诺摩图模型用于预测亚洲老年2型糖尿病患者的肉症
Hong Zhang1, Ying Jin1, Shan Che1
1Department of Internal Medicine, Jinan Second Maternal and Child Health Hospital, Laiwu District, Jinan City, Shandong Province, China.
Clinics (Sao Paulo, Brazil)
|September 7, 2025
概括
这项研究开发了一种名谱,用于评估2型糖尿病 (T2DM) 的老年患者的肉症风险. 该工具有助于对这种常见的并发症进行早期识别和个性化干预.
科学领域:
- 老年学是一门学科.
- 内分泌学 在内分泌学.
- 代谢疾病 代谢疾病
背景情况:
- 肉类是2型糖尿病 (T2DM) 的老年患者经常出现的并发症.
- 早期诊断和干预受到萨科佩尼亚复杂病因的限制.
- 这项研究的重点是开发个性化风险评估工具.
研究的目的:
- 开发和内部验证一个用于评估肉类风险的名图.
- 在老年T2DM患者中识别肉类的关键预测因子.
- 支持个性化干预策略.
主要方法:
- 一项横截面研究包括300名老年T2DM患者.
- 根据亚洲肉病工作组 (AWGS) 的标准 (DXA和手握强度) 诊断出肉病.
- 拉索回归和多变量逻辑回归确定了名ogram构造的独立预测因子.
主要成果:
- 麻症的患病率为22%.
- 独立预测因素包括年龄,性别,HbA1c,血清白蛋白,甲状腺功能障碍和身体活动.
- 诺米图显示了高的预测准确性 (AUC 0.891发展,0.868验证) 和临床实用性.
结论:
- 诺米图表有助于在老年T2DM患者中早期识别肉症风险.
- 它支持定制的干预策略.
- 建议在多种不同人群中进一步验证.
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