School of Optometry, Group in Vision Science, University of California Berkeley, Berkeley, California, USA.
Invest Ophthalmol Vis Sci. 2011 Aug 29;52(9):6825-31. doi: 10.1167/iovs.11-7533.
To formulate a model to predict the location of the onset of diabetic retinal edema (DE) in adults with diabetic retinopathy (DR), at risk for DE.
In all, 46 eyes from 23 patients with DR were included. Subjects were followed semiannually until DE developed or the study concluded. The presence or absence of DE within the central 45 ° at the final visit was the outcome measure, and data from the prior visit were used as baseline. A logistic regression model was formulated to assess the relationship between DE development and: multifocal electroretinogram (mfERG) implicit time (IT) Z-score, mfERG amplitude (Amp) Z-score, sex, diabetes duration, diabetes type, blood glucose, HbA1c, age, systolic (SBP) and diastolic blood pressure, and grade of retinopathy. A total of 35 retinal zones were constructed from the mfERG elements and each was graded for DE. Data from 52 control subjects were used to calculate the maximum IT and minimum Amp Z-scores for each zone. Receiver operating characteristic curves from a fivefold cross-validation were used to determine the model's predictive properties.
Edema developed in 5.2% of all retinal zones and in 35% of the eyes. The mfERG Amp, mfERG IT, SBP, and sex were together predictive of edema onset. Combined, these factors produce a model that has 84% sensitivity and 76% specificity.
Together mfERG, SBP, and sex are good predictors of local edema in patients with DR. The model is a useful tool for assessing risk for edema development and a candidate measure to evaluate novel therapeutics directed at DE.
建立一个模型,预测有糖尿病视网膜病变(DR)风险的成年人中糖尿病性视网膜水肿(DE)的发病位置。
共纳入 23 例 DR 患者的 46 只眼。受试者每半年随访一次,直至发生 DE 或研究结束。最终随访时中央 45°内是否存在 DE 为结局指标,以前的随访数据作为基线。制定逻辑回归模型来评估 DE 发展与:多焦视网膜电图(mfERG)的潜伏期(IT)Z 分数、mfERG 幅度(Amp)Z 分数、性别、糖尿病病程、糖尿病类型、血糖、HbA1c、年龄、收缩压(SBP)和舒张压以及视网膜病变程度之间的关系。从 mfERG 元素中构建了总共 35 个视网膜区,并对每个区进行 DE 分级。使用 52 名对照受试者的数据计算每个区的最大 IT 和最小 Amp Z 分数。使用五倍交叉验证的受试者工作特征曲线来确定模型的预测特性。
所有视网膜区中有 5.2%发生水肿,35%的眼发生水肿。mfERG Amp、mfERG IT、SBP 和性别共同预测水肿的发生。这些因素联合起来产生的模型具有 84%的敏感性和 76%的特异性。
mfERG、SBP 和性别共同预测 DR 患者的局部水肿。该模型是评估水肿发生风险的有用工具,也是评估针对 DE 的新型治疗方法的候选指标。