基于症状患者的代谢参数预测晚期结直肠瘤
Martin C S Wong1,2,3,4, Eman Yee-Man Leung1, Sam C C Chun1
1The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong SAR, China.
Journal of gastroenterology and hepatology
|July 5, 2023
概括
使用新陈代谢参数的新评分系统可以准确预测有症状的成年人中晚期结直肠瘤 (ACN) 风险. 该工具有助于识别高风险个人及时干预,改善结直肠癌 (CRC) 的结果.
科学领域:
- 在瘤学瘤学.
- 代谢医学是一种代谢医学.
- 预防医学 预防医学
背景情况:
- 结肠直肠癌 (CRC) 是全球癌症死亡的主要原因.
- 早期发现晚期结直肠瘤 (ACN) 对于改善患者的治疗结果至关重要.
- 需要在中国人口中预测ACN风险的预测工具.
研究的目的:
- 开发和验证用于预测ACN风险的评分系统.
- 为了利用代谢参数进行风险分层.
- 为了评估系统在一个大型的中国队列中的性能.
主要方法:
- 一项队列研究,涉及495,584名40岁以上的有症状的个人在香港 (1997-2017).
- 基于代谢和临床参数的风险评分的制定.
- 使用接收器操作特征 (ROC) 曲线分析和曲线下的面积 (AUC) 验证得分系统.
主要成果:
- ACN的关键预测因素包括年龄,男性性别,住院状态,肝酶异常,白细胞计数升高,马-氨基转移酶,甘油三和HbA1c.
- 风险分数<2.65表示低风险 (11%的ACN流行),而分数≥2.65表示高风险 (32%的ACN流行).
- 在导出和验证队列中,风险得分达到70.12%的AUC.
结论:
- 一个简单,准确和用户友好的评分算法有效地预测症状患者的ACN.
- 经过验证的评分系统显示了高的歧视能力.
- 建议进行进一步的研究,以评估算法在不同人群中的性能.
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