预测和风险因素分层对肝细胞癌患者的生存:全国大数据分析
Jin Woo Choi1, Soohee Kang2, Juhee Lee2
1Department of Radiology, Seoul National University Hospital, Seoul National University, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
Scientific reports
|June 27, 2023
概括
这项研究使用全国数据开发了一种新的肝细胞癌 (HCC) 预后系统. 瘤负担等级是预测HCC患者整体存活率 (OS) 的关键因素.
科学领域:
- 肝病学 肝病学是一种肝病学.
- 在瘤学瘤学.
- 数据科学数据科学数据科学
背景情况:
- 肝细胞癌 (HCC) 是一个主要的全球健康问题.
- 准确的预后对于有效的HCC患者管理至关重要.
- 现有的预后模型可能无法完全捕捉HCC进展的复杂性.
研究的目的:
- 确定影响HCC患者整体存活时间 (OS) 的关键风险因素.
- 利用全国大数据开发和验证HCC的新型预后系统.
- 根据已识别的风险因素,将HCC患者分为不同的预后组.
主要方法:
- 对10573名成年HCC患者 (2008-2014) 全国数据库的分析.
- 开发使用导出队列 (6830名患者) 和条件推理树分析的预测系统.
- 系统的验证使用单独的医院队列 (4580名患者) 与C指数和校准图谱评估.
主要成果:
- 瘤负担 (TB) 级别成为HCC中OS最重要的预测因素.
- 在TB3 (TB1-3与TB4) 的切断线有效地分层了患者.
- 开发的系统创建了13个不同的预测组,具有很高的预测准确性 (C指数为0.714和0.737).
结论:
- 一个新的树结构预测系统准确地分层了HCC患者的预后.
- 该系统有效地可视化了影响整体生存的风险因素层.
- 该工具有助于详细评估患者的风险,并为HCC提供个性化的治疗策略.
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