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The relationship between Comprehensive Geriatric Assessment parameters and depression in elderly patients

BACKGROUND: Depression is common and serious among elderly patients. The treatment of elderly depression is often delayed owing to insufficient diagnosis, which eventually leads to adverse consequences. AIMS: To explore the association between the parameters of the Comprehensive Geriatric Assessment...

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Autores principales: Ju, Yanmin, Liu, Ting, Zhang, Kexin, Lin, Xiaoye, Zheng, Enlai, Leng, Jiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360413/
https://www.ncbi.nlm.nih.gov/pubmed/35959294
http://dx.doi.org/10.3389/fnagi.2022.936024
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author Ju, Yanmin
Liu, Ting
Zhang, Kexin
Lin, Xiaoye
Zheng, Enlai
Leng, Jiyan
author_facet Ju, Yanmin
Liu, Ting
Zhang, Kexin
Lin, Xiaoye
Zheng, Enlai
Leng, Jiyan
author_sort Ju, Yanmin
collection PubMed
description BACKGROUND: Depression is common and serious among elderly patients. The treatment of elderly depression is often delayed owing to insufficient diagnosis, which eventually leads to adverse consequences. AIMS: To explore the association between the parameters of the Comprehensive Geriatric Assessment and depression in elderly patients. METHODS: A cross-sectional study of 211 outpatients and inpatients aged ≥ 65 years from the Comprehensive Geriatric Assessment database was conducted. A Comprehensive Geriatric Assessment inventory was prepared by compiling and screening general characteristics, chronic diseases (cardiovascular disease, diabetes, and peptic ulcer disease), nutritional status, daily living ability, anthropometric measurements (body mass index (BMI), upper arm circumference, and calf circumference), and blood biochemical indicators (hemoglobin, albumin, prealbumin, triglycerides, and low-density lipoprotein cholesterol). The Geriatric Depression Scale was also conducted for each elderly patient to screen for depression. A multivariable logistic regression analysis was used to determine the association between the parameters of the Comprehensive Geriatric Assessment and geriatric depression. RESULTS: There were 63 patients in the depression group with a median age of 84.00 years, and 148 patients in the non-depression group with a median age of 78.50 years. After controlling for confounders, the risk of depression in elderly patients with cardiovascular diseases was 6.011 times higher than that in those without cardiovascular diseases (p < 0.001); and the risk of depression in elderly patients with peptic ulcer diseases was 4.352 times higher than that in those without peptic ulcer diseases (p < 0.001); the risk of depression in elderly patients decreased by 22.6% for each 1-point increase in the Mini Nutritional Assessment (p < 0.001). The risk of depression in elderly patients decreased by 19.9% for each 1-point increase in calf circumference (p = 0.002), and by 13.0% for each 1-point increase in albumin (p = 0.014). CONCLUSION: Our findings suggest that Comprehensive Geriatric Assessment parameters, such as cardiovascular disease, peptic ulcer disease, Mini Nutritional Assessment score, calf circumference, and albumin, were associated with depression. The Comprehensive Geriatric Assessment can assist in the early identification of depression in the elderly population.
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spelling pubmed-93604132022-08-10 The relationship between Comprehensive Geriatric Assessment parameters and depression in elderly patients Ju, Yanmin Liu, Ting Zhang, Kexin Lin, Xiaoye Zheng, Enlai Leng, Jiyan Front Aging Neurosci Neuroscience BACKGROUND: Depression is common and serious among elderly patients. The treatment of elderly depression is often delayed owing to insufficient diagnosis, which eventually leads to adverse consequences. AIMS: To explore the association between the parameters of the Comprehensive Geriatric Assessment and depression in elderly patients. METHODS: A cross-sectional study of 211 outpatients and inpatients aged ≥ 65 years from the Comprehensive Geriatric Assessment database was conducted. A Comprehensive Geriatric Assessment inventory was prepared by compiling and screening general characteristics, chronic diseases (cardiovascular disease, diabetes, and peptic ulcer disease), nutritional status, daily living ability, anthropometric measurements (body mass index (BMI), upper arm circumference, and calf circumference), and blood biochemical indicators (hemoglobin, albumin, prealbumin, triglycerides, and low-density lipoprotein cholesterol). The Geriatric Depression Scale was also conducted for each elderly patient to screen for depression. A multivariable logistic regression analysis was used to determine the association between the parameters of the Comprehensive Geriatric Assessment and geriatric depression. RESULTS: There were 63 patients in the depression group with a median age of 84.00 years, and 148 patients in the non-depression group with a median age of 78.50 years. After controlling for confounders, the risk of depression in elderly patients with cardiovascular diseases was 6.011 times higher than that in those without cardiovascular diseases (p < 0.001); and the risk of depression in elderly patients with peptic ulcer diseases was 4.352 times higher than that in those without peptic ulcer diseases (p < 0.001); the risk of depression in elderly patients decreased by 22.6% for each 1-point increase in the Mini Nutritional Assessment (p < 0.001). The risk of depression in elderly patients decreased by 19.9% for each 1-point increase in calf circumference (p = 0.002), and by 13.0% for each 1-point increase in albumin (p = 0.014). CONCLUSION: Our findings suggest that Comprehensive Geriatric Assessment parameters, such as cardiovascular disease, peptic ulcer disease, Mini Nutritional Assessment score, calf circumference, and albumin, were associated with depression. The Comprehensive Geriatric Assessment can assist in the early identification of depression in the elderly population. Frontiers Media S.A. 2022-07-26 /pmc/articles/PMC9360413/ /pubmed/35959294 http://dx.doi.org/10.3389/fnagi.2022.936024 Text en Copyright © 2022 Ju, Liu, Zhang, Lin, Zheng and Leng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Ju, Yanmin
Liu, Ting
Zhang, Kexin
Lin, Xiaoye
Zheng, Enlai
Leng, Jiyan
The relationship between Comprehensive Geriatric Assessment parameters and depression in elderly patients
title The relationship between Comprehensive Geriatric Assessment parameters and depression in elderly patients
title_full The relationship between Comprehensive Geriatric Assessment parameters and depression in elderly patients
title_fullStr The relationship between Comprehensive Geriatric Assessment parameters and depression in elderly patients
title_full_unstemmed The relationship between Comprehensive Geriatric Assessment parameters and depression in elderly patients
title_short The relationship between Comprehensive Geriatric Assessment parameters and depression in elderly patients
title_sort relationship between comprehensive geriatric assessment parameters and depression in elderly patients
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360413/
https://www.ncbi.nlm.nih.gov/pubmed/35959294
http://dx.doi.org/10.3389/fnagi.2022.936024
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