Factors affecting the clinical outcomes including patient satisfaction after Oxford unicompartmental knee arthroplasty: a retrospective study

Author:

Chen Yang,Fang Xinyu,Huang Zida,Li Wenbo,Zhang Wenming

Abstract

Abstract Background Oxford unicompartmental knee arthroplasty (UKA) is widely used for treating patients with unicompartmental knee diseases. However, the factors affecting the outcomes of and patients’ satisfaction with Oxford UKA remain controversial. The aims of this study were to evaluate the clinical and radiological outcomes, including patient satisfaction, after Oxford UKA and identify the influencing factors related to patients’ satisfaction. Methods We retrospectively analyzed the data of patients who underwent UKA in our medical institution from 2013 to 2018. Demographic information, clinical scores, patient satisfaction and imaging findings were recorded. The patients were followed up for at least 1 year. Multivariate Logistic regression analysis was performed to identify influencing factors related to clinical outcomes including patient satisfaction. Results A total of 80 patients (involving 87 knees) were included. The Numerical Rating Scale (NRS) scores and Knee Society Scores (KSS) were significantly improved after operation as compared to preoperative scores (6.0 vs. 1.0, P < 0.001; 113.0 ± 27.2 vs. 167.2 ± 23.9, P < 0.001), and the varus deformity was corrected (181.0 vs. 176.0, P < 0.05). Six patients (7.5%) developed postoperative complications, and no case suffered from prosthesis loosening. The time since operation (TSO) and angle E were found to be predictors of KSS improvement (P = 0.009; P = 0.024). The postoperative KSS and angle E were found to be predictors of patient satisfaction (P = 0.001; P = 0.032). Conclusion Oxford UKA can improve the NRS score and KSS and correct varus deformities. A shorter TSO and smaller angle E are indicators of a greater KSS improvement. A higher KSS and smaller angle E are indicative of higher patient satisfaction.

Funder

Natural Science Foundation of Fujian Province

Publisher

Springer Science and Business Media LLC

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