University of Miami Miller School of Medicine, Miami, FL, USA.
Ophthalmology, Miami Veterans Affairs Medical Center, 1201 NW 16th St, Miami, FL, 33125, USA.
Sci Rep. 2023 Mar 2;13(1):3512. doi: 10.1038/s41598-023-30544-9.
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)-1β 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.
为了检验眼相干断层扫描(OCT)指标与全身炎症标志物结合用于识别海湾战争病(GWI)症状个体的效用。这是一项前瞻性病例对照研究,纳入了 108 名海湾战争时代的退伍军人,根据堪萨斯标准定义的 GWI 症状将他们分为 2 组。记录了人口统计学、部署历史和合并症的信息。101 名个体接受了 OCT 成像,105 名个体提供了血液样本,使用酶联免疫吸附测定法化学发光法分析了炎症细胞因子。主要观察指标是使用多变量向前逐步逻辑回归分析,然后是接受者操作特征(ROC)分析来检验 GWI 症状的预测因子。该人群的平均年龄为 55±4 岁,90.7%为男性,53.3%为白人,54.3%为西班牙裔。一个考虑人口统计学和合并症的多变量模型发现,下颞神经节细胞层-内丛状层(GCL-IPL)厚度较低、颞神经纤维层(NFL)厚度较高、白细胞介素(IL)-1β水平较低、IL-1α水平较高、肿瘤坏死因子受体 I 水平较低与 GWI 症状相关。ROC 分析显示曲线下面积为 0.78,预测模型的最佳截断值具有 83%的敏感性和 58%的特异性。NFL 和 GCL-IPL 测量值,即颞侧厚度增加和下颞侧厚度减少,与一些炎症细胞因子一起,对我们人群中 GWI 症状的诊断具有合理的敏感性。