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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30303 - Infectious Diseases

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Journal of Infectious Diseases

ISSN

0022-1899

e-ISSN

1537-6613

Svazek periodika

229

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

999-1009

Kód UT WoS článku

001064090900001

EID výsledku v databázi Scopus

2-s2.0-85185448470