识别,量化和计算2型糖尿病亚型的分类不确定性
Tim Mori1,2, Oana P Zaharia3,4,5, Klaus Straßburger6,3
1Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany. tim.mori@ddz.de.
Diabetologia
|July 27, 2025
概括
这项研究引入了一种新的方法来量化2型糖尿病亚型的分类不确定性. 考虑到这种不确定性,可以更好地预测2型糖尿病患者心血管疾病风险.
科学领域:
- 内分泌学 在内分泌学.
- 精准医学是一门精准的医学.
- 糖尿病亚型的分类
背景情况:
- 对2型糖尿病亚型的精确诊断有兴趣,但分类不确定性仍然是一个挑战.
- 现有的方法缺乏一种可靠的方式来量化和解决糖尿病亚型中的个人分类不确定性.
研究的目的:
- 引入和验证一种用于量化2型糖尿病亚型的分类不确定性的新方法.
- 评估对分类不确定性的计算如何影响不同亚型的心血管疾病 (CVD) 风险预测.
主要方法:
- 利用规范化的相对 (NRE) 来量化分类不确定性,从距离到集群中心的距离得出.
- 分析了来自德国糖尿病研究 (GDS) 的859名最近出现的2型糖尿病患者的队列.
- 评估了分类不确定性对亚型10年心血管疾病风险预测能力的影响 (SCORE2-糖尿病).
主要成果:
- 分类不确定性 (NRE) 在各个亚型之间有所不同,与轻微的与年龄相关和与肥胖相关的亚型相比,在严重的胰岛素抵抗和胰岛素缺乏糖尿病中较低.
- 考虑到分类不确定性,预测10年心血管疾病风险的变化比例显著增加,由亚型解释 (从17.4%增加到31.5%).
- 当考虑分类确定性时,轻度年龄相关糖尿病亚型的预测10年心血管疾病风险增加.
结论:
- 正常化的相对 (NRE) 有效量化和比较2型糖尿病亚型的分类不确定性.
- 分类不确定性是一个重要的因素,在个体和亚型之间有所不同.
- 将分类确定性纳入分析可以提高2型糖尿病亚型对长期心血管疾病风险的预测准确度.
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