开发和验证用于预测2型糖尿病患者糖尿病足风险的诺米克图
Xiuli Feng1, Renhao Zhao2, Teng Yang3
1Department of Endocrinology, Lianyungang Clinical College of Nanjing Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Frontiers in endocrinology
|July 15, 2025
概括
这项研究确定了2型糖尿病 (T2DM) 患者糖尿病足 (DFU) 的关键风险因素,并开发了一种名谱,用于初级保健中早期预测DFU风险. 该模型显示高准确性识别风险人群.
科学领域:
- 内分泌学和新陈代谢学
- 心血管医学 心血管医学
- 腎臟病學 (nephrology) 是一種醫學專業.
背景情况:
- 糖尿病足 (DFU) 是2型糖尿病 (T2DM) 的重要并发症.
- 准确的风险预测对于及时干预和预防DFU在初级保健机构至关重要.
研究的目的:
- 确定与T2DM患者的DFU发展相关的独立风险因素.
- 在初级保健环境中开发和验证DFU发生的nomogram预测模型.
主要方法:
- 一项对547名T2DM患者的回顾性研究,分为建模和验证队列.
- 使用Lasso回归和多变量逻辑回归来确定独立的风险因素.
- 使用AUC,校准曲线和决策曲线分析构建和验证了一个名图.
主要成果:
- 确定了七个独立的DFU风险因素:年龄,白细胞计数,脚-手腕指数,尿中白蛋白与肌素的比率,糖尿病家族史,糖尿病外围神经病变和白蛋白水平.
- 诺米图表表现出了出色的预测性能,AUC为0.917 (建模) 和0.956 (验证).
- 该模型显示出良好的可靠性和临床实用性,用于识别高风险T2DM患者.
结论:
- 开发的名图是预测T2DM患者的DFU风险的可靠和有效工具.
- 该模型可以帮助初级保健医生识别高风险个体并实施早期预防策略.
- 早期识别和干预可以显著减少糖尿病足的发生率和影响.
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