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在接受血液透析的患者中,开发和验证一个名录模型,用于预测低肌肉质量
Rongrong Tian1, Liyang Chang1, Ying Zhang2
1Department of Blood Purification Centre, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Renal failure
|July 6, 2023
概括
一个新的诺莫格拉姆模型准确地预测了血液透析患者的低肌肉质量,使用年龄,性别,BMI,手握强度和步行速度. 这种工具有助于早期干预和营养状况的管理.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 临床营养学 临床营养学
- 生物统计学 生物统计学
背景情况:
- 肌肉质量是患者营养状况的关键指标.
- 测量肌肉质量通常需要专门的,不方便的设备.
- 在血液透析患者中预测低肌肉质量具有临床意义.
研究的目的:
- 开发和验证一个用于预测低肌肉质量的诺莫格拉姆模型.
- 为血液透析患者的肌肉质量评估提供临床实用的工具.
主要方法:
- 使用346名血液透析患者的训练组 (70%) 开发了一个名图.
- 该模型在单独一组患者 (30%) 上得到验证.
- 使用ROC曲线,校准图和决策曲线分析来评估性能.
主要成果:
- 诺米图包括年龄,性别,BMI,手握强度和步行速度.
- 该模型显示出高预测准确度 (AUC 0.906培训,0.917验证).
- 观察到优异的校准和高临床效用.
结论:
- 开发的诺米图准确地预测了血液透析患者的低骨肌肉质量指数 (LSMI).
- 这种视觉工具支持医务人员进行预测,早期干预和管理.
- 诺米图提供了一种实际的方法来评估这一群体的肌肉质量.
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