Cargando…

The severity of pandemic H1N1 influenza in the United States, April – July 2009

Background Accurate measures of the severity of pandemic influenza A/H1N1 (pH1N1) are needed to assess the likely impact of an anticipated resurgence in the autumn in the Northern Hemisphere. Severity has been difficult to measure because jurisdictions with large numbers of deaths and other severe o...

Descripción completa

Detalles Bibliográficos
Autores principales: Presanis, Anne M, Lipsitch, Marc, Daniela De Angelis, Hagy, Angie, Reed, Carrie, Riley, Steven, Cooper, Ben, Biedrzycki, Paul, Finelli, Lyn, B, Jade
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2762775/
https://www.ncbi.nlm.nih.gov/pubmed/20029614
http://dx.doi.org/10.1371/currents.RRN1042
_version_ 1782172952402329600
author Presanis, Anne M
Lipsitch, Marc
Daniela De Angelis,
Hagy, Angie
Reed, Carrie
Riley, Steven
Cooper, Ben
Biedrzycki, Paul
Finelli, Lyn
B, Jade
author_facet Presanis, Anne M
Lipsitch, Marc
Daniela De Angelis,
Hagy, Angie
Reed, Carrie
Riley, Steven
Cooper, Ben
Biedrzycki, Paul
Finelli, Lyn
B, Jade
author_sort Presanis, Anne M
collection PubMed
description Background Accurate measures of the severity of pandemic influenza A/H1N1 (pH1N1) are needed to assess the likely impact of an anticipated resurgence in the autumn in the Northern Hemisphere. Severity has been difficult to measure because jurisdictions with large numbers of deaths and other severe outcomes have had too many cases to assess the total number with confidence. Also, detection of severe cases may be more likely. Methods and Findings We used complementary data from two US cities: Milwaukee attempted to identify cases of medically attended infection whether or not they required hospitalization, while New York City focused on the identification of hospitalizations, intensive care admission or mechanical ventilation (hereafter, ICU), and deaths. New York data were used to estimate numerators for ICU and death, and two sources of data: medically attended cases in Milwaukee or self-reported influenza-like illness in New York, were used to estimate ratios of symptomatic cases:hospitalizations. Combining these data with estimates of the fraction detected for each level of severity, we estimated the proportion of symptomatic cases that died (symptomatic case-fatality ratio, sCFR), required ICU (sCIR), and required hospitalization (sCHR), overall and by age category. Evidence, prior information and associated uncertainty were analyzed in a Bayesian evidence synthesis framework. Using medically attended cases and estimates of the proportion of symptomatic cases medically attended, we estimated sCFR of 0.048% (95% credible interval, CI 0.026%-0.096%), sCIR of 0.239% (0.134%-0.458%), and sCHR of 1.44% (0.83%-2.64%). Using self-reported ILI, we obtained estimates approximately 7-9x lower. sCFR and sCIR appear to be highest in persons 18 and older, and lowest in children 5-17. sCHR appears to be lowest in persons 5-17; our data were too sparse to allow us to determine the group in which it was the highest. Conclusions These estimates suggest that an autumn-winter pandemic wave of pH1N1 with comparable severity per case could lead to a number of deaths in the range from considerably below that associated with seasonal influenza to slightly higher, but with greatest impact in young children and non-elderly adults. These estimates of impact depend on assumptions about total incidence of infection and would be larger if incidence of symptomatic infection were higher or shifted toward adults, if viral virulence increased, or if suboptimal treatment resulted from stress on the health care system; numbers would decrease if the proportion infected or symptomatic were lower.
format Text
id pubmed-2762775
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-27627752009-11-10 The severity of pandemic H1N1 influenza in the United States, April – July 2009 Presanis, Anne M Lipsitch, Marc Daniela De Angelis, Hagy, Angie Reed, Carrie Riley, Steven Cooper, Ben Biedrzycki, Paul Finelli, Lyn B, Jade PLoS Curr Influenza Background Accurate measures of the severity of pandemic influenza A/H1N1 (pH1N1) are needed to assess the likely impact of an anticipated resurgence in the autumn in the Northern Hemisphere. Severity has been difficult to measure because jurisdictions with large numbers of deaths and other severe outcomes have had too many cases to assess the total number with confidence. Also, detection of severe cases may be more likely. Methods and Findings We used complementary data from two US cities: Milwaukee attempted to identify cases of medically attended infection whether or not they required hospitalization, while New York City focused on the identification