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Predicting Patient Satisfaction With Maximal Outcome Improvement After Biceps Tenodesis
Orthopedics
|May 27, 2021
Summary
Maximal outcome improvement thresholds predict satisfaction after biceps tenodesis. Specific percentages on ASES, SANE, and CM questionnaires indicate success, with SLAP repair aiding outcomes but certain health conditions hindering them.
Area of Science:
- Orthopedic Surgery
- Patient Outcomes Research
Background:
- Biceps tenodesis is a common procedure for shoulder pain.
- Predicting patient satisfaction after surgery is crucial for evaluating success.
- Establishing clear outcome improvement thresholds can standardize success metrics.
Purpose of the Study:
- To determine the maximal outcome improvement (MOI) thresholds on the American Shoulder and Elbow Surgeons (ASES), Single Assessment Numeric Evaluation (SANE), and Constant-Murley (CM) questionnaires that predict patient satisfaction.
- To identify predictors of achieving these MOI thresholds after isolated biceps tenodesis.
Main Methods:
- Retrospective analysis of prospectively collected data from 123 patients undergoing isolated biceps tenodesis.
- Receiver operating characteristic (ROC) curve analysis to establish MOI thresholds for satisfaction.
- Stepwise multivariate logistical regression to identify predictors for achieving MOI thresholds.
Main Results:
- The MOI thresholds for satisfaction were determined as 43.1% for ASES, 62.1% for SANE, and 61.4% for CM questionnaires.
- Concomitant superior labrum anterior-posterior (SLAP) repair predicted higher MOI on ASES and SANE.
- Partial rotator cuff tear predicted higher MOI on CM.
- Workers' compensation status, diabetes, prior ipsilateral shoulder surgery, and hypertension were negative predictors for achieving MOI on SANE and CM.
Conclusions:
- Specific MOI percentages on the ASES, SANE, and CM questionnaires serve as reliable predictors of patient satisfaction following biceps tenodesis.
- Concomitant SLAP repair is associated with improved outcomes.
- Certain patient factors, including health conditions and compensation status, negatively impact surgical outcomes.

