Cargando…

Application of a score system to evaluate the risk of malnutrition in a multiple hospital setting

BACKGROUND: An increased but unpredictable risk of malnutrition is associated with hospitalization, especially in children with chronic diseases. We investigated the applicability of Screening Tool for Risk of Impaired Nutritional Status and Growth (STRONGkids), an instrument proposed to estimate th...

Descripción completa

Detalles Bibliográficos
Autores principales: Spagnuolo, Maria Immacolata, Liguoro, Ilaria, Chiatto, Fabrizia, Mambretti, Daniela, Guarino, Alfredo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901031/
https://www.ncbi.nlm.nih.gov/pubmed/24373709
http://dx.doi.org/10.1186/1824-7288-39-81
_version_ 1782300792186732544
author Spagnuolo, Maria Immacolata
Liguoro, Ilaria
Chiatto, Fabrizia
Mambretti, Daniela
Guarino, Alfredo
author_facet Spagnuolo, Maria Immacolata
Liguoro, Ilaria
Chiatto, Fabrizia
Mambretti, Daniela
Guarino, Alfredo
author_sort Spagnuolo, Maria Immacolata
collection PubMed
description BACKGROUND: An increased but unpredictable risk of malnutrition is associated with hospitalization, especially in children with chronic diseases. We investigated the applicability of Screening Tool for Risk of Impaired Nutritional Status and Growth (STRONGkids), an instrument proposed to estimate the risk of malnutrition in hospitalized children. We also evaluated the role of age and co-morbidities as risk for malnutrition. METHODS: The STRONGkids consists of 4 items providing a score that classifies a patient in low, moderate, high risk for malnutrition. A prospective observational multi-centre study was performed in 12 Italian hospitals. Children 1–18 years consecutively admitted and otherwise unselected were enrolled. Their STRONGkids score was obtained and compared with the actual nutritional status expressed as BMI and Height for Age SD-score. RESULTS: Of 144 children (75 males, mean age 6.5 ± 4.5 years), 52 (36%) had an underlying chronic disease. According to STRONGkids, 46 (32%) children were at low risk, 76 (53%) at moderate risk and 22 (15%) at high risk for malnutrition. The latter had significantly lower Height for Age values (mean SD value -1.07 ± 2.08; p = 0.008) and BMI values (mean SD-values -0.79 ± 2.09; p = 0.0021) in comparison to other groups. However, only 29 children were actually malnourished. CONCLUSIONS: The STRONGkids is easy to administer. It is highly sensitive but not specific. It may be used as a very preliminary screening tool to be integrated with other clinical data in order to reliably predict the risk of malnutrition.
format Online
Article
Text
id pubmed-3901031
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-39010312014-02-06 Application of a score system to evaluate the risk of malnutrition in a multiple hospital setting Spagnuolo, Maria Immacolata Liguoro, Ilaria Chiatto, Fabrizia Mambretti, Daniela Guarino, Alfredo Ital J Pediatr Research BACKGROUND: An increased but unpredictable risk of malnutrition is associated with hospitalization, especially in children with chronic diseases. We investigated the applicability of Screening Tool for Risk of Impaired Nutritional Status and Growth (STRONGkids), an instrument proposed to estimate the risk of malnutrition in hospitalized children. We also evaluated the role of age and co-morbidities as risk for malnutrition. METHODS: The STRONGkids consists of 4 items providing a score that classifies a patient in low, moderate, high risk for malnutrition. A prospective observational multi-centre study was performed in 12 Italian hospitals. Children 1–18 years consecutively admitted and otherwise unselected were enrolled. Their STRONGkids score was obtained and compared with the actual nutritional status expressed as BMI and Height for Age SD-score. RESULTS: Of 144 children (75 males, mean age 6.5 ± 4.5 years), 52 (36%) had an underlying chronic disease. According to STRONGkids, 46 (32%) children were at low risk, 76 (53%) at moderate risk and 22 (15%) at high risk for malnutrition. The latter had significantly lower Height for Age values (mean SD value -1.07 ± 2.08; p = 0.008) and BMI values (mean SD-values -0.79 ± 2.09; p = 0.0021) in comparison to other groups. However, only 29 children were actually malnourished. CONCLUSIONS: The STRONGkids is easy to administer. It is highly sensitive but not specific. It may be used as a very preliminary screening tool to be integrated with other clinical data in order to reliably predict the risk of malnutrition. BioMed Central 2013-12-27 /pmc/articles/PMC3901031/ /pubmed/24373709 http://dx.doi.org/10.1186/1824-7288-39-81 Text en Copyright © 2013 Spagnuolo et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Spagnuolo, Maria Immacolata
Liguoro, Ilaria
Chiatto, Fabrizia
Mambretti, Daniela
Guarino, Alfredo
Application of a score system to evaluate the risk of malnutrition in a multiple hospital setting
title Application of a score system to evaluate the risk of malnutrition in a multiple hospital setting
title_full Application of a score system to evaluate the risk of malnutrition in a multiple hospital setting
title_fullStr Application of a score system to evaluate the risk of malnutrition in a multiple hospital setting
title_full_unstemmed Application of a score system to evaluate the risk of malnutrition in a multiple hospital setting
title_short Application of a score system to evaluate the risk of malnutrition in a multiple hospital setting
title_sort application of a score system to evaluate the risk of malnutrition in a multiple hospital setting
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901031/
https://www.ncbi.nlm.nih.gov/pubmed/24373709
http://dx.doi.org/10.1186/1824-7288-39-81
work_keys_str_mv AT spagnuolomariaimmacolata applicationofascoresystemtoevaluatetheriskofmalnutritioninamultiplehospitalsetting
AT liguoroilaria applicationofascoresystemtoevaluatetheriskofmalnutritioninamultiplehospitalsetting
AT chiattofabrizia applicationofascoresystemtoevaluatetheriskofmalnutritioninamultiplehospitalsetting
AT mambrettidaniela applicationofascoresystemtoevaluatetheriskofmalnutritioninamultiplehospitalsetting
AT guarinoalfredo applicationofascoresystemtoevaluatetheriskofmalnutritioninamultiplehospitalsetting