识别神经性疼痛药物处方,坚持和停药的预测因素:系统性审查和元分析
Mia E Koponen1, Dhaneesha N S Senaratne1, Harry L Hébert1
1Chronic Pain Research Group, Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK.
British journal of anaesthesia
|November 28, 2025
概括
许多患有神经性疼痛的人没有得到推的药物治疗或提前停止治疗. 确定了处方,坚持和停止治疗的预测因素,以改善疼痛管理策略.
科学领域:
- 药学流行病学 药学流行病学
- 疼痛管理 疼痛管理
- 药物治疗 药物治疗
背景情况:
- 在神经病痛疼痛管理中,低于最佳的处方,坚持和治疗持久性是常见的.
- 确定这些结果的预测因素对于优化患者护理策略至关重要.
研究的目的:
- 进行系统审查和元分析.
- 为了确定处方的预测因素,坚持,和止痛药在成人神经病痛的止痛药.
主要方法:
- 系统审查和元分析.
- 通过电子数据库进行搜索 (Embase,PubMed,科学网,CINAHL Plus).
- 包括69项有关处方,坚持和停止治疗的相关研究.
主要成果:
- 处方预测因素:精神健康障碍,糖尿病,白人种族.
- 附着性预测因子:血清 - 上腺素再吸收抑制剂,剂量定位,药物提醒.
- 停止治疗的预测因素:三环抗抑郁药,组合药物治疗.
结论:
- 改善少数民族和没有糖尿病的人的处方.
- 通过剂量定位和药物提醒来提高药物的坚持.
- 考虑单药疗法而不是组合疗法,以获得更好的治疗持久性.
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