在接受化学或放射治疗的宫癌患者中,辐射诱导皮肤炎的风险预测模型
Hong Yang1, Yaru Zhang2, Fanxiu Heng3
1Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Nursing Department, Peking University Cancer Hospital & Institute, Beijing, China.
Asian nursing research
|May 9, 2024
概括
在接受化学放射治疗的宫癌患者中,辐射诱导性皮肤炎 (RD) 的风险很高. 使用电子病历的新预测模型可以识别有风险的患者,有助于管理.
科学领域:
- 在瘤学瘤学.
- 辐射瘤学 辐射瘤学
- 医疗信息学 医疗信息学
背景情况:
- 辐射诱导性皮肤炎 (RD) 是治疗性辐射的常见和衰弱的副作用.
- 有效的RD管理需要准确预测患者的风险.
研究的目的:
- 开发和验证放射诱导性皮肤炎 (RD) 的预测模型,用于接受化疗或放射治疗的宫癌患者.
- 使用电子医疗记录 (EMR) 进行风险分层.
主要方法:
- 从经过化疗或放射治疗的宫癌患者 (2017-2022) 追溯收集临床数据.
- 使用培训数据集开发预测模型,使用单独的测试数据集进行验证.
- 模型性能通过接收机运行特征 (ROC) 曲线分析进行评估.
主要成果:
- 观察到DR的高发病率 (总体为89.5%).
- 确定了关键预测因素:年龄,放射治疗持续时间,血清白蛋白水平,化疗药物治疗方案和后载放射治疗剂量.
- 开发的诺米图表表现出良好的区分能力,AUC为0.66.
结论:
- 接受化疗放射治疗的宫癌患者面临着发展RD的重大风险.
- 基于EMR数据的验证风险预测模型,可以有效地识别患有RD高风险的患者.
- 这种模式可以支持个性化治疗策略,改善患者的生活质量.
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