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. 2024 Apr 12;229(4):999-1009.
doi: 10.1093/infdis/jiad303.

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

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

Lily E Cohen et al. J Infect Dis. .

Abstract

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 influenza-related 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.

Keywords: disease severity; global health; influenza epidemiology; lower middle-income countries; surveillance.

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Conflict of interest statement

Potential conflicts of interest . All authors: No reported conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

Figures

Figure 1.
Figure 1.
Geographic distribution of sites collaborating in the Global Influenza Hospital Surveillance Network (GIHSN), 2012–2019 influenza seasons.
Figure 2.
Figure 2.
A, Median proportion (dots) and range (bars) of the percent positivity for influenza by season (A) or month (B) and country income level. Data from the Global Influenza Hospital Surveillance Network (GIHSN), 2012–2019.
Figure 3.
Figure 3.
A, Distribution of influenza-positive hospitalizations by coordinating site and country income level, along with influenza type (A), number of patient comorbid conditions (B), and age group (C). Data from the Global Influenza Hospital Surveillance Network (GIHSN), 2012–2019.
Figure 4.
Figure 4.
Severity outcomes among patients hospitalized with laboratory-confirmed influenza, by age group, influenza type, and country income level, Global Influenza Hospital Surveillance Network (GIHSN), 2012–2019. The y-axis depicts the percentage of patients with severe clinical outcomes.
Figure 5.
Figure 5.
Risk factors for intensive care unit (ICU) admission (A), mechanical ventilation (including extracorporeal membrane oxygenation) (B), and in-hospital death (C) among patients hospitalized with laboratory-confirmed influenza. Abbreviations: CI, confidence interval; OR, odds ratio.

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