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Reverse Total Shoulder Arthroplasty
Published on: July 5, 2011
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A preoperative decision algorithm for reverse shoulder arthroplasty in complex proximal humerus fractures in the
Yaiza Lopiz1, Andres Bartrina2, Alejandro Landero2
1Shoulder and Elbow Unit, Department of Traumatology and Orthopaedic Surgery, Clínico San Carlos Hospital, Madrid, Spain; Department of Surgery, Complutense University, Madrid, Spain.
Journal of Shoulder and Elbow Surgery
|December 15, 2025
Summary
Patient factors like cognitive status and social support significantly impact outcomes after reverse total shoulder arthroplasty for proximal humerus fractures in elderly individuals. A new algorithm may improve surgical decision-making for these patients.
Area of Science:
- Orthopedic Surgery
- Geriatric Medicine
- Biostatistics
Background:
- Reverse total shoulder arthroplasty (rTSA) is standard for complex proximal humerus fractures (PHFs) in elderly patients.
- Postoperative functional outcomes are inconsistent, and patient selection needs refinement.
Purpose of the Study:
- Identify preoperative predictors of poor functional outcomes after rTSA for PHFs in elderly patients.
- Develop and validate a decision algorithm to aid surgical decision-making.
Main Methods:
- Retrospective cohort study of 117 patients (≥75 years) undergoing rTSA for Neer 3- or 4-part PHFs.
- Collected preoperative data: Charlson Comorbidity Index (CCI), ASA score, cognitive status, dependence, social support.
- Assessed 12-month functional outcomes (Constant, ASES scores); defined poor outcome (Constant <45 or ASES <50).
- Used logistic regression to identify predictors; developed and validated a predictive algorithm.
Main Results:
- Severe cognitive impairment, partial dependence, lack of social support, and high CCI predicted poor outcomes in univariate analysis.
- ASA score was the only significant independent predictor in multivariate analysis (OR 0.36, p=0.012).
- The predictive model demonstrated good discrimination (AUC = 0.78).
Conclusions:
- Preoperative factors including ASA score, cognitive status, comorbidity burden, and functional independence significantly influence rTSA outcomes for PHFs in the elderly.
- The proposed decision algorithm can enhance surgical decision-making and personalize patient care.
