Chang Xiaofeng, Yao Shuxin, Wei Jie, Shang Lei, Xu Chao, Ma Jianbing
Department of Knee Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, No. 555 E.Youyi Rd, Xi'an, 710061, China.
Xi'an medical university, No. 1, Xinwang Rd, Weiyang District, Xi 'an, 710021, China.
J Orthop Surg Res. 2025 Jan 24;20(1):94. doi: 10.1186/s13018-025-05510-y.
Patients with knee osteoarthritis (KOA) often experience persistent pain and functional impairment after total knee arthroplasty (TKA), which presents challenges for pain management. Accurate preoperative assessment of pain characteristics is crucial for tailoring individualized treatment plans. The PainDETECT Questionnaire has been widely used to identify neuropathic components in chronic pain and has been validated for its reliability and validity across various cultural contexts. However, a culturally adapted version tailored to Chinese patients is currently lacking. This study aims to translate and culturally adapt PainDETECT for Chinese patients and evaluate its validity in TKA patients in China.
This study followed international guidelines to translate and adapt the PainDETECT Questionnaire (PDQ) into Chinese (PDQ-CV). A cohort of 241 knee osteoarthritis (KOA) patients completed the PDQ-CV, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), EuroQol-5 Dimensions-5 Levels (EQ-5D-5 L), and Central Sensitization Inventory Chinese Version (CSI-CV). We assessed internal consistency using Cronbach's alpha and test-retest reliability via intraclass correlation coefficient (ICC). Construct and structural validity were evaluated through Pearson correlations and factor analyses.
The PDQ-CV demonstrated good acceptability among KOA patients, with no floor or ceiling effects observed. Internal consistency was high (Cronbach's α = 0.896), and test-retest reliability was excellent (ICC = 0.994; 95% CI: 0.943-1.045). The PDQ-CV total score showed significant positive correlations with WOMAC (r = 0.589, P < 0.01), EQ-5D-5 L (r = 0.533, P < 0.01), and CSI-CV (r = 0.776, P < 0.01). Exploratory factor analysis (EFA) extracted two primary factors, corresponding to the sensory dimension (52.1% variance) and the affective dimension (16.3% variance), explaining a total variance of 68.4%.
The PDQ-CV demonstrated good feasibility, reliability, and validity in Chinese KOA patients, supporting its use in clinical practice and providing a foundation for future research.
膝关节骨关节炎(KOA)患者在全膝关节置换术(TKA)后常经历持续疼痛和功能障碍,这给疼痛管理带来了挑战。术前准确评估疼痛特征对于制定个性化治疗方案至关重要。疼痛检测问卷已被广泛用于识别慢性疼痛中的神经病理性成分,并已在各种文化背景下验证了其可靠性和有效性。然而,目前缺乏针对中国患者的文化适应性版本。本研究旨在将疼痛检测问卷翻译成中文并进行文化适应,评估其在中国TKA患者中的有效性。
本研究遵循国际指南将疼痛检测问卷(PDQ)翻译成中文(PDQ-CV)。241例膝关节骨关节炎(KOA)患者完成了PDQ-CV、西安大略和麦克马斯特大学骨关节炎指数(WOMAC)、欧洲五维健康量表(EQ-5D-5L)和中文版中枢敏化量表(CSI-CV)。我们使用Cronbach's α评估内部一致性,并通过组内相关系数(ICC)评估重测信度。通过Pearson相关性分析和因子分析评估结构效度和构建效度。
PDQ-CV在KOA患者中显示出良好的可接受性,未观察到地板效应或天花板效应。内部一致性较高(Cronbach's α = 0.896),重测信度极佳(ICC = 0.994;95% CI:0.943 - 1.045)。PDQ-CV总分与WOMAC(r = 0.589,P < 0.01)、EQ-5D-5L(r = 0.533,P < 0.01)和CSI-CV(r = 0.776,P < 0.01)呈显著正相关。探索性因子分析(EFA)提取了两个主要因子,分别对应感觉维度(方差贡献率52.1%)和情感维度(方差贡献率16.3%),共解释了68.4%的总方差。
PDQ-CV在中国KOA患者中显示出良好的可行性、可靠性和有效性,支持其在临床实践中的应用,并为未来研究奠定了基础。