构建和验证多发性骨髓瘤化疗患者焦虑和抑郁症的诺莫格拉姆预测模型
Liping Wu1, Yizhen Li2, Hui Li3
1Department of pharmacy, Ganzhou People's Hospital, Ganzhou, Jiangxi, China.
Frontiers in psychiatry
|January 28, 2026
概括
一种名ogram模型准确地预测了多发性骨髓瘤 (MM) 化疗患者的焦虑和抑郁. 关键的风险因素包括性别,教育,瘤阶段和治疗,而经济收入是保护性的.
科学领域:
- 在瘤学瘤学.
- 精神病学是一个精神病学.
- 生物统计学 生物统计学
背景情况:
- 多发性骨髓瘤 (MM) 的化疗与显著的心理痛苦有关.
- 焦虑和抑郁是接受治疗的MM患者常见的并发症.
- 需要预测模型来识别有风险的患者,以获得更好的支持性护理.
研究的目的:
- 构建和验证MM化疗患者焦虑和抑郁症的诺莫格拉姆预测模型.
- 确定与该人口中焦虑和抑郁相关的临床和人口因素.
主要方法:
- 一组333名MM化疗患者被分为建模 (70%) 和验证 (30%) 组.
- 多变量物流回归被用于识别风险和保护因素.
- 使用R软件构建了一个名图,并使用AUC和Hosmer-Lemeshow (H-L) 测试进行验证.
- 临床决策分析 (DCA) 曲线评估了临床效用.
主要成果:
- 焦虑和抑郁的发生率为28.33% (233名患者中有66名).
- 重要的风险因素包括性别,教育水平,瘤阶段,并发症和治疗计划 (P<0.05).
- 经济收入是一个保护因素 (P<0.05).
- 诺米图表显示出高预测准确度,AUC为0.945 (建模) 和0.967 (验证).
- 在H-L测试中,在两组中都显示出很好的模型匹配 (P > 0.05).
- DCA曲线为0.05和0.95.5之间的概率提供了临床实用性.
结论:
- 性别,教育,瘤阶段,并发症和治疗方案是MM化疗患者焦虑和抑郁症的重要风险因素.
- 财务收入作为一个保护因素.
- 开发的诺米图谱为在接受化疗的MM患者中可视预测焦虑和抑郁的风险提供了有价值的工具.
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