对2型糖尿病视网膜病变的预测模型的开发和外部验证
Yongsheng Li1, Bin Hu1, Lian Lu2
1Department of Preventive Medicine, Medical College, Tarim University, Alar, 843300, China.
Scientific reports
|July 20, 2024
概括
一种新的诺莫格拉姆模型准确地预测了2型糖尿病患者糖尿病视网膜病变 (DR) 风险. 这种工具有助于早期干预,可能减少视力丧失和失明.
科学领域:
- 眼科医生 眼科 眼科
- 内分泌学 在内分泌学.
- 医疗信息学 医疗信息学
背景情况:
- 糖尿病视网膜病变 (DR) 是成人不可逆转失明的主要原因.
- 早期检测和干预对于管理DR和保护视力至关重要.
- 现有的DR风险预测方法需要提高临床效用.
研究的目的:
- 开发和外部验证2型糖尿病患者早期糖尿病视网膜病变 (DR) 风险的预测性名谱.
- 确定DR的关键临床和生化预测因素.
- 评估诺莫图的预测性能和临床适用性.
主要方法:
- 对2381名T2DM患者进行模型开发和962名T2DM患者进行外部验证的回顾性研究.
- 利用最小绝对收缩和选择运算符 (LASSO) 和多变量后勤回归来识别独立预测因子.
- 使用接收器操作特征 (ROC) 曲线,校准曲线和决策曲线分析 (DCA) 评估的诺莫图表性能.
主要成果:
- 使用中性蛋白,25-氧维生素D3 [25(OH) D3],T2DM持续时间,血红蛋白A1c (HbA1c) 和阿波利波蛋白A1 (ApoA1) 建立了一个名谱.
- 该名图实现了高预测准确度,在开发组的曲线下面面积 (AUC) 为0.834,在外部验证组为0.851.
- 诺米图表通过DCA证明了优异的校准和临床有用性.
结论:
- 开发和验证的名图是预测T2DM患者DR风险的可靠工具.
- 早期识别高风险个体可以及时进行临床干预.
- 这种模型具有显著的潜力,可以改善糖尿病患者的长期视觉健康结果.
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