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开发和评估一个名ogram模型,用于预测结直肠癌患者的营养不良

Ran Xu¹, Li-Fang Gong²

¹College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.

Frontiers in medicine

|November 14, 2025

概括

这项研究开发了一种名谱,用于预测结直肠癌 (CRC) 患者的营养不良. 该模型准确地识别了有风险的患者,使得及时干预能够改善结果.

科学领域:

在瘤学瘤学.
营养科学营养科学
医学统计医学统计

背景情况:

营养不良是结直肠癌 (CRC) 患者经常出现的并发症.
它会对治疗效率和患者的生活质量产生负面影响.
早期识别营养不良风险对于及时干预至关重要.

研究的目的:

开发和验证用于预测CRC患者营养不良风险的诺莫格拉姆模型.
确定这一群体中营养不良的关键预测因素.

主要方法:

追溯性研究分析营养参数 (BMI,白蛋白,血红蛋白,PNI).
后勤回归分析以确定独立预测因素.
使用ROC分析,校准曲线和DCA进行Nomogram构造和性能评估.

主要成果:

开发了一个纳米图,包括年龄,TNM阶段,KPS,血红蛋白,前白蛋白和床上休息.
命名图显示出良好的分辨率 (AUC=0.819) 和出色的校准.
确定的预测因素包括老年,晚期TNM阶段,较低的KPS,低血红蛋白/前白蛋白,以及长时间的床上休息.

结论:

开发的诺米克图是预测CRC患者营养不良的可靠工具.
它有助于临床医生早期发现和管理营养不良.
通过及时的营养支持,有助于改善患者的治疗结果.

关键词:

符合GLIM标准的标准结肠直肠癌是什么意思逻辑回归的逻辑回归营养不良营养不良营养不良这个名字是名ogramogram.预测模型是一个预测模型.

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