Predictors of Severity of Influenza-Related Hospitalizations: Results From the Global Influenza Hospital Surveillance Network (GIHSN)
Jazyk angličtina Země Spojené státy americké Médium print
Typ dokumentu časopisecké články
Grantová podpora
Wellcome Trust - United Kingdom
224690/Z/21/Z
Wellcome Trust - United Kingdom
PubMed
37527470
PubMed Central
PMC11011157
DOI
10.1093/infdis/jiad303
PII: 7234909
Knihovny.cz E-zdroje
- Klíčová slova
- disease severity, global health, influenza epidemiology, lower middle-income countries, surveillance,
- MeSH
- chřipka lidská * epidemiologie MeSH
- hospitalizace MeSH
- lidé MeSH
- mortalita v nemocnicích MeSH
- nemocnice MeSH
- virus chřipky A, podtyp H3N2 MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
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.
Arabian Gulf University Manama Bahrain
Brotman Baty Institute University of Washington Seattle Washington USA
Center for Infectious Diseases Research American University of Beirut Beirut Lebanon
Department of Internal Medicine Hacettepe University School of Medicine Ankara Turkey
Department of Medical Education Icahn School of Medicine at Mount Sinai New York New York USA
Faculty of Medicine University of Novi Sad Novi Sad Serbia
Foundation for Influenza Epidemiology Fondation de France Paris France
Hôpital Edouard Herriot Lyon France
Institut Pasteur de Tunis Tunis Tunisia
Institute for Public Health of Vojvodina Novi Sad Serbia
Kenya Medical Research Institute Nairobi Kenya
National Institute for Infectious Diseases Prof Dr Matei Bals Bucharest Romania
National Institute of Public Hygiene Abidjan Côte d'Ivoire
PandemiX Center Department of Science and Environment Roskilde University Denmark
Ready2Respond p o The Task Force for Global Health Decatur Georgia USA
Respiratory Virus Laboratory Virology Department INEI ANLIS Buenos Aires Argentina
School of Public Health Fudan University Shanghai China
Sheri Kashmir Institute of Medical Sciences Srinagar India
Smorodintsev Research Institute of Influenza St Petersburg Russia
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