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已发表论文
单髁膝关节置换术围手术期简明疼痛量表的最小临床重要差异：一项前瞻性观察研究
Authors Tang R, Wan D, Wang Q, Ye J, Tan Y, Yao S, Ma J, Xu C
Received 18 September 2025
Accepted for publication 18 December 2025
Published 25 December 2025 Volume 2025:18 Pages 7127—7138
DOI https://doi.org/10.2147/JPR.S563987
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Alaa Abd-Elsayed
Rui Tang,1,2,* Dongping Wan,3,* Qingzhen Wang,4,5,* Jiahui Ye,3 Yanchen Tan,6 Shuxin Yao,1 Jianbing Ma,1 Chao Xu1
1Department of Knee Joint Surgery, Honghui Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China; 2The Clinical Medical College, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, People’s Republic of China; 3The First Clinical Medical College, Guangxi University of Chinese Medicine, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China; 4School of Basic Medicine, Dali University, Dali, Yunnan, People’s Republic of China; 5School of Basic Medicine, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China; 6Student Brigade of Basic Medical College, Air Force Military Medical University, Xi’an, Shaanxi, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Chao Xu, Department of Knee Joint Surgery, Honghui Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China, Email honghuixuchao@163.com
Purpose: To define the Minimal Clinically Important Difference (MCID) for the Brief Pain Inventory (BPI) during the perioperative period of Unicompartmental Knee Arthroplasty (UKA).
Methods: A total of 394 UKA patients were recruited from January 2022 to October 2024, following the inclusion and exclusion criteria. During hospitalization, each patient completed the Likert scale and BPI scale to record pain and functional changes pre- and postoperatively during the perioperative period. Based on the Likert scale responses, patients were divided into the “Improvement Group” and “Non-Improvement Group”. The MCID of the BPI scale in UKA patients during the perioperative period was analyzed and calculated using three methods: the anchor-based method, the distribution-based method, and ROC curve analysis. The ROC curve method determined the cut-off value for MCID based on the area under the curve (AUC) and the optimal Youden index.
Results: Based on the Likert scale responses, 154 patients were classified into the “Improvement Group” and 79 patients into the “Non-Improvement Group”. The MCID values of the BPI scale calculated by the three methods were as follows: for BPI-PI, the MCID values were 1.66 (anchor-based method), 1.02 (distribution-based method), and 1.63 (ROC curve analysis, AUC = 0.907, P < 0.001); for BPI-GII, the MCID values were 2.02 (anchor-based method), 1.04 (distribution-based method), and 1.90 (ROC curve analysis, AUC = 0.934, P < 0.001).
Conclusion: Given the potential discrepancies in MCID values calculated by different methods, the values derived from the anchor-based method and ROC curve analysis were closer to each other and demonstrated higher reliability compared to those obtained using the distribution-based method. Furthermore, this study provides valuable reference data for assessing perioperative pain in UKA patients, which can assist in optimizing pain management strategies and improving postoperative recovery experiences.
Keywords: minimal clinically important difference, brief pain inventory, unicompartmental knee arthroplasty, perioperative period
1Department of Knee Joint Surgery, Honghui Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China; 2The Clinical Medical College, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, People’s Republic of China; 3The First Clinical Medical College, Guangxi University of Chinese Medicine, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China; 4School of Basic Medicine, Dali University, Dali, Yunnan, People’s Republic of China; 5School of Basic Medicine, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China; 6Student Brigade of Basic Medical College, Air Force Military Medical University, Xi’an, Shaanxi, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Chao Xu, Department of Knee Joint Surgery, Honghui Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China, Email honghuixuchao@163.com
Purpose: To define the Minimal Clinically Important Difference (MCID) for the Brief Pain Inventory (BPI) during the perioperative period of Unicompartmental Knee Arthroplasty (UKA).
Methods: A total of 394 UKA patients were recruited from January 2022 to October 2024, following the inclusion and exclusion criteria. During hospitalization, each patient completed the Likert scale and BPI scale to record pain and functional changes pre- and postoperatively during the perioperative period. Based on the Likert scale responses, patients were divided into the “Improvement Group” and “Non-Improvement Group”. The MCID of the BPI scale in UKA patients during the perioperative period was analyzed and calculated using three methods: the anchor-based method, the distribution-based method, and ROC curve analysis. The ROC curve method determined the cut-off value for MCID based on the area under the curve (AUC) and the optimal Youden index.
Results: Based on the Likert scale responses, 154 patients were classified into the “Improvement Group” and 79 patients into the “Non-Improvement Group”. The MCID values of the BPI scale calculated by the three methods were as follows: for BPI-PI, the MCID values were 1.66 (anchor-based method), 1.02 (distribution-based method), and 1.63 (ROC curve analysis, AUC = 0.907, P < 0.001); for BPI-GII, the MCID values were 2.02 (anchor-based method), 1.04 (distribution-based method), and 1.90 (ROC curve analysis, AUC = 0.934, P < 0.001).
Conclusion: Given the potential discrepancies in MCID values calculated by different methods, the values derived from the anchor-based method and ROC curve analysis were closer to each other and demonstrated higher reliability compared to those obtained using the distribution-based method. Furthermore, this study provides valuable reference data for assessing perioperative pain in UKA patients, which can assist in optimizing pain management strategies and improving postoperative recovery experiences.
Keywords: minimal clinically important difference, brief pain inventory, unicompartmental knee arthroplasty, perioperative period