数字疼痛图识别常见的腰椎脊柱狭窄的疼痛分布模式:一个横截面隐藏类分析
James J Young1,2, Natalie Hong Siu Chang3,4, Casper Nim3,4
1University Health Network, Toronto, Canada. james.young2@uhn.ca.
概括
研究人员使用数字疼痛图识别了腰椎狭窄症 (LSS) 患者的六种不同的疼痛模式. 这些模式突出了LSS疼痛表现的多样化方式,表明了潜在的临床表型.
科学领域:
- 整形外科和脊椎外科手术
- 疼痛医学 医学 疼痛医学
- 生物统计学 生物统计学
背景情况:
- 腰椎脊柱狭窄症 (LSS) 是一种常见的疾病,导致神经性听.
- 了解疼痛分布对于诊断和治疗LSS至关重要.
- 数字疼痛图 (PD) 提供了一种标准化的疼痛评估方法.
研究的目的:
- 识别和分类LSS患者常见的疼痛分布模式.
- 根据LSS.的疼痛表现来探索潜在的临床表现型.
主要方法:
- 在2,379名LSS患者的数字疼痛图上进行了潜在类别分析.
- 分析了疼痛分布模式,以确定不同的患者亚组.
- 模型的选择是基于统计标准和临床解释性.
主要成果:
- 一个六类模型最好地代表了LSS患者的疼痛分布模式.
- 确定的模式包括双边/单边腿部疼痛,有或没有腰部疼痛,以及多部位疼痛.
- 患病率各不相同,单侧后腿疼痛 (26.1%) 和单侧前/后腿疼痛 (22.9%) 是最常见的.
结论:
- 在LSS患者中存在明显的,临床上可识别的疼痛模式.
- 这些模式可能代表不同的LSS表型.
- 需要进一步的研究来验证这些模式及其临床意义.
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