在癌症患者中找到成功阿片类药物反应的预测因素:分析了四项随机对照试验的数据
Maike S Imkamp1, Maurice Theunissen2, Sander M van Kuijk1
1Department of Clinical Epidemiology and Medical Technology, Maastricht University Medical Centre+ (MUMC+), Maastricht, The Netherlands.
Pain practice : the official journal of World Institute of Pain
|August 31, 2023
概括
预测成功的阿片类药物治疗癌症疼痛是复杂的. 芬太尼和美沙显示出希望,但目前的模型缺乏预测能力,需要进一步研究额外的患者和阿片类药物特征.
科学领域:
- 在瘤学瘤学.
- 疼痛管理 疼痛管理
- 药理学 药理学是指药理学的学科.
背景情况:
- 对于选择最佳的强阿片类药物来治疗与癌症相关的疼痛,目前还没有确立的共识.
- 个性化阿片类药物治疗需要更深入地了解影响治疗反应的患者和阿片类药物特征.
研究的目的:
- 评估在患有癌症的患者中成功的阿片类药物治疗反应的潜在预测因素.
- 确定与短期和中期治疗成功相关的患者和阿片类药物因素.
主要方法:
- 来自四项随机对照试验 (RCT) 的个人水平数据的综合分析,涉及881名患者.
- 研究了对吗啡,布普伦诺啡,甲,氧和芬太尼的短期 (1周) 和中期 (4-5周) 反应.
- 检查的预测因素包括人口统计,疼痛特征,心理因素,表现状况,阿片类型和联合药物.
主要成果:
- 阿片类型和疼痛类型是短期治疗成功的重要预测因素.
- 性,年龄,疼痛类型,焦虑和阿片类型与中期治疗成功有关.
- 开发的模型在预测治疗成功方面具有较低的判别能力.
结论:
- 芬太尼,甲和混合疼痛类型是癌症疼痛治疗成功的统计学显著预测因素.
- 目前的预测因素不足以开发一个强大的临床预测模型.
- 未来的模型开发需要额外的,尚未识别的预测因素.
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