Title:2023 Neurology: Common Challenges in Primary Care – Day 3 (Non-Physician)

Faculty: Laurence J. Kinsella, M.D., F.A.A.N. and David E. Riley, M.D. 

Release Date: 7/1/2023 Expiration Date: 7/1/2026

Day 3    

Dementia

Upon completion of this session, the participant should be able to: ^COMP

1. Evaluate patients with mild cognitive impairment or dementia.
2. Diagnose the major syndromes associated with common causes of dementia.
3. Distinguish the conditions that frequently mimic dementia.
4. Manage major complications of dementia.

Multiple Sclerosis

Upon completion of this session, the participant should be able to: ^COMP,EBM

1. Recognize the typical clinical features of multiple sclerosis.
2. Initiate an appropriate series of diagnostic investigations.
3. Formulate an approach to abortive and prophylactic therapy of multiple sclerosis using evidence-based medicine.
4. Anticipate common medical complications of multiple sclerosis.

Peripheral Neuropathy and Neuropathic Pain Management

Upon completion of this session, the participant should be able to: ^{COMP, EBM}

1. Define the spectrum of neuropathic signs, symptoms, and causes.
2. Develop an approach to bedside examination.
3. Discuss the mechanism of neuropathic pain.
4. Apply effective therapies using evidence-based medicine.

An Approach to the Dizzy Patient

Upon completion of this session, using evidence-based medicine, the participant should be able to: ^{COMP, EBM}

1. Detect common presentations of dizziness.
2. Assess the pathophysiology of vertigo and nystagmus.
3. Apply bedside techniques to distinguish dizziness subtypes and identify dangerous causes.
4. Utilize potentially curative treatment for benign positional vertigo.

Libby Zion’s Lesson: Serotonin Syndrome and P450 Drug Interactions

Upon completion of this session, using evidence-based medicine, the participant should be able to: ^COMP

1. Define the clinical features of common drug interactions.
2. List the features of serotonin syndrome and distinguish from other Neurologic drug toxicities.
3. Recognize potential drug interactions and determine how to predict them.
4. Apply a simple clinical algorithm for anticipating and avoiding drug interactions.