Cargando…

The relationship between malnutrition risk and inflammatory biomarkers in outpatient geriatric population

PURPOSE: Malnutrition is an underestimated, but significant problem among older persons. It is described as a consequence of genetic and environmental factors, lack of physical activity, and co-morbidities. However, a key role of a geriatrician is to further explore the multidimensional complexity o...

Descripción completa

Detalles Bibliográficos
Autores principales: Fatyga, Paulina, Pac, Agnieszka, Fedyk-Łukasik, Małgorzata, Grodzicki, Tomasz, Skalska, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280354/
https://www.ncbi.nlm.nih.gov/pubmed/32297262
http://dx.doi.org/10.1007/s41999-020-00303-4
_version_ 1783543733943271424
author Fatyga, Paulina
Pac, Agnieszka
Fedyk-Łukasik, Małgorzata
Grodzicki, Tomasz
Skalska, Anna
author_facet Fatyga, Paulina
Pac, Agnieszka
Fedyk-Łukasik, Małgorzata
Grodzicki, Tomasz
Skalska, Anna
author_sort Fatyga, Paulina
collection PubMed
description PURPOSE: Malnutrition is an underestimated, but significant problem among older persons. It is described as a consequence of genetic and environmental factors, lack of physical activity, and co-morbidities. However, a key role of a geriatrician is to further explore the multidimensional complexity of this issue. The aim of this study was to identify the relationship between nutritional status and different factors, particularly focusing on inflammatory biomarkers. METHODS: Nutritional status was assessed using Mini-Nutritional-Assessment with a score below 24 (out of 30) defined as malnutrition. Different serum biomarkers of inflammation were measured, such as High-Sensitivity-C-Reactive-Protein (hsCRP), Interleukin-6 (IL-6), Interleukin-8 (IL-8), Interleukin-18(IL-18), osteoprotegerin(OPG), and Soluble-Receptor-For-TNF-alfa(sTNFRII). Medical history, mental status (Mini-Mental-State-Examination, Geriatric-Depression-Scale) and activities of daily living (using Instrumental-Activities-of-Daily-Living-Scale) were used in the evaluation. The relationship between nutritional status and the factors listed was assessed. RESULTS: The mean age of 76 examined persons (40.8% female) from the outpatient clinic was 71 years. Malnutrition risk was recognized in 29%. The following factors significant in univariate regression were used in stepwise regression analysis: age, sex, mental status (MMSE, GDS), valve disease, number of diseases, IADL. Stepwise regression revealed that the risk of malnutrition was increased by the presence of valve disease, number of diseases, and female sex. Factors that increased the risk of malnutrition were: logsTNFRII (OR = 3.09; 95% CI 1.07–8.96), IL-8 (OR = 1.09; 95% CI 1.00–1.18), and OPG (OR = 1.27; 95% CI 1.02–1.57). Risk of malnutrition was negatively associated with Il-18(OR = 0.995; 95% CI 0.991–0.999). CONCLUSIONS: Chronic inflammation and immunologic process are likely contributors to the complex etiopathogenesis of malnutrition in older persons.
format Online
Article
Text
id pubmed-7280354
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-72803542020-06-15 The relationship between malnutrition risk and inflammatory biomarkers in outpatient geriatric population Fatyga, Paulina Pac, Agnieszka Fedyk-Łukasik, Małgorzata Grodzicki, Tomasz Skalska, Anna Eur Geriatr Med Research Paper PURPOSE: Malnutrition is an underestimated, but significant problem among older persons. It is described as a consequence of genetic and environmental factors, lack of physical activity, and co-morbidities. However, a key role of a geriatrician is to further explore the multidimensional complexity of this issue. The aim of this study was to identify the relationship between nutritional status and different factors, particularly focusing on inflammatory biomarkers. METHODS: Nutritional status was assessed using Mini-Nutritional-Assessment