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Predicting Discharge Disposition After Shoulder Arthroplasty in the United States
- Source :
- The Journal of the American Academy of Orthopaedic Surgeons. 27(9)
- Publication Year :
- 2018
-
Abstract
- Introduction Postdischarge management for shoulder replacement continues to be performed on a case-by-case basis, with no uniform guidelines dictating management. The goal of this study was to develop a nomogram to preoperatively predict a patient's discharge disposition after elective shoulder arthroplasty. Methods Patients who underwent elective shoulder arthroplasty between 2012 and 2015 were identified in the National Surgical Quality Improvement Program database. A multivariable logistic regression model was used to identify risk factors for discharge to a postacute care facility, and these results were used to create a predictive nomogram. Results From 2012 to 2015, 8,363 procedures were identified. In our cohort, 962 patients (11.5%) were discharged to a postacute care facility, and 7,492 patients (88.5%) were discharged home. Preoperative functional status, followed by American Society of Anesthesiologists Class and age, had the strongest predictive value for discharge disposition after shoulder arthroplasty. Discussion Discharge disposition can be predicted using a nomogram with commonly identified preoperative and intraoperative variables. Level of evidence Level III, retrospective cohort design, observational study.
- Subjects :
- Adult
Male
medicine.medical_specialty
medicine.medical_treatment
Cohort Studies
03 medical and health sciences
0302 clinical medicine
Predictive Value of Tests
Risk Factors
medicine
Humans
Orthopedics and Sports Medicine
Aged
Retrospective Studies
Aged, 80 and over
030222 orthopedics
business.industry
Racial Groups
Age Factors
Retrospective cohort study
030229 sport sciences
Nomogram
Middle Aged
Arthroplasty
Patient Discharge
United States
Logistic Models
Arthroplasty, Replacement, Shoulder
Elective Surgical Procedures
Predictive value of tests
Cohort
Physical therapy
Surgery
Observational study
Female
business
Shoulder replacement
Cohort study
Subjects
Details
- ISSN :
- 19405480
- Volume :
- 27
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- The Journal of the American Academy of Orthopaedic Surgeons
- Accession number :
- edsair.doi.dedup.....7890c5d4bf8fc4008df019388a56c276