Threshold scores for treatment success after reverse shoulder arthroplasty using Oxford Shoulder, Constant-Murley and University of California Los Angeles scores

Aim: To determine the threshold scores for the Oxford Shoulder Score (OSS), Constant-Murley Score (CMS) and University of California, Los Angeles (UCLA) shoulder score that predict treatment success after reverse shoulder arthroplasty. Methods: Prospective study involving patients who under RSA betw...

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Bibliographic Details
Main Authors: Najim Yusof, Sheng Xu, Lie Tijauw Tjoen Denny
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Journal of Orthopaedic Reports
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Online Access:http://www.sciencedirect.com/science/article/pii/S2773157X2500075X
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Summary:Aim: To determine the threshold scores for the Oxford Shoulder Score (OSS), Constant-Murley Score (CMS) and University of California, Los Angeles (UCLA) shoulder score that predict treatment success after reverse shoulder arthroplasty. Methods: Prospective study involving patients who under RSA between January 2011 to February 2020. Evaluation of patients took place both pre-operatively and at 3, 6, and 12 months post-operatively for functional outcome, pain, satisfaction with surgery and fulfillment of expectations. Treatment was considered to be successful if 3 criteria were met: patient satisfaction with surgery, reduction in pain (defined by a decrease in VAS score) and meeting patient's expectation for surgery. Threshold scores were derived by Receiver Operating Characteristic (ROC) analyses and the Youden index. Results: Data involving 131 patients was analysed for this study. ROC analysis showed that all 3 PROMs (OSS, CMS and UCLA shoulder score) have good prediction of treatment success at 12 months follow up (AUC >0.7). An OSS score of 18, UCLA of 26, and CMS of 51 at 12 month showed good prediction of a patient having undergone successful RSA. Conclusion: The OSS, CMS and UCLA shoulder score have good predictive value for treatment success after reverse shoulder arthroplasty.
ISSN:2773-157X