with a score below 24 (out of 30) defined as malnutrition. Different serum biomarkers of inflammation were measured, such as High-Sensitivity-C-Reactive-Protein (hsCRP), Interleukin-6 (IL-6), Interleukin-8 (IL-8), Interleukin-18(IL-18), osteoprotegerin(OPG), and Soluble-Receptor-For-TNF-alfa(sTNFRII). Medical history, mental status (Mini-Mental-State-Examination, Geriatric-Depression-Scale) and activities of daily living (using Instrumental-Activities-of-Daily-Living-Scale) were used in the evaluation. The relationship between nutritional status and the factors listed was assessed. RESULTS: The mean age of 76 examined persons (40.8% female) from the outpatient clinic was 71 years. Malnutrition risk was recognized in 29%. The following factors significant in univariate regression were used in stepwise regression analysis: age, sex, mental status (MMSE, GDS), valve disease, number of diseases, IADL. Stepwise regression revealed that the risk of malnutrition was increased by the presence of valve disease, number of diseases, and female sex. Factors that increased the risk of malnutrition were: logsTNFRII (OR = 3.09; 95% CI 1.07–8.96), IL-8 (OR = 1.09; 95% CI 1.00–1.18), and OPG (OR = 1.27; 95% CI 1.02–1.57). Risk of malnutrition was negatively associated with Il-18(OR = 0.995; 95% CI 0.991–0.999). CONCLUSIONS: Chronic inflammation and immunologic process are likely contributors to the complex etiopathogenesis of malnutrition in older persons. Springer International Publishing 2020-03-06 2020 /pmc/articles/PMC7280354/ /pubmed/32297262 http://dx.doi.org/10.1007/s41999-020-00303-4 Text en © The Author(s) 2020 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/.
spellingShingle Research Paper
Fatyga, Paulina
Pac, Agnieszka
Fedyk-Łukasik, Małgorzata
Grodzicki, Tomasz
Skalska, Anna
The relationship between malnutrition risk and inflammatory biomarkers in outpatient geriatric population
title The relationship between malnutrition risk and inflammatory biomarkers in outpatient geriatric population
title_full The relationship between malnutrition risk and inflammatory biomarkers in outpatient geriatric population
title_fullStr The relationship between malnutrition risk and inflammatory biomarkers in outpatient geriatric population
title_full_unstemmed The relationship between malnutrition risk and inflammatory biomarkers in outpatient geriatric population
title_short The relationship between malnutrition risk and inflammatory biomarkers in outpatient geriatric population
title_sort relationship between malnutrition risk and inflammatory biomarkers in outpatient geriatric population
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280354/
https://www.ncbi.nlm.nih.gov/pubmed/32297262
http://dx.doi.org/10.1007/s41999-020-00303-4
work_keys_str_mv AT fatygapaulina therelationshipbetweenmalnutritionriskandinflammatorybiomarkersinoutpatientgeriatricpopulation
AT pacagnieszka therelationshipbetweenmalnutritionriskandinflammatorybiomarkersinoutpatientgeriatricpopulation
AT fedykłukasikmałgorzata therelationshipbetweenmalnutritionriskandinflammatorybiomarkersinoutpatientgeriatricpopulation
AT grodzickitomasz therelationshipbetweenmalnutritionriskandinflammatorybiomarkersinoutpatientgeriatricpopulation
AT skalskaanna therelationshipbetweenmalnutritionriskandinflammatorybiomarkersinoutpatientgeriatricpopulation
AT fatygapaulina relationshipbetweenmalnutritionriskandinflammatorybiomarkersinoutpatientgeriatricpopulation
AT pacagnieszka relationshipbetweenmalnutritionriskandinflammatorybiomarkersinoutpatientgeriatricpopulation
AT fedykłukasikmałgorzata relationshipbetweenmalnutritionriskandinflammatorybiomarkersinoutpatientgeriatricpopulation
AT grodzickitomasz relationshipbetweenmalnutritionriskandinflammatorybiomarkersinoutpatientgeriatricpopulation
AT skalskaanna relationshipbetweenmalnutritionriskandinflammatorybiomarkersinoutpatientgeriatricpopulation