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Perioperative predictors of prolonged length of hospital stay following total knee arthroplasty: a retrospective study from a single center in China
BACKGROUND: Decreasing the length of hospital stay is an ideal course of action to appropriately allocate medical resources. The aim of this retrospective study was to identify perioperative factors that may decrease the length of hospital stay (LOS). METHODS: In this study, we collected the data on...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6995082/ https://www.ncbi.nlm.nih.gov/pubmed/32005208 http://dx.doi.org/10.1186/s12891-020-3042-x |
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author | Song, Xiaoxiao Xia, Caiwei Li, Qiangqiang Yao, Chen Yao, Yao Chen, Dongyang Jiang, Qing |
author_facet | Song, Xiaoxiao Xia, Caiwei Li, Qiangqiang Yao, Chen Yao, Yao Chen, Dongyang Jiang, Qing |
author_sort | Song, Xiaoxiao |
collection | PubMed |
description | BACKGROUND: Decreasing the length of hospital stay is an ideal course of action to appropriately allocate medical resources. The aim of this retrospective study was to identify perioperative factors that may decrease the length of hospital stay (LOS). METHODS: In this study, we collected the data on 1112 patients who underwent primary total knee arthroplasty surgery (TKAs) at our institution from Jan 1, 2011 to Nov 31, 2017. Based on the published literature, 16 potential factors (12 preoperative variables, 1 intraoperative variable, and 3 postoperative variables) were investigated. The patients requiring a hospital stay longer than the mean LOS (8 days) were defined as patients with a prolonged LOS. The factors with a P value less than 0.1 in the univariate analysis were further analysed in a multivariate model. An ordinal regression was used to determine independent risk factors for a prolonged LOS. RESULTS: The mean LOS was 8.3 days (±4.3), with a range of 2 to 30 days. Sixteen variables were analysed by univariate analysis, and 11 of them had p < 0.1 and were included in the multivariable model. Finally, 9 factors were found to be associated with a prolonged LOS. Among the 9 variables, 2 were surgery-related factors (operative time and intraoperative blood loss), and 3 were patient-related factors (age, ASA classification and neurological comorbidities). CONCLUSION: In this study, we found that the clinical protocol, complications, the patient’s age, the ASA classification, neurological comorbidities, the operative time, the ward, intraoperative blood loss and the surgeon were all factors contributing to a prolonged LOS. In clinical practice, these factors provide important information for the surgeon and are useful for identifying patients with a high risk of a prolonged LOS. |
format | Online Article Text |
id | pubmed-6995082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69950822020-02-04 Perioperative predictors of prolonged length of hospital stay following total knee arthroplasty: a retrospective study from a single center in China Song, Xiaoxiao Xia, Caiwei Li, Qiangqiang Yao, Chen Yao, Yao Chen, Dongyang Jiang, Qing BMC Musculoskelet Disord Research Article BACKGROUND: Decreasing the length of hospital stay is an ideal course of action to appropriately allocate medical resources. The aim of this retrospective study was to identify perioperative factors that may decrease the length of hospital stay (LOS). METHODS: In this study, we collected the data on 1112 patients who underwent primary total knee arthroplasty surgery (TKAs) at our institution from Jan 1, 2011 to Nov 31, 2017. Based on the published literature, 16 potential factors (12 preoperative variables, 1 intraoperative variable, and 3 postoperative variables) were investigated. The patients requiring a hospital stay longer than the mean LOS (8 days) were defined as patients with a prolonged LOS. The factors with a P value less than 0.1 in the univariate analysis were further analysed in a multivariate model. An ordinal regression was used to determine independent risk factors for a prolonged LOS. RESULTS: The mean LOS was 8.3 days (±4.3), with a range of 2 to 30 days. Sixteen variables were analysed by univariate analysis, and 11 of them had p < 0.1 and were included in the multivariable model. Finally, 9 factors were found to be associated with a prolonged LOS. Among the 9 variables, 2 were surgery-related factors (operative time and intraoperative blood loss), and 3 were patient-related factors (age, ASA classification and neurological comorbidities). CONCLUSION: In this study, we found that the clinical protocol, complications, the patient’s age, the ASA classification, neurological comorbidities, the operative time, the ward, intraoperative blood loss and the surgeon were all factors contributing to a prolonged LOS. In clinical practice, these factors provide important information for the surgeon and are useful for identifying patients with a high risk of a prolonged LOS. BioMed Central 2020-01-31 /pmc/articles/PMC6995082/ /pubmed/32005208 http://dx.doi.org/10.1186/s12891-020-3042-x Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Song, Xiaoxiao Xia, Caiwei Li, Qiangqiang Yao, Chen Yao, Yao Chen, Dongyang Jiang, Qing Perioperative predictors of prolonged length of hospital stay following total knee arthroplasty: a retrospective study from a single center in China |
title | Perioperative predictors of prolonged length of hospital stay following total knee arthroplasty: a retrospective study from a single center in China |
title_full | Perioperative predictors of prolonged length of hospital stay following total knee arthroplasty: a retrospective study from a single center in China |
title_fullStr | Perioperative predictors of prolonged length of hospital stay following total knee arthroplasty: a retrospective study from a single center in China |
title_full_unstemmed | Perioperative predictors of prolonged length of hospital stay following total knee arthroplasty: a retrospective study from a single center in China |
title_short | Perioperative predictors of prolonged length of hospital stay following total knee arthroplasty: a retrospective study from a single center in China |
title_sort | perioperative predictors of prolonged length of hospital stay following total knee arthroplasty: a retrospective study from a single center in china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6995082/ https://www.ncbi.nlm.nih.gov/pubmed/32005208 http://dx.doi.org/10.1186/s12891-020-3042-x |
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