纳入血清铁蛋白的列线图预测糖尿病视网膜病变发生OACSTPCD
Nomogram including serum ferritin to predict the occurrence of diabetic retinopathy
目的:建立纳入血清铁蛋白的列线图模型预测糖尿病视网膜病变的发生,并评估该模型. 方法:通过单因素和多因素回归分析,筛选出包括铁蛋白在内的21个变量,确定了糖尿病视网膜病变的危险因素.建立列线图预测模型进行评估和校准. 结果:列线图模型纳入了铁蛋白、糖尿病病程、血红蛋白、尿微量白蛋白、用药规律性以及体重指数等6个变量.纳入血清铁蛋白的预测模型一致性指数为0.813(95％CI:0.748-0.879).内外部验证的校准曲线表现良好,决策曲线提示阈值概率范围在10％-90％之间,该模型具有较高的净收益值. 结论:血清铁蛋白是糖尿病视网膜病变发生的重要危险因素.一种新的列线图模型,包括体重指数、糖尿病病程、铁蛋白、血红蛋白、尿微量白蛋白、用药规律性,具有较高的预测准确性,可为临床医生提供早期预判.
AIM:To establish a nomogram model to predict the effect of serum ferritin on diabetic retinopathy and evaluate the model. METHODS:A total of 21 variables,including ferritin,were screened by univariate and multivariate regression analysis to determine the risk factors of diabetic retinopathy.A nomogram prediction model was established for evaluation and calibration. RESULTS:Ferritin,duration of diabetes,hemoglobin,urine microalbumin,regularity of medication and body mass index were included in the nomogram model.The consistency index of the prediction model with serum ferritin was 0.813(95％Cl:0.748-0.879).The calibration curves of internal and external verification showed good performance,and the probability of the threshold suggested by the decision curve was in the range 10％to 90％.The model had a high net profit value. CONCLUSIONS:Serum ferritin is an important risk factor for diabetic retinopathy.A new nomogram model,which includes body mass index,duration of diabetes,ferritin,hemoglobin,urine microalbumin and regularity of medication,has a high predictive accuracy and could provide early prediction for clinicians.
吴晓玉;谢丹丹;陈佳娜;倪连红;李维娜
(362000)中国福建省泉州市,联勤保障部队第910医院眼科
血清铁蛋白糖尿病视网膜病变列线图预测
serum ferritindiabetic retinopathynomogramprediction
《国际眼科杂志》 2024 (005)
671-676 / 6
泉州市医疗卫生领域指导性科技计划项目(No.2021N169S) Foundation item:Quanzhou Medical and Health Field Guiding Science and Technology Project(No.2021N169S)
评论