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Predictors of mortality and length of stay after hip fractures – A multicenter retrospective analysis
BACKGROUND: The ubiquity of hip fractures pose a substantial burden on public health services worldwide. There is widespread geographical variation in mortality rates and length of stay after hip fractures. The current study investigates both the predictors of; (1) one-year mortality and (2) length...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990212/ https://www.ncbi.nlm.nih.gov/pubmed/35402156 http://dx.doi.org/10.1016/j.jcot.2022.101853 |
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author | Lari, Ali Haidar, Abdullah AlRumaidhi, Yasmen Awad, Mohammad AlMutairi, Owayed |
author_facet | Lari, Ali Haidar, Abdullah AlRumaidhi, Yasmen Awad, Mohammad AlMutairi, Owayed |
author_sort | Lari, Ali |
collection | PubMed |
description | BACKGROUND: The ubiquity of hip fractures pose a substantial burden on public health services worldwide. There is widespread geographical variation in mortality rates and length of stay after hip fractures. The current study investigates both the predictors of; (1) one-year mortality and (2) length of hospital stay (LOS) in adults aged 60 years or older. We aim to identify the risk factors and quantify the extent of influence they have on both outcomes. METHODOLOGY: A retrospective multi-center cohort study identified consecutively documented hip fractures between January 2013 and September 2018. A multivariate regression analysis of 603 patients was performed to determine independent factors affecting mortality and total LOS. RESULTS: The study sample included 603 patients with a total one-year mortality rate of 20.6% (n = 124). Predictors of mortality included; longer LOS, increasing age, inability to return to baseline mobility and comorbid burden. The mean overall LOS was 15.1 days, and 22.6 days in the mortality group. Predictors of increased LOS included; previous hip fractures, comorbid burden; diabetic, cerebrovascular disease and smokers. Return to baseline mobility status was associated with reduced LOS. CONCLUSION: Patients with a longer length of stay, inability to return to baseline mobility status, higher ASA scores, previous hip fractures and longer time to surgery had a higher mortality rate. Determinants of a longer LOS include; increased time to surgery, impeded postoperative mobility status, fixation rather than joint replacement and comorbid burden. A multifaceted approach to preoperative optimization and postoperative recovery is crucial in order to address all possible modifiable factors. |
format | Online Article Text |
id | pubmed-8990212 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-89902122023-04-01 Predictors of mortality and length of stay after hip fractures – A multicenter retrospective analysis Lari, Ali Haidar, Abdullah AlRumaidhi, Yasmen Awad, Mohammad AlMutairi, Owayed J Clin Orthop Trauma MSK Radiology BACKGROUND: The ubiquity of hip fractures pose a substantial burden on public health services worldwide. There is widespread geographical variation in mortality rates and length of stay after hip fractures. The current study investigates both the predictors of; (1) one-year mortality and (2) length of hospital stay (LOS) in adults aged 60 years or older. We aim to identify the risk factors and quantify the extent of influence they have on both outcomes. METHODOLOGY: A retrospective multi-center cohort study identified consecutively documented hip fractures between January 2013 and September 2018. A multivariate regression analysis of 603 patients was performed to determine independent factors affecting mortality and total LOS. RESULTS: The study sample included 603 patients with a total one-year mortality rate of 20.6% (n = 124). Predictors of mortality included; longer LOS, increasing age, inability to return to baseline mobility and comorbid burden. The mean overall LOS was 15.1 days, and 22.6 days in the mortality group. Predictors of increased LOS included; previous hip fractures, comorbid burden; diabetic, cerebrovascular disease and smokers. Return to baseline mobility status was associated with reduced LOS. CONCLUSION: Patients with a longer length of stay, inability to return to baseline mobility status, higher ASA scores, previous hip fractures and longer time to surgery had a higher mortality rate. Determinants of a longer LOS include; increased time to surgery, impeded postoperative mobility status, fixation rather than joint replacement and comorbid burden. A multifaceted approach to preoperative optimization and postoperative recovery is crucial in order to address all possible modifiable factors. Elsevier 2022-04-01 /pmc/articles/PMC8990212/ /pubmed/35402156 http://dx.doi.org/10.1016/j.jcot.2022.101853 Text en © 2022 The Authors https://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 | MSK Radiology Lari, Ali Haidar, Abdullah AlRumaidhi, Yasmen Awad, Mohammad AlMutairi, Owayed Predictors of mortality and length of stay after hip fractures – A multicenter retrospective analysis |
title | Predictors of mortality and length of stay after hip fractures – A multicenter retrospective analysis |
title_full | Predictors of mortality and length of stay after hip fractures – A multicenter retrospective analysis |
title_fullStr | Predictors of mortality and length of stay after hip fractures – A multicenter retrospective analysis |
title_full_unstemmed | Predictors of mortality and length of stay after hip fractures – A multicenter retrospective analysis |
title_short | Predictors of mortality and length of stay after hip fractures – A multicenter retrospective analysis |
title_sort | predictors of mortality and length of stay after hip fractures – a multicenter retrospective analysis |
topic | MSK Radiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990212/ https://www.ncbi.nlm.nih.gov/pubmed/35402156 http://dx.doi.org/10.1016/j.jcot.2022.101853 |
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