tetano
Editor, Senior Moderator
BMJ Open. 2018 Feb 15;8(2):e017603. doi: 10.1136/bmjopen-2017-017603.
[h=1]Global Influenza Hospital-based Surveillance Network (GIHSN): results of surveillance of influenza and other respiratory viruses in hospitalised patients in Brazil, 2015.[/h] Raboni SM[SUP]1,[/SUP][SUP]2[/SUP], Moura FEA[SUP]3[/SUP], Caetano BC[SUP]4[/SUP], Avanzi VM[SUP]5[/SUP], Pereira LA[SUP]2[/SUP], Nogueira MB[SUP]2[/SUP], Vidal LR[SUP]2[/SUP], Tavares ICF[SUP]6,[/SUP][SUP]7[/SUP], Pradel FK[SUP]8[/SUP], Picot VS[SUP]8[/SUP], Puig-Barbera J[SUP]9[/SUP], Siqueira MM[SUP]4[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] [h=4]BACKGROUND:[/h] Influenza-like illness occurs annually worldwide, with peak timing and severity varying seasonally, resulting in significant annual mortality.
[h=4]OBJECTIVES:[/h] 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.
[h=4]PATIENTS/METHODS:[/h] 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.
[h=4]RESULTS:[/h] 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.
[h=4]CONCLUSIONS:[/h] 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.
? 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.
[h=4]KEYWORDS:[/h] hospital admissions; influenza; seasonality; severe acute respiratory infection; vaccination; viral respiratory infection
PMID: 29449287 DOI: 10.1136/bmjopen-2017-017603
[h=1]Global Influenza Hospital-based Surveillance Network (GIHSN): results of surveillance of influenza and other respiratory viruses in hospitalised patients in Brazil, 2015.[/h] Raboni SM[SUP]1,[/SUP][SUP]2[/SUP], Moura FEA[SUP]3[/SUP], Caetano BC[SUP]4[/SUP], Avanzi VM[SUP]5[/SUP], Pereira LA[SUP]2[/SUP], Nogueira MB[SUP]2[/SUP], Vidal LR[SUP]2[/SUP], Tavares ICF[SUP]6,[/SUP][SUP]7[/SUP], Pradel FK[SUP]8[/SUP], Picot VS[SUP]8[/SUP], Puig-Barbera J[SUP]9[/SUP], Siqueira MM[SUP]4[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] [h=4]BACKGROUND:[/h] Influenza-like illness occurs annually worldwide, with peak timing and severity varying seasonally, resulting in significant annual mortality.
[h=4]OBJECTIVES:[/h] 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.
[h=4]PATIENTS/METHODS:[/h] 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.
[h=4]RESULTS:[/h] 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.
[h=4]CONCLUSIONS:[/h] 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.
? 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.
[h=4]KEYWORDS:[/h] hospital admissions; influenza; seasonality; severe acute respiratory infection; vaccination; viral respiratory infection
PMID: 29449287 DOI: 10.1136/bmjopen-2017-017603