Downs Carolyn S, Percelay Paul J, Williams Brandon, Goedecke Patricia J, Wesberry Jess M, Mandal Nawajes
Department of Ophthalmology, Hamilton Eye Institute.
Department of Ophthalmology, University of Missouri, Columbia, MO.
J Glaucoma. 2025 Mar 1;34(3):157-163. doi: 10.1097/IJG.0000000000002513. Epub 2024 Oct 24.
Socioeconomic status is a potentially significant, although difficult to isolate, factor in determining glaucoma severity.
To analyze the level of glaucoma severity (mild, moderate, or severe) based on demographic factors, including age, gender, ethnicity, insurance profile, and zip code, and to use this data to extrapolate the effect of socioeconomic status (SES) and race on glaucoma severity at the community level in Memphis, TN.
Totally, 2913 patients from a tertiary care center with 3 clinic locations in Memphis, TN who had been given the diagnosis of primary open angle glaucoma (POAG) through use of the ICD-10 codes for mild (H40.1111, H40.1121, H40.1131), moderate (H40.1112, H40.1122, H40.1132), and severe (H40.1113, H40.1123, H40.1133) POAG between January 2016 and July 2021 were included in this study. Diagnoses were made after a complete glaucoma workup consisting of Snellen visual acuity, applanation IOP measurement, gonioscopy, automated Humphreys visual fields (10-2 and 24-2), and optic nerve OCT. Demographic information, including age, gender, ethnicity, insurance profile, and zip code, was also collected with disease severity for each patient. SES was approximated using zip code-level census poverty data and insurance profiles. Statistical analyses were performed, including descriptive, multivariable ordinal logistic modeling, and stepwise multivariable linear modeling.
Glaucoma severity was shown to increase with poverty rate (OR=1.089, P <0.0071), age (OR=1.030, P <0.0001), male sex (OR=1.374, P <0.0001), and Black race (OR=1.896, P <0.0001). Severity was shown to be decreased in patients with private insurance compared with Medicare (OR=0.895, P <0.093) and those from Shelby County compared with other counties (OR=0.703, P <0.0001).
Our findings indicate that worsening glaucoma severity was associated with higher poverty rates in our patient population. However, isolating socioeconomic status (SES) as an independent factor influencing the incidence and severity of glaucoma remains challenging, given the strong correlation between race and SES.
社会经济地位是决定青光眼严重程度的一个潜在重要因素,尽管难以单独分离出来。
根据人口统计学因素,包括年龄、性别、种族、保险情况和邮政编码,分析青光眼的严重程度(轻度、中度或重度),并利用这些数据推断社会经济地位(SES)和种族对田纳西州孟菲斯市社区层面青光眼严重程度的影响。
本研究纳入了田纳西州孟菲斯市一家有3个诊所地点的三级医疗中心的2913例患者,这些患者在2016年1月至2021年7月期间通过使用国际疾病分类第十版(ICD - 10)编码被诊断为轻度(H40.1111、H40.1121、H40.1131)、中度(H40.1112、H40.1122、H40.1132)和重度(H40.1113、H40.1123、H40.1133)原发性开角型青光眼(POAG)。诊断是在完成青光眼全面检查后做出的,包括斯内伦视力、压平眼压测量、房角镜检查、自动汉弗莱视野检查(10 - 2和24 - 2)以及视神经光学相干断层扫描(OCT)。还收集了每位患者的人口统计学信息,包括年龄、性别、种族、保险情况和邮政编码以及疾病严重程度。SES使用邮政编码级别的人口普查贫困数据和保险情况进行估算。进行了统计分析,包括描述性分析、多变量有序逻辑建模和逐步多变量线性建模。
青光眼严重程度显示随着贫困率(比值比[OR]=1.089,P<0.0071)、年龄(OR = 1.030,P<0.0001)、男性(OR = 1.374,P<0.0001)和黑人种族(OR = 1.896,P<0.0001)的增加而升高。与医疗保险患者相比,私人保险患者的严重程度降低(OR = 0.895,P<0.093);与其他县的患者相比,来自谢尔比县的患者严重程度降低(OR = 0.703,P<0.0001)。
我们的研究结果表明,在我们的患者群体中,青光眼严重程度的恶化与较高的贫困率相关。然而,鉴于种族与SES之间的强相关性,将社会经济地位(SES)作为影响青光眼发病率和严重程度的独立因素分离出来仍然具有挑战性。