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The Bone & Joint Journal
Vol. 101-B, Issue 1 | Pages 63 - 67
1 Jan 2019
Erickson BJ Ling D Wong A Eno JJ Dines JS Dines DM Gulotta LV

Aims

The number of rotator cuff repairs that are undertaken is increasing. Reverse shoulder arthroplasty (RSA) is the procedure of choice for patients with rotator cuff arthropathy. We sought to determine whether patients who underwent rotator cuff repair and subsequent RSA had different outcomes compared with a matched control group who underwent RSA without a previous rotator cuff repair.

Patients and Methods

All patients with a history of rotator cuff repair who underwent RSA between 2000 and 2015 with a minimum follow-up of two years were eligible for inclusion as the study group. Outcomes, including the American Shoulder and Elbow Surgeons (ASES) scores, were compared with a matched control group of patients who underwent RSA without having previously undergone rotator cuff repair.


The Bone & Joint Journal
Vol. 99-B, Issue 9 | Pages 1190 - 1196
1 Sep 2017
Swarup I Henn CM Nguyen JT Dines DM Craig EV Warren RF Gulotta LV Henn III RF

Aims

Few studies have evaluated the relationship between patients’ pre-operative expectations and the outcome of orthopaedic procedures. Our aim was to determine the effect of expectations on the outcome after primary anatomical total shoulder arthroplasty (TSA). We hypothesised that patients with greater expectations would have better outcomes.

Patients and Methods

Patients undergoing primary anatomical TSA completed the Hospital for Special Surgery’s Shoulder Expectations Survey pre-operatively. The American Shoulder and Elbow Surgeons (ASES), Shoulder Activity Scale (SAS), Short-Form-36 (SF-36), and visual analogue scale (VAS) for pain, fatigue, and general health scores were also collected pre-operatively and two years post-operatively. Pearson correlations were used to assess the relationship between the number of expectations and the outcomes. Differences in outcomes between those with higher and lower levels of expectations for each expectation were assessed by independent samples t-test. Multivariable linear regression analysis was used to control for potential confounding factors.