NYMC Faculty Publications
The Application of a Spreadsheet Algorithm for use by Physicians for Evaluating Patients Manifesting Alzheimer’s Symptoms in Areas Endemic for Lyme and Other Tick Borne Infections
Author Type(s)
Faculty
Journal Title
EC Neurology
First Page
1
Last Page
4
Document Type
Article
Publication Date
1-31-2020
Department
Neurology
Abstract
It is important to be able to distinguish Alzheimer’s Disease from Lyme Neuroborreliosis. Lyme Neuroborreliosis can be treated with antibiotics if detected in the early stages. There isn’t any cure for Alzheimer’s Disease at the present time. Markers for Alzheimer’s Disease include monitoring levels, of beta amyloid tau, phospho tau and chemokines (CCL2, CXCL8 and CXLC10) in the CSF. Markers for Lyme Neuroborreliosis manifesting Alzheimer’s symptoms include monitoring the presence of intrathecal antibodies, and the presence of the cytokine CXCL13 in the CSF. The use of a data input spreadsheet algorithm would thus enable a physician to make a more accurate evaluation in order to distinguish between Alzheimer’s Disease from Lyme Neuroborreliosis manifesting Alzheimer’s like symptoms. The data input spreadsheet algorithm would be especially useful for a physician in areas endemic for Lyme and other Tick Borne Diseases.
Recommended Citation
Ollar, R. A. (2020). The Application of a Spreadsheet Algorithm for use by Physicians for Evaluating Patients Manifesting Alzheimer’s Symptoms in Areas Endemic for Lyme and Other Tick Borne Infections. EC Neurology, 12 (2), 1-4. Retrieved from https://touroscholar.touro.edu/nymc_fac_pubs/2975