DIABETIC MACULAR EDEMA--CLASSIFICATION & NATURAL COURSE

糖尿病性黄斑水肿--分类

• 批准号: 3426670
• 负责人: MATTHEW D DAVIS
• 金额: $ 5.95万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-09-30 至 1995-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3426670
• 关键词: angiography; diabetes mellitus; disease /disorder classification; edema; human data; medical complication; pathologic process; photography; retina disorder

DESCRIPTION (Investigator's Abstract) "Considerable information is available concerning the natural course of diabetic retinopathy as it progresses from the early nonproliferative to the advanced proliferative stage, and a useful overall scale of retinopathy severity has been developed. Macular edema, a common feature of diabetic retinopathy and a common cause of visual loss, is not a part of the retinopathy severity scale, and its clinical features and natural course have not been well documented. Existing data from the NEI-sponsored Early Treatment Diabetic Retinopathy Study (ETDRS) and Diabetic Retinopathy Study (DRS), in which large numbers of patients with varying degrees of macular edema and varying retinopathy severity were followed for several years (initially with one eye randomly assigned to deferral of photo- coagulation), provide a unique opportunity to document the natural course of diabetic macular edema and to develop a classification. Specifically, goals of this project are: (1) to develop a classification of macular edema based upon fundus photographic and fluorescein angiographic characteristics; (2) to develop a scale that characterizes its overall severity; (3) to document its natural course; and (4) to determine risk factors (demographic, systemic, and ocular) for change in visual acuity and morphologic characteristics. In addition to careful examination of relationships using cross-tabulations and Spearman correlation coefficients, multivariate analyses (including logistic regression) will be used to establish the predictive value of selected baseline variables for the outcomes of interest. Since observations are correlated over time, the mixed effects model described by Laird and Ware, implemented with the efficient computational methods of Lindstrom and Bates, will be utilized. Results of these analyses will be translated into a clinically oriented classification and severity scale useful both to researchers evaluating treatments and to ophthalmologists managing patients."

描述（研究者摘要）“大量信息 关于糖尿病视网膜病变的自然病程， 从早期非增殖性进展到晚期增殖性 阶段，和视网膜病变严重程度的有用的整体规模已经 开发黄斑水肿是糖尿病视网膜病变的常见特征， 视力丧失的常见原因，不是视网膜病变严重程度的一部分 规模，其临床特点和自然病程一直没有得到很好的 记录在案。 来自NEI申办的早期治疗的现有数据 糖尿病视网膜病变研究（ETDRS）和糖尿病视网膜病变研究（DRS）， 大量患有不同程度黄斑水肿的患者 和不同程度的视网膜病变进行了数年的随访 （最初，一只眼睛随机分配到推迟拍照， 凝血），提供了一个独特的机会，以记录自然的 糖尿病性黄斑水肿的病程及分型。 具体而言，本项目的目标是：（1）制定一个分类 基于眼底照相和荧光素 血管造影特征;（2）制定一个量表， 其整体严重程度;（3）记录其自然过程;（4） 确定变化的风险因素（人口统计学、全身和眼部） 视力和形态特征。 除了 使用交叉表格仔细检查关系， 斯皮尔曼相关系数、多变量分析（包括 逻辑回归）将用于建立的预测值 为感兴趣的结果选择基线变量。 以来 观察值随时间相关，混合效应模型描述了 由Laird和Ware提出，用有效的计算方法实现 将被利用 这些分析结果 将转化为临床导向的分类， 严重程度量表对研究人员评估治疗和 眼科医生管理病人。"