Predictors of Severity of Influenza-Related Hospitalizations: Results From the Global Influenza Hospital Surveillance Network (GIHSN)

Background. 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 r...

Full description

Bibliographic Details
Authors: Cohen LE, Hansen CL, Andrew MK, McNeil SA, Vanhems P, Kyncl J, Díez Domingo J, Zhang T, Dbaibo G, Laguna-Torres VA, Draganescu A, Baumeister E, Gomez D, Raboni SM, Giamberardino HIG, Nunes MC, Burtseva E, Sominina A, Medic S, Coulibaly D, Ben Salah A, Otieno NA, Koul PA, Unal S, Durusu Tanriover M, Mazur M, Bresee J, Viboud C, Chaves SS
Format: article
Status:Published version
Publication Date:2024
Country:España
Institution:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
Repository:r-FISABIO. Repositorio Institucional de Producción Científica
OAI Identifier:oai:fisabio.fundanetsuite.com:p15486
Online Access:https://fisabio.portalinvestigacion.com/publicaciones/15486
Access Level:Open access
Keyword:lower middle-income countries
disease severity
global health
influenza epidemiology
surveillance
Description
Summary:Background. 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.

Similar Items