预测甲时性皮肤状细胞癌:基于全国链接的注册表的竞争风险模型
Andrya Reder Hollatz1, Celeste J Eggermont1, Barbara Rentroia-Pacheco1
1Department of Dermatology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, the Netherlands.
The British journal of dermatology
|March 4, 2026
概括
一个新的模型预测了初始诊断后第一个甲时性皮肤状细胞癌 (CSCC) 的个人风险. 该工具有助于对患者进行分层,以便更好地跟踪和管理CSCC风险.
科学领域:
- 在瘤学瘤学.
- 皮肤病学 皮肤病学
- 流行病学 流行病学
背景情况:
- 皮肤状细胞癌 (CSCC) 复发影响了三分之一的患者,增加了转移和死亡风险.
- 目前的随访缺乏风险分层,在患者管理中造成了关键的差距.
研究的目的:
- 开发和验证个人化绝对风险的预后模型,用于第一个超慢性CSCC的个人化绝对风险.
- 为了考虑到老年人群中死亡的竞争风险.
主要方法:
- 全国11737名首次CSCC患者的队列研究 (2007-2008) 和长达10年的随访.
- 用临床和病理预测因素开发的细灰竞争风险模型.
- 通过十倍交叉验证 (AUCt) 和决策曲线分析 (DCA) 评估模型性能.
主要成果:
- 28%的患者出现了第一个超慢性CSCC.
- 关键预测因素:累积紫外线暴露标志物 (AK史,之前的BCC),慢性淋巴细胞白血病/小淋巴细胞白血病 (CLL/SLL),男性性别,同步的CSCC.
- 模型显示了良好的校准和适度的歧视 (5年AUCt:0.64).
- 风险分层显示风险加速近五倍.
结论:
- 一个经过验证的竞争风险模型为甲时性CSCC提供了个性化,校准的绝对风险估计.
- 该模型使用常规可用的临床特征来预测风险加速.
- 进一步的外部验证和新的预测因子识别是个性化监控所需的.
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