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Hospital Frailty Risk Score predicts adverse events in revision total hip and knee arthroplasty
INTRODUCTION: The Hospital Frailty Risk Score (HFRS) is a validated risk stratification model referring to the cumulative deficits model of frailty. The purpose of this study was to evaluate the HFRS as a predictor of 90-day readmission and complications after revision total hip (rTHA) and knee (rTK...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560670/ https://www.ncbi.nlm.nih.gov/pubmed/33860337 http://dx.doi.org/10.1007/s00264-021-05038-w |
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author | Meyer, Matthias Schwarz, Timo Renkawitz, Tobias Maderbacher, Günther Grifka, Joachim Weber, Markus |
author_facet | Meyer, Matthias Schwarz, Timo Renkawitz, Tobias Maderbacher, Günther Grifka, Joachim Weber, Markus |
author_sort | Meyer, Matthias |
collection | PubMed |
description | INTRODUCTION: The Hospital Frailty Risk Score (HFRS) is a validated risk stratification model referring to the cumulative deficits model of frailty. The purpose of this study was to evaluate the HFRS as a predictor of 90-day readmission and complications after revision total hip (rTHA) and knee (rTKA) arthroplasty. METHODS: In a retrospective analysis of 565 patients who had undergone rTHA or rTKA between 2011 and 2019, the HFRS was calculated for each patient. Rates of adverse events were compared between patients with low and intermediate or high frailty risk. Multivariable logistic regression models were used to assess the relationship between the HFRS and post-operative adverse events. RESULTS: Patients with intermediate or high frailty risk showed higher rates of readmission (30days: 23.8% vs. 9.9%, p = 0.006; 90days: 26.2% vs. 13.0%, p < 0.018), surgical complications (28.6% vs. 7.8%, p < 0.001), medical complications (11.9% vs. 1.0%, p < 0.001), other complications (28.6% vs. 2.3%, p < 0.001), Clavien-Dindo grade IV complications (14.3% vs. 4.8%, p = 0.009), and transfusion (33.3% vs. 6.1%, p < 0.001). Multivariable logistic regression analyses revealed a high HFRS as independent risk factor for surgical complications (OR = 3.45, 95% CI 1.45-8.18, p = 0.005), medical complications (OR = 7.29, 95% CI 1.72-30.97, p = 0.007), and other complications (OR = 14.15, 95% CI 5.16-38.77, p < 0.001). CONCLUSION: The HFRS predicts adverse events after rTHA and rTKA. As it derives from routinely collected data, the HFRS could be implemented automated in hospital information systems to facilitate identification of at-risk patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00264-021-05038-w. |
format | Online Article Text |
id | pubmed-8560670 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-85606702021-11-15 Hospital Frailty Risk Score predicts adverse events in revision total hip and knee arthroplasty Meyer, Matthias Schwarz, Timo Renkawitz, Tobias Maderbacher, Günther Grifka, Joachim Weber, Markus Int Orthop Original Paper INTRODUCTION: The Hospital Frailty Risk Score (HFRS) is a validated risk stratification model referring to the cumulative deficits model of frailty. The purpose of this study was to evaluate the HFRS as a predictor of 90-day readmission and complications after revision total hip (rTHA) and knee (rTKA) arthroplasty. METHODS: In a retrospective analysis of 565 patients who had undergone rTHA or rTKA between 2011 and 2019, the HFRS was calculated for each patient. Rates of adverse events were compared between patients with low and intermediate or high frailty risk. Multivariable logistic regression models were used to assess the relationship between the HFRS and post-operative adverse events. RESULTS: Patients with intermediate or high frailty risk showed higher rates of readmission (30days: 23.8% vs. 9.9%, p = 0.006; 90days: 26.2% vs. 13.0%, p < 0.018), surgical complications (28.6% vs. 7.8%, p < 0.001), medical complications (11.9% vs. 1.0%, p < 0.001), other complications (28.6% vs. 2.3%, p < 0.001), Clavien-Dindo grade IV complications (14.3% vs. 4.8%, p = 0.009), and transfusion (33.3% vs. 6.1%, p < 0.001). Multivariable logistic regression analyses revealed a high HFRS as independent risk factor for surgical complications (OR = 3.45, 95% CI 1.45-8.18, p = 0.005), medical complications (OR = 7.29, 95% CI 1.72-30.97, p = 0.007), and other complications (OR = 14.15, 95% CI 5.16-38.77, p < 0.001). CONCLUSION: The HFRS predicts adverse events after rTHA and rTKA. As it derives from routinely collected data, the HFRS could be implemented automated in hospital information systems to facilitate identification of at-risk patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00264-021-05038-w. Springer Berlin Heidelberg 2021-04-15 2021-11 /pmc/articles/PMC8560670/ /pubmed/33860337 http://dx.doi.org/10.1007/s00264-021-05038-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Meyer, Matthias Schwarz, Timo Renkawitz, Tobias Maderbacher, Günther Grifka, Joachim Weber, Markus Hospital Frailty Risk Score predicts adverse events in revision total hip and knee arthroplasty |
title | Hospital Frailty Risk Score predicts adverse events in revision total hip and knee arthroplasty |
title_full | Hospital Frailty Risk Score predicts adverse events in revision total hip and knee arthroplasty |
title_fullStr | Hospital Frailty Risk Score predicts adverse events in revision total hip and knee arthroplasty |
title_full_unstemmed | Hospital Frailty Risk Score predicts adverse events in revision total hip and knee arthroplasty |
title_short | Hospital Frailty Risk Score predicts adverse events in revision total hip and knee arthroplasty |
title_sort | hospital frailty risk score predicts adverse events in revision total hip and knee arthroplasty |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560670/ https://www.ncbi.nlm.nih.gov/pubmed/33860337 http://dx.doi.org/10.1007/s00264-021-05038-w |
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