to seek medical attention for cognitive issues.
- Accurate and timely diagnosis of cognitive impairment is crucial for effective patient management.
Purpose of the Study:
- To present a practical, algorithmic strategy for the diagnosis of cognitive impairment.
- To guide clinicians in systematically evaluating cognitive function and determining appropriate next steps.
- To address the complexities of cognitive impairment associated with motor abnormalities or rapid progression.
Main Methods:
- Development of a diagnostic algorithm for cognitive impairment.
- Systematic evaluation of various functional domains.
- Integration of clinical findings to inform diagnostic pathways.
Main Results:
- The proposed algorithm provides a structured method for assessing cognitive impairment.
- The approach facilitates the determination of impairment presence and severity.
- Guidance is offered for managing complex cases, including those with motor or rapid progression features.
Conclusions:
- A systematic, algorithmic approach is essential for accurate diagnosis of cognitive impairment.
- This strategy aids clinicians in navigating the increasing demand for cognitive assessments.
- Effective diagnostic pathways are critical for addressing the growing dementia epidemic.
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