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Predictive Modeling to Determine Functional Outcomes After Arthroscopic Rotator Cuff Repair
Salvatore Frangiamore1,2, Grant J Dornan2, Marilee P Horan2
1The Steadman Clinic, Vail, Colorado, USA.
The American Journal of Sports Medicine
|May 15, 2020
Summary
This study identified key factors influencing arthroscopic rotator cuff repair (ARCR) outcomes. Female sex, workers' compensation claims, and prior ARCR predict poorer results, aiding in patient selection and education.
Area of Science:
- Orthopaedic Surgery
- Biomedical Engineering
- Clinical Outcomes Research
Background:
- Arthroscopic rotator cuff repair (ARCR) is a common orthopaedic procedure with variable patient-reported outcomes.
- Identifying preoperative factors influencing ARCR success is crucial for improving patient care.
Purpose of the Study:
- To pinpoint preoperative factors affecting outcomes after ARCR.
- To develop prognostic tools for predicting functional results in ARCR patients.
Main Methods:
- A cohort study analyzed 552 patients undergoing ARCR for full-thickness rotator cuff tears.
- Twelve preoperative variables were assessed, including age, sex, workers' compensation (WC) status, and tear characteristics.
- Patient-reported outcomes (ASES, SF-12 PCS, QuickDASH, satisfaction) were modeled using logistic regression.
Main Results:
- Significant improvements in ASES scores were observed postoperatively (P < .001).
- Female sex, WC claims, and previous ARCR were independently associated with poorer outcomes across multiple patient-reported measures.
- Women had higher reoperation rates (5.8% vs 1.6%).
Conclusions:
- ARCR can achieve excellent outcomes with careful patient selection and modern techniques.
- Preoperative factors like female sex, WC claims, and prior ARCR negatively impact outcomes.
- Prognostic nomograms were created to assist in clinical decision-making and patient counseling.
