• Dahui Shen, Shoukang Sun, Yang Song, Dongsheng Guo, and Yuefu Dong.
• Lianyungang Clinical College of Nanjing Medical University, No. 6 Zhenhua East Road, Haizhou District, Lianyungang City, Jiangsu Province, China.
• Arch Orthop Trauma Surg. 2024 Nov 1; 144 (11): 481948264819-4826.

BackgroundThis study aims to explore the relationship between Lower limb alignment parameters and the degree of Medial Meniscal Extrusion (MME) in patients with Knee Osteoarthritis (KOA), in hopes of providing new reference data for the prevention and treatment of KOA.MethodsA retrospective study design was employed, analyzing 623 KOA patients treated at our hospital from 2022 to 2023, with 307 patients' information collected according to inclusion and exclusion criteria. Patients were divided into mild and severe groups based on the degree of MME, and differences in Lower limb alignment parameters between the two groups were compared. Univariate analysis, Pearson correlation analysis, and multivariate stepwise regression analysis were used, along with Receiver operating characteristic(ROC) curve assessment to evaluate the predictive value of Lower limb alignment parameters on the degree of MME.ResultsUnivariate analysis showed significant correlations between Anatomic Mechanical Axis (AMA), Joint Line Convergence Angle (JLCA), mechanical Lateral Distal Femur Angle (mLDFA), Medial Proximal Tibia Angle (MPTA), and the degree of MME (P < 0.05). Pearson correlation analysis further confirmed the positive correlations between these parameters and the degree of MME. Multivariate stepwise regression analysis indicated that AMA, JLCA, and mLDFA are significant independent predictors of the severity of MME. ROC analysis suggested that the combination of AMA, JLCA, and mLDFA could better predict severe MME.ConclusionAMA, JLCA, and mLDFA are closely related to the degree of MME in KOA patients and can serve as important parameters for assessing the severity of MME, holding significant implications for the early prevention and treatment of KOA.© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

16 keywords...

hide…