Ocular blood flow as it relates to race and disease on glaucoma.
Ocular blood flow as it relates to race and disease on glaucoma.
复制标题
DOI：
10.1016/j.yaoo.2021.04.016
复制
发表时间：
2021-08
影响因子：
--
通讯作者：
Tsai JC
中科院分区：
文献类型：
--
作者：
Siesky B;Harris A;Vercellin ACV;Guidoboni G;Tsai JC
青光眼是一种多因素进行性和退行性视神经病变，是世界上导致不可逆失明的主要原因之一。目前，降低眼压仍然是唯一普遍认可的治疗方法，但大量研究已发现血管对某些个体的疾病过程有显着影响。基于人群的研究已经确定了青光眼患病率、发病率和进展方面的重要种族差异和不同危险因素。在非洲人后裔中发现了更重要的血管成分。在考虑针对青光眼进行个体化临床治疗时，阐明风险调节因素（包括遗传和种族影响）非常重要。人工智能和数学模型（包括人口统计因素、血管健康和临床生物标志物）的应用可能有助于减少疾病差异，推进个性化医疗，并提供青光眼的综合模型。
Glaucoma is a multifactorial progressive and degenerative optic neuropathy representing one of the world’s leading cause of irreversible blindness. Currently, reduction of intraocular pressure remains the only universally approved therapy, yet a wealth of studies has identified significant vascular contributions to the disease process in certain individuals. Population-based studies have identified important racial disparities and differential risk factors in glaucoma prevalence, incidence, and progression. A more significant vascular component has been identified in persons of African descent. Elucidating risk modifiers, including genetic and racial influence, is important when considering individually tailored clinical management of glaucoma. The application of artificial intelligence and mathematical modeling inclusive of demographic considerations, vascular health, and clinical biomarkers may help reduce disease disparities, advance personalized medicine, and provide a comprehensive model of glaucoma.