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. 2024 Oct 1;106-B(10):1111-1117.
doi: 10.1302/0301-620X.106B10.BJJ-2023-1454.R1.

Predicting recurrence of instability after a primary traumatic anterior shoulder dislocation

Navnit S Makaram  1   2 , Hannes Becher  2 , Erlend Oag  1 , Nicholas R Heinz  1 , Conor J McCann  1 , Samuel P Mackenzie  1 , C M Robinson  1
Affiliations

Predicting recurrence of instability after a primary traumatic anterior shoulder dislocation

Navnit S Makaram et al. Bone Joint J. .

Abstract

Aims: The risk factors for recurrent instability (RI) following a primary traumatic anterior shoulder dislocation (PTASD) remain unclear. In this study, we aimed to determine the rate of RI in a large cohort of patients managed nonoperatively after PTASD and to develop a clinical prediction model.

Methods: A total of 1,293 patients with PTASD managed nonoperatively were identified from a trauma database (mean age 23.3 years (15 to 35); 14.3% female). We assessed the prevalence of RI, and used multivariate regression modelling to evaluate which demographic- and injury-related factors were independently predictive for its occurrence.

Results: The overall rate of RI at a mean follow-up of 34.4 months (SD 47.0) was 62.8% (n = 812), with 81.0% (n = 658) experiencing their first recurrence within two years of PTASD. The median time for recurrence was 9.8 months (IQR 3.9 to 19.4). Independent predictors increasing risk of RI included male sex (p < 0.001), younger age at PTASD (p < 0.001), participation in contact sport (p < 0.001), and the presence of a bony Bankart (BB) lesion (p = 0.028). Greater tuberosity fracture (GTF) was protective (p < 0.001). However, the discriminative ability of the resulting predictive model for two-year risk of RI was poor (area under the curve (AUC) 0.672). A subset analysis excluding identifiable radiological predictors of BB and GTF worsened the predictive ability (AUC 0.646).

Conclusion: This study clarifies the prevalence and risk factors for RI following PTASD in a large, unselected patient cohort. Although these data permitted the development of a predictive tool for RI, its discriminative ability was poor. Predicting RI remains challenging, and as-yet-undetermined risk factors may be important in determining the risk.

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Conflict of interest statement

The authors received no financial or material support for the research, authorship, and/or publication of this article.

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