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在患有宫癌的患者中,开发和验证一个用于预测与癌症相关的严重疲劳的诺姆图

ZhiHui Gu¹, ChenXin Yang¹, Ke Zhang¹

¹Department of Social Medicine, School of Health Management, China Medical University, No.77 PuHe Road, Shenyang North New District, 110122, Shenyang, Liaoning, People's Republic of China.

|April 18, 2024

概括

这项研究开发了一种名谱,用于预测宫癌患者的严重癌症相关疲劳 (CRF). 该工具在预测CRF风险方面表现出高准确性和临床实用性.

科学领域:

在瘤学瘤学.
医学统计医学统计
心理社会瘤学

背景情况:

与癌症相关的疲劳 (CRF) 显著影响癌症患者的手术后恢复.
宫癌 (CC) 患者在CRF方面遇到重大挑战.
需要准确的预测工具来有效管理CRF.

研究的目的:

在宫癌 (CC) 患者中开发和验证与癌症相关的严重疲劳 (CRF) 的预测性名录.
确定与该人群中严重CRF相关的关键风险因素.
为CRF提供临床评估和管理的实用工具.

主要方法:

一项横截面研究,涉及196名患者进行开发和88名患者进行验证.
使用了包括CFS,MUIS,MCMQ,MSPSS和SOC-13在内的问卷.
采用二进制物流回归和R软件用于名ogram构建和验证,包括AUC,C-Index和DCA.

主要成果:

确定月收入,被动吸烟,体育炼,诊断类型,应对风格,感知到的社会支持和连贯感作为重要因素.
该名ogram实现了0.921的高对应指数 (C-指数) 和0.916的曲线下面积 (AUC).
校准和决策曲线分析证实了名图的良好适应性和临床实用性.

结论:

开发的诺米图谱是一种可靠,准确和临床实用的工具,用于预测CC患者严重的CRF.
它可以帮助早期识别和干预患有严重疲劳高风险的患者.
该名图支持个性化风险评估和管理策略,用于患有CRF的CC患者.

关键词:

与癌症有关的疲劳.应对方式应对风格这个名字是名ogramogram.感知到的社会支持一致性的感觉一致性的感觉.

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