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Impact of Falls Within 3 Months on the Short-Term Prognoses of Elderly Patients in Intensive Care Units: A Retrospective Cohort Study Using Stabilized Inverse Probability Treatment Weighting
BACKGROUND: Falls are a major public health problem in the older adults that can lead to poor clinical outcomes. There have been few reports on the short-term prognoses of older critically ill patients, and so we sought to determine the impact of falls on elderly patients in intensive care units (IC...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Dove
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733442/ https://www.ncbi.nlm.nih.gov/pubmed/36506850 http://dx.doi.org/10.2147/CIA.S387148 |
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author | Cheng, Hongtao Wang, Zichen Gu, Wan-Jie Yang, Xin Song, Simeng Huang, Tao Lyu, Jun |
author_facet | Cheng, Hongtao Wang, Zichen Gu, Wan-Jie Yang, Xin Song, Simeng Huang, Tao Lyu, Jun |
author_sort | Cheng, Hongtao |
collection | PubMed |
description | BACKGROUND: Falls are a major public health problem in the older adults that can lead to poor clinical outcomes. There have been few reports on the short-term prognoses of older critically ill patients, and so we sought to determine the impact of falls on elderly patients in intensive care units (ICUs). PATIENTS AND METHODS: This retrospective study of 4503 patients (aged 65 years or older) analyzed data in the Medical Information Mart for Intensive Care-III critical care database. Of those, 2459 (54.6%) older adults are males, and 2044 (45.4%) older adults are females. Based on information from the medical care record assessment forms, patients were classified into the following two groups based on whether they had a fall within the previous 3 months: falls (n=1142) and nonfalls (n=3361). The primary outcomes of this study were 30- and 90-day mortality. Associations between the results of the Kaplan-Meier (KM) survival analysis, Cox proportional-hazards regression models, and subgroup analysis and its outcomes were analyzed using stabilized inverse probability treatment weighting (IPTW). RESULTS: KM survival curves with stabilized IPTW indicated that 30- and 90-day survival rates were significantly lower in elderly critically ill patients with a history of falls within the previous 3 months than in those patients without a history of falls (all p<0.001). Multivariate Cox proportional-hazards regression analysis indicated that 30- and 90-day mortality rates were 1.35 times higher (95% confidence interval [CI]=1.16–1.57, p<0.001) and 1.36 times higher (95% CI=1.19–1.55, p<0.001), respectively, in elderly critically ill patients with a history of falls within the previous 3 months than in those patients without a history of falls. CONCLUSION: Experience of falls within the previous 3 months prior to ICU admission increased the risk of short-term mortality and affected the prognoses of elderly patients. Falls should therefore receive adequate attention from clinical healthcare providers and management decision-makers. |
format | Online Article Text |
id | pubmed-9733442 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-97334422022-12-10 Impact of Falls Within 3 Months on the Short-Term Prognoses of Elderly Patients in Intensive Care Units: A Retrospective Cohort Study Using Stabilized Inverse Probability Treatment Weighting Cheng, Hongtao Wang, Zichen Gu, Wan-Jie Yang, Xin Song, Simeng Huang, Tao Lyu, Jun Clin Interv Aging Original Research BACKGROUND: Falls are a major public health problem in the older adults that can lead to poor clinical outcomes. There have been few reports on the short-term prognoses of older critically ill patients, and so we sought to determine the impact of falls on elderly patients in intensive care units (ICUs). PATIENTS AND METHODS: This retrospective study of 4503 patients (aged 65 years or older) analyzed data in the Medical Information Mart for Intensive Care-III critical care database. Of those, 2459 (54.6%) older adults are males, and 2044 (45.4%) older adults are females. Based on information from the medical care record assessment forms, patients were classified into the following two groups based on whether they had a fall within the previous 3 months: falls (n=1142) and nonfalls (n=3361). The primary outcomes of this study were 30- and 90-day mortality. Associations between the results of the Kaplan-Meier (KM) survival analysis, Cox proportional-hazards regression models, and subgroup analysis and its outcomes were analyzed using stabilized inverse probability treatment weighting (IPTW). RESULTS: KM survival curves with stabilized IPTW indicated that 30- and 90-day survival rates were significantly lower in elderly critically ill patients with a history of falls within the previous 3 months than in those patients without a history of falls (all p<0.001). Multivariate Cox proportional-hazards regression analysis indicated that 30- and 90-day mortality rates were 1.35 times higher (95% confidence interval [CI]=1.16–1.57, p<0.001) and 1.36 times higher (95% CI=1.19–1.55, p<0.001), respectively, in elderly critically ill patients with a history of falls within the previous 3 months than in those patients without a history of falls. CONCLUSION: Experience of falls within the previous 3 months prior to ICU admission increased the risk of short-term mortality and affected the prognoses of elderly patients. Falls should therefore receive adequate attention from clinical healthcare providers and management decision-makers. Dove 2022-12-05 /pmc/articles/PMC9733442/ /pubmed/36506850 http://dx.doi.org/10.2147/CIA.S387148 Text en © 2022 Cheng et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Cheng, Hongtao Wang, Zichen Gu, Wan-Jie Yang, Xin Song, Simeng Huang, Tao Lyu, Jun Impact of Falls Within 3 Months on the Short-Term Prognoses of Elderly Patients in Intensive Care Units: A Retrospective Cohort Study Using Stabilized Inverse Probability Treatment Weighting |
title | Impact of Falls Within 3 Months on the Short-Term Prognoses of Elderly Patients in Intensive Care Units: A Retrospective Cohort Study Using Stabilized Inverse Probability Treatment Weighting |
title_full | Impact of Falls Within 3 Months on the Short-Term Prognoses of Elderly Patients in Intensive Care Units: A Retrospective Cohort Study Using Stabilized Inverse Probability Treatment Weighting |
title_fullStr | Impact of Falls Within 3 Months on the Short-Term Prognoses of Elderly Patients in Intensive Care Units: A Retrospective Cohort Study Using Stabilized Inverse Probability Treatment Weighting |
title_full_unstemmed | Impact of Falls Within 3 Months on the Short-Term Prognoses of Elderly Patients in Intensive Care Units: A Retrospective Cohort Study Using Stabilized Inverse Probability Treatment Weighting |
title_short | Impact of Falls Within 3 Months on the Short-Term Prognoses of Elderly Patients in Intensive Care Units: A Retrospective Cohort Study Using Stabilized Inverse Probability Treatment Weighting |
title_sort | impact of falls within 3 months on the short-term prognoses of elderly patients in intensive care units: a retrospective cohort study using stabilized inverse probability treatment weighting |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733442/ https://www.ncbi.nlm.nih.gov/pubmed/36506850 http://dx.doi.org/10.2147/CIA.S387148 |
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