June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
OCULAR MARKERS ASSOCIATED WITH GULF WAR ILLNESS SYMPTOMS
Author Affiliations & Notes
  • Karthik Kalahasty
    VA Miami Healthcare System, Miami, Florida, United States
    University of Miami School of Medicine, Miami, Florida, United States
  • Yonghoon Lee
    VA Miami Healthcare System, Miami, Florida, United States
    University of Miami School of Medicine, Miami, Florida, United States
  • Kimberly Cabrera
    VA Miami Healthcare System, Miami, Florida, United States
  • Maria Abreu
    Nova Southeastern University, Fort Lauderdale, Florida, United States
  • Kristina Aenlle
    Nova Southeastern University, Fort Lauderdale, Florida, United States
  • Nancy Klimas
    Nova Southeastern University, Fort Lauderdale, Florida, United States
  • Anat Galor
    VA Miami Healthcare System, Miami, Florida, United States
    University of Miami Health System Bascom Palmer Eye Institute, Miami, Florida, United States
  • Footnotes
    Commercial Relationships   Karthik Kalahasty None; Yonghoon Lee None; Kimberly Cabrera None; Maria Abreu None; Kristina Aenlle None; Nancy Klimas None; Anat Galor None
  • Footnotes
    Support   Department of Defense Gulf War Illness Research Program (GWIRP) W81XWH-20-1-0579 (Dr. Galor), Department of Veterans Affairs, Veterans Health Administration, Office of Research and Development, Clinical Sciences R&D (CSRD) I01 CX002015 (Dr. Galor) and Biomedical Laboratory R&D (BLRD) Service I01 BX004893 (Dr. Galor), Vision Research Program (VRP) W81XWH-20-1-0820 (Dr. Galor), National Eye Institute R01EY026174 (Dr. Galor) and R61EY032468 (Dr. Galor), NIH Center Core Grant P30EY014801 (institutional) and Research to Prevent Blindness Unrestricted Grant GR004596 (institutional)
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 1575 – A0364. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Karthik Kalahasty, Yonghoon Lee, Kimberly Cabrera, Maria Abreu, Kristina Aenlle, Nancy Klimas, Anat Galor; OCULAR MARKERS ASSOCIATED WITH GULF WAR ILLNESS SYMPTOMS. Invest. Ophthalmol. Vis. Sci. 2022;63(7):1575 – A0364.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose : Gulf War Illness (GWI) is a chronic, multisystem disease diagnosed in Gulf War Era (GWE) veterans associated with manifestations of ocular disease including dry eye symptoms, photophobia and convergence insufficiency. Given the ability to image peripheral and central nerves within the eye and detect ocular surface inflammation, the eye may serve as a biomarker for GWI, assisting with diagnosis and the understanding of disease pathophysiology. In this study, we examine whether individuals presenting with GWI symptoms have differences in ocular imaging and inflammatory cytokine profiles compared to their GWE counterparts.

Methods : This is a prospective case-control study of 94 individuals who served during the GWE. Individuals were split into 2 groups: those with GWI symptoms (cases, identified by Kansas criteria) and those without GWI symptoms (controls). Information on demographics, co-morbidities, and diagnoses of eye diseases were captured. In addition, all individuals underwent optical coherence tomography (OCT) imaging (retinal nerve fiber layer (NFL), ganglion cell layer-inner plexiform layer, and macular maps) and provided a blood sample. Blood was analyzed for inflammatory cytokines using a custom ELISA-based chemiluminescent assay. Statistical analyses were performed using SPSS 28.0. Predictors of GWI symptoms were analyzed using forward stepwise binary logistic regression and receiver operating characteristic (ROC) curves.

Results : The mean patient age was 55±5, 90.3% self-identified as male, 55.9% as white, and 53.8% as Hispanic. After confirming non-collinearity between predictors, the binary logistic analysis model revealed that inferior temporal ganglion cell thickness (odds ratio; OR=0.66, 95% confidence interval; CI=0.49-0.88), superior temporal ganglion cell thickness (OR=1.34, 95% CI=1.03-1.75), temporal NFL thickness (OR=1.08, 95% CI=1.01-1.16), IL1 beta levels (OR=0.86, 95% CI=0.73-1.01), IL2 levels (OR=0.71, 95% CI=0.55-0.91), and IL17 levels (OR=1.03, 95% CI=1.01-1.04) all predicted GWI symptoms. ROC analysis demonstrated an area under the curve of 0.83 (95% CI=0.74-0.93, p<0.001) for this model. As determined by Youden’s index (top left point on the ROC curve), the best cut-of value for the prediction model was associated with a sensitivity of 90% and a specificity of 65%.

Conclusions : These results elucidate differences in OCT and systemic inflammatory markers in individuals with versus without GWI symptoms.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×