对个人预测术后疼痛方法的系统审查
Krister Mogianos1,2, Jonas Åkeson2,3, Anna K M Persson1,2
1Department of Anesthesiology and Intensive Care Medicine, Halland's Hospital Halmstad, Halmstad, Sweden.
Pain research & management
|February 14, 2025
概括
预测术后疼痛对于患者护理至关重要. 本综述探讨了识别有风险的个体的新方法,将重点转移到个性化疼痛管理策略上.
科学领域:
- 麻醉学 麻醉学
- 疼痛管理 疼痛管理
- 医疗信息学 医疗信息学
背景情况:
- 急性术后疼痛带来了重大的临床挑战,并可能带来长期后果.
- 对手术后疼痛的个性化预测对于有效的临床管理至关重要.
- 关于预测方法的当前知识需要进行系统审查,以确定进步.
研究的目的:
- 系统地审查当前关于手术后疼痛个体预测方法的知识.
- 识别和评估用于术前疼痛预测的新工具和策略.
- 综合各种疼痛预测方法有效性的研究结果.
主要方法:
- 在PubMed,EMBASE和CINAHL数据库 (2016-2022) 的系统文献搜索.
- 包括与成年患者进行的原始研究,评估术前风险因素和术后疼痛.
- 对107篇使用Covidence进行查和数据收集的文章进行了定性分析.
主要成果:
- 在选了1950个摘要和审查了208个完整文本后,包括了107篇文章.
- 新的预测方法包括带诱导的疼痛,止痛/感觉指数和脑电图记录.
- 心理测量问卷和定量感官测试等传统方法需要进一步调查.
结论:
- 各种查方法旨在识别容易患上术后疼痛的患者.
- 对于早期疼痛管理的个性化策略的转变是显而易见的.
- 许多传统预测方法的临床实用性仍然不确定.
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