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Evaluation of a new digital pediatric malnutrition risk screening tool for hospitalized children with congenital heart disease

BACKGROUND: In a cohort of hospitalized children with congenital heart disease (CHD), a new digital pediatric malnutrition screening tool as a mobile application was validated, and its effectiveness and clinical value were determined as a prospective study. METHODS AND RESULTS: Children with CHD (n ...

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Autores principales: Zhang, Yajie, Lu, Lina, Yang, Ling, Yan, Weihui, Yu, Qun, Sheng, Jinye, Mao, Xiaomeng, Feng, Yi, Tang, Qingya, Cai, Wei, Wang, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024365/
https://www.ncbi.nlm.nih.gov/pubmed/36934232
http://dx.doi.org/10.1186/s12887-023-03899-1
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author Zhang, Yajie
Lu, Lina
Yang, Ling
Yan, Weihui
Yu, Qun
Sheng, Jinye
Mao, Xiaomeng
Feng, Yi
Tang, Qingya
Cai, Wei
Wang, Ying
author_facet Zhang, Yajie
Lu, Lina
Yang, Ling
Yan, Weihui
Yu, Qun
Sheng, Jinye
Mao, Xiaomeng
Feng, Yi
Tang, Qingya
Cai, Wei
Wang, Ying
author_sort Zhang, Yajie
collection PubMed
description BACKGROUND: In a cohort of hospitalized children with congenital heart disease (CHD), a new digital pediatric malnutrition screening tool as a mobile application was validated, and its effectiveness and clinical value were determined as a prospective study. METHODS AND RESULTS: Children with CHD (n = 1125) were screened for malnutrition risk. The incidence of risk and the differences among various age groups and types of CHD were characterized. The optimal threshold for the tool to determine if there is a risk of malnutrition is score 2, while the Youden index was 79.1%, and the sensitivity and specificity were 91.2% and 87.9%, respectively. Based on such criterion, 351 children were at risk of malnutrition accounting for 31.20% of the total. Compared with the non-malnutritional risk group, the median age for the group at risk for malnutrition was younger (8.641 months [4.8, 23.1] vs. 31.589 months [12.4, 54.3], P < 0.01), and the length of stay was longer (12.000 [8.0, 17.0] vs. (8.420 [5.0, 12.0], P < 0.01]. There were significant differences in malnutrition risk among different age groups (χ(2) = 144.933, P < 0.01), and children under one year of age exhibited the highest risk for malnutrition and more extended hospital stay (H = 78.085, P < 0.01). The risk of malnutrition among children with cyanotic CHD was higher than in those with non-cyanotic CHD (χ(2) = 104.384, P < 0.01). CONCLUSIONS: The new digital pediatric malnutrition screening tool showed high sensitivity and specificity in children with CHD. The tool indicated that the malnutrition risk for young children and children with cyanotic or Bethesda moderate and complex CHD was higher, and the hospitalization time was longer than in the non-risk group. The tool provides a rational approach to targeted nutrition intervention and support and may improve clinical outcomes.
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spelling pubmed-100243652023-03-19 Evaluation of a new digital pediatric malnutrition risk screening tool for hospitalized children with congenital heart disease Zhang, Yajie Lu, Lina Yang, Ling Yan, Weihui Yu, Qun Sheng, Jinye Mao, Xiaomeng Feng, Yi Tang, Qingya Cai, Wei Wang, Ying BMC Pediatr Research BACKGROUND: In a cohort of hospitalized children with congenital heart disease (CHD), a new digital pediatric malnutrition screening tool as a mobile application was validated, and its effectiveness and clinical value were determined as a prospective study. METHODS AND RESULTS: Children with CHD (n = 1125) were screened for malnutrition risk. The incidence of risk and the differences among various age groups and types of CHD were characterized. The optimal threshold for the tool to determine if there is a risk of malnutrition is score 2, while the Youden index was 79.1%, and the sensitivity and specificity were 91.2% and 87.9%, respectively. Based on such criterion, 351 children were at risk of malnutrition accounting for 31.20% of the total. Compared with the non-malnutritional risk group, the median age for the group at risk for malnutrition was younger (8.641 months [4.8, 23.1] vs. 31.589 months [12.4, 54.3], P < 0.01), and the length of stay was longer (12.000 [8.0, 17.0] vs. (8.420 [5.0, 12.0], P < 0.01]. There were significant differences in malnutrition risk among different age groups (χ(2) = 144.933, P < 0.01), and children under one year of age exhibited the highest risk for malnutrition and more extended hospital stay (H = 78.085, P < 0.01). The risk of malnutrition among children with cyanotic CHD was higher than in those with non-cyanotic CHD (χ(2) = 104.384, P < 0.01). CONCLUSIONS: The new digital pediatric malnutrition screening tool showed high sensitivity and specificity in children with CHD. The tool indicated that the malnutrition risk for young children and children with cyanotic or Bethesda moderate and complex CHD was higher, and the hospitalization time was longer than in the non-risk group. The tool provides a rational approach to targeted nutrition intervention and support and may improve clinical outcomes. BioMed Central 2023-03-18 /pmc/articles/PMC10024365/ /pubmed/36934232 http://dx.doi.org/10.1186/s12887-023-03899-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Yajie
Lu, Lina
Yang, Ling
Yan, Weihui
Yu, Qun
Sheng, Jinye
Mao, Xiaomeng
Feng, Yi
Tang, Qingya
Cai, Wei
Wang, Ying
Evaluation of a new digital pediatric malnutrition risk screening tool for hospitalized children with congenital heart disease
title Evaluation of a new digital pediatric malnutrition risk screening tool for hospitalized children with congenital heart disease
title_full Evaluation of a new digital pediatric malnutrition risk screening tool for hospitalized children with congenital heart disease
title_fullStr Evaluation of a new digital pediatric malnutrition risk screening tool for hospitalized children with congenital heart disease
title_full_unstemmed Evaluation of a new digital pediatric malnutrition risk screening tool for hospitalized children with congenital heart disease
title_short Evaluation of a new digital pediatric malnutrition risk screening tool for hospitalized children with congenital heart disease
title_sort evaluation of a new digital pediatric malnutrition risk screening tool for hospitalized children with congenital heart disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024365/
https://www.ncbi.nlm.nih.gov/pubmed/36934232
http://dx.doi.org/10.1186/s12887-023-03899-1
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