TY - JOUR
T1 - Male Sex, Western Ontario Shoulder Instability Index Score, and Sport as Predictors of Large Labral Tears of the Shoulder
T2 - A Multicenter Orthopaedic Outcomes Network (MOON) Shoulder Instability Cohort Study
AU - MOON Shoulder Group
AU - Cronin, Kevin J.
AU - Magnuson, Justin A.
AU - Wolf, Brian R.
AU - Hawk, Gregory S.
AU - Thompson, Katherine L.
AU - Jacobs, Cale A.
AU - Hettrich, Carolyn M.
AU - Bishop, Julie Y.
AU - Bollier, Matthew J.
AU - Baumgarten, Keith M.
AU - Bravman, Jonathan T.
AU - Brophy, Robert H.
AU - Cox, Charles L.
AU - Feeley, Brian T.
AU - Frank, Rachel M.
AU - Grant, John A.
AU - Jones, Grant L.
AU - Kuhn, John E.
AU - Ma, C. Benjamin
AU - Marx, Robert G.
AU - McCarty, Eric C.
AU - Miller, Bruce S.
AU - Neviaser, Andrew S.
AU - Seidl, Adam J.
AU - Smith, Matthew V.
AU - Wright, Rick W.
AU - Zhang, Alan L.
N1 - Funding Information:
Funding: Orthopaedic Research Education Foundation Grant 14-003
Funding Information:
The authors report the following potential conflicts of interest or sources of funding: K.M.B. reports other, Arthrex , Wright State Medical Center. J.T.B. reports other, Smith & Nephew, DJO, Shukla Medical. B.T.F. reports grants, NIH , JSES, Current Reviews in Musculoskeletal Medicine; other, Kaliber, Bioniks. J.A.G. reports grants and personal fees, JRF Ortho; grants, Arthrex , Aesculap Biologics; personal fees, Conmed. C.A.J. reports grants, Smith & Nephew, Medtronic; grants and personal fees, Flexion Therapeutics; nonfinancial support, SOBI. R.G.M. reports personal fees, Journal of Bone and Joint Surgery, Journal of Bone and Joint Surgery Evidence-Based Orthopedics, Springer, Demos Health, MEND Nutrition. E.C.M. reports other, Zimmer Biomet; grants, Smith & Nephew, Arthrex , Mitek, Ossur. A.S.N. reports personal fees, Conmed. A.J.S. reports personal fees, Medacta, DJO. M.V.S. reports grants, National Science Foundation , PCORI; personal fees, Elite Orthopedics ( Arthrex ), Flexion Therapeutics. B.R.W. reports personal fees, ConMed, UnitedHealth Care. A.L.Z. reports personal fees, Stryker , Depuy-Mitek. R.W.W. reports grants, National Institutes of Health , National Institute of Arthritis and Musculoskeletal and Skin Diseases; personal fees, Wolters Kluwer Lippincott, Williams & Wilkins, Responsive Arthroscopy. Full ICMJE author disclosure forms are available for this article online, as supplementary material .
Funding Information:
The authors report the following potential conflicts of interest or sources of funding: K.M.B. reports other, Arthrex, Wright State Medical Center. J.T.B. reports other, Smith & Nephew, DJO, Shukla Medical. B.T.F. reports grants, NIH, JSES, Current Reviews in Musculoskeletal Medicine; other, Kaliber, Bioniks. J.A.G. reports grants and personal fees, JRF Ortho; grants, Arthrex, Aesculap Biologics; personal fees, Conmed. C.A.J. reports grants, Smith & Nephew, Medtronic; grants and personal fees, Flexion Therapeutics; nonfinancial support, SOBI. R.G.M. reports personal fees, Journal of Bone and Joint Surgery, Journal of Bone and Joint Surgery Evidence-Based Orthopedics, Springer, Demos Health, MEND Nutrition. E.C.M. reports other, Zimmer Biomet; grants, Smith & Nephew, Arthrex, Mitek, Ossur. A.S.N. reports personal fees, Conmed. A.J.S. reports personal fees, Medacta, DJO. M.V.S. reports grants, National Science Foundation, PCORI; personal fees, Elite Orthopedics (Arthrex), Flexion Therapeutics. B.R.W. reports personal fees, ConMed, UnitedHealth Care. A.L.Z. reports personal fees, Stryker, Depuy-Mitek. R.W.W. reports grants, National Institutes of Health, National Institute of Arthritis and Musculoskeletal and Skin Diseases; personal fees, Wolters Kluwer Lippincott, Williams & Wilkins, Responsive Arthroscopy. Full ICMJE author disclosure forms are available for this article online, as supplementary material.
