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Research on the frailty status and adverse outcomes of elderly patients with multimorbidity
BACKGROUND: As patients age, the frailty of those with multimorbidity increases, often resulting in adverse health outcomes. The current study investigated the frailty status and the factors which influence it in elderly patients with multimorbidity in Chinese hospitals. The relationship between the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258158/ https://www.ncbi.nlm.nih.gov/pubmed/35790904 http://dx.doi.org/10.1186/s12877-022-03194-1 |
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author | Lv, Jing Li, Rao Yuan, Li Yang, Xiao-ling Wang, Yi Ye, Zi-Wei Huang, Feng-Mei |
author_facet | Lv, Jing Li, Rao Yuan, Li Yang, Xiao-ling Wang, Yi Ye, Zi-Wei Huang, Feng-Mei |
author_sort | Lv, Jing |
collection | PubMed |
description | BACKGROUND: As patients age, the frailty of those with multimorbidity increases, often resulting in adverse health outcomes. The current study investigated the frailty status and the factors which influence it in elderly patients with multimorbidity in Chinese hospitals. The relationship between the frailty of patients with multimorbidity and adverse outcomes was explored. METHODS: The current prospective cohort study investigated inpatients in the internal medicine department of 5 tertiary hospitals in Sichuan Province, China. A total of 3836 elderly patients with multimorbidity were enrolled. Frailty was assessed using the FRAIL scale and adverse outcome events occurring during hospitalization were tracked. Descriptive statistics and logistic regressions were used for data analysis. RESULTS: The prevalence of frailty was 27.2% and of pre-frailty, 58.9%. Logistic regression analysis showed that increasing age, low BMI, low education level, lack of exercise, multiple types of medications and multiple numbers of chronic diseases were the main risk factors for frailty in elderly patients with multimorbidity (OR values: 1.020, 1.469, 2.350, 2.836, 1.156 and 1.308, respectively). The incidence of adverse outcomes was 13.9% among the cohort with the most common being deep vein thrombosis (42.4%), followed by pressure injury (38.8%). Regression analysis showed a significant correlation of frailty with adverse outcome (OR: 1.496; p < 0.01). CONCLUSIONS: The prevalence of frailty and pre-frailty in hospitalized elderly patients with multimorbidity was high. Increasing age, low BMI, low education level, lack of exercise, multiple types of medications and multiple numbers of chronic diseases were factors which influenced frailty and frailty was an important factor in the occurrence of adverse outcomes. The most common adverse outcome of elderly multimorbidity patients during hospitalization was deep vein thrombosis. |
format | Online Article Text |
id | pubmed-9258158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92581582022-07-07 Research on the frailty status and adverse outcomes of elderly patients with multimorbidity Lv, Jing Li, Rao Yuan, Li Yang, Xiao-ling Wang, Yi Ye, Zi-Wei Huang, Feng-Mei BMC Geriatr Research BACKGROUND: As patients age, the frailty of those with multimorbidity increases, often resulting in adverse health outcomes. The current study investigated the frailty status and the factors which influence it in elderly patients with multimorbidity in Chinese hospitals. The relationship between the frailty of patients with multimorbidity and adverse outcomes was explored. METHODS: The current prospective cohort study investigated inpatients in the internal medicine department of 5 tertiary hospitals in Sichuan Province, China. A total of 3836 elderly patients with multimorbidity were enrolled. Frailty was assessed using the FRAIL scale and adverse outcome events occurring during hospitalization were tracked. Descriptive statistics and logistic regressions were used for data analysis. RESULTS: The prevalence of frailty was 27.2% and of pre-frailty, 58.9%. Logistic regression analysis showed that increasing age, low BMI, low education level, lack of exercise, multiple types of medications and multiple numbers of chronic diseases were the main risk factors for frailty in elderly patients with multimorbidity (OR values: 1.020, 1.469, 2.350, 2.836, 1.156 and 1.308, respectively). The incidence of adverse outcomes was 13.9% among the cohort with the most common being deep vein thrombosis (42.4%), followed by pressure injury (38.8%). Regression analysis showed a significant correlation of frailty with adverse outcome (OR: 1.496; p < 0.01). CONCLUSIONS: The prevalence of frailty and pre-frailty in hospitalized elderly patients with multimorbidity was high. Increasing age, low BMI, low education level, lack of exercise, multiple types of medications and multiple numbers of chronic diseases were factors which influenced frailty and frailty was an important factor in the occurrence of adverse outcomes. The most common adverse outcome of elderly multimorbidity patients during hospitalization was deep vein thrombosis. BioMed Central 2022-07-06 /pmc/articles/PMC9258158/ /pubmed/35790904 http://dx.doi.org/10.1186/s12877-022-03194-1 Text en © The Author(s) 2022 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 | Research Lv, Jing Li, Rao Yuan, Li Yang, Xiao-ling Wang, Yi Ye, Zi-Wei Huang, Feng-Mei Research on the frailty status and adverse outcomes of elderly patients with multimorbidity |
title | Research on the frailty status and adverse outcomes of elderly patients with multimorbidity |
title_full | Research on the frailty status and adverse outcomes of elderly patients with multimorbidity |
title_fullStr | Research on the frailty status and adverse outcomes of elderly patients with multimorbidity |
title_full_unstemmed | Research on the frailty status and adverse outcomes of elderly patients with multimorbidity |
title_short | Research on the frailty status and adverse outcomes of elderly patients with multimorbidity |
title_sort | research on the frailty status and adverse outcomes of elderly patients with multimorbidity |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258158/ https://www.ncbi.nlm.nih.gov/pubmed/35790904 http://dx.doi.org/10.1186/s12877-022-03194-1 |
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