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Analysis of 90-Day Readmissions After Total Shoulder Arthroplasty

BACKGROUND: The number of total shoulder arthroplasty (TSA) procedures performed annually is increasing as a result of an aging population and an increased access to subspecialty-trained upper extremity arthroplasty surgeons. An up-to-date analysis of the incidence of, risk factors for, and reasons...

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Autores principales: Chung, Andrew S., Makovicka, Justin L., Hydrick, Thomas, Scott, Kelly L., Arvind, Varun, Hattrup, Steven J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6759745/
https://www.ncbi.nlm.nih.gov/pubmed/31579681
http://dx.doi.org/10.1177/2325967119868964
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author Chung, Andrew S.
Makovicka, Justin L.
Hydrick, Thomas
Scott, Kelly L.
Arvind, Varun
Hattrup, Steven J.
author_facet Chung, Andrew S.
Makovicka, Justin L.
Hydrick, Thomas
Scott, Kelly L.
Arvind, Varun
Hattrup, Steven J.
author_sort Chung, Andrew S.
collection PubMed
description BACKGROUND: The number of total shoulder arthroplasty (TSA) procedures performed annually is increasing as a result of an aging population and an increased access to subspecialty-trained upper extremity arthroplasty surgeons. An up-to-date analysis of the incidence of, risk factors for, and reasons for 90-day readmissions in primary anatomic TSA has yet to be performed. PURPOSE: To characterize 90-day readmissions on a national level. An understanding of these data will help to predict resource utilization and expenses in shoulder arthroplasty. STUDY DESIGN: Case-control study; Level of evidence, 3. METHODS: All adult patients undergoing elective primary TSA in 2014 who were included in the National Readmission Database were included in the analysis. Two cohorts were created according to 90-day readmission status. Multivariable analysis was then performed to determine predictors of 90-day readmissions. Reasons for 30-, 60-, and 90-day readmissions were identified, and total hospital resource utilization was calculated. RESULTS: An estimated 26,023 patients were identified. The 30-, 60-, and 90-day rates of readmissions were 0.6%, 1.2%, and 1.7%, respectively. There was no difference in comorbidity burden between the cohorts. Medicare payer status (odds ratio [OR], 1.63; 95% CI, 1.00-2.65; P = .05), transfer to a skilled nurse facility (OR, 1.50; 95% CI, 1.05-2.14; P = .02), and chronic obstructive pulmonary disease (OR, 1.32; 95% CI, 1.04-1.66; P = .02) were identified as predictors of 90-day readmission. Female sex decreased odds of 90-day readmission (OR, 0.72; 95% CI, 0.59-0.87; P = .001). Ninety-day readmissions were associated with significant cost increases (P < .001). The most common identifiable reason for related readmissions was a hardware-related complication at all time points. CONCLUSION: While uncommon, 90-day readmissions after primary TSA are associated with significant patient morbidity and ultimately substantial hospital costs. Truncating readmission analysis at a 30-day period will miss most arthroplasty-related hospital readmissions.
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spelling pubmed-67597452019-10-02 Analysis of 90-Day Readmissions After Total Shoulder Arthroplasty Chung, Andrew S. Makovicka, Justin L. Hydrick, Thomas Scott, Kelly L. Arvind, Varun Hattrup, Steven J. Orthop J Sports Med Article BACKGROUND: The number of total shoulder arthroplasty (TSA) procedures performed annually is increasing as a result of an aging population and an increased access to subspecialty-trained upper extremity arthroplasty surgeons. An up-to-date analysis of the incidence of, risk factors for, and reasons for 90-day readmissions in primary anatomic TSA has yet to be performed. PURPOSE: To characterize 90-day readmissions on a national level. An understanding of these data will help to predict resource utilization and expenses in shoulder arthroplasty. STUDY DESIGN: Case-control study; Level of evidence, 3. METHODS: All adult patients undergoing elective primary TSA in 2014 who were included in the National Readmission Database were included in the analysis. Two cohorts were created according to 90-day readmission status. Multivariable analysis was then performed to determine predictors of 90-day readmissions. Reasons for 30-, 60-, and 90-day readmissions were identified, and total hospital resource utilization was calculated. RESULTS: An estimated 26,023 patients were identified. The 30-, 60-, and 90-day rates of readmissions were 0.6%, 1.2%, and 1.7%, respectively. There was no difference in comorbidity burden between the cohorts. Medicare payer status (odds ratio [OR], 1.63; 95% CI, 1.00-2.65; P = .05), transfer to a skilled nurse facility (OR, 1.50; 95% CI, 1.05-2.14; P = .02), and chronic obstructive pulmonary disease (OR, 1.32; 95% CI, 1.04-1.66; P = .02) were identified as predictors of 90-day readmission. Female sex decreased odds of 90-day readmission (OR, 0.72; 95% CI, 0.59-0.87; P = .001). Ninety-day readmissions were associated with significant cost increases (P < .001). The most common identifiable reason for related readmissions was a hardware-related complication at all time points. CONCLUSION: While uncommon, 90-day readmissions after primary TSA are associated with significant patient morbidity and ultimately substantial hospital costs. Truncating readmission analysis at a 30-day period will miss most arthroplasty-related hospital readmissions. SAGE Publications 2019-09-24 /pmc/articles/PMC6759745/ /pubmed/31579681 http://dx.doi.org/10.1177/2325967119868964 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc-nd/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (http://www.creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Article
Chung, Andrew S.
Makovicka, Justin L.
Hydrick, Thomas
Scott, Kelly L.
Arvind, Varun
Hattrup, Steven J.
Analysis of 90-Day Readmissions After Total Shoulder Arthroplasty
title Analysis of 90-Day Readmissions After Total Shoulder Arthroplasty
title_full Analysis of 90-Day Readmissions After Total Shoulder Arthroplasty
title_fullStr Analysis of 90-Day Readmissions After Total Shoulder Arthroplasty
title_full_unstemmed Analysis of 90-Day Readmissions After Total Shoulder Arthroplasty
title_short Analysis of 90-Day Readmissions After Total Shoulder Arthroplasty
title_sort analysis of 90-day readmissions after total shoulder arthroplasty
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6759745/
https://www.ncbi.nlm.nih.gov/pubmed/31579681
http://dx.doi.org/10.1177/2325967119868964
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