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Vital sign predictors of severe influenza among children in an emergent care setting
BACKGROUND: Decisions regarding the evaluation of children with influenza infection rely on the likelihood of severe disease. The role of early vital signs as predictors of severe influenza infection in children is not well known. Our objectives were to determine the value of vital signs in predicti...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374253/ https://www.ncbi.nlm.nih.gov/pubmed/35960719 http://dx.doi.org/10.1371/journal.pone.0272029 |
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author | Rao, Suchitra Moss, Angela Lamb, Molly Innis, Bruce L. Asturias, Edwin J. |
author_facet | Rao, Suchitra Moss, Angela Lamb, Molly Innis, Bruce L. Asturias, Edwin J. |
author_sort | Rao, Suchitra |
collection | PubMed |
description | BACKGROUND: Decisions regarding the evaluation of children with influenza infection rely on the likelihood of severe disease. The role of early vital signs as predictors of severe influenza infection in children is not well known. Our objectives were to determine the value of vital signs in predicting hospitalization/recurrent emergency department (ED) visits due to influenza infection in children. METHODS: We conducted a prospective study of children aged 6 months to 8 years of age with influenza like illness evaluated at an ED/UC from 2016–2018. All children underwent influenza testing by PCR. We collected heart rate, respiratory rate and temperature, and converted heart rate (HR) and respiratory rate (RR) to z-scores by age. HR z scores were further adjusted for temperature. Our primary outcome was hospitalization/recurrent ED visits within 72 hours. Vital sign predictors with p< 0.2 and other clinical covariates were entered into a multivariable logistic regression model to determine odds ratios (OR) and 95% CI; model performance was assessed using the Brier score and discriminative ability with the C statistic. RESULTS: Among 1478 children, 411 (27.8%) were positive for influenza, of which 42 (10.2%) were hospitalized or had a recurrent ED visit. In multivariable analyses, adjusting for age, high-risk medical condition and school/daycare attendance, higher adjusted respiratory rate (OR 2.09, 95%CI 1.21–3.61, p = 0.0085) was a significant predictor of influenza hospitalization/recurrent ED visits. CONCLUSIONS: Higher respiratory rate adjusted for age was the most useful vital sign predictor of severity among young children with PCR-confirmed influenza. |
format | Online Article Text |
id | pubmed-9374253 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-93742532022-08-13 Vital sign predictors of severe influenza among children in an emergent care setting Rao, Suchitra Moss, Angela Lamb, Molly Innis, Bruce L. Asturias, Edwin J. PLoS One Research Article BACKGROUND: Decisions regarding the evaluation of children with influenza infection rely on the likelihood of severe disease. The role of early vital signs as predictors of severe influenza infection in children is not well known. Our objectives were to determine the value of vital signs in predicting hospitalization/recurrent emergency department (ED) visits due to influenza infection in children. METHODS: We conducted a prospective study of children aged 6 months to 8 years of age with influenza like illness evaluated at an ED/UC from 2016–2018. All children underwent influenza testing by PCR. We collected heart rate, respiratory rate and temperature, and converted heart rate (HR) and respiratory rate (RR) to z-scores by age. HR z scores were further adjusted for temperature. Our primary outcome was hospitalization/recurrent ED visits within 72 hours. Vital sign predictors with p< 0.2 and other clinical covariates were entered into a multivariable logistic regression model to determine odds ratios (OR) and 95% CI; model performance was assessed using the Brier score and discriminative ability with the C statistic. RESULTS: Among 1478 children, 411 (27.8%) were positive for influenza, of which 42 (10.2%) were hospitalized or had a recurrent ED visit. In multivariable analyses, adjusting for age, high-risk medical condition and school/daycare attendance, higher adjusted respiratory rate (OR 2.09, 95%CI 1.21–3.61, p = 0.0085) was a significant predictor of influenza hospitalization/recurrent ED visits. CONCLUSIONS: Higher respiratory rate adjusted for age was the most useful vital sign predictor of severity among young children with PCR-confirmed influenza. Public Library of Science 2022-08-12 /pmc/articles/PMC9374253/ /pubmed/35960719 http://dx.doi.org/10.1371/journal.pone.0272029 Text en © 2022 Rao et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Rao, Suchitra Moss, Angela Lamb, Molly Innis, Bruce L. Asturias, Edwin J. Vital sign predictors of severe influenza among children in an emergent care setting |
title | Vital sign predictors of severe influenza among children in an emergent care setting |
title_full | Vital sign predictors of severe influenza among children in an emergent care setting |
title_fullStr | Vital sign predictors of severe influenza among children in an emergent care setting |
title_full_unstemmed | Vital sign predictors of severe influenza among children in an emergent care setting |
title_short | Vital sign predictors of severe influenza among children in an emergent care setting |
title_sort | vital sign predictors of severe influenza among children in an emergent care setting |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374253/ https://www.ncbi.nlm.nih.gov/pubmed/35960719 http://dx.doi.org/10.1371/journal.pone.0272029 |
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