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Possible Predictors of Involuntary Weight Loss in Patients with Alzheimer’s Disease
Loss in body mass (∆BM) is a common feature in patients with Alzheimer’s disease (AD). However, the etiology of this phenomenon is unclear. The aim of this cohort study was to observe possible ∆BM in AD patients following a standard institutionalized diet. Secondary objective was to identify possibl...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4922661/ https://www.ncbi.nlm.nih.gov/pubmed/27347878 http://dx.doi.org/10.1371/journal.pone.0157384 |
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author | Venturelli, Massimo Cè, Emiliano Limonta, Eloisa Muti, Ettore Scarsini, Renato Brasioli, Anna Schena, Federico Esposito, Fabio |
author_facet | Venturelli, Massimo Cè, Emiliano Limonta, Eloisa Muti, Ettore Scarsini, Renato Brasioli, Anna Schena, Federico Esposito, Fabio |
author_sort | Venturelli, Massimo |
collection | PubMed |
description | Loss in body mass (∆BM) is a common feature in patients with Alzheimer’s disease (AD). However, the etiology of this phenomenon is unclear. The aim of this cohort study was to observe possible ∆BM in AD patients following a standard institutionalized diet. Secondary objective was to identify possible predictors of ∆BM. To this end, 85 AD patients (age: 76±4 yrs; stature: 165±3 cm; BM: 61.6±7.4 kg; mean±standard deviation) and 86 controls (CTRL; age: 78±5 yrs; stature: 166±4 cm; BM: 61.7±6.4 kg) were followed during one year of standard institutionalized diet (~1800 kcal/24h). BM, daily energy expenditure, albuminemia, number of medications taken, and cortisolism, were recorded PRE and POST the observation period. Potential predictors of ∆BM in women (W) and men (M) with AD were calculated with a forward stepwise regression model. After one year of standard institutionalized diet, BM decreased significantly in AD (-2.5 kg; p < 0.01), while in CTRL remained unchanged (-0.4 kg; p = 0.8). AD patients and CTRL exhibited similar levels of daily energy expenditure (~1625 kcal/24h). The combination of three factors, number of medications taken, albuminemia, and cortisolism, predicted ∆BM in W with AD. At contrary, the best predictor of ∆BM in M with AD was the cortisolism. Despite a controlled energy intake and similar energy expenditure, both W and M with AD suffered of ∆BM. Therefore, controlled diet did not prevent this phenomenon. The assessments of these variables may predict W and M with AD at risk of weight loss. |
format | Online Article Text |
id | pubmed-4922661 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49226612016-07-18 Possible Predictors of Involuntary Weight Loss in Patients with Alzheimer’s Disease Venturelli, Massimo Cè, Emiliano Limonta, Eloisa Muti, Ettore Scarsini, Renato Brasioli, Anna Schena, Federico Esposito, Fabio PLoS One Research Article Loss in body mass (∆BM) is a common feature in patients with Alzheimer’s disease (AD). However, the etiology of this phenomenon is unclear. The aim of this cohort study was to observe possible ∆BM in AD patients following a standard institutionalized diet. Secondary objective was to identify possible predictors of ∆BM. To this end, 85 AD patients (age: 76±4 yrs; stature: 165±3 cm; BM: 61.6±7.4 kg; mean±standard deviation) and 86 controls (CTRL; age: 78±5 yrs; stature: 166±4 cm; BM: 61.7±6.4 kg) were followed during one year of standard institutionalized diet (~1800 kcal/24h). BM, daily energy expenditure, albuminemia, number of medications taken, and cortisolism, were recorded PRE and POST the observation period. Potential predictors of ∆BM in women (W) and men (M) with AD were calculated with a forward stepwise regression model. After one year of standard institutionalized diet, BM decreased significantly in AD (-2.5 kg; p < 0.01), while in CTRL remained unchanged (-0.4 kg; p = 0.8). AD patients and CTRL exhibited similar levels of daily energy expenditure (~1625 kcal/24h). The combination of three factors, number of medications taken, albuminemia, and cortisolism, predicted ∆BM in W with AD. At contrary, the best predictor of ∆BM in M with AD was the cortisolism. Despite a controlled energy intake and similar energy expenditure, both W and M with AD suffered of ∆BM. Therefore, controlled diet did not prevent this phenomenon. The assessments of these variables may predict W and M with AD at risk of weight loss. Public Library of Science 2016-06-27 /pmc/articles/PMC4922661/ /pubmed/27347878 http://dx.doi.org/10.1371/journal.pone.0157384 Text en © 2016 Venturelli et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Venturelli, Massimo Cè, Emiliano Limonta, Eloisa Muti, Ettore Scarsini, Renato Brasioli, Anna Schena, Federico Esposito, Fabio Possible Predictors of Involuntary Weight Loss in Patients with Alzheimer’s Disease |
title | Possible Predictors of Involuntary Weight Loss in Patients with Alzheimer’s Disease |
title_full | Possible Predictors of Involuntary Weight Loss in Patients with Alzheimer’s Disease |
title_fullStr | Possible Predictors of Involuntary Weight Loss in Patients with Alzheimer’s Disease |
title_full_unstemmed | Possible Predictors of Involuntary Weight Loss in Patients with Alzheimer’s Disease |
title_short | Possible Predictors of Involuntary Weight Loss in Patients with Alzheimer’s Disease |
title_sort | possible predictors of involuntary weight loss in patients with alzheimer’s disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4922661/ https://www.ncbi.nlm.nih.gov/pubmed/27347878 http://dx.doi.org/10.1371/journal.pone.0157384 |
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