Accession Number:

AD1120913

Title:

Phenotypes of Comorbidity in Epilepsy: Variation by TBI Severity and Deployment Status

Descriptive Note:

[Technical Report, Annual Report]

Corporate Author:

Western Institute for Biomedical Research

Personal Author(s):

Report Date:

2020-10-01

Pagination or Media Count:

11

Abstract:

The proposed study will leverage data from an existing Department of Defense DoD funded Post-traumatic epilepsy studyW81XWH-16-2-0046 that is examining the relationship between mild traumatic brain injury mTBI and epilepsy in deployed Post-911 Veterans. We will add to that study by identifying patterns of comorbidity in Post-911 deployed Veterans with epilepsy using latent class analysis, and by adding a cohort of non-deployed Post-911 Veterans who are also in VA care for the same analysis. As a result, with a small investment we will be able to identify specific phenotypes of comorbidity in Veterans with epilepsy and be able to determine if those patterns are different for individuals who 1 were deployed, where the likelihood of blast exposure is higher, and 2 have TBI exposure compared to those who do not. Finally, we will examine the extent to which these comorbidity phenotypes help explain premature death, and the specific cause of death in these individuals with epilepsy. These findings will have enormous implications for health care delivery for Veterans and Active Duty Service Members with epilepsy. For instance, the data may suggest that chronic disease is an important cause of death. This finding would suggest the importance of care coordination between primary care providers and neurologistsepileptologists providing subspecialty care for patients with epilepsy. In addition, data from this study can be used as a foundation to identify genetic markers that are associated with distinct epilepsy comorbidity phenotypes. We have compiled VA and DoD data for the deployed and non-deployed cohort. We have developed an epilepsy identification algorithm and we will perform chart abstraction to evaluate the algorithm.

Subject Categories:

  • Medicine and Medical Research

Distribution Statement:

[A, Approved For Public Release]