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Global Influenza Hospital-based Surveillance Network (GIHSN): results of surveillance of influenza and other respiratory viruses in hospitalised patients in Brazil, 2015

BACKGROUND: Influenza-like illness occurs annually worldwide, with peak timing and severity varying seasonally, resulting in significant annual mortality. OBJECTIVES: There were three objectives: (1) to describe the epidemiological and clinical features of hospitalised patients with severe acute res...

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Autores principales: Raboni, Sonia M, Moura, Fernanda EA, Caetano, Braulia C, Avanzi, Valéria M, Pereira, Luciane A, Nogueira, Meri B, Vidal, Luine R, Tavares, Isabel CF, Pradel, Florence K, Picot, Valentina S, Puig-Barbera, Joan, Siqueira, Marilda M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829850/
https://www.ncbi.nlm.nih.gov/pubmed/29449287
http://dx.doi.org/10.1136/bmjopen-2017-017603
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author Raboni, Sonia M
Moura, Fernanda EA
Caetano, Braulia C
Avanzi, Valéria M
Pereira, Luciane A
Nogueira, Meri B
Vidal, Luine R
Tavares, Isabel CF
Pradel, Florence K
Picot, Valentina S
Puig-Barbera, Joan
Siqueira, Marilda M
author_facet Raboni, Sonia M
Moura, Fernanda EA
Caetano, Braulia C
Avanzi, Valéria M
Pereira, Luciane A
Nogueira, Meri B
Vidal, Luine R
Tavares, Isabel CF
Pradel, Florence K
Picot, Valentina S
Puig-Barbera, Joan
Siqueira, Marilda M
author_sort Raboni, Sonia M
collection PubMed
description BACKGROUND: Influenza-like illness occurs annually worldwide, with peak timing and severity varying seasonally, resulting in significant annual mortality. OBJECTIVES: There were three objectives: (1) to describe the epidemiological and clinical features of hospitalised patients with severe acute respiratory infection caused by influenza and other respiratory viruses (ORVs); (2) to report the influenza seasonality in the region and (3) to correlate findings of influenza circulation and immunisation time in Brazil. PATIENTS/METHODS: This study took place in three Brazilian hospitals located in cities with different climatic conditions (Curitiba (south), Rio de Janeiro (south-east) and Fortaleza (north-east)). Patients presenting with an acute process with indication for admission consisting of a predefined set of conditions potentially associated with recent influenza infection were enrolled. RESULTS: We screened 1666 patients, with 595 meeting the inclusion criteria. Influenza viruses and ORVs were detected in 6.5% and 59% of patients, respectively. Influenza-positive cases fell into the severe spectrum as compared with those with ORVs (30% vs 11%), but without any difference in mortality rates. Epidemiological results revealed variations in the peak time of influenza infections between north-east (Fortaleza) and south (Curitiba) Brazil, basically following the rain period of each region. In north-east Brazil, viral circulation was prevalent in the first 4 months of the year, indicating that the vaccination campaign occurred in a postseasonal period, possibly explaining the low effectiveness. CONCLUSIONS: The active-surveillance model is a valuable tool for investigating respiratory virus impact on hospitalised patients, with influenza-infection monitoring enabling implementation of adequate preventive measures.
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spelling pubmed-58298502018-03-01 Global Influenza Hospital-based Surveillance Network (GIHSN): results of surveillance of influenza and other respiratory viruses in hospitalised patients in Brazil, 2015 Raboni, Sonia M Moura, Fernanda EA Caetano, Braulia C Avanzi, Valéria M Pereira, Luciane A Nogueira, Meri B Vidal, Luine R Tavares, Isabel CF Pradel, Florence K Picot, Valentina S Puig-Barbera, Joan Siqueira, Marilda M BMJ Open Infectious Diseases BACKGROUND: Influenza-like illness occurs annually worldwide, with peak timing and severity varying seasonally, resulting in significant annual mortality. OBJECTIVES: There were three objectives: (1) to describe the epidemiological and clinical features of hospitalised patients with severe acute respiratory infection caused by influenza and other respiratory viruses (ORVs); (2) to report the influenza seasonality in the region and (3) to correlate findings of influenza circulation and immunisation time in Brazil. PATIENTS/METHODS: This study took place in three Brazilian hospitals located in cities with different climatic conditions (Curitiba (south), Rio de Janeiro (south-east) and Fortaleza (north-east)). Patients presenting with an acute process with indication for admission consisting of a predefined set of conditions potentially associated with recent influenza infection were enrolled. RESULTS: We screened 1666 patients, with 595 meeting the inclusion criteria. Influenza viruses and ORVs were detected in 6.5% and 59% of patients, respectively. Influenza-positive cases fell into the severe spectrum as compared with those with ORVs (30% vs 11%), but without any difference in mortality rates. Epidemiological results revealed variations in the peak time of influenza infections between north-east (Fortaleza) and south (Curitiba) Brazil, basically following the rain period of each region. In north-east Brazil, viral circulation was prevalent in the first 4 months of the year, indicating that the vaccination campaign occurred in a postseasonal period, possibly explaining the low effectiveness. CONCLUSIONS: The active-surveillance model is a valuable tool for investigating respiratory virus impact on hospitalised patients, with influenza-infection monitoring enabling implementation of adequate preventive measures. BMJ Publishing Group 2018-02-15 /pmc/articles/PMC5829850/ /pubmed/29449287 http://dx.doi.org/10.1136/bmjopen-2017-017603 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Infectious Diseases
Raboni, Sonia M
Moura, Fernanda EA
Caetano, Braulia C
Avanzi, Valéria M
Pereira, Luciane A
Nogueira, Meri B
Vidal, Luine R
Tavares, Isabel CF
Pradel, Florence K
Picot, Valentina S
Puig-Barbera, Joan
Siqueira, Marilda M
Global Influenza Hospital-based Surveillance Network (GIHSN): results of surveillance of influenza and other respiratory viruses in hospitalised patients in Brazil, 2015
title Global Influenza Hospital-based Surveillance Network (GIHSN): results of surveillance of influenza and other respiratory viruses in hospitalised patients in Brazil, 2015
title_full Global Influenza Hospital-based Surveillance Network (GIHSN): results of surveillance of influenza and other respiratory viruses in hospitalised patients in Brazil, 2015
title_fullStr Global Influenza Hospital-based Surveillance Network (GIHSN): results of surveillance of influenza and other respiratory viruses in hospitalised patients in Brazil, 2015
title_full_unstemmed Global Influenza Hospital-based Surveillance Network (GIHSN): results of surveillance of influenza and other respiratory viruses in hospitalised patients in Brazil, 2015
title_short Global Influenza Hospital-based Surveillance Network (GIHSN): results of surveillance of influenza and other respiratory viruses in hospitalised patients in Brazil, 2015
title_sort global influenza hospital-based surveillance network (gihsn): results of surveillance of influenza and other respiratory viruses in hospitalised patients in brazil, 2015
topic Infectious Diseases
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829850/
https://www.ncbi.nlm.nih.gov/pubmed/29449287
http://dx.doi.org/10.1136/bmjopen-2017-017603
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