Thiago Bc Almeida, Luciano Pascarelli, Roberto R Bongiovanni, Marcel Js Tamaoki, Luciano Mr Rodrigues
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引用次数: 0
Abstract
Background: The aim of this study was to evaluate the results of the transfer of the lower trapezius with a graft from hamstring tendons in the treatment of irreparable rotator cuff tears . Level IV; Case Series; Treatment Study.
Methods: Ten patients diagnosed with irreparable tears of the supraspinatus and infraspinatus tendons, were evaluated retrospectively -preoperatively, 6 and 12 months postoperatively. They underwent transfer of the prolonged lower trapezius with an autologous graft of the knee flexor tendons.
Results: The Shoulder Subjective Value increased from 47 (preoperative) to 71 (1 year after surgery), American Shoulder and Elbow Surgeons Score increased from 26.63 to 75.24. Pain improved from 7.9 to 2.5 on the Visual Analogue Scale. The mean lateral rotation improved from 31° to 51°, flexion from 84° to 122°, and abduction from 76° to 101°. These results have not changed significantly between 6 and 12 months.
Discussion: The transfer of the lower trapezius with autologous grafts from the hamstring tendons showed good results in patients under 65 years of age with irreparable rotator cuff tears . Longer follow-up and a greater number of cases are necessary to confirm the efficacy of the transfer.
期刊介绍:
During the last 30 years Time Series Analysis has become one of the most important and widely used branches of Mathematical Statistics. Its fields of application range from neurophysiology to astrophysics and it covers such well-known areas as economic forecasting, study of biological data, control systems, signal processing and communications and vibrations engineering.
The Journal of Time Series Analysis started in 1980, has since become the leading journal in its field, publishing papers on both fundamental theory and applications, as well as review papers dealing with recent advances in major areas of the subject and short communications on theoretical developments. The editorial board consists of many of the world''s leading experts in Time Series Analysis.