在未经治疗的慢性乙型肝炎患者中预测免疫爆发,使用新型风险因素和FLARE-B评分
Danny Con1, Daniel Clayton-Chubb2,3, Steven Tu4
1Department of Gastroenterology, Eastern Health, Box Hill Hospital, 8 Arnold Street, Box Hill, Melbourne, Victoria, 3128, Australia. dannycon302@gmail.com.
Digestive diseases and sciences
|November 18, 2024
概括
预测慢性乙型肝炎 (CHB) 免疫爆发至关重要. 新的预测因素,如血清球蛋白和肝硬度升高,以及新的评分 (FLARE-B),有助于识别高风险患者进行个性化CHB管理.
科学领域:
- 肝病学 肝病学是一种肝病学.
- 病毒学 病毒学
- 机器学习在医学中的应用
背景情况:
- 慢性乙型肝炎 (CHB) 免疫爆发的了解很少.
- 预测这些爆发对于管理非肝硬化,未经治疗的CHB患者至关重要.
- 识别新的风险因素可以改善患者的治疗结果.
研究的目的:
- 在未经治疗的非肝硬化患者中发现CHB免疫爆发的预测因子.
- 为了开发一个简单的风险分层分数 (FLARE-B) 的CHB火焰.
- 为了比较不同的机器学习算法用于爆发预测的有效性.
主要方法:
- 对405名未经治疗,非肝硬化CHB患者的回顾性队列研究,基线ALT正常.
- 患者被监测到是否有免疫爆发 (ALT是正常的上限的两倍).
- 开发了统计和机器学习模型,并使用引导验证进行内部验证.
主要成果:
- 17%的患者在5年内经历了免疫爆发 (年均发病率为4.0%).
- 确定了关键预测因素:血清环球蛋白升高,年龄较小,HBeAg阳性状态,病毒载量较高和肝硬度升高.
- FLARE-B得分实现了0.702的乐观度调整后5年AUC;随机生存森林实现了0.725.
结论:
- 血清环球蛋白升高,肝硬度升高,肝硬化缺失是CHB爆发的新型预测因素.
- FLARE-B评分可以对患者进行风险分层.
- FLARE-B可以指导个性化的CHB管理,包括监测和抗病毒治疗决策.
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