of hospitalizations, intensive care admission or mechanical ventilation (hereafter, ICU), and deaths. New York data were used to estimate numerators for ICU and death, and two sources of data: medically attended cases in Milwaukee or self-reported influenza-like illness in New York, were used to estimate ratios of symptomatic cases:hospitalizations. Combining these data with estimates of the fraction detected for each level of severity, we estimated the proportion of symptomatic cases that died (symptomatic case-fatality ratio, sCFR), required ICU (sCIR), and required hospitalization (sCHR), overall and by age category. Evidence, prior information and associated uncertainty were analyzed in a Bayesian evidence synthesis framework. Using medically attended cases and estimates of the proportion of symptomatic cases medically attended, we estimated sCFR of 0.048% (95% credible interval, CI 0.026%-0.096%), sCIR of 0.239% (0.134%-0.458%), and sCHR of 1.44% (0.83%-2.64%). Using self-reported ILI, we obtained estimates approximately 7-9x lower. sCFR and sCIR appear to be highest in persons 18 and older, and lowest in children 5-17. sCHR appears to be lowest in persons 5-17; our data were too sparse to allow us to determine the group in which it was the highest. Conclusions These estimates suggest that an autumn-winter pandemic wave of pH1N1 with comparable severity per case could lead to a number of deaths in the range from considerably below that associated with seasonal influenza to slightly higher, but with greatest impact in young children and non-elderly adults. These estimates of impact depend on assumptions about total incidence of infection and would be larger if incidence of symptomatic infection were higher or shifted toward adults, if viral virulence increased, or if suboptimal treatment resulted from stress on the health care system; numbers would decrease if the proportion infected or symptomatic were lower. Public Library of Science 2010-04-19 /pmc/articles/PMC2762775/ /pubmed/20029614 http://dx.doi.org/10.1371/currents.RRN1042 Text en http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Influenza
Presanis, Anne M
Lipsitch, Marc
Daniela De Angelis,
Hagy, Angie
Reed, Carrie
Riley, Steven
Cooper, Ben
Biedrzycki, Paul
Finelli, Lyn
B, Jade
The severity of pandemic H1N1 influenza in the United States, April – July 2009
title The severity of pandemic H1N1 influenza in the United States, April – July 2009
title_full The severity of pandemic H1N1 influenza in the United States, April – July 2009
title_fullStr The severity of pandemic H1N1 influenza in the United States, April – July 2009
title_full_unstemmed The severity of pandemic H1N1 influenza in the United States, April – July 2009
title_short The severity of pandemic H1N1 influenza in the United States, April – July 2009
title_sort severity of pandemic h1n1 influenza in the united states, april – july 2009
topic Influenza
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2762775/
https://www.ncbi.nlm.nih.gov/pubmed/20029614
http://dx.doi.org/10.1371/currents.RRN1042
work_keys_str_mv AT presanisannem theseverityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT lipsitchmarc theseverityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT danieladeangelis theseverityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT theseverityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT hagyangie theseverityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT reedcarrie theseverityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT rileysteven theseverityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT cooperben theseverityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT biedrzyckipaul theseverityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT finellilyn theseverityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT bjade theseverityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT presanisannem severityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT lipsitchmarc severityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT danieladeangelis severityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT severityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT hagyangie severityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT reedcarrie severityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT rileysteven severityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT cooperben severityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT biedrzyckipaul severityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT finellilyn severityofpandemich1n1influenzaintheunitedstatesapriljuly2009
AT bjade severityofpandemich1n1influenzaintheunitedstatesapriljuly2009