慢性腰部疼痛的生物行为表型:使用潜形状分析识别心理社会子组
Fatemeh Gholi Zadeh Kharrat1,2, Prakruthi Amar Kumar3, Wolf Mehling4
1Department of Orthopaedic Surgery, University of California, San Francisco.
Pain medicine (Malden, Mass.)
|July 25, 2025
概括
潜伏特征分析在慢性腰部疼痛 (cLBP) 患者中确定了四种不同的生物行为表型. 针对这些小组量身定制治疗方法,如"高危"或"性应对",可以改善结果.
科学领域:
- 生物医学研究的研究.
- 疼痛管理 疼痛管理
- 心理学 心理学 心理学
背景情况:
- 慢性腰部疼痛 (cLBP) 是一种异质的疾病,患者的经验各不相同.
- 了解不同的生物行为特征对于有效治疗至关重要.
研究的目的:
- 在慢性下背痛 (cLBP) 患者中使用隐形形状分析 (LPA) 识别和表征不同的生物行为表型.
主要方法:
- 利用了NIH HEAL BACPAC联盟中的两个大型队列 (BACKHOME和COMEBACK) 的基线数据.
- 嵌入的疼痛特征,心理社会因素,生活方式和健康的社会决定因素.
- 采用10倍交叉验证,并使用AIC,BIC和Entropy评估模型匹配.
主要成果:
- 确定了四种不同的表型:"高痛苦和不适应性行为"",弹性和适应性应对"",中间不适应性模式"和"高疼痛负担的情绪调节".
- 在疼痛自我效能,避免恐惧,情绪意识,疼痛严重程度和随着时间推移的生活质量方面,在各类之间观察到显著的差异.
- 模型在训练和测试数据集中表现出良好的性能和通用性.
结论:
- cLBP表现出显著的异质性,需要个性化治疗策略.
- 根据生物行为特征,LPA提供了一个强大的框架,用于识别基于生物行为特征的临床上有意义的患者子组.
- 针对不同的表型有望改善cLBP管理中的临床结果.
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