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Frequency and factors associated with sarcopenia prediction in adult and elderly patients hospitalized for COVID-19
Patients with COVID-19 may develop symptoms that interfere with food intake. Systemic inflammatory response associated with physical inactivity and/or immobilization during hospital stay can induce weight and muscle loss leading to sarcopenia and worsening the clinical condition of these patients. T...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9443615/ https://www.ncbi.nlm.nih.gov/pubmed/36064158 http://dx.doi.org/10.1016/j.exger.2022.111945 |
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author | Aguiar, Gisele Barbosa de Dourado, Keila Fernandes Andrade, Maria Izabel Siqueira de Domingos Júnior, Ivanildo Ribeiro Barros-Neto, João Araújo Vasconcelos, Sandra Mary Lima Petribú, Marina de Moraes Vasconcelos Santos, Cláudia Mota dos Moura, Mayana Wanessa Santos de Aguiar, Claudiane Barbosa de Campos, Maria Isabela Xavier Santiago, Emerson Rogério Costa Silva, José Hélio Luna da Simões, Shirley Kelly dos Santos Rodrigues, Anna Carolina de Melo França Filho, José Carlos Domingues de Souza, Natália Mayara Menezes de Santos, Thayná Menezes |
author_facet | Aguiar, Gisele Barbosa de Dourado, Keila Fernandes Andrade, Maria Izabel Siqueira de Domingos Júnior, Ivanildo Ribeiro Barros-Neto, João Araújo Vasconcelos, Sandra Mary Lima Petribú, Marina de Moraes Vasconcelos Santos, Cláudia Mota dos Moura, Mayana Wanessa Santos de Aguiar, Claudiane Barbosa de Campos, Maria Isabela Xavier Santiago, Emerson Rogério Costa Silva, José Hélio Luna da Simões, Shirley Kelly dos Santos Rodrigues, Anna Carolina de Melo França Filho, José Carlos Domingues de Souza, Natália Mayara Menezes de Santos, Thayná Menezes |
author_sort | Aguiar, Gisele Barbosa de |
collection | PubMed |
description | Patients with COVID-19 may develop symptoms that interfere with food intake. Systemic inflammatory response associated with physical inactivity and/or immobilization during hospital stay can induce weight and muscle loss leading to sarcopenia and worsening the clinical condition of these patients. The present study identifies the frequency and factors associated with sarcopenia prediction in adult and elderly patients hospitalized for COVID-19. It is a cohort-nested cross-sectional study on adult and elderly patients admitted to wards and intensive care units (ICUs) of 8 hospitals in a northeastern Brazilian state. The study was conducted from June 2020 to June 2021. Sociodemographic, economic, lifestyle, and current and past clinical history variables were collected. Sarcopenia prediction was determined by the Strength, Assistance in walking, Rise from a chair, Climb stairs, and Falls (SARC-F) questionnaire compiled in the Remote-Malnutrition APP (R-MAPP). Patients were diagnosed with sarcopenia when the final score ≥ 4 points. The study included 214 patients with a mean age of 61.76 ± 16.91 years, of which 52.3 % were female and 57.5 % elderly. Sarcopenia prevailed in 40.7 % of the sample. Univariate analysis showed greater probability of sarcopenia in elderly individuals, nonpractitioners of physical activities, hypertensive patients, diabetic patients, and those hospitalized in the ICU. In the multivariate model, the type of hospital admission remained associated with sarcopenia prediction, where patients admitted to the ICU were 1.43 (95 % CI: 1.04; 1.97) more likely to have sarcopenia than those undergoing clinical treatment. Sarcopenia prediction was not associated with patient outcome (discharge, transfer, or death) (p = 0.332). The study highlighted an important percentage of sarcopenia prediction in patients with COVID-19, especially those admitted to the ICU. Additional investigations should be carried out to better understand and develop early diagnostic strategies to assist in the management of sarcopenic patients with COVID-19. |
format | Online Article Text |
