ORIGINAL RESEARCH article
Front. Med.
Sec. Rheumatology
This article is part of the Research TopicTherapeutic Strategies: Rehabilitation, Complementary and Alternative Therapies for Musculoskeletal DiseasesView all 10 articles
Analysis of influencing factors for postoperative prognosis of patients with knee osteoarthritis
Provisionally accepted
Zemiao Liu
Deheng Liu*- Qilu Hospital of Shandong University, Jinan, Shandong, China
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Objective To analyze the influencing factors of postoperative prognosis in patients with knee osteoarthritis (KOA) and to construct and validate a Nomogram prediction model. Methods A total of 260 patients who underwent KOA surgical treatment and were admitted between January 2021 and May 2023 were selected. The patients were divided into a training set (n=182) and a validation set (n=78) in a ratio of 7:3 by the complete randomization method. Relevant factors influencing postoperative prognosis were screened out through univariate analysis and multivariate logistic regression analysis. A Nomogram prediction model was constructed, and the model was validated and evaluated using the concordance index (C-index), calibration curve, and decision curve analysis (DCA). Results The results of the multivariate logistic regression analysis showed that VAS score, ROM, time to first ambulation after surgery, CRP, erythrocyte sedimentation rate, IL-6, and knee circumference were independent influencing factors affecting postoperative prognosis (all P<0.05). The receiver operating characteristic curves showed that in the training set and the validation set, the area under the curves of the Nomogram model for predicting poor prognosis after KOA surgery were0.938 (95% CI: 0.871-1.000) and 0.873 (95% CI: 0.806-0.941)respectively, and the sensitivities and specificities were 0.786, 0.925 and 0.718, 0.933 respectively. The constructed Nomogram prediction model had good discrimination. The calibration curve showed good consistency, and DCA analysis indicated that the model had clinical application value. Conclusion VAS score, ROM, time to first ambulation after surgery, CRP, erythrocyte sedimentation rate, IL-6, and knee circumference affect the postoperative prognosis of KOA. The constructed Nomogram prediction model has high accuracy and clinical application value.
Keywords: knee osteoarthritis, Postoperative prognosis, Prediction model, crp, Decision curve analysis
Received: 16 Aug 2025; Accepted: 02 Dec 2025.
Copyright: © 2025 Liu and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Deheng Liu
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