对严重喘生物药物反应的预测因素:系统审查和元分析
Anna Rattu1,2, Piers Dixey3,4, David Charles5
1Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
确定治疗严重喘的最佳生物药物至关重要. 较高的血中乙氨基酸细胞数量,FeNO水平,较低的口服皮质类固醇使用,以及更好的喘控制预测了对生物药物的积极反应.
科学领域:
- 肺部病理学 肺部病理学
- 免疫学 免疫学 免疫学
- 药理学 药理学是指药理学的学科.
背景情况:
- 生物学家为严重喘提供有效的治疗方法.
- 患者对生物制剂的反应有很大差异.
- 预测哪种生物药物对个体患者最有效仍然是一个挑战.
研究的目的:
- 系统地确定严重喘中对生物制剂 (不包括奥马利祖马布) 的反应预测因子.
- 综合有关与生物治疗疗效相关的患者特征的证据.
- 评估已识别的预测因素的证据质量.
主要方法:
- 在四个数据库和两个试验注册表 (1990-2024) 中进行系统的文献搜索.
- 数据提取和偏差风险评估由两个独立审稿人进行.
- 叙事综合和元分析 (如适用),并进行GRADE确定性评估.
主要成果:
- 中等到高质量的证据表明,血中异氨基酸细胞数量升高 (≥300细胞/μL),FeNO水平高 (>40ppb),口服皮质类固醇 (OCS) 使用低或不使用 (<10 mg/天),以及更好的喘控制预测了生物反应.
- 对其他预测因素的证据有限,质量低.
- 对于儿科群体或非T2通路生物体没有发现数据.
结论:
- 血中乙氨基酸细胞数量,FeNO水平,OCS剂量和喘控制是严重喘生物反应的关键预测因素.
- 需要进一步的研究来确定普遍适用的预测因素,特别是对于非T2向疗法和儿科患者.
- 响应定义中的异质性和不准确性限制了许多预测器的证据确定性.
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