开发和验证风险名录模型,用于预测2型糖尿病患者的外围神经病变
Lingguang Luo1, Xinping Long2, Cheng Cheng3
1Department of Endocrinology and Metabolism, The People's Hospital of Laibin, Guangxi, China.
Frontiers in endocrinology
|May 14, 2024
概括
一种新的风险名谱可以预测2型糖尿病患者的糖尿病外围神经病变 (DPN). 该工具有助于识别患DPN高风险的个体,帮助临床管理.
科学领域:
- 内分泌学 在内分泌学.
- 神经学 神经学
- 医疗信息学 医疗信息学
背景情况:
- 糖尿病外围神经病变 (DPN) 是2型糖尿病 (T2DM) 的普遍和严重并发症.
- 准确预测DPN风险对于T2DM患者的及时干预和管理至关重要.
研究的目的:
- 开发和验证一种风险名谱,用于预测2型糖尿病 (T2DM) 患者的糖尿病外围神经病变 (DPN).
- 评估开发的名ogram的内部有效性和预测能力.
主要方法:
- 来自苏第一医院的397名T2DM患者的回顾性分析 (2021年1月 - 2022年6月).
- 患者被随机分配到培训 (70%) 和验证 (30%) 队列.
- 单变量和多变量后勤回归确定了预测因素;使用ROC,HL测试,校准曲线和决策曲线分析 (DCA) 构建和验证的nomogram.
主要成果:
- 确定了四个关键变量 (持续时间,TBIL,TG,DPVD) 用于名图.
- 诺米图表表现出强大的歧视力,AUC为0.771 (培训) 和0.754 (验证).
- 校准曲线证实了预测和实际DPN风险之间的良好一致性;DCA支持临床实用性.
结论:
- 一种用于预测T2DM患者的DPN的创新风险名谱已经成功开发和验证.
- 诺姆图表是医疗保健专业人员识别高风险个体的宝贵工具.
- 这种功能性仪器在临床实践中为DPN预后提供了一个可行的选择.
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