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Vitamin D and Healthcare Service Utilization in Children: Insights from a Machine Learning Approach
Vitamin D deficiency and insufficiency is a global health issue: an association has been demonstrated between vitamin D deficiency and a myriad of acute and chronic illnesses. Data regarding vitamin D status among children hospitalized with non-critical illnesses are scanty. We aimed to: (1) identif...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738108/ https://www.ncbi.nlm.nih.gov/pubmed/36498731 http://dx.doi.org/10.3390/jcm11237157 |
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author | Ferrante, Giuliana Fasola, Salvatore Piazza, Michele Tenero, Laura Zaffanello, Marco La Grutta, Stefania Piacentini, Giorgio |
author_facet | Ferrante, Giuliana Fasola, Salvatore Piazza, Michele Tenero, Laura Zaffanello, Marco La Grutta, Stefania Piacentini, Giorgio |
author_sort | Ferrante, Giuliana |
collection | PubMed |
description | Vitamin D deficiency and insufficiency is a global health issue: an association has been demonstrated between vitamin D deficiency and a myriad of acute and chronic illnesses. Data regarding vitamin D status among children hospitalized with non-critical illnesses are scanty. We aimed to: (1) identify profiles of children hospitalized due to non-critical illnesses, using vitamin D levels as the driving outcome; (2) assess the association between patient profiles and length of stay. The study included 854 patients (1–17 years old) who underwent blood tests for detecting vitamin D levels. A regression tree was used to stratify patients. The relationship between vitamin D levels and length of stay was explored using Poisson regression. The regression tree identified three subgroups. Group A (16%): African, North African, Hispanic, and Indian patients. Group B (62%): Caucasian and Asian patients hospitalized for respiratory, metabolic, ill-defined, infective, and genitourinary diseases. Group C (22%): Caucasian and Asian patients hospitalized for digestive, nervous, and musculoskeletal diseases, blood and skin diseases, and injuries. Mean serum vitamin D level (ng/mL) was 13.7 (SD = 9.4) in Group A, 20.5 (10.0) in Group B, and 26.2 (12.6) in Group C. Group B was associated with the highest BMI z-score (p < 0.001) and the highest frequency of preterm births (p = 0.041). Mean length of stay was longer in Group A than in the other groups (p < 0.001) and decreased significantly by 9.8% (p = 0.024) in Group A and by 5% (p = 0.029) in Group B per 10 ng/mL increase in vitamin D level. We identified three subgroups of hospitalized children, defined according to ethnicity and discharge diagnosis, and characterized by increasing vitamin D levels. Vitamin D levels were associated with length of hospitalization. |
format | Online Article Text |
id | pubmed-9738108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97381082022-12-11 Vitamin D and Healthcare Service Utilization in Children: Insights from a Machine Learning Approach Ferrante, Giuliana Fasola, Salvatore Piazza, Michele Tenero, Laura Zaffanello, Marco La Grutta, Stefania Piacentini, Giorgio J Clin Med Article Vitamin D deficiency and insufficiency is a global health issue: an association has been demonstrated between vitamin D deficiency and a myriad of acute and chronic illnesses. Data regarding vitamin D status among children hospitalized with non-critical illnesses are scanty. We aimed to: (1) identify profiles of children hospitalized due to non-critical illnesses, using vitamin D levels as the driving outcome; (2) assess the association between patient profiles and length of stay. The study included 854 patients (1–17 years old) who underwent blood tests for detecting vitamin D levels. A regression tree was used to stratify patients. The relationship between vitamin D levels and length of stay was explored using Poisson regression. The regression tree identified three subgroups. Group A (16%): African, North African, Hispanic, and Indian patients. Group B (62%): Caucasian and Asian patients hospitalized for respiratory, metabolic, ill-defined, infective, and genitourinary diseases. Group C (22%): Caucasian and Asian patients hospitalized for digestive, nervous, and musculoskeletal diseases, blood and skin diseases, and injuries. Mean serum vitamin D level (ng/mL) was 13.7 (SD = 9.4) in Group A, 20.5 (10.0) in Group B, and 26.2 (12.6) in Group C. Group B was associated with the highest BMI z-score (p < 0.001) and the highest frequency of preterm births (p = 0.041). Mean length of stay was longer in Group A than in the other groups (p < 0.001) and decreased significantly by 9.8% (p = 0.024) in Group A and by 5% (p = 0.029) in Group B per 10 ng/mL increase in vitamin D level. We identified three subgroups of hospitalized children, defined according to ethnicity and discharge diagnosis, and characterized by increasing vitamin D levels. Vitamin D levels were associated with length of hospitalization. MDPI 2022-12-01 /pmc/articles/PMC9738108/ /pubmed/36498731 http://dx.doi.org/10.3390/jcm11237157 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ferrante, Giuliana Fasola, Salvatore Piazza, Michele Tenero, Laura Zaffanello, Marco La Grutta, Stefania Piacentini, Giorgio Vitamin D and Healthcare Service Utilization in Children: Insights from a Machine Learning Approach |
title | Vitamin D and Healthcare Service Utilization in Children: Insights from a Machine Learning Approach |
title_full | Vitamin D and Healthcare Service Utilization in Children: Insights from a Machine Learning Approach |
title_fullStr | Vitamin D and Healthcare Service Utilization in Children: Insights from a Machine Learning Approach |
title_full_unstemmed | Vitamin D and Healthcare Service Utilization in Children: Insights from a Machine Learning Approach |
title_short | Vitamin D and Healthcare Service Utilization in Children: Insights from a Machine Learning Approach |
title_sort | vitamin d and healthcare service utilization in children: insights from a machine learning approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738108/ https://www.ncbi.nlm.nih.gov/pubmed/36498731 http://dx.doi.org/10.3390/jcm11237157 |
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