Substantial interindividual variability characterizes osteoarthritis (OA) pain. Previous findings identify quantitative sensory testing (QST), psychological factors, and health-related quality of life as contributors to OA pain and predictors of treatment outcomes. This exploratory study aimed to explain baseline OA pain intensity and predict OA pain after administration of a nonsteroidal anti-inflammatory drug in combination with paracetamol for 3 weeks. The Knee Injury and Osteoarthritis Outcome Score (KOOS) pain score was used to estimate OA pain presentation. One hundred one patients were assessed at baseline and follow-up using QST (pressure pain thresholds and temporal summation of pain [TSP]), symptoms of depression and anxiety, pain catastrophizing scales (PCSs), and health-related quality of life. Linear regression with backward selection identified that PCS significantly explained 34.2% of the variability in baseline KOOS pain, with nonsignificant contributions from TSP. Pain catastrophizing score and TSP predicted 29.3% of follow-up KOOS pain, with nonsignificant contributions from symptoms of anxiety. When assessed separately, PCS was the strongest predictor (32.2% of baseline and 24.1% of follow-up pain), but QST, symptoms of anxiety and depression, PCS, and quality of life also explained some variability in baseline and follow-up knee OA pain. Further analyses revealed that only TSP and PCS were not mediated by any other included variables, highlighting their role as unique contributors to OA pain presentation. This study emphasizes the importance of embracing a multimodal approach to OA pain and highlights PCS and TSP as major contributors to the baseline OA pain experience and the OA pain experience after OA treatment.

中文翻译：

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定量感觉测试、心理因素和生活质量作为膝骨关节炎患者当前和未来疼痛的预测因素。

骨关节炎 (OA) 疼痛的特点是存在显着的个体差异。先前的研究结果表明，定量感觉测试（QST）、心理因素和健康相关的生活质量是骨关节炎疼痛的影响因素和治疗结果的预测因素。这项探索性研究旨在解释基线 OA 疼痛强度，并预测非甾体类抗炎药与扑热息痛联合用药 3 周后的 OA 疼痛。膝关节损伤和骨关节炎结果评分 (KOOS) 疼痛评分用于评估 OA 疼痛表现。使用 QST（压痛阈值和疼痛时间总和 [TSP]）、抑郁和焦虑症状、疼痛灾难化量表 (PCS) 以及健康相关生活质量对 101 名患者进行基线和随访评估。向后选择的线性回归发现，PCS 显着解释了基线 KOOS 疼痛变异性的 34.2%，而 TSP 的贡献不显着。疼痛灾难化评分和 TSP 预测了 29.3% 的后续 KOOS 疼痛，其中焦虑症状的贡献不显着。单独评估时，PCS 是最强的预测因子（基线的 32.2% 和随访疼痛的 24.1%），但 QST、焦虑和抑郁症状、PCS 和生活质量也解释了基线和随访膝关节的一些变异骨关节炎疼痛。进一步的分析显示，只有 TSP 和 PCS 不受任何其他包含的变量介导，突出了它们作为 OA 疼痛表现的独特贡献者的作用。这项研究强调了采用多模式方法治疗 OA 疼痛的重要性，并强调 PCS 和 TSP 是 OA 疼痛基线体验和 OA 治疗后 OA 疼痛体验的主要贡献者。