Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Center for Ophthalmic Bioinformatics, Cole Eye Institute, Cleveland Clinic, Cleveland, OH, USA.
Eye (Lond). 2024 Nov;38(16):3118-3124. doi: 10.1038/s41433-024-03238-3. Epub 2024 Jul 31.
BACKGROUND/OBJECTIVES: Vision loss is a top disability in the United States (US). Patients commonly present with multiple ocular diseases, but the extent to which this places them at risk for vision loss, and if sex and race impacts this, is poorly understood. This exploratory analysis evaluated which ocular comorbidities and demographics are at highest risk for visual impairment.
SUBJECTS/METHODS: A retrospective cross-sectional study was conducted through the TriNetX Analytics Network, an aggregated network encompassing over 90 million insured and uninsured patients across 50 healthcare organizations from all regions in the US. Patients with diabetic retinopathy (DR), age-related macular degeneration (AMD), retinal vein occlusion (RVO), glaucoma, and uveitis were included in this study. Ocular diseases and visual impairment were determined through ICD-10 codes. Prevalence and odds ratios were calculated while stratifying by sex and racial demographics. Statistical analyses were completed using RStudio and Excel with 95% confidence intervals calculated.
The comorbid conditions with the highest prevalence of visual impairment were uveitis and RVO (39.94%), uveitis and neovascular AMD (37.61%), and uveitis and glaucoma (33.23%). The comorbidity with the highest odds for visual impairment was uveitis and RVO (POR 4.86; 95% CI 4.49, 5.26). Compared to white males, Black and Hispanic males were disproportionately affected by visual impairment across ocular comorbidities.
This study quantified the prevalence and odds of visual impairment for unilateral and comorbid ocular disease, with the addition of uveitis causing the greatest increase. Black and Hispanic males were disproportionately affected by visual impairment across comorbid conditions.
背景/目的:视力丧失是美国(美国)的头号残疾。患者通常表现出多种眼部疾病,但不清楚这使他们面临视力丧失的风险程度,以及性别和种族是否对此有影响。这项探索性分析评估了哪些眼部合并症和人口统计学因素对视力障碍的风险最高。
受试者/方法:通过 TriNetX Analytics Network 进行了回顾性横断面研究,该网络是一个聚合网络,涵盖了来自美国所有地区的 50 个医疗保健组织的超过 9000 万保险和未保险患者。本研究纳入了糖尿病视网膜病变(DR)、年龄相关性黄斑变性(AMD)、视网膜静脉阻塞(RVO)、青光眼和葡萄膜炎患者。眼部疾病和视力障碍通过 ICD-10 代码确定。在按性别和种族人口统计学分层的情况下,计算了患病率和优势比。使用 RStudio 和 Excel 完成了统计分析,计算了 95%置信区间。
视力障碍患病率最高的合并症是葡萄膜炎和 RVO(39.94%)、葡萄膜炎和新生血管性 AMD(37.61%)以及葡萄膜炎和青光眼(33.23%)。视力障碍的最高优势比是葡萄膜炎和 RVO(POR 4.86;95%CI 4.49,5.26)。与白人男性相比,黑人和西班牙裔男性在各种眼部合并症中视力障碍的发生率不成比例地增加。
这项研究量化了单侧和合并眼部疾病的视力障碍的患病率和几率,其中葡萄膜炎导致的增加最大。黑人和西班牙裔男性在各种合并症中视力障碍的发生率不成比例地增加。