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首页> 外文期刊>Investigative ophthalmology & visual science >Prediction, by Retinal Location, of the Onset of Diabetic Edema in Patients with Nonproliferative Diabetic Retinopathy
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Prediction, by Retinal Location, of the Onset of Diabetic Edema in Patients with Nonproliferative Diabetic Retinopathy

机译:通过视网膜位置预测非增生性糖尿病性视网膜病患者糖尿病性水肿的发生

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Purpose.: 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. Methods.: 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. Results.: 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. Conclusions.: 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.
机译:目的:建立模型以预测患有糖尿病性视网膜病(DR)的成年人中发生糖尿病视网膜水肿(DE)的危险。方法:总共纳入了23例DR患者的46眼。每半年随访一次受试者,直至发展为DE或研究结束。最后一次访视时中心45°内是否有DE是结果的量度,并且将先前访视的数据用作基线。建立了逻辑回归模型以评估DE发育与以下各项之间的关系:多焦点视网膜电图(mfERG)隐式时间(IT)Z评分,mfERG振幅(Amp)Z评分,性别,糖尿病持续时间,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等级。从mfERG元件构建了总共35个视网膜区域,每个区域都被定为DE级。来自52个对照组的数据用于计算每个区域的最大IT和最小Amp Z得分。来自五重交叉验证的接收器工作特性曲线用于确定模型的预测属性。结果:在所有视网膜区域的5.2%和35%的眼睛中出现水肿。 mfERG Amp,mfERG IT,SBP和性别共同预测水肿发作。这些因素共同产生的模型具有84%的敏感性和76%的特异性。结论:mfERG,SBP和性别一起可以很好地预测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的新型疗法的候选方法。

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