Outpatient total joint arthroplasty is becoming a more attractive option for hospitals, surgeons, and patients. In this study, the authors evaluated the safety of outpatient shoulder arthroplasty by comparing an outpatient cohort with an inpatient cohort. Ninety-day outcomes of consecutively performed elective shoulder arthroplasty cases from 2012 to 2016 were retrospectively reviewed. Patients were preoperatively assigned to outpatient or inpatient care. Primary outcomes were emergency department visits, readmissions, mortality, and surgical morbidity within 90 days of surgery. Two-tailed t tests were used to evaluate differences. Bivariate and multivariate logistic regressions were used to determine if the odds of emergency department visit, readmission, or complications were significantly different between the cohorts. There were 118 outpatient and 64 inpatient shoulder arthroplasty procedures. Mean age and American Society of Anesthesiologists score were lower in the outpatient group compared with the inpatient group-68.1 vs 72.4 years (P=.01) and 2.3 vs 2.6 (P<.01), respectively. In the multivariate logistic regression model including all arthroplasty cases, the odds of outpatient to inpatient readmission was significantly different (odds ratio, 0.181; P=.027). However, when only total shoulder arthroplasty cases were included, no difference was detected. No statistically significant difference was noted for number of emergency department visits, mortality, or surgical morbidity within 90 days of surgery in any of the models. There was 1 death in the ambulatory group at 28 days after surgery. On the basis of these findings, the authors believe that, for carefully selected patients, an outpatient shoulder arthroplasty protocol is safe when compared with inpatient protocols. [Orthopedics. 2018; 41(4):e563-e568.].
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http://dx.doi.org/10.3928/01477447-20180524-04 | DOI Listing |
J Clin Orthop Trauma
January 2025
Department of Orthopaedics, Sri Lakshmi Narayana Institute of Medical Sciences, Chennai, 605502, India.
Purpose: Accurate identification of radiographic landmarks is fundamental to characterizing glenohumeral relationships before and sequentially after shoulder arthroplasty, but manual annotation of these radiographs is laborious. We report on the use of artificial intelligence, specifically computer vision and deep learning models (DLMs), in determining the accuracy of DLM-identified and surgeon identified (SI) landmarks before and after anatomic shoulder arthroplasty.
Materials & Methods: 240 true anteroposterior radiographs were annotated using 11 standard osseous landmarks to train a deep learning model.
Cureus
December 2024
Trauma and Orthopaedics, Northampton General Hospital, Northampton, GBR.
Although mixing and matching components is a common, safe, and well-documented practice in hip revision surgery, our extensive search indicates that it has not been previously reported for shoulder arthroplasty. This case report presents the use of mixed implants in shoulder revision surgery to reduce morbidity and address flaws in the initial implant design. We describe a case of a patient with multiple epiphyseal dysplasia who was treated for osteoarthritis in his left shoulder with an anatomic shoulder replacement in 2014.
View Article and Find Full Text PDFJ Clin Orthop Trauma
January 2025
Medway Maritime Hospital, Windmill Road, Gillingham, Kent, ME7 5NY, United Kingdom.
J Shoulder Elbow Surg
January 2025
Department of Orthopaedic Surgery and Sports Medicine, University of Washington Medical Center, 1959 NE Pacific Street, Box 356500, Seattle, WA 98195-6500. Electronic address:
Background: Clinically important improvement after total shoulder arthroplasty is often assessed with shoulder-specific patient-reported outcome measures (PROMs) quantifying reduction in pain and restoration in function. It is unclear if commonly utilized threshold such as minimal clinically important difference (MCID), substantial clinical benefit (SCB), or patient acceptable symptom state (PASS), represent optimal improvement from the patients' perspective. The objectives of this study were to utilize the Simple Shoulder Test to: 1) compare commonly utilized thresholds for change in score and final score to thresholds optimized to patient satisfaction using receiver operative characteristic (ROC) curve analysis, and 2) determine the impact of using different thresholds on reporting of independent predictors of successful outcome in terms of patient satisfaction.
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