Publisher Copyright:
© 2021 Arthroscopy Association of North America
PY - 2021/6
Y1 - 2021/6
N2 - Purpose: To identify factors predictive of a large labral tear at the time of shoulder instability surgery. Methods: As part of the Multicenter Orthopaedic Outcomes Network (MOON) Shoulder Instability cohort, patients undergoing open or arthroscopic shoulder instability surgery for a labral tear were evaluated. Patients with >270° tears were defined as having large labral tears. To build a predictive logistic regression model for large tears, the Feasible Solutions Algorithm was used to add significant interaction effects. Results: After applying exclusion criteria, 1235 patients were available for analysis. There were 222 females (18.0%) and 1013 males (82.0%) in the cohort, with an average age of 24.7 years (range 12 to 66). The prevalence of large tears was 4.6% (n = 57), with the average tear size being 141.9°. Males accounted for significantly more of the large tears seen in the cohort (94.7%, P =.01). Racquet sports (P =.01), swimming (P =.02), softball (P =.05), skiing (P =.04), and golf (P =.04) were all associated with large labral tears, as was a higher Western Ontario Shoulder Instability Index (WOSI; P =.01). Age, race, history of dislocation, and injury during sport were not associated with having a larger tear. Using our predictive logistic regression model for large tears, patients with a larger body mass index (BMI) who played contact sports were also more likely to have large tears (P =.007). Conclusions: Multiple factors were identified as being associated with large labral tears at the time of surgery, including male sex, preoperative WOSI score, and participation in certain sports including racquet sports, softball, skiing, swimming, and golf. Level of Evidence: I, prognostic study.
AB - Purpose: To identify factors predictive of a large labral tear at the time of shoulder instability surgery. Methods: As part of the Multicenter Orthopaedic Outcomes Network (MOON) Shoulder Instability cohort, patients undergoing open or arthroscopic shoulder instability surgery for a labral tear were evaluated. Patients with >270° tears were defined as having large labral tears. To build a predictive logistic regression model for large tears, the Feasible Solutions Algorithm was used to add significant interaction effects. Results: After applying exclusion criteria, 1235 patients were available for analysis. There were 222 females (18.0%) and 1013 males (82.0%) in the cohort, with an average age of 24.7 years (range 12 to 66). The prevalence of large tears was 4.6% (n = 57), with the average tear size being 141.9°. Males accounted for significantly more of the large tears seen in the cohort (94.7%, P =.01). Racquet sports (P =.01), swimming (P =.02), softball (P =.05), skiing (P =.04), and golf (P =.04) were all associated with large labral tears, as was a higher Western Ontario Shoulder Instability Index (WOSI; P =.01). Age, race, history of dislocation, and injury during sport were not associated with having a larger tear. Using our predictive logistic regression model for large tears, patients with a larger body mass index (BMI) who played contact sports were also more likely to have large tears (P =.007). Conclusions: Multiple factors were identified as being associated with large labral tears at the time of surgery, including male sex, preoperative WOSI score, and participation in certain sports including racquet sports, softball, skiing, swimming, and golf. Level of Evidence: I, prognostic study.
UR - http://www.scopus.com/inward/record.url?scp=85101132638&partnerID=8YFLogxK
U2 - 10.1016/j.arthro.2021.01.007
DO - 10.1016/j.arthro.2021.01.007
M3 - Article
C2 - 33460709
AN - SCOPUS:85101132638
VL - 37
SP - 1740
EP - 1744
JO - Arthroscopy - Journal of Arthroscopic and Related Surgery
JF - Arthroscopy - Journal of Arthroscopic and Related Surgery
SN - 0749-8063
IS - 6
ER -