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Factors Affecting Return to Baseline Function at 6 months Following Anterior Shoulder Instability. Surgery: A Multi-Center Orthopaedic Outcomes Network ...
AOSSM 2016 Annual Meeting

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Factors Affecting Return to Baseline Function at 6 months Following Anterior Shoulder Instability Surgery: A Multi-Center Orthopaedic Outcomes Network (MOON) Shoulder Group Cohort Study Carolyn M. Hettrich, MD, MPH1, Joseph Buckwalter, MD, PHD1, Brian R. Wolf, MD, MS2, Matthew Bollier, MD3, Shoulder Group MOON, MD4, Natalie Glass, PhD1 1University of Iowa, Iowa City, IA, USA, 2UI Sports Medicine, Iowa City, IA, USA, 3University of Iowa Orthopaedic Surgery, Sports Medicine, and Rehab, Iowa City, IA, USA, 4Vanderbilt University, Nashville, TN, USA.

Objectives: Pre-operative and surgical factors related to early return to baseline function after anterior shoulder instability surgery are not clear. This study was designed to determine the pre-operative and operative factors affecting return to baseline function at 6 months following anterior shoulder instability surgery. Identifying these factors will help surgeons establish expectations for functional return post-operatively. Methods: The Multicenter Orthopaedic Outcomes Network (MOON) shoulder group enrolled patients undergoing surgery for shoulder instability from 16 sites throughout the United States. Initial demographic data and validated, patient-oriented outcomes questionnaires were collected along with the physicians documented initial physical exam, treatment, surgical findings and surgical techniques used at the time of surgery. At the 6-month follow up visit, range of motion (ROM) and strength measurement of the operative shoulder were collected and compared to pre-operative measurement. Return to baseline was defined as return to within -10° ROM and full strength at the 6 month physical exam. Continuous and categorical data were analyzed using student t-tests and chi-square tests, respectively. The Kruskal-Wallis/Wilcoxin tests were used to compare groups that were not normally distributed. Factors reaching significance in a univariate analysis were then applied in a multivariable model. Significance was set a p