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Trauma-related falls in an urban geriatric population: predictive risk factors for poorer clinical outcomes

BACKGROUND: The aim of this study was to elucidate associations between polypharmacy, types of medications, and geriatric comorbidities to identify predictive risk factors for poorer clinical outcomes following trauma-related falls in the geriatric population. Nearly 80% of trauma-related hospital a...

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Autores principales: Farrell, Alexander, Castro, Taylor, Nalubola, Shreya, Lakhi, Nisha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887835/
https://www.ncbi.nlm.nih.gov/pubmed/36717881
http://dx.doi.org/10.1186/s40621-023-00418-9
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author Farrell, Alexander
Castro, Taylor
Nalubola, Shreya
Lakhi, Nisha
author_facet Farrell, Alexander
Castro, Taylor
Nalubola, Shreya
Lakhi, Nisha
author_sort Farrell, Alexander
collection PubMed
description BACKGROUND: The aim of this study was to elucidate associations between polypharmacy, types of medications, and geriatric comorbidities to identify predictive risk factors for poorer clinical outcomes following trauma-related falls in the geriatric population. Nearly 80% of trauma-related hospital admissions in the older adult population are secondary to falls, accounting for 3 million emergency department visits annually. Numerous studies have demonstrated associations between falls, polypharmacy, and other geriatric comorbidities, but studies outlining predictive risk factors for poor clinical outcomes are lacking. METHODS: A retrospective cohort study of 1087 patients ≥ 65 years old who presented to Level 1 Trauma Center after a trauma-related fall. Comorbidities, current medication, demographic information, and clinical outcomes were identified to ascertain predictive risk factors for poorer clinical outcomes. Variables were assessed for statistical significance on unadjusted analysis. Variables found to be significant were entered into a multivariable logistic regression model to test for adjusted associations, with p < 0.05 as statistically significant, and presented as adjusted odds ratios with 95% confidence intervals. RESULTS: Polypharmacy ≥ 4 medications (aOR 2.38 (1.10–5.15), p < .028) was an independent predictor of hospital readmission within 30 days. Chronic kidney disease, male gender, and Asian race had an increased association with ICU admission. History of malignancy (aOR 3.65 (1.62–8.19), p < .002) and chronic kidney disease (aOR 2.56 (1.11–5.96), p < .027) were independent predictors of 30-day mortality. CONCLUSIONS: Polypharmacy, chronic renal disease, malignancy history, male gender, and Asian race had an increased association of adverse clinical outcomes after falls in the geriatric population. Critical evaluation of patients with these risk factors may be needed to mitigate risk in this population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40621-023-00418-9.
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spelling pubmed-98878352023-02-01 Trauma-related falls in an urban geriatric population: predictive risk factors for poorer clinical outcomes Farrell, Alexander Castro, Taylor Nalubola, Shreya Lakhi, Nisha Inj Epidemiol Original Contribution BACKGROUND: The aim of this study was to elucidate associations between polypharmacy, types of medications, and geriatric comorbidities to identify predictive risk factors for poorer clinical outcomes following trauma-related falls in the geriatric population. Nearly 80% of trauma-related hospital admissions in the older adult population are secondary to falls, accounting for 3 million emergency department visits annually. Numerous studies have demonstrated associations between falls, polypharmacy, and other geriatric comorbidities, but studies outlining predictive risk factors for poor clinical outcomes are lacking. METHODS: A retrospective cohort study of 1087 patients ≥ 65 years old who presented to Level 1 Trauma Center after a trauma-related fall. Comorbidities, current medication, demographic information, and clinical outcomes were identified to ascertain predictive risk factors for poorer clinical outcomes. Variables were assessed for statistical significance on unadjusted analysis. Variables found to be significant were entered into a multivariable logistic regression model to test for adjusted associations, with p < 0.05 as statistically significant, and presented as adjusted odds ratios with 95% confidence intervals. RESULTS: Polypharmacy ≥ 4 medications (aOR 2.38 (1.10–5.15), p < .028) was an independent predictor of hospital readmission within 30 days. Chronic kidney disease, male gender, and Asian race had an increased association with ICU admission. History of malignancy (aOR 3.65 (1.62–8.19), p < .002) and chronic kidney disease (aOR 2.56 (1.11–5.96), p < .027) were independent predictors of 30-day mortality. CONCLUSIONS: Polypharmacy, chronic renal disease, malignancy history, male gender, and Asian race had an increased association of adverse clinical outcomes after falls in the geriatric population. Critical evaluation of patients with these risk factors may be needed to mitigate risk in this population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40621-023-00418-9. BioMed Central 2023-01-30 /pmc/articles/PMC9887835/ /pubmed/36717881 http://dx.doi.org/10.1186/s40621-023-00418-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Original Contribution
Farrell, Alexander
Castro, Taylor
Nalubola, Shreya
Lakhi, Nisha
Trauma-related falls in an urban geriatric population: predictive risk factors for poorer clinical outcomes
title Trauma-related falls in an urban geriatric population: predictive risk factors for poorer clinical outcomes
title_full Trauma-related falls in an urban geriatric population: predictive risk factors for poorer clinical outcomes
title_fullStr Trauma-related falls in an urban geriatric population: predictive risk factors for poorer clinical outcomes
title_full_unstemmed Trauma-related falls in an urban geriatric population: predictive risk factors for poorer clinical outcomes
title_short Trauma-related falls in an urban geriatric population: predictive risk factors for poorer clinical outcomes
title_sort trauma-related falls in an urban geriatric population: predictive risk factors for poorer clinical outcomes
topic Original Contribution
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887835/
https://www.ncbi.nlm.nih.gov/pubmed/36717881
http://dx.doi.org/10.1186/s40621-023-00418-9
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