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Spectrum of clinical and radiographic findings in patients with diagnosis of H1N1 and correlation with clinical severity

BACKGROUND: The aim of this study was to evaluate the correlation between clinical and imaging findings with a worse clinical outcome in patients with a confirmed diagnosis of H1N1 influenza A virus. METHODS: Patients with a positive viral test for influenza A H1N1 in 2016 and chest radiography (CR)...

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Autores principales: Schoen, Karla, Horvat, Natally, Guerreiro, Nicolau F. C., de Castro, Isac, de Giassi, Karina S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6852716/
https://www.ncbi.nlm.nih.gov/pubmed/31718571
http://dx.doi.org/10.1186/s12879-019-4592-0
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author Schoen, Karla
Horvat, Natally
Guerreiro, Nicolau F. C.
de Castro, Isac
de Giassi, Karina S.
author_facet Schoen, Karla
Horvat, Natally
Guerreiro, Nicolau F. C.
de Castro, Isac
de Giassi, Karina S.
author_sort Schoen, Karla
collection PubMed
description BACKGROUND: The aim of this study was to evaluate the correlation between clinical and imaging findings with a worse clinical outcome in patients with a confirmed diagnosis of H1N1 influenza A virus. METHODS: Patients with a positive viral test for influenza A H1N1 in 2016 and chest radiography (CR) and/or computed tomography (CT) results had clinical and imaging data reviewed. Hospitalization, admission to the intensive care unit or death were defined as worse clinical outcomes. The association between clinical and imaging features and the worse outcome was calculated in a logistical regression model. RESULTS: Eighty of 160 (50%) patients were men, with a mean age of 43 ± 19 years. The most common symptoms were as follows: flu-like symptoms 141/160 (88%), dyspnea (25/160, 17%), and thoracic pain (7/160, 5%). Abnormalities on CR were detected in 8/110 (7%) patients, and 43/59 (73%) patients had an abnormal CT. The following variables were associated with worse clinical outcomes: the presence of diabetes mellitus (DM), hypertension, dyspnea, thoracic pain, abnormal CR or CT regardless of the type of finding, CT with consolidation or ground glass opacity. CONCLUSIONS: The presence of DM, hypertension, dyspnea, thoracic pain, or an abnormal CR or CT on admission were associated with worse clinical outcomes in patients with H1N1 influenza A virus infection. Thus, the use of readily accessible clinical and imaging features on admission may have a role in the evaluation of patients with H1N1 infection.
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spelling pubmed-68527162019-11-20 Spectrum of clinical and radiographic findings in patients with diagnosis of H1N1 and correlation with clinical severity Schoen, Karla Horvat, Natally Guerreiro, Nicolau F. C. de Castro, Isac de Giassi, Karina S. BMC Infect Dis Research Article BACKGROUND: The aim of this study was to evaluate the correlation between clinical and imaging findings with a worse clinical outcome in patients with a confirmed diagnosis of H1N1 influenza A virus. METHODS: Patients with a positive viral test for influenza A H1N1 in 2016 and chest radiography (CR) and/or computed tomography (CT) results had clinical and imaging data reviewed. Hospitalization, admission to the intensive care unit or death were defined as worse clinical outcomes. The association between clinical and imaging features and the worse outcome was calculated in a logistical regression model. RESULTS: Eighty of 160 (50%) patients were men, with a mean age of 43 ± 19 years. The most common symptoms were as follows: flu-like symptoms 141/160 (88%), dyspnea (25/160, 17%), and thoracic pain (7/160, 5%). Abnormalities on CR were detected in 8/110 (7%) patients, and 43/59 (73%) patients had an abnormal CT. The following variables were associated with worse clinical outcomes: the presence of diabetes mellitus (DM), hypertension, dyspnea, thoracic pain, abnormal CR or CT regardless of the type of finding, CT with consolidation or ground glass opacity. CONCLUSIONS: The presence of DM, hypertension, dyspnea, thoracic pain, or an abnormal CR or CT on admission were associated with worse clinical outcomes in patients with H1N1 influenza A virus infection. Thus, the use of readily accessible clinical and imaging features on admission may have a role in the evaluation of patients with H1N1 infection. BioMed Central 2019-11-12 /pmc/articles/PMC6852716/ /pubmed/31718571 http://dx.doi.org/10.1186/s12879-019-4592-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
Schoen, Karla
Horvat, Natally
Guerreiro, Nicolau F. C.
de Castro, Isac
de Giassi, Karina S.
Spectrum of clinical and radiographic findings in patients with diagnosis of H1N1 and correlation with clinical severity
title Spectrum of clinical and radiographic findings in patients with diagnosis of H1N1 and correlation with clinical severity
title_full Spectrum of clinical and radiographic findings in patients with diagnosis of H1N1 and correlation with clinical severity
title_fullStr Spectrum of clinical and radiographic findings in patients with diagnosis of H1N1 and correlation with clinical severity
title_full_unstemmed Spectrum of clinical and radiographic findings in patients with diagnosis of H1N1 and correlation with clinical severity
title_short Spectrum of clinical and radiographic findings in patients with diagnosis of H1N1 and correlation with clinical severity
title_sort spectrum of clinical and radiographic findings in patients with diagnosis of h1n1 and correlation with clinical severity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6852716/
https://www.ncbi.nlm.nih.gov/pubmed/31718571
http://dx.doi.org/10.1186/s12879-019-4592-0
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