id | pubmed-9443615 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94436152022-09-06 Frequency and factors associated with sarcopenia prediction in adult and elderly patients hospitalized for COVID-19 Aguiar, Gisele Barbosa de Dourado, Keila Fernandes Andrade, Maria Izabel Siqueira de Domingos Júnior, Ivanildo Ribeiro Barros-Neto, João Araújo Vasconcelos, Sandra Mary Lima Petribú, Marina de Moraes Vasconcelos Santos, Cláudia Mota dos Moura, Mayana Wanessa Santos de Aguiar, Claudiane Barbosa de Campos, Maria Isabela Xavier Santiago, Emerson Rogério Costa Silva, José Hélio Luna da Simões, Shirley Kelly dos Santos Rodrigues, Anna Carolina de Melo França Filho, José Carlos Domingues de Souza, Natália Mayara Menezes de Santos, Thayná Menezes Exp Gerontol Article Patients with COVID-19 may develop symptoms that interfere with food intake. Systemic inflammatory response associated with physical inactivity and/or immobilization during hospital stay can induce weight and muscle loss leading to sarcopenia and worsening the clinical condition of these patients. The present study identifies the frequency and factors associated with sarcopenia prediction in adult and elderly patients hospitalized for COVID-19. It is a cohort-nested cross-sectional study on adult and elderly patients admitted to wards and intensive care units (ICUs) of 8 hospitals in a northeastern Brazilian state. The study was conducted from June 2020 to June 2021. Sociodemographic, economic, lifestyle, and current and past clinical history variables were collected. Sarcopenia prediction was determined by the Strength, Assistance in walking, Rise from a chair, Climb stairs, and Falls (SARC-F) questionnaire compiled in the Remote-Malnutrition APP (R-MAPP). Patients were diagnosed with sarcopenia when the final score ≥ 4 points. The study included 214 patients with a mean age of 61.76 ± 16.91 years, of which 52.3 % were female and 57.5 % elderly. Sarcopenia prevailed in 40.7 % of the sample. Univariate analysis showed greater probability of sarcopenia in elderly individuals, nonpractitioners of physical activities, hypertensive patients, diabetic patients, and those hospitalized in the ICU. In the multivariate model, the type of hospital admission remained associated with sarcopenia prediction, where patients admitted to the ICU were 1.43 (95 % CI: 1.04; 1.97) more likely to have sarcopenia than those undergoing clinical treatment. Sarcopenia prediction was not associated with patient outcome (discharge, transfer, or death) (p = 0.332). The study highlighted an important percentage of sarcopenia prediction in patients with COVID-19, especially those admitted to the ICU. Additional investigations should be carried out to better understand and develop early diagnostic strategies to assist in the management of sarcopenic patients with COVID-19. Elsevier Inc. 2022-10-15 2022-09-05 /pmc/articles/PMC9443615/ /pubmed/36064158 http://dx.doi.org/10.1016/j.exger.2022.111945 Text en © 2022 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Aguiar, Gisele Barbosa de Dourado, Keila Fernandes Andrade, Maria Izabel Siqueira de Domingos Júnior, Ivanildo Ribeiro Barros-Neto, João Araújo Vasconcelos, Sandra Mary Lima Petribú, Marina de Moraes Vasconcelos Santos, Cláudia Mota dos Moura, Mayana Wanessa Santos de Aguiar, Claudiane Barbosa de Campos, Maria Isabela Xavier Santiago, Emerson Rogério Costa Silva, José Hélio Luna da Simões, Shirley Kelly dos Santos Rodrigues, Anna Carolina de Melo França Filho, José Carlos Domingues de Souza, Natália Mayara Menezes de Santos, Thayná Menezes Frequency and factors associated with sarcopenia prediction in adult and elderly patients hospitalized for COVID-19 |
title | Frequency and factors associated with sarcopenia prediction in adult and elderly patients hospitalized for COVID-19 |
title_full | Frequency and factors associated with sarcopenia prediction in adult and elderly patients hospitalized for COVID-19 |
title_fullStr | Frequency and factors associated with sarcopenia prediction in adult and elderly patients hospitalized for COVID-19 |
title_full_unstemmed | Frequency and factors associated with sarcopenia prediction in adult and elderly patients hospitalized for COVID-19 |
title_short | Frequency and factors associated with sarcopenia prediction in adult and elderly patients hospitalized for COVID-19 |
title_sort | frequency and factors associated with sarcopenia prediction in adult and elderly patients hospitalized for covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9443615/ https://www.ncbi.nlm.nih.gov/pubmed/36064158 http://dx.doi.org/10.1016/j.exger.2022.111945 |
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