对于晚期结直肠瘤的定量便免疫化学试验风险分层
Hewei Wu1, Zhongxue Han1, Iqtida Ahmed Mirza2
1Qilu Hospital of Shandong University Jinan China.
概括
一个新的模型有效地识别使用定量便免疫化学测试 (qFIT) 和临床数据的高级结直肠瘤 (ACRN) 高风险个体. 该工具有助于确定结肠镜的优先级,并提高结肠直肠癌查效率.
科学领域:
- 结肠直肠癌研究研究
- 诊断模型开发的发展.
- 临床风险分层的临床风险分层
背景情况:
- 开发高级结直肠瘤 (ACRN) 的准确风险分层模型对于有效的查至关重要.
- 量化便免疫化学测试 (qFIT) 与临床数据相结合,提供了一个有前途的方法.
研究的目的:
- 开发和外部验证ACRN的风险分层模型.
- 将qFIT结果与易于访问的临床变量结合起来.
主要方法:
- 使用了一项多中心研究,其中包括开发 (3209人) 和验证 (1678人) 组.
- 多变量后勤回归确定了ACRN的显著风险因素.
- 模型性能使用AUROC和Hosmer-Lemeshow测试进行评估,随后进行风险级别分类.
主要成果:
- 确定的主要危险因素包括年龄,性别,BMI,居住地,酒精摄入量,吸烟以及便中的血红蛋白度.
- 该模型显示出强大的预测性能 (AUROC = 0.870) 和良好的校准 (P = 0.929).
- 在各个风险级别中,ACRN的患病率显著增加:1.66% (低),4.50% (中等),28.45% (高) 和60.64% (非常高).
结论:
- 开发的模型有效地分层了ACRN风险,指导高风险个体的快速结肠镜检查.
- 这种方法可以增强结肠直肠癌 (CRC) 查策略,并优化资源配置.
- 与标准FIT相比,该模型可能会提高晚期腺瘤的检测率.
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