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开发和验证模型,以预测年轻发病的2型糖尿病患者的低最佳早期血糖控制
Anjali Gopalan1, Christine A Board, Stacey E Alexeeff
1Kaiser Permanente Northern California, Division of Research, Pleasanton, CA.
Medical care
|May 21, 2025
概括
45岁以下的新诊断的2型糖尿病患者可以使用简单的HbA1c-only模型进行风险分层,以确定那些需要早期干预以改善血糖控制的人.
科学领域:
- 内分泌学 在内分泌学.
- 代谢疾病 代谢疾病
- 公共卫生 公共卫生
背景情况:
- 在2型糖尿病诊断时的年龄较小与长期并发症风险增加有关.
- 早期识别患有低于最佳血糖控制风险的个体对于及时干预至关重要.
研究的目的:
- 开发和验证预测模型,以识别2型糖尿病患者在诊断后一年内不达到血糖目标的风险.
- 与更复杂的预测模型相比,评估简化HbA1c仅模型的性能.
主要方法:
- 最小绝对收缩和选择操作员 (LASSO) 回归模型是使用新诊断为2型糖尿病的10,879名 (21-44岁) 个体的培训数据集来开发的.
- 模型包括一个完整的模型 (48个预测因素),可转移模型和仅HbA1c的模型.
- 模型性能使用验证数据集进行评估,重点是预测HbA1c ≥8%在一年内.
主要成果:
- 所有开发的模型,包括仅用于HbA1c的模型,都显示出可比的预测性能.
- 这些模型在验证数据集中表现出良好的区别,C统计数据范围从0.71到0.73.
结论:
- 仅使用诊断HbA1c值进行简单的风险分层,在预测未达到血糖目标的风险方面,与复杂模型一样有效.
- 这种实用,无计算的方法可以很容易地识别新诊断的年轻人,他们需要额外的支持来早期控制血糖.
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