Present Algorithms and Future Treatments for Alzheimer's Disease

Area of Science:

• Neurology
• Geriatrics
• Pharmacology

Background:

• Alzheimer's disease (AD) affects 47 million globally.
• Current AD treatments manage symptoms, not disease progression.
• Early diagnosis and management improve quality of life.

Purpose of the Study:

• To review current Alzheimer's disease treatment algorithms.
• To discuss emerging disease-modifying therapies for AD.
• To explore future therapeutic strategies for Alzheimer's disease.

Main Methods:

• Narrative literature review.
• Analysis of approved Alzheimer's disease medications.
• Evaluation of emerging and experimental therapies.

Main Results:

• Approved Alzheimer's treatments include cholinesterase inhibitors (ChEIs) and memantine.
• ChEIs are first-line for mild to moderate AD.
• Disease-modifying therapies may require earlier intervention than currently practiced.

Conclusions:

• Current AD treatments focus on symptomatic relief.
• Future AD therapies may need to target earlier disease stages.
• Optimizing treatment algorithms is crucial for managing Alzheimer's disease.