Cargando…

2319. Clinical Predictors of Influenza and Hospitalization of Children with Influenza in an Emergent Care Setting

BACKGROUND: Objective measures utilizing early vital sign data show promise in predicting more severe outcomes among adults with influenza, but data are sparse in children. The objectives of this study were to determine the value of vital signs in predicting influenza infection or hospitalization du...

Descripción completa

Detalles Bibliográficos
Autores principales: Rao, Suchitra, Lamb, Molly, Moss, Angela, Yanni, Emad, Bekkat-Berkani, Rafik, Schuind, Anne, Innis, Bruce, Asturias, Edwin J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809758/
http://dx.doi.org/10.1093/ofid/ofz360.1997
_version_ 1783462074902380544
author Rao, Suchitra
Lamb, Molly
Moss, Angela
Yanni, Emad
Bekkat-Berkani, Rafik
Schuind, Anne
Innis, Bruce
Asturias, Edwin J
author_facet Rao, Suchitra
Lamb, Molly
Moss, Angela
Yanni, Emad
Bekkat-Berkani, Rafik
Schuind, Anne
Innis, Bruce
Asturias, Edwin J
author_sort Rao, Suchitra
collection PubMed
description BACKGROUND: Objective measures utilizing early vital sign data show promise in predicting more severe outcomes among adults with influenza, but data are sparse in children. The objectives of this study were to determine the value of vital signs in predicting influenza infection or hospitalization due to influenza infection among children evaluated in an emergency department (ED) or urgent care (UC) setting in Colorado. METHODS: We evaluated vital signs obtained from a prospective cohort study of children aged 6 months to 8 years of age with influenza like illness evaluated at an ED/UC site in Aurora, CO from 2016–2018, and who underwent influenza testing by PCR. We collected the first set of vital signs, peak heart 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. Bivariable analyses for each vital sign as a predictor of influenza-related hospitalization and influenza infection as main outcomes were conducted. Predictors with P < 0.2 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 were positive for influenza, of which 28 were hospitalized. In multivariable analyses, among children with influenza infection, lower initial oxygen saturation (OR 0.87, 95% CI 0.78–0.98, P = 0.026) and higher adjusted respiratory rate (OR 2.09, 95% CI 1.21–3.61, P = 0.0085) were significant predictors of hospitalization (Figure 1). Among children with ILI, higher peak temperature (OR 1.46, 95% CI 1.30–1.63, P < 0.0001), lower adjusted peak heart rate (OR 0.79, 95% CI 0.69–0.90, P = 0.0005), higher initial oxygen saturation (OR 1.07, 95% CI 1.03–1.12 P = 0.002) and lower adjusted respiratory rate (OR 0.74, 95% CI 0.64–0.87, P = 0.0002) were significant predictors for having PCR-confirmed influenza. However, this model had poor calibration and discriminatory ability. CONCLUSION: Higher respiratory rate adjusted for age and lower initial oxygen saturation were significant predictors of hospitalization among young children with PCR-confirmed influenza, but were not reliable discriminators of having influenza infection. [Image: see text] DISCLOSURES: All authors: No reported disclosures.
format Online
Article
Text
id pubmed-6809758
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-68097582019-10-28 2319. Clinical Predictors of Influenza and Hospitalization of Children with Influenza in an Emergent Care Setting Rao, Suchitra Lamb, Molly Moss, Angela Yanni, Emad Bekkat-Berkani, Rafik Schuind, Anne Innis, Bruce Asturias, Edwin J Open Forum Infect Dis Abstracts BACKGROUND: Objective measures utilizing early vital sign data show promise in predicting more severe outcomes among adults with influenza, but data are sparse in children. The objectives of this study were to determine the value of vital signs in predicting influenza infection or hospitalization due to influenza infection among children evaluated in an emergency department (ED) or urgent care (UC) setting in Colorado. METHODS: We evaluated vital signs obtained from a prospective cohort study of children aged 6 months to 8 years of age with influenza like illness evaluated at an ED/UC site in Aurora, CO from 2016–2018, and who underwent influenza testing by PCR. We collected the first set of vital signs, peak heart 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. Bivariable analyses for each vital sign as a predictor of influenza-related hospitalization and influenza infection as main outcomes were conducted. Predictors with P < 0.2 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 were positive for influenza, of which 28 were hospitalized. In multivariable analyses, among children with influenza infection, lower initial oxygen saturation (OR 0.87, 95% CI 0.78–0.98, P = 0.026) and higher adjusted respiratory rate (OR 2.09, 95% CI 1.21–3.61, P = 0.0085) were significant predictors of hospitalization (Figure 1). Among children with ILI, higher peak temperature (OR 1.46, 95% CI 1.30–1.63, P < 0.0001), lower adjusted peak heart rate (OR 0.79, 95% CI 0.69–0.90, P = 0.0005), higher initial oxygen saturation (OR 1.07, 95% CI 1.03–1.12 P = 0.002) and lower adjusted respiratory rate (OR 0.74, 95% CI 0.64–0.87, P = 0.0002) were significant predictors for having PCR-confirmed influenza. However, this model had poor calibration and discriminatory ability. CONCLUSION: Higher respiratory rate adjusted for age and lower initial oxygen saturation were significant predictors of hospitalization among young children with PCR-confirmed influenza, but were not reliable discriminators of having influenza infection. [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6809758/ http://dx.doi.org/10.1093/ofid/ofz360.1997 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Rao, Suchitra
Lamb, Molly
Moss, Angela
Yanni, Emad
Bekkat-Berkani, Rafik
Schuind, Anne
Innis, Bruce
Asturias, Edwin J
2319. Clinical Predictors of Influenza and Hospitalization of Children with Influenza in an Emergent Care Setting
title 2319. Clinical Predictors of Influenza and Hospitalization of Children with Influenza in an Emergent Care Setting
title_full 2319. Clinical Predictors of Influenza and Hospitalization of Children with Influenza in an Emergent Care Setting
title_fullStr 2319. Clinical Predictors of Influenza and Hospitalization of Children with Influenza in an Emergent Care Setting
title_full_unstemmed 2319. Clinical Predictors of Influenza and Hospitalization of Children with Influenza in an Emergent Care Setting
title_short 2319. Clinical Predictors of Influenza and Hospitalization of Children with Influenza in an Emergent Care Setting
title_sort 2319. clinical predictors of influenza and hospitalization of children with influenza in an emergent care setting
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809758/
http://dx.doi.org/10.1093/ofid/ofz360.1997
work_keys_str_mv AT raosuchitra 2319clinicalpredictorsofinfluenzaandhospitalizationofchildrenwithinfluenzainanemergentcaresetting
AT lambmolly 2319clinicalpredictorsofinfluenzaandhospitalizationofchildrenwithinfluenzainanemergentcaresetting
AT mossangela 2319clinicalpredictorsofinfluenzaandhospitalizationofchildrenwithinfluenzainanemergentcaresetting
AT yanniemad 2319clinicalpredictorsofinfluenzaandhospitalizationofchildrenwithinfluenzainanemergentcaresetting
AT bekkatberkanirafik 2319clinicalpredictorsofinfluenzaandhospitalizationofchildrenwithinfluenzainanemergentcaresetting
AT schuindanne 2319clinicalpredictorsofinfluenzaandhospitalizationofchildrenwithinfluenzainanemergentcaresetting
AT innisbruce 2319clinicalpredictorsofinfluenzaandhospitalizationofchildrenwithinfluenzainanemergentcaresetting
AT asturiasedwinj 2319clinicalpredictorsofinfluenzaandhospitalizationofchildrenwithinfluenzainanemergentcaresetting