在糖尿病视网膜病变患者中开发和验证糖尿病病风险预测模型
Mengsha Yin1, Wenke Dong2, Linan Ren1
1Department of Endocrinology and Metabolism, The First Affiliated Hospital of Jilin University, Changchun, China.
Frontiers in endocrinology
|May 20, 2025
概括
本研究确定了2型糖尿病 (T2DM) 糖尿病视网膜病变 (DR) 患者糖尿病病 (DKD) 的关键风险因素. 一个预测模型有助于识别高风险的个人DKD.
科学领域:
- 内分泌学 在内分泌学.
- 腎臟病學 (nephrology) 是一種醫學.
- 眼科医生 眼科 眼科
背景情况:
- 糖尿病视网膜病变 (DR) 和糖尿病病 (DKD) 是2型糖尿病 (T2DM) 的常见并发症.
- 目前尚不完全了解DR和DKD的同时发生,因此需要对组合风险因素进行研究.
研究的目的:
- 在已经被诊断为DR的T2DM患者中识别DKD的风险因素.
- 开发一个名目录预测模型,用于识别患有DR的T2DM患者,这些患者有发展DKD的高风险.
主要方法:
- 对683名DRT2DM患者的回顾性审查.
- 多变量后勤回归用于识别独立的风险因素.
- 使用ROC曲线分析和DCA.构建和验证一个名ogram预测模型.
主要成果:
- 确定了八个独立的风险因素:纤维素 (FIB),白蛋白 (ALB),血动脉质指数 (AIP),低密度脂蛋白胆固醇 (LDL-C),体重指数 (BMI),DR分类,性别和高血压史.
- 命名图显示出良好的区分能力 (训练中的AUC为0.780,验证中的AUC为0.739).
- AP5B1基因SNP (rs6591190,rs12146493) 与DR患者的DKD易感性的潜在关联.
结论:
- 开发的诺米克图是早期识别T2DM患者的宝贵工具,DR患有DKD的高风险.
- 需要对DR患者的DKD遗传倾向进行进一步的研究.
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