为预测肺癌患者财务毒性风险开发名图:一个跨部门研究
Hui Shan1, Weisong Wang2, Xiaoying Wang3
1The Affiliated Hospital of Qingdao University, China.
Clinical nursing research
|April 3, 2025
概括
金融毒性是肺癌患者的重要关注点,原因是治疗成本高昂. 这项研究确定了关键的风险因素,并开发了一种预测模型,以帮助医务人员有效地管理财务负担.
科学领域:
- 在瘤学瘤学.
- 卫生经济学 卫生经济学
- 医疗信息学 医疗信息学
背景情况:
- 肺癌治疗的进步提供了希望,但增加了医疗保健成本.
- 高昂医疗费用造成的财务毒性,需要在肺癌患者中进一步调查.
- 医疗保健专业人员目前对肺癌金融毒性的研究需要加强.
研究的目的:
- 描述和分析肺癌患者的金融毒性状况.
- 为了确定与金融毒性相关的重大风险因素,在这个人群中.
- 开发和验证肺癌患者金融毒性的预测模型.
主要方法:
- 一项涉及218名来自青岛和天津两家医院的肺癌患者的横截面研究.
- 结合拉索回归和随机森林方法来确定关键的金融毒性风险因素.
- 开发并验证了用于风险预测的名录,评估其歧视,校准和使用ROC曲线和决策曲线分析的临床实用性.
主要成果:
- 确定了教育水平,居住地,家庭月收入,自付费用,化疗史和放射治疗史作为财务毒性的重要因素.
- 开发的名图表显示了高预测性能,训练组的曲线下面积 (AUC) 为0.930,测试组为0.939.
- 风险预测模型表现出卓越的预测歧视,校准和临床实用性.
结论:
- 金融毒性在肺癌患者中普遍存在,并受到多种社会经济和治疗相关因素的影响.
- 经过验证的风险预测模型有助于医务人员在早期查和识别高风险的金融毒性患者.
- 医疗保健专业人员可以根据个人患者评估和模型预测开发个性化干预策略,以减轻财务毒性.
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