基于NHANES 2005-2018的癌症幸存者的抑郁风险预测模型的构建和验证
Huijuan Zhang1, Ansi Qi1, Hao Zhang1
1Department of Psychological Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Medicine
|December 2, 2025
概括
一种新型的诺米图准确地预测了癌症幸存者的抑郁风险,使用年龄和病史等因素. 该工具有助于早期识别心理健康需求,以改善患者护理.
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:
- 抑郁症是癌症幸存者普遍关注的问题,需要早期检测.
- 识别患有抑郁症高风险的个体对于及时干预和支持至关重要.
研究的目的:
- 开发和验证癌症幸存者的抑郁风险预测模型.
- 为实际临床使用创建一个整合关键预测因子的nomogram.
主要方法:
- 在国家健康和营养检查调查中利用了2279名癌症幸存者的数据.
- 雇佣的最小绝对缩小和选择操作员和后勤回归来确定预测因素.
- 使用培训和验证集 (7:3比率) 开发并验证了一个名ogram.
主要成果:
- 确定了7个抑郁症的重要预测因素:年龄,教育程度,贫困收入比例,吸烟,充血性心力衰竭,睡眠障碍和癌症数量.
- 命名图实现了0.802 (培训) 和0.794 (验证) 的曲线下的面积.
- 该模型通过决策曲线分析证明了良好的校准和临床效用.
结论:
- 一个经过验证的nomogram有效地预测了癌症幸存者的抑郁风险.
- 开发的工具显示出临床应用的巨大潜力,用于识别有风险的个体.
- 这种预测模型可以促进癌症幸存者的积极心理健康管理.
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