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Mortality burden of the 2009‐10 influenza pandemic in the United States: improving the timeliness of influenza severity estimates using inpatient mortality records

BACKGROUND: Delays in the release of national vital statistics hinder timely assessment of influenza severity, especially during pandemics. Inpatient mortality records could provide timelier estimates of influenza‐associated mortality. METHODS: We compiled weekly age‐specific deaths for various caus...

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Autores principales: Charu, Vivek, Simonsen, Lone, Lustig, Roger, Steiner, Claudia, Viboud, Cécile
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3674131/
https://www.ncbi.nlm.nih.gov/pubmed/23419002
http://dx.doi.org/10.1111/irv.12096
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author Charu, Vivek
Simonsen, Lone
Lustig, Roger
Steiner, Claudia
Viboud, Cécile
author_facet Charu, Vivek
Simonsen, Lone
Lustig, Roger
Steiner, Claudia
Viboud, Cécile
author_sort Charu, Vivek
collection PubMed
description BACKGROUND: Delays in the release of national vital statistics hinder timely assessment of influenza severity, especially during pandemics. Inpatient mortality records could provide timelier estimates of influenza‐associated mortality. METHODS: We compiled weekly age‐specific deaths for various causes from US State Inpatient Databases (1990–2010) and national vital statistics (1990–2009). We calculated influenza‐attributable excess deaths by season based on Poisson regression models driven by indicators of respiratory virus activity, seasonality, and temporal trends. RESULTS: Extrapolations of excess mortality from inpatient data fell within 11% and 17% of vital statistics estimates for pandemic and seasonal influenza, respectively, with high year‐to‐year correlation (Spearman's rho = 0·87–0·90, P < 0·001, n = 19). We attribute 14 800 excess respiratory and cardiac deaths (95% CI: 10 000–19 650) to pandemic influenza activity during April 2009–April 2010, 79% of which occurred in people under 65 years. CONCLUSIONS: Modeling inpatient mortality records provides useful estimates of influenza severity in advance of national vital statistics release, capturing both the magnitude and the age distribution of pandemic and epidemic deaths. We provide the first age‐ and cause‐specific estimates of the 2009 pandemic mortality burden using traditional ‘excess mortality’ methods, confirming the unusual burden of this virus in young populations. Our inpatient‐based approach could help monitor mortality trends in other infectious diseases.
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spelling pubmed-36741312014-09-01 Mortality burden of the 2009‐10 influenza pandemic in the United States: improving the timeliness of influenza severity estimates using inpatient mortality records Charu, Vivek Simonsen, Lone Lustig, Roger Steiner, Claudia Viboud, Cécile Influenza Other Respir Viruses Part 2 Pandemic H1N1 Papers BACKGROUND: Delays in the release of national vital statistics hinder timely assessment of influenza severity, especially during pandemics. Inpatient mortality records could provide timelier estimates of influenza‐associated mortality. METHODS: We compiled weekly age‐specific deaths for various causes from US State Inpatient Databases (1990–2010) and national vital statistics (1990–2009). We calculated influenza‐attributable excess deaths by season based on Poisson regression models driven by indicators of respiratory virus activity, seasonality, and temporal trends. RESULTS: Extrapolations of excess mortality from inpatient data fell within 11% and 17% of vital statistics estimates for pandemic and seasonal influenza, respectively, with high year‐to‐year correlation (Spearman's rho = 0·87–0·90, P < 0·001, n = 19). We attribute 14 800 excess respiratory and cardiac deaths (95% CI: 10 000–19 650) to pandemic influenza activity during April 2009–April 2010, 79% of which occurred in people under 65 years. CONCLUSIONS: Modeling inpatient mortality records provides useful estimates of influenza severity in advance of national vital statistics release, capturing both the magnitude and the age distribution of pandemic and epidemic deaths. We provide the first age‐ and cause‐specific estimates of the 2009 pandemic mortality burden using traditional ‘excess mortality’ methods, confirming the unusual burden of this virus in young populations. Our inpatient‐based approach could help monitor mortality trends in other infectious diseases. John Wiley and Sons Inc. 2013-09 2013-02-19 /pmc/articles/PMC3674131/ /pubmed/23419002 http://dx.doi.org/10.1111/irv.12096 Text en © 2013 John Wiley & Sons Ltd
spellingShingle Part 2 Pandemic H1N1 Papers
Charu, Vivek
Simonsen, Lone
Lustig, Roger
Steiner, Claudia
Viboud, Cécile
Mortality burden of the 2009‐10 influenza pandemic in the United States: improving the timeliness of influenza severity estimates using inpatient mortality records
title Mortality burden of the 2009‐10 influenza pandemic in the United States: improving the timeliness of influenza severity estimates using inpatient mortality records
title_full Mortality burden of the 2009‐10 influenza pandemic in the United States: improving the timeliness of influenza severity estimates using inpatient mortality records
title_fullStr Mortality burden of the 2009‐10 influenza pandemic in the United States: improving the timeliness of influenza severity estimates using inpatient mortality records
title_full_unstemmed Mortality burden of the 2009‐10 influenza pandemic in the United States: improving the timeliness of influenza severity estimates using inpatient mortality records
title_short Mortality burden of the 2009‐10 influenza pandemic in the United States: improving the timeliness of influenza severity estimates using inpatient mortality records
title_sort mortality burden of the 2009‐10 influenza pandemic in the united states: improving the timeliness of influenza severity estimates using inpatient mortality records
topic Part 2 Pandemic H1N1 Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3674131/
https://www.ncbi.nlm.nih.gov/pubmed/23419002
http://dx.doi.org/10.1111/irv.12096
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