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

作　　者：陆丽娇 徐楠[1] 刘鑫鑫 杜芳芳 郑枞 彭鸿钧 曹明哲 艾诗蓓 LU Lijiao;XU Nan;LIU Xinxin;DU Fangfang;ZHENG Cong;PENG Hongjun;CAO Mingzhe;AI Shibei(Department of Ophthalmology,The Seventh Affiliated Hospital of Sun Yat-sen University,Shenzhen 518000,China)

机构地区：[1]中山大学附属第七医院眼科,广东深圳518000

出　　处：《中山大学学报（医学科学版）》2024年第2期253-260,共8页Journal of Sun Yat-Sen University:Medical Sciences

摘　　要：【目的】探讨基于光学相干断层扫描血管成像技术(OCTA),筛查糖尿病肾脏病(DKD)高风险人群的临床预测模型。【方法】本研究以567例糖尿病患者为研究对象,在逐步logistic回归分析的基础上,运用随机森林算法筛选纳入建模的指标,构建基于OCTA糖尿病肾脏病临床预测模型。通过受试者工作特征曲线评价模型区分度,通过决策曲线分析评估模型临床有效性。【结果】构建基于OCTA的DKD临床预测模型,ROC曲线下面积为0.878,Brier=0.11。【结论】本研究构建了基于OCTA结果进行糖尿病肾脏病临床预测的列线图预测模型,并从多维度验证模型,从而达到早期预警、提前实施干预的目的。【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 

分 类 号：R77[医药卫生—眼科]