Literature DB >> 26268847

Surgical Versus Nonsurgical Management of Rotator Cuff Tears: Predictors of Treatment Allocation.

Christopher Kweon1, Joel J Gagnier2, Christopher B Robbins1, Asheesh Bedi1, James E Carpenter1, Bruce S Miller3.   

Abstract

BACKGROUND: Rotator cuff tears are a common shoulder disorder resulting in significant disability to patients and financial burden on the health care system. While both surgical and nonsurgical management are accepted treatment options, there is a paucity of data to support a treatment algorithm for care providers. Defining variables to guide treatment allocation may be important for patient education and counseling, as well as to deliver the most efficient care plan at the time of presentation.
PURPOSE: To identify independent variables at the time of initial clinical presentation that are associated with preferred allocation to surgical versus nonsurgical management for patients with known full-thickness rotator cuff tears. STUDY
DESIGN: Case control study; Level of evidence, 3.
METHODS: A total of 196 consecutive adult patients with known full-thickness rotator cuff tears were enrolled into a prospective cohort study. Robust data were collected for each subject at baseline, including age, sex, body mass index (BMI), shoulder activity score, smoking status, size of cuff tear, duration of symptoms, functional comorbidity index, the American Shoulder and Elbow Surgeons (ASES) score, the Western Ontario Rotator Cuff index (WORC), and the Veterans Rand 12-Item Health Survey (VR-12). Logistic regression was performed to identify variables associated with treatment allocation, and the corresponding odds ratios were calculated.
RESULTS: Of the 196 patients enrolled, 112 underwent surgical intervention and 84 nonoperative management. With covariates controlled for, significant baseline patient characteristics predictive of eventual allocation to surgical treatment included younger age, lower BMI, and durations of symptoms less than 1 year. Increasing age, higher BMI, and duration of symptoms longer than 1 year were predictive of nonsurgical treatment. Factors that were not associated with treatment allocation included sex, tear size, functional comorbidity score, or any of the patient-derived outcome scores at presentation (ASES, WORC, VR-12, shoulder activity score).
CONCLUSION: Patient demographics at the time of initial presentation for a symptomatic rotator cuff tear are more predictive of treatment allocation to a surgical or nonoperative approach than the patient-derived outcome scores for activity level and shoulder disability. Further study is warranted to help define appropriate indications for treatment allocation in patients with rotator cuff tears.
© 2015 The Author(s).

Entities:  

Keywords:  predictors of surgery; rotator cuff; treatment allocation

Mesh:

Year:  2015        PMID: 26268847     DOI: 10.1177/0363546515593954

Source DB:  PubMed          Journal:  Am J Sports Med        ISSN: 0363-5465            Impact factor:   6.202


  10 in total

1.  Reliability of supraspinatus intramuscular fatty infiltration estimates on T1-weighted MRI in potential candidates for rotator cuff repair surgery: full-thickness tear versus high-grade partial-thickness tear.

Authors:  Derik L Davis; Mohit N Gilotra; Rodolfo Calderon; Andrew Roberts; S Ashfaq Hasan
Journal:  Skeletal Radiol       Date:  2021-05-06       Impact factor: 2.199

2.  Association of Patient Self-Reported Shoulder Scores to Quantitative and Semiquantitative MRI Measures of Rotator Cuff Intramuscular Fatty Infiltration: A Pilot Study.

Authors:  Derik L Davis; Jiachen Zhuo; Ranyah Almardawi; Michael E Mulligan; Charles S Resnik; Selwan B Abdullah; Hussain Al Khalifah; R Frank Henn; Mohit N Gilotra; S Ashfaq Hasan; Rao P Gullapalli
Journal:  AJR Am J Roentgenol       Date:  2019-09-11       Impact factor: 3.959

3.  EXERCISE THERAPY IN THE NON-OPERATIVE TREATMENT OF FULL-THICKNESS ROTATOR CUFF TEARS: A SYSTEMATIC REVIEW.

Authors:  Michael Jeanfavre; Sean Husted; Gretchen Leff
Journal:  Int J Sports Phys Ther       Date:  2018-06

4.  Evidence-Based Physical Examination for the Diagnosis of Subscapularis Tears: A Systematic Review.

Authors:  Andrew Dakkak; Michael K Krill; Matthew L Krill; Benedict Nwachukwu; Frank McCormick
Journal:  Sports Health       Date:  2020-08-21       Impact factor: 3.843

5.  Treatment for Rotator Cuff Tear Is Influenced by Demographics and Characteristics of the Area Where Patients Live.

Authors:  Cole G Chapman; Sarah Bauer Floyd; Charles A Thigpen; John M Tokish; Brian Chen; John M Brooks
Journal:  JB JS Open Access       Date:  2018-08-07

6.  Return to Play and Performance Perceptions of Baseball Players After Isolated SLAP Tear Repair.

Authors:  Lonnie Douglas; John Whitaker; John Nyland; Patrick Smith; Filippo Chillemi; Roger Ostrander; James Andrews
Journal:  Orthop J Sports Med       Date:  2019-03-07

7.  Preoperative Mental Health Scores and Achieving Patient Acceptable Symptom State Are Predictive of Return to Work After Arthroscopic Rotator Cuff Repair.

Authors:  Anirudh K Gowd; Gregory L Cvetanovich; Joseph N Liu; Benedict U Nwachukwu; Brandon C Cabarcas; Brian J Cole; Brian Forsythe; Anthony A Romeo; Nikhil N Verma
Journal:  Orthop J Sports Med       Date:  2019-10-29

8.  Relationship between the progression of posterosuperior rotator cuff tear size and shoulder abduction function: A cadaveric study via dynamic shoulder simulator.

Authors:  Liren Wang; Yuhao Kang; Haocheng Jin; Mingqi Wang; Yiyao Wei; Haihan Gao; Dingyi Shi; Suiran Yu; Guoming Xie; Jia Jiang; Jinzhong Zhao
Journal:  Front Bioeng Biotechnol       Date:  2022-09-27

9.  An Evaluation of the Rotator Cuff Repair Research Pipeline.

Authors:  Jake X Checketts; Jared Scott; Josh Gordon; Jaclyn Jones; Jarryd Horn; Michelle Farabough; Jake Whitener; Marshall Boose; Matt Vassar
Journal:  Orthop J Sports Med       Date:  2018-11-16

10.  Subacromial decompression surgery for rotator cuff disease.

Authors:  Teemu V Karjalainen; Nitin B Jain; Cristina M Page; Tuomas A Lähdeoja; Renea V Johnston; Paul Salamh; Lauri Kavaja; Clare L Ardern; Arnav Agarwal; Per O Vandvik; Rachelle Buchbinder
Journal:  Cochrane Database Syst Rev       Date:  2019-01-17
  10 in total

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