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Ocular and inflammatory markers associated with Gulf War illness symptoms.
Kalahasty, Karthik; Lee, Yonghoon; Locatelli, Elyana; Djulbegovic, Mak; Cabrera, Kimberly; Pakravan, Parastou; Goodman, Courtney; Jensen, Andrew; Aenlle, Kristina; Klimas, Nancy; Goldhardt, Raquel; Galor, Anat.
Afiliação
  • Kalahasty K; University of Miami Miller School of Medicine, Miami, FL, USA.
  • Lee Y; University of Miami Miller School of Medicine, Miami, FL, USA.
  • Locatelli E; University of Miami Miller School of Medicine, Miami, FL, USA.
  • Djulbegovic M; Ophthalmology, Miami Veterans Affairs Medical Center, 1201 NW 16th St, Miami, FL, 33125, USA.
  • Cabrera K; University of Miami Miller School of Medicine, Miami, FL, USA.
  • Pakravan P; Ophthalmology, Miami Veterans Affairs Medical Center, 1201 NW 16th St, Miami, FL, 33125, USA.
  • Goodman C; University of Miami Miller School of Medicine, Miami, FL, USA.
  • Jensen A; University of Miami Miller School of Medicine, Miami, FL, USA.
  • Aenlle K; Ophthalmology, Miami Veterans Affairs Medical Center, 1201 NW 16th St, Miami, FL, 33125, USA.
  • Klimas N; Nova Southeastern University, Ft Lauderdale, FL, USA.
  • Goldhardt R; Research Services, Miami Veterans Affairs Medical Center, Miami, FL, USA.
  • Galor A; Nova Southeastern University, Ft Lauderdale, FL, USA.
Sci Rep ; 13(1): 3512, 2023 03 02.
Article em En | MEDLINE | ID: mdl-36864130
ABSTRACT
To examine the utility of ocular coherence tomography (OCT) metrics, in conjunction with systemic markers of inflammation, in identifying individuals with Gulf War Illness (GWI) symptoms. Prospective case-control study of 108 Gulf War Era veterans, split into 2 groups based on the presence of GWI symptoms, defined by the Kansas criteria. Information on demographics, deployment history, and co-morbidities were captured. 101 individuals underwent OCT imaging and 105 individuals provided a blood sample which was analyzed for inflammatory cytokines using an enzyme-linked immunosorbent assay-based chemiluminescent assay. The main outcome measure was predictors of GWI symptoms, examined with multivariable forward stepwise logistic regression analysis followed by receiver operating characteristic (ROC) analysis. The mean age of the population was 55 ± 4, 90.7% self-identified as male, 53.3% as White, and 54.3% as Hispanic. A multivariable model that considered demographics and co-morbidities found that a lower inferior temporal ganglion cell layer-inner plexiform layer (GCL‒IPL) thickness, higher temporal nerve fiber layer (NFL) thickness, lower interleukin (IL)-1ß levels, higher IL-1α levels, and lower tumor necrosis factor-receptor I levels correlated with GWI symptoms. ROC analysis demonstrated an area under the curve of 0.78 with the best cut-off value for the prediction model having a sensitivity of 83% and specificity of 58%. RNFL and GCL‒IPL measures, namely increased temporal thickness and decreased inferior temporal thickness, respectively, in conjunction with a number of inflammatory cytokines, had a reasonable sensitivity for the diagnosis of GWI symptoms in our population.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome do Golfo Pérsico / Guerra do Golfo Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome do Golfo Pérsico / Guerra do Golfo Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article