在多学科脊柱中心对慢性疼痛患者的分析
Lisa R Witkin1, Jessica Kim2, Jacky Choi2
1Department of Anesthesiology, Weill Cornell Medicine, New York, NY, USA.
Pain management
|February 10, 2026
概括
这项研究对脊柱中心患者进行了特征性研究,发现诊断范围内的中度疼痛和功能障碍. 对于激素病患者来说,睡眠,情绪,吸烟,BMI和人口统计等因素预测了更糟糕的结果.
科学领域:
- 脊柱护理和患者结果研究.
- 多学科脊柱中心患者表征.
- 对脊柱状况中的社会人口统计学和临床因素的分析.
背景情况:
- 多学科的脊柱中心管理不同患者群体,患者疼痛和功能状态各不相同.
- 了解患者特征对于优化护理途径至关重要.
- 确定不良结果的预测因素可以指导有针对性的干预措施.
研究的目的:
- 在一个多学科的脊柱中心对社会人口统计学,疼痛和功能进行患者的表征.
- 为了确定与更糟糕的结果相关的因素,特别是在激素病患者中.
- 通过了解患者异质性,为精准护理策略提供信息.
主要方法:
- 基于注册表的回顾性队列研究,对10,069名患者进行.
- 从问卷和电子健康记录 (EHR) 中提取的数据.
- 使用通用线性混合模型 (GLMM) 分析了根茎病患者 (n=653) 来确定结果预测因素.
主要成果:
- 患者呈现中度疼痛强度 (NRS:5.1) 和显著的PROMIS-PI (64.6) 和PROMIS-PF (37.7) 损伤.
- 纵向分析显示,睡眠干扰,抑郁/焦虑,吸烟,BMI,女性性别,黑人/非裔美国人或亚洲人种族作为根性病变更糟糕结果的预测因素.
- 统计学上显著的因素 (p < 0.05) 已被确定为激光病患者的结果.
结论:
- 确定了脊柱患者不良结果的预测因素,突出了针对性干预的机会.
- 强调需要调查健康差异如何影响治疗结果.
- 建议识别不响应者可以提高精准护理的治疗选择,降低成本和残疾.
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