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STRONGkids validation: tool accuracy()

OBJECTIVE: Validate the accuracy of the Screening Tool for Risk on Nutritional status and Growth (STRONGkids) and estimate the prevalence of malnutrition and nutritional risk in hospitalized children. METHODS: Cross-sectional study of a representative sample of children admitted to ten public pediat...

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Autores principales: Maciel, Juliana Rolim Vieira, Nakano, Eduardo Yoshio, Carvalho, Kênia Mara Baiocchi de, Dutra, Eliane Said
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9432264/
https://www.ncbi.nlm.nih.gov/pubmed/31028746
http://dx.doi.org/10.1016/j.jped.2018.12.012
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author Maciel, Juliana Rolim Vieira
Nakano, Eduardo Yoshio
Carvalho, Kênia Mara Baiocchi de
Dutra, Eliane Said
author_facet Maciel, Juliana Rolim Vieira
Nakano, Eduardo Yoshio
Carvalho, Kênia Mara Baiocchi de
Dutra, Eliane Said
author_sort Maciel, Juliana Rolim Vieira
collection PubMed
description OBJECTIVE: Validate the accuracy of the Screening Tool for Risk on Nutritional status and Growth (STRONGkids) and estimate the prevalence of malnutrition and nutritional risk in hospitalized children. METHODS: Cross-sectional study of a representative sample of children admitted to ten public pediatric emergency rooms. The sample was randomly estimated in stages, including children older than 30 days and younger than 10 years of age, of both sexes, excluding syndromic children and those in whom it was impossible to directly measure anthropometry. Weight, height, and arm circumference were measured, as well as the Z-scores of the anthropometric indices weight-for-age, height-for-age, weight-for-height, body mass index for age, and arm circumference for age, classified according to the reference curves of the World Health Organization. After the tool was applied, its accuracy tests were performed in comparison with the anthropometric data, with the evaluation of sensitivity, specificity, and positive and negative predictive values. RESULTS: A total of 271 children were evaluated, 56.46% males and 41.70% younger than 2 years of age. The prevalence rates of malnutrition, nutritional risk assessed by anthropometric measurements, and nutritional risk assessed by the tool were 12.18%, 33.95%, and 78.60%, respectively. Accuracy showed sensitivity of 84.8%, specificity of 26.7%, positive predictive value of 49.8%, and negative predictive value of 67.2%, when the patients at nutritional risk were identified by anthropometry. CONCLUSION: Validation of the accuracy of STRONGkids was performed, showing high sensitivity, allowing the early identification of nutritional risk in similar populations.
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spelling pubmed-94322642022-09-08 STRONGkids validation: tool accuracy() Maciel, Juliana Rolim Vieira Nakano, Eduardo Yoshio Carvalho, Kênia Mara Baiocchi de Dutra, Eliane Said J Pediatr (Rio J) Original Article OBJECTIVE: Validate the accuracy of the Screening Tool for Risk on Nutritional status and Growth (STRONGkids) and estimate the prevalence of malnutrition and nutritional risk in hospitalized children. METHODS: Cross-sectional study of a representative sample of children admitted to ten public pediatric emergency rooms. The sample was randomly estimated in stages, including children older than 30 days and younger than 10 years of age, of both sexes, excluding syndromic children and those in whom it was impossible to directly measure anthropometry. Weight, height, and arm circumference were measured, as well as the Z-scores of the anthropometric indices weight-for-age, height-for-age, weight-for-height, body mass index for age, and arm circumference for age, classified according to the reference curves of the World Health Organization. After the tool was applied, its accuracy tests were performed in comparison with the anthropometric data, with the evaluation of sensitivity, specificity, and positive and negative predictive values. RESULTS: A total of 271 children were evaluated, 56.46% males and 41.70% younger than 2 years of age. The prevalence rates of malnutrition, nutritional risk assessed by anthropometric measurements, and nutritional risk assessed by the tool were 12.18%, 33.95%, and 78.60%, respectively. Accuracy showed sensitivity of 84.8%, specificity of 26.7%, positive predictive value of 49.8%, and negative predictive value of 67.2%, when the patients at nutritional risk were identified by anthropometry. CONCLUSION: Validation of the accuracy of STRONGkids was performed, showing high sensitivity, allowing the early identification of nutritional risk in similar populations. Elsevier 2019-04-24 /pmc/articles/PMC9432264/ /pubmed/31028746 http://dx.doi.org/10.1016/j.jped.2018.12.012 Text en © 2019 Sociedade Brasileira de Pediatria. Published by Elsevier Editora Ltda. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Maciel, Juliana Rolim Vieira
Nakano, Eduardo Yoshio
Carvalho, Kênia Mara Baiocchi de
Dutra, Eliane Said
STRONGkids validation: tool accuracy()
title STRONGkids validation: tool accuracy()
title_full STRONGkids validation: tool accuracy()
title_fullStr STRONGkids validation: tool accuracy()
title_full_unstemmed STRONGkids validation: tool accuracy()
title_short STRONGkids validation: tool accuracy()
title_sort strongkids validation: tool accuracy()
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9432264/
https://www.ncbi.nlm.nih.gov/pubmed/31028746
http://dx.doi.org/10.1016/j.jped.2018.12.012
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