慢性术后疼痛的预后模型-当前的发展,趋势和挑战
Daniel Segelcke1, Daniela C Rosenberger, Esther M Pogatzki-Zahn
1Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Muenster, Muenster, Germany.
Current opinion in anaesthesiology
|August 8, 2023
概括
开发慢性术后疼痛 (CPSP) 的准确预后模型对于识别风险患者至关重要. 目前的模型在性能上有所不同,并且需要进一步验证以供临床使用.
科学领域:
- 疼痛医学 医学 疼痛医学
- 临床流行病学临床流行病学
- 生物统计学 生物统计学
背景情况:
- 慢性术后疼痛 (CPSP) 影响许多患者,需要预测工具.
- 预测模型旨在识别患有CPSP风险的个体.
- 早期识别可以进行有针对性的干预,改善患者的治疗结果.
研究的目的:
- 审查CPSP预后模型的现状.
- 讨论这个领域的挑战,局限性和未来方向.
- 突出需要改进模型的开发和验证.
主要方法:
- 对开发CPSP预后模型的研究进行系统审查.
- 分析各种预测因素,包括人口,临床和心理社会变量.
- 对模型性能,准确性和验证方法的评估.
主要成果:
- 许多模型已经开发使用不同的外科手术周围因素.
- 在模型生成,性能和准确性方面存在显著差异.
- 对CPSP现有的预后模型的验证非常稀缺.
结论:
- 为了开发CPSP的精确预后模型,需要在方法学上取得进展.
- 在大型队列中,急需更准确,更有效的模型.
- 进一步的验证研究对于提高CPSP预后模型的可靠性和临床适用性至关重要.
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