慢性疼痛的发展和传播的预后风险评分
Christophe Tanguay-Sabourin1,2,3, Matt Fillingim4,5, Gianluca V Guglietti4,5,6
1Alan Edwards Centre for Research on Pain, McGill University, Montreal, Quebec, Canada. christophe.tanguaysabourin@mcgill.ca.
Nature medicine
|July 6, 2023
概括
慢性疼痛可以使用生物心理社会风险评分来预测. 这一分数可以识别患有广泛疼痛和相关疾病风险的个体,有助于早期干预.
科学领域:
- 医学研究 医学研究
- 生物心理社会健康
- 疼痛管理 疼痛管理
背景情况:
- 慢性疼痛是一种复杂的疾病,具有生物,心理和社会影响.
- 了解疼痛的传播和预测它的发展对于有效的管理至关重要.
研究的目的:
- 开发和验证一个生物心理社会模型,预测慢性疼痛的发展和传播.
- 确定与慢性疼痛相关的关键风险因素.
- 创建慢性疼痛和相关疾病的预测风险评分.
主要方法:
- 利用英国生物库数据 (n=493,211) 开发了一个数据驱动的生物心理社会模型.
- 使用曲线下的面积 (AUC) 计算了分类慢性疼痛和相关疾病的风险评分.
- 在独立的队列中进行了纵向分析并验证了"疼痛传播风险"得分.
主要成果:
- 生物心理社会模型准确地预测了共存的疼痛部位的数量.
- 风险评分显示了慢性疼痛状况 (AUC 0.70-0.88) 和与疼痛相关的疾病 (AUC 0.67-0.86) 的强有力的预测性能.
- 纵向分析显示,风险评分预测到9年后的广泛疼痛发展和高影响性疼痛 (AUC 0.68-0.78).
- 确定的主要危险因素包括失眠,疲劳,压力和肥胖 (BMI>30).
- 一个简化的"疼痛传播风险"得分显示了可比的预测性能.
结论:
- 慢性疼痛状况可以从一组共同的生物心理社会因素中预测.
- 开发的风险评分可以帮助定制研究,优化临床试验随机化,改善疼痛管理策略.
- 通过简单的评估,可以及早识别面临广泛慢性疼痛风险的个体.
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