中山大学学报（医学科学版）2024，Vol.45Issue(2)：253-260,8.
基于OCTA构建糖尿病肾脏病临床预测模型
Clinical Prediction Model for Diabetic Kidney Disease Based on Optical Coherence Tomography Angiography
陆丽娇 1徐楠 1刘鑫鑫 1杜芳芳 1郑枞 1彭鸿钧 1曹明哲 1艾诗蓓1
作者信息
- 1. 中山大学附属第七医院眼科,广东 深圳 518000
- 折叠
摘要
Abstract
[Objective]To construct and validate a clinical prediction model for diabetic kidney disease(DKD)based on optical coherence tomography angiography(OCTA).[Methods]This study enrolled 567 diabetes patients.The random forest algorithm as well as logistic regression analysis were applied to construct the prediction model.The model discrimina-tion and clinical usefulness were evaluated by receiver operating characteristic curve(ROC)and decision curve analysis(DCA),respectively.[Results]The clinical prediction model for DKD based on OCTA was constructed with area under the curve(AUC)of 0.878 and Brier score of 0.11.[Conclusions]Through multidimensional verification,the clinical pre-diction nomogram model based on OCTA allowed for early warning and advanced intervention of DKD.关键词
光学相干断层扫描血管成像技术/糖尿病肾脏病/临床预测模型/受试者工作特征曲线/决策曲线分析Key words
optical coherence tomography angiography(OCTA)/diabetic kidney disease(DKD)/clinical predic-tion model/receiver operating characteristic curve(ROC)/decision curve analysis(DCA)分类
医药卫生引用本文复制引用
陆丽娇,徐楠,刘鑫鑫,杜芳芳,郑枞,彭鸿钧,曹明哲,艾诗蓓..基于OCTA构建糖尿病肾脏病临床预测模型[J].中山大学学报（医学科学版）,2024,45(2):253-260,8.
