Garrigan Hannah, Ifantides Cristos, Prashanthi Gumpili Sai, Das Anthony Vipin
Sidney Kimmel Medical College and College of Population Health, Thomas Jefferson University, Philadelphia, PA, USA.
Department of Ophthalmology, University of Colorado/Denver Health, Denver, CO, USA.
Ophthalmic Epidemiol. 2021 Oct;28(5):392-399. doi: 10.1080/09286586.2020.1849741. Epub 2020 Nov 19.
: To use electronic medical record data to study the altitude, UV exposure, and biogeographical distribution of senile cataract in India.: This is a hospital-based, cross-sectional study of patients over 40 years old with an ophthalmologist-confirmed diagnosis of senile cataract (cortical, nuclear, posterior subcapsular, or a combination) in either or both eyes. Electronic medical record data entered between August 2010 to December 2019 were extracted from a large multi-tiered ophthalmology network in India. Residential districts were classified into their respective biogeographical zone based on nationally reported boundaries, and altitude at the geographic centroid was determined using Google Earth. Occupations were classified as low UV exposure and high UV exposure. Descriptive statistics, hypothesis testing, and multiple logistic regression analysis were done.: In the 1,127,232 eligible patients, associations were found between high UV exposure (OR = 1.47, 95%CI: 1.45-1.49), low socioeconomic status (OR = 1.54, 95%CI: 1.52-1.55), rural geographies (OR = 1.32), female gender (OR = 1.33, 95%CI: 1.32-1.34), and older age (OR) with cataract. This Indian patient population did not demonstrate increased formation of cataracts at higher altitudes (OR). Patients residing in the Deccan Peninsula (OR) and those with high UV exposures within each increasing altitude category, except >750 m, (OR had higher odds of senile cataract comparatively.: Female gender, occupations with high UV exposure, rural geography and increasing age were observed to have greater odds of developing senile cataract. Increased likelihood of cataracts in populations residing at low altitudes and within the Deccan Peninsula may be attributed to greater hospital development in those areas.
利用电子病历数据研究印度老年性白内障的海拔、紫外线暴露及生物地理分布情况。：这是一项基于医院的横断面研究，研究对象为40岁以上、经眼科医生确诊患有老年性白内障（皮质性、核性、后囊下或混合型）单眼或双眼的患者。从印度一个大型多层眼科网络中提取了2010年8月至2019年12月期间录入的电子病历数据。根据国家公布的边界将居民区划分为各自的生物地理区域，并使用谷歌地球确定地理中心的海拔。职业分为低紫外线暴露和高紫外线暴露两类。进行了描述性统计、假设检验和多重逻辑回归分析。：在1127232名符合条件的患者中，发现高紫外线暴露（OR = 1.47，95%CI：1.45 - 1.49）、社会经济地位低（OR = 1.54，95%CI：1.52 - 1.55）、农村地区（OR = 1.32）、女性（OR = 1.33，95%CI：1.32 - 1.34）以及年龄较大（OR）与白内障有关。该印度患者群体在较高海拔地区并未表现出白内障形成增加（OR）。居住在德干半岛的患者（OR）以及在每个海拔升高类别中紫外线暴露高的患者（除海拔>750米外）（OR）患老年性白内障的几率相对较高。：观察到女性、高紫外线暴露职业、农村地区和年龄增长患老年性白内障的几率更大。低海拔地区和德干半岛居民患白内障可能性增加可能归因于这些地区医院发展较好。
