ArticleBMC infectious diseases2014
Predictors of fatality in pandemic influenza A (H1N1) virus infection among adults.
Article in BMC infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 19 citations in OpenAlex.
- Risk Factors Associated with 30-Day Mortality in Older Patients with Influenza.Journal of clinical medicine · 2021Article
- Viral Emerging Diseases: Challenges in Developing Vaccination Strategies.Frontiers in immunology · 2020Review
- Possible explanations for why some countries were harder hit by the pandemic influenza virus in 2009 - a global mortality impact modeling study.BMC infectious diseases · 2017Article
- Influenza pathogenicity during pregnancy in women and animal models.Seminars in immunopathology · 2016Review
- An Overview of the 2009 A(H1N1) Pandemic in Europe: Efficiency of the Vaccination and Healthcare Strategies.Journal of healthcare engineering · 2016Review
- On the uniqueness of epidemic models fitting a normalized curve of removed individuals.Journal of mathematical biology · 2015Article
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Authors and funding
33 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe fatality attributed to pandemic influenza A H1N1 was not clear in the literature. We described the predictors for fatality related to pandemic influenza A H1N1 infection among hospitalized adult patients.
methodsThis is a multicenter study performed during the pandemic influenza A H1N1 [A(H1N1)pdm09] outbreak which occurred in 2009 and 2010. Analysis was performed among laboratory confirmed patients. Multivariate analysis was performed for the predictors of fatality.
resultsIn the second wave of the pandemic, 848 adult patients were hospitalized because of suspected influenza, 45 out of 848 (5.3%) died, with 75% of fatalities occurring within the first 2 weeks of hospitalization. Among the 241 laboratory confirmed A(H1N1)pdm09 patients, the case fatality rate was 9%. In a multivariate logistic regression model that was performed for the fatalities within 14 days after admission, early use of neuraminidase inhibitors was found to be protective (Odds ratio: 0.17, confidence interval: 0.03-0.77, p=0.022), nosocomial infections (OR: 5.7, CI: 1.84-18, p=0.013), presence of malignant disease (OR: 3.8, CI: 0.66-22.01, p=0.133) significantly increased the likelihood of fatality.
conclusionsEarly detection of the infection, allowing opportunity for the early use of neuraminidase inhibitors, was found to be important for prevention of fatality. Nosocomial bacterial infections and underlying malignant diseases increased the rate of fatality.
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