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Identification of bronchiolitis profiles in Italian children through the application of latent class analysis

BACKGROUND: Bronchiolitis is the primary infection of the lower respiratory tract in children under 2 years of age. Although it is generally considered a single nosological entity, recent studies suggested remarkable clinical heterogeneity. To date, no studies have identified classes of children wit...

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Autores principales: Ferrante, Giuliana, Fondacaro, Carmela, Cilluffo, Giovanna, Dones, Piera, Cardella, Francesca, Corsello, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7539284/
https://www.ncbi.nlm.nih.gov/pubmed/33028377
http://dx.doi.org/10.1186/s13052-020-00914-4
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author Ferrante, Giuliana
Fondacaro, Carmela
Cilluffo, Giovanna
Dones, Piera
Cardella, Francesca
Corsello, Giovanni
author_facet Ferrante, Giuliana
Fondacaro, Carmela
Cilluffo, Giovanna
Dones, Piera
Cardella, Francesca
Corsello, Giovanni
author_sort Ferrante, Giuliana
collection PubMed
description BACKGROUND: Bronchiolitis is the primary infection of the lower respiratory tract in children under 2 years of age. Although it is generally considered a single nosological entity, recent studies suggested remarkable clinical heterogeneity. To date, no studies have identified classes of children with bronchiolitis within the Italian population. This study aimed to identify discrete profiles of Italian children hospitalized with bronchiolitis using a clustering approach and to compare findings with those obtained in international cohorts. METHODS: This was a retrospective single-centre study conducted on children aged ≤2 years hospitalised with bronchiolitis (n = 401) at the Department of Infectious Diseases and the University Department of General Pediatrics in “Giovanni Di Cristina” Pediatric Hospital of Palermo, Italy, between November 2012 and May 2019. Bronchiolitis profiles were determined by latent class analysis, classifying children based on clinical characteristics at admission and viral aetiology. RESULTS: Three profiles were identified. Class 1 (49%) was composed of 45% male children; all children were aged ≤6 months at hospitalization; 77% were infected with RSV; 100% had respiratory distress, 11% had apnea and none had cough. Class 2 (77%) was mainly composed of male subjects (51%); 19% were aged > 6 months at admission; 37% were infected with RSV; 12% had respiratory distress, 5% had apnea and 90% had cough. Class 3 (19%) included the largest proportion of male subjects (94%) and was mostly composed of children aged > 6 months at the time of admission (68%); 70% had cough, 12% showed respiratory distress and none presented with apnoea. Children in Class 1 were more frequently born near the epidemic season (p = 0.028); breastfeeding duration was significantly longer for children in Class 3 (p = 0.004). CONCLUSIONS: The study identified distinct clinical profiles of bronchiolitis by a clustering approach in a single-centre study of children hospitalised for bronchiolitis in Italy. The three bronchiolitis profiles share some similarities with those identified in international studies using the same statistical approach. These findings may help to increase the understanding of the phenotypic variability that typically characterizes bronchiolitis, with relevant implications for future research.
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spelling pubmed-75392842020-10-07 Identification of bronchiolitis profiles in Italian children through the application of latent class analysis Ferrante, Giuliana Fondacaro, Carmela Cilluffo, Giovanna Dones, Piera Cardella, Francesca Corsello, Giovanni Ital J Pediatr Research BACKGROUND: Bronchiolitis is the primary infection of the lower respiratory tract in children under 2 years of age. Although it is generally considered a single nosological entity, recent studies suggested remarkable clinical heterogeneity. To date, no studies have identified classes of children with bronchiolitis within the Italian population. This study aimed to identify discrete profiles of Italian children hospitalized with bronchiolitis using a clustering approach and to compare findings with those obtained in international cohorts. METHODS: This was a retrospective single-centre study conducted on children aged ≤2 years hospitalised with bronchiolitis (n = 401) at the Department of Infectious Diseases and the University Department of General Pediatrics in “Giovanni Di Cristina” Pediatric Hospital of Palermo, Italy, between November 2012 and May 2019. Bronchiolitis profiles were determined by latent class analysis, classifying children based on clinical characteristics at admission and viral aetiology. RESULTS: Three profiles were identified. Class 1 (49%) was composed of 45% male children; all children were aged ≤6 months at hospitalization; 77% were infected with RSV; 100% had respiratory distress, 11% had apnea and none had cough. Class 2 (77%) was mainly composed of male subjects (51%); 19% were aged > 6 months at admission; 37% were infected with RSV; 12% had respiratory distress, 5% had apnea and 90% had cough. Class 3 (19%) included the largest proportion of male subjects (94%) and was mostly composed of children aged > 6 months at the time of admission (68%); 70% had cough, 12% showed respiratory distress and none presented with apnoea. Children in Class 1 were more frequently born near the epidemic season (p = 0.028); breastfeeding duration was significantly longer for children in Class 3 (p = 0.004). CONCLUSIONS: The study identified distinct clinical profiles of bronchiolitis by a clustering approach in a single-centre study of children hospitalised for bronchiolitis in Italy. The three bronchiolitis profiles share some similarities with those identified in international studies using the same statistical approach. These findings may help to increase the understanding of the phenotypic variability that typically characterizes bronchiolitis, with relevant implications for future research. BioMed Central 2020-10-07 /pmc/articles/PMC7539284/ /pubmed/33028377 http://dx.doi.org/10.1186/s13052-020-00914-4 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/. The Creative Commons Public Domain Dedication waiver (http://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
Ferrante, Giuliana
Fondacaro, Carmela
Cilluffo, Giovanna
Dones, Piera
Cardella, Francesca
Corsello, Giovanni
Identification of bronchiolitis profiles in Italian children through the application of latent class analysis
title Identification of bronchiolitis profiles in Italian children through the application of latent class analysis
title_full Identification of bronchiolitis profiles in Italian children through the application of latent class analysis
title_fullStr Identification of bronchiolitis profiles in Italian children through the application of latent class analysis
title_full_unstemmed Identification of bronchiolitis profiles in Italian children through the application of latent class analysis
title_short Identification of bronchiolitis profiles in Italian children through the application of latent class analysis
title_sort identification of bronchiolitis profiles in italian children through the application of latent class analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7539284/
https://www.ncbi.nlm.nih.gov/pubmed/33028377
http://dx.doi.org/10.1186/s13052-020-00914-4
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