我们能预测谁会在使用戒烟药物治疗时经历不良事件吗? 对EAGLES临床试验的二次分析
Bethany J Wolf1, Kevin M Gray2,3, Jennifer R Dahne2,3
1Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
概括
预测吸烟戒烟辅助剂 (如瓦雷尼克林和布罗) 的副作用是可能的. 这种知识可以为寻求戒烟的个人个性化治疗计划.
科学领域:
- 临床药理学 临床药理学
- 成 药物 药物 药物 药物
- 公共卫生 公共卫生
背景情况:
- 戒烟药物治疗,包括瓦里尼克林,布洛普和尼古丁替代疗法 (NRT),由于潜在的副作用问题而面临障碍.
- 药物治疗显著增加成功戒烟的机会.
- 对副作用的个性化预测可以改善治疗计划和患者监测.
研究的目的:
- 开发预测模型,用于个人在戒烟药物治疗期间经历中度至重度不良事件 (AE) 的可能性.
- 评估特定药物 (瓦里尼克林,布洛普,NRT) 和精神病/非精神病性AE之间的关联.
主要方法:
- 从全球戒烟研究中评估不良事件的美国4209名成年吸烟者的数据的二次分析.
- 使用预治疗人口和临床数据开发多变量后勤回归模型.
- 预测12周治疗瓦雷尼克林,布洛普,NRT或安慰剂期间中度至严重的精神和非精神病性副作用.
主要成果:
- 预测模型显示了可接受的准确性 (接收器操作特征曲线下的面积) 对于精神病AEs与布罗和NRT,和非精神病AEs与瓦雷尼克林和布罗.
- 在调整了基线特征后,药物类型与精神病AEs没有显著的关联.
- 与安慰剂相比,瓦伦尼克林在非精神病学AE方面显示出差异.
结论:
- 在开始戒烟治疗之前,可以预测一个人可能经历中度至严重的精神和非精神病性不良事件的可能性.
- 药物选择没有显著影响精神病AEs的概率.
- 这些预测模型为开发临床决策支持工具提供了基础,以加强戒烟治疗策略.
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