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Updated: Jun 4, 2025

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患有认知障碍的慢性疼痛的危险因素和诊断模型构造

Changteng Zhang^1,2, Ying Su^1,2, Xianzheng Zeng³

¹Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.

Journal of pain research

|December 23, 2024

概括

这项研究开发了一个风险诊断模型,用于慢性疼痛 (CP) 相关的认知障碍 (CI),使用完整的血清参数. 该模型显示了早期检测和个性化干预的良好诊断价值.

科学领域:

神经学神经学
老年学是一门学科.
血液学血液学血液学

背景情况:

认知障碍 (CI) 是慢性疼痛 (CP) 患者常见的并发症,增加痴呆风险.
现有的诊断模型和CP相关CI的生物标志物不足.
完整血清 (CBC) 参数是潜在的生物标志物,但它们在CP相关CI中的特定作用需要进一步调查.

研究的目的:

探索CBC参数与CP相关CI之间的相关性.
建立一个风险诊断模型,用于早期检测与CP相关的CI.

主要方法:

进行了一项涉及163名患者的横截面研究.
用蒙特利尔认知评估 (MoCA) 将患者分为具有CI的CP和没有CI的CP组.
用单变量和多变量逻辑回归分析来识别风险因素,然后用接收器操作特征 (ROC) 曲线分析来评估模型.

主要成果:

年龄,疼痛持续时间和VAS得分被确定为CP相关CI的风险因素.
较低的LMR,较低的绝对中性粒细胞数和较高的淋巴细胞百分比与CP相关的CI有显著的关联.
开发的风险诊断模型显示出良好的诊断价值,AUC为0.803,灵敏度为0.603,特异性为0.871.

结论:

通过使用CBC参数建立了CP相关CI的新型风险诊断模型.
这种模式对早期检测具有重要价值,并为患者提供定制干预措施.
进一步的研究可能会完善这种模型,用于临床应用,用于管理与CP相关的认知衰退.

关键词:

慢性疼痛是一种慢性疼痛.认知障碍是一种认知障碍.完整的血液细胞计数参数完整的血清参数诊断模型诊断模型诊断模型有关风险因素的风险因素.

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