肝细胞癌在代谢功能障碍相关的性肝病中
Luis A Rodriguez1,2,3, Julie A Schmittdiel1,2, Liyan Liu1
1Division of Research, Kaiser Permanente Northern California, Oakland.
JAMA network open
|July 11, 2024
概括
一种新的预测模型准确地识别了患有代谢功能障碍相关的脂肪性肝病 (MASLD) 的肝细胞癌 (HCC) 风险较高的患者. 这种工具有助于早期检测和干预这种快速增长的癌症风险.
科学领域:
- 肝病学和瘤学 肝病学和瘤学
- 在慢性疾病中的预测建模.
背景情况:
- 肝细胞癌 (HCC) 是美国增长最快的癌症.
- 预计与代谢功能障碍相关的脂肪性肝病 (MASLD) 将成为HCC的主要原因.
研究的目的:
- 开发和验证一个HCC发病率的预测模型,用于大批患有MASLD的患者.
- 识别可能受益于有针对性的监测或干预的MASLD个体.
主要方法:
- 一项使用超过180万名MASLD患者电子健康记录的预后研究.
- 通过ICD代码,放射学报告的NLP或达拉斯病指数识别的患者.
- 极端梯度增强模型在70:30分列车测试中开发和验证.
主要成果:
- 该模型在验证集中显示出高预测精度 (AUC = 0.899).
- 确定了不同的风险类别:低 (<0.05%),中等 (0.05%-0.09%),高 (≥0.1%) 的HCC概率.
- 在中度 (87.5%的敏感度,81.4%的特异性) 和高风险 (78.4%的敏感度,90.1%的特异性) 值达到良好的灵敏度和特异性.
结论:
- 使用现实数据开发了一种针对MASLD患者HCC发病率的强大预测模型.
- 这种模型可以有效地区分那些会和不会发展HCC的患者.
- 该模型作为一种有价值的工具,用于识别高风险个体,用于HCC监测和管理.
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