Development and Validation of a Nomogram for Evaluating the Incident Risk of Pain Catastrophizing Among Patients Who Have Severe Knee Osteoarthritis Awaiting Primary Total Knee Arthroplasty

被引：0
作者：
Qin, Mei-lan [1 ]
Dai, Xuan [2 ]
Yang, Chao [3 ]
Su, Wan-ying [3 ]
机构：
[1] Normal Univ, Hunan Prov Peoples Hosp, Logist Dept, Affiliated Hosp Hunan 1, Changsha, Hunan, Peoples R China
[2] Hunan Normal Univ, Hunan Prov Peoples Hosp, Nursing Dept, Affiliated Hosp 1, Changsha, Hunan, Peoples R China
[3] Hunan Normal Univ, Hunan Prov Peoples Hosp, Joint Surg & Sport Med Dept, Affiliated Hosp 1, 61 Jiefang West Rd, Changsha 410005, Hunan, Peoples R China
来源：
JOURNAL OF ARTHROPLASTY | 2025年 / 40卷 / 03期
关键词：
nomogram; pain catastrophizing; knee arthroplasty; osteoarthritis; predictive model; HOSPITAL ANXIETY; WESTERN-ONTARIO; INDEX WOMAC; DEPRESSION; SCALE; VALIDITY; FAMILY; MODEL;
D O I：
10.1016/j.arth.2024.09.011
中图分类号：
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学（修复外科学）];
学科分类号：
摘要：
Background: It is clinically important to anticipate the likelihood of pain catastrophizing in patients who undergo total knee arthroplasty (TKA). Persistent pain and diminished physical function following TKA are independently associated with preoperative pain catastrophizing. The purpose of this study was to develop and validate a nomogram model to predict pain catastrophizing in patients who have severe osteoarthritis undergoing primary TKA. Methods: Data were collected from patients who have severe osteoarthritis undergoing primary TKA at four tertiary general hospitals in Changsha, China, from September to December 2023. The study cohort was randomly divided into a training group and a validation group in the proportion of 70 to 30%. Least absolute shrinkage and selection operator regression analysis was utilized to select the optimal predictive variables for the model. A nomogram model was created using independent risk factors that were identified through multivariate regression analysis. Their performance was assessed using the concordance index and calibration curves, and their clinical utility was analyzed using decision curve analysis. Results: A total of 416 patients were included, 291 in the training group and 125 in the validation group. There were 115 (27.6%) who had pain catastrophizing. The predictors contained in the nomogram were pain intensity during activity, anxiety and depression, body mass index, social support, and household. The area under the curve of the nomogram was 0.976 (95% confidence interval = 0.96 to 0.99) for the training group and 0.917 (95% confidence interval = 0.88 to 0.96) for the validation group. The calibration curves confirmed the nomogram's accuracy, and decision curve analysis showed its strong predictive performance. Conclusions: The comprehensive nomogram generated in this study was a valid and easy-to-use tool for assessing the risk of pain catastrophizing in preoperative TKA patients, and helped healthcare professionals to screen the high-risk population. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
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页码：602 / 610
页数：9
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