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Predictors of severity of influenza-related hospitalizations: results from the Global Influenza Hospital Surveillance Network (GIHSN)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75010330%3A_____%2F23%3A00014390" target="_blank" >RIV/75010330:_____/23:00014390 - isvavai.cz</a>

  • Result on the web

    <a href="https://academic.oup.com/jid/advance-article/doi/10.1093/infdis/jiad303/7234909" target="_blank" >https://academic.oup.com/jid/advance-article/doi/10.1093/infdis/jiad303/7234909</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/infdis/jiad303" target="_blank" >10.1093/infdis/jiad303</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predictors of severity of influenza-related hospitalizations: results from the Global Influenza Hospital Surveillance Network (GIHSN)

  • Original language description

    The Global Influenza Hospital Surveillance Network (GIHSN) has since 2012 provided patient-level data on severe influenza-like-illnesses from >100 participating clinical sites worldwide based on a core protocol and consistent case definitions. Methods. We used multivariable logistic regression to assess the risk of intensive care unit admission, mechanical ventilation, and in-hospital death among hospitalized patients with influenza and explored the role of patient-level covariates and country income level. Results. The data set included 73 121 patients hospitalized with respiratory illness in 22 countries, including 15 660 with laboratory-confirmed influenza. After adjusting for patient-level covariates we found a 7-fold increase in the risk of influenzarelated intensive care unit admission in lower middle-income countries (LMICs), compared with high-income countries (P =.01). The risk of mechanical ventilation and in-hospital death also increased by 4-fold in LMICs, though these differences were not statistically significant. We also find that influenza mortality increased significantly with older age and number of comorbid conditions. Across all severity outcomes studied and after controlling for patient characteristics, infection with influenza A/H1N1pdm09 was more severe than with A/H3N2. Conclusions. Our study provides new information on influenza severity in underresourced populations, particularly those in LMICs.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30303 - Infectious Diseases

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Infectious Diseases

  • ISSN

    0022-1899

  • e-ISSN

    1537-6613

  • Volume of the periodical

    229

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    11

  • Pages from-to

    999-1009

  • UT code for WoS article

    001064090900001

  • EID of the result in the Scopus database

    2-s2.0-85185448470