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Risk stratification in primary total joint arthroplasty: the current state of knowledge

BACKGROUND: As we transition to value-based care delivery models, risk stratification in total joint arthroplasty is more important than ever. The purpose of this study was to identify patients who would likely require higher level of care and may not be suitable for inclusion in bundled payment mod...

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Autores principales: Gronbeck, Christian, Cote, Mark P., Lieberman, Jay R., Halawi, Mohamad J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470321/
https://www.ncbi.nlm.nih.gov/pubmed/31020036
http://dx.doi.org/10.1016/j.artd.2018.10.002
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author Gronbeck, Christian
Cote, Mark P.
Lieberman, Jay R.
Halawi, Mohamad J.
author_facet Gronbeck, Christian
Cote, Mark P.
Lieberman, Jay R.
Halawi, Mohamad J.
author_sort Gronbeck, Christian
collection PubMed
description BACKGROUND: As we transition to value-based care delivery models, risk stratification in total joint arthroplasty is more important than ever. The purpose of this study was to identify patients who would likely require higher level of care and may not be suitable for inclusion in bundled payment models. METHODS: The American College of Surgeons National Surgical Quality Improvement Program database was queried for all patients who underwent primary total joint arthroplasty between 2011 and 2012. Five types of adverse events were assessed: medical complications, surgical complications, readmission, reoperation, and mortality. Univariate and multivariate logistic regression analyses were performed using a large number of demographic and morbidity variables. RESULTS: A total of 14,185 patients were identified. The 30-day medical complication, surgical complication, readmission, reoperation, and mortality rates were 2.0%, 3.2%, 4.0%, 1.5%, and 0.2%, respectively. Among the different variables assessed, only the American Society of Anesthesiologists (ASA) physical classification system was a significant risk factor for most outcomes assessed. Peripheral vascular disease was the most significant risk factor for medical complications and reoperation (odds ratio, 2.73 and 3.23, respectively). Bleeding disorders were the most significant risk factor for readmission and mortality (odds ratio, 2.03 and 5.86, respectively). CONCLUSIONS: ASA score is a more reliable risk stratification tool than Charlson Comorbidity Index, but it is not sufficient by itself. Patients with higher ASA scores combined with peripheral vascular disease and/or bleeding disorders are at especially high risk of developing postsurgical adverse events and may not be suitable for inclusion in bundled payment models. These data can be used to develop better risk stratification models that are critically needed.
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spelling pubmed-64703212019-04-24 Risk stratification in primary total joint arthroplasty: the current state of knowledge Gronbeck, Christian Cote, Mark P. Lieberman, Jay R. Halawi, Mohamad J. Arthroplast Today Original Research BACKGROUND: As we transition to value-based care delivery models, risk stratification in total joint arthroplasty is more important than ever. The purpose of this study was to identify patients who would likely require higher level of care and may not be suitable for inclusion in bundled payment models. METHODS: The American College of Surgeons National Surgical Quality Improvement Program database was queried for all patients who underwent primary total joint arthroplasty between 2011 and 2012. Five types of adverse events were assessed: medical complications, surgical complications, readmission, reoperation, and mortality. Univariate and multivariate logistic regression analyses were performed using a large number of demographic and morbidity variables. RESULTS: A total of 14,185 patients were identified. The 30-day medical complication, surgical complication, readmission, reoperation, and mortality rates were 2.0%, 3.2%, 4.0%, 1.5%, and 0.2%, respectively. Among the different variables assessed, only the American Society of Anesthesiologists (ASA) physical classification system was a significant risk factor for most outcomes assessed. Peripheral vascular disease was the most significant risk factor for medical complications and reoperation (odds ratio, 2.73 and 3.23, respectively). Bleeding disorders were the most significant risk factor for readmission and mortality (odds ratio, 2.03 and 5.86, respectively). CONCLUSIONS: ASA score is a more reliable risk stratification tool than Charlson Comorbidity Index, but it is not sufficient by itself. Patients with higher ASA scores combined with peripheral vascular disease and/or bleeding disorders are at especially high risk of developing postsurgical adverse events and may not be suitable for inclusion in bundled payment models. These data can be used to develop better risk stratification models that are critically needed. Elsevier 2019-02-05 /pmc/articles/PMC6470321/ /pubmed/31020036 http://dx.doi.org/10.1016/j.artd.2018.10.002 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research
Gronbeck, Christian
Cote, Mark P.
Lieberman, Jay R.
Halawi, Mohamad J.
Risk stratification in primary total joint arthroplasty: the current state of knowledge
title Risk stratification in primary total joint arthroplasty: the current state of knowledge
title_full Risk stratification in primary total joint arthroplasty: the current state of knowledge
title_fullStr Risk stratification in primary total joint arthroplasty: the current state of knowledge
title_full_unstemmed Risk stratification in primary total joint arthroplasty: the current state of knowledge
title_short Risk stratification in primary total joint arthroplasty: the current state of knowledge
title_sort risk stratification in primary total joint arthroplasty: the current state of knowledge
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470321/
https://www.ncbi.nlm.nih.gov/pubmed/31020036
http://dx.doi.org/10.1016/j.artd.2018.10.002
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