Risk Factors for Conversion to Neovascular Age-related Macular Degeneration Based on Longitudinal Morphologic and Visual Acuity Data
Risk Factors for Conversion to Neovascular Age-related Macular Degeneration Based on Longitudinal Morphologic and Visual Acuity Data
复制标题
基于纵向形态学和视力数据的转化为新生血管性老年黄斑变性的风险因素
DOI：
10.1016/j.ophtha.2012.02.048
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发表时间：
2012-07-01
期刊：
影响因子：
13.7
通讯作者：
Brennen, Peter M.
中科院分区：
文献类型：
--
作者：
Friberg, Thomas R.;Bilonick, Richard A.;Brennen, Peter M.
目的：使用纵向定量形态和视力(VA)数据来研究干性年龄相关性黄斑变性(AMD)眼脉络膜新生血管(CNV)事件发生的风险。设计：前瞻性观察研究。参与者：共有513名参与者(844只眼)在参加年龄相关眼病研究(AREDS)或AMD预防性治疗研究(PTAMD)的一个中心纵向跟踪观察。方法：我们评估先前获得的眼底照片的图像是否存在黄斑色素沉着、玻璃体面积和玻璃体分布(数量和大小)，以及基线时的同眼CNV状态。记录每个受试者的早期治疗糖尿病视网膜病变研究(ETDRS)、每次就诊时的最佳矫正视力(BCVA)和年龄。我们使用纵向Logistic混合效应模型，将随机截距与事件发生情况相匹配，以评估每只眼睛的风险。主要观察指标：CNV事件的优势比。结果：31名受试者(6.0%)有事件发生。仅VA随时间和随访间隔的变化有统计学意义。使用了几个统计模型，其中包括上次访问时的VA。在两个模型中，使用了三类VA：75个字母和85个字母。采用两种方法进行随访：3年和1年。在分类为3年的第一个模型中，视力从85字母类别下降到85字母类别，
Purpose: To use longitudinal quantitative morphologic and visual acuity (VA) data to investigate the risk of choroidal neovascularization (CNV) event occurrence in eyes with dry age-related macular degeneration (AMD).Design: Prospective observational study.Participants: A total of 513 participants (844 eyes) followed longitudinally in one center enrolled in the Age-Related Eye Disease Study (AREDS) or the Prophylactic Treatment of AMD Study (PTAMD).Methods: We assessed images of previously obtained fundus photographs for the presence of macular pigmentation, drusen area, and drusen distribution (number and size), and fellow eye CNV status at baseline. Early Treatment Diabetic Retinopathy Study (ETDRS) best-corrected visual acuity (BCVA) at each visit and the age of each subject were obtained. We used a longitudinal logistic mixed-effects model with random intercepts fitted to event occurrences to assess risk on a per eye basis.Main Outcome Measures: Odds ratios for CNV event.Results: Thirty-one subjects (6.0%) had events. Only VA changes over time and follow-up interval showed statistically significant effects. Several statistical models that included VA at the previous visit were used. In 2 models, 3 categories of VA were used: 75 and 85 letters. Two categories were used for follow-up: 3 years or 1 year. In the first model with categorization at 3 years, a decrease in acuity from the >85 letter category to 85-letter category to