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The Pregnancy Vaccine Effectiveness Network (PREVENT): Establishing a Multi-Country Cohort to Estimate Vaccine Effectiveness (VE) against Hospitalized Influenza During Pregnancy

BACKGROUND: Pregnant women are at greater risk of complications from influenza (flu) infection than the general population. Although vaccination is an effective method to prevent influenza, the vaccine is underutilized during pregnancy. A challenge to maternal flu vaccination is the paucity of data...

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Autores principales: Ball, Sarah, Naleway, Allison, Kwong, Jeffrey C, Reagan, Annette K, Simmonds, Kimberley, Feldman, Becca, Azziz-Baumgartner, Eduardo, Wyant, Brandy, Klein, Nicola P, Fell, Deshayne, Effler, Paul, Booth, Stephanie, Katz, Mark, Dawood, Fatimah S, Shifflett, Patricia, Jackson, Michael L, Buchan, Sarah, Levy, Avram, Drews, Steven, Garg, Shikha, Irving, Stephanie, Russell, Margaret L, Lewis, Edwin, Crane, Bradley, Modaressi, Sharareh, Slaughter, Matthew, Goddard, Kristin, Thompson, Mark G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5630783/
http://dx.doi.org/10.1093/ofid/ofx163.1155
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author Ball, Sarah
Naleway, Allison
Kwong, Jeffrey C
Reagan, Annette K
Simmonds, Kimberley
Feldman, Becca
Azziz-Baumgartner, Eduardo
Wyant, Brandy
Klein, Nicola P
Fell, Deshayne
Effler, Paul
Booth, Stephanie
Katz, Mark
Dawood, Fatimah S
Shifflett, Patricia
Jackson, Michael L
Buchan, Sarah
Levy, Avram
Drews, Steven
Garg, Shikha
Irving, Stephanie
Russell, Margaret L
Lewis, Edwin
Crane, Bradley
Modaressi, Sharareh
Slaughter, Matthew
Goddard, Kristin
Thompson, Mark G
author_facet Ball, Sarah
Naleway, Allison
Kwong, Jeffrey C
Reagan, Annette K
Simmonds, Kimberley
Feldman, Becca
Azziz-Baumgartner, Eduardo
Wyant, Brandy
Klein, Nicola P
Fell, Deshayne
Effler, Paul
Booth, Stephanie
Katz, Mark
Dawood, Fatimah S
Shifflett, Patricia
Jackson, Michael L
Buchan, Sarah
Levy, Avram
Drews, Steven
Garg, Shikha
Irving, Stephanie
Russell, Margaret L
Lewis, Edwin
Crane, Bradley
Modaressi, Sharareh
Slaughter, Matthew
Goddard, Kristin
Thompson, Mark G
author_sort Ball, Sarah
collection PubMed
description BACKGROUND: Pregnant women are at greater risk of complications from influenza (flu) infection than the general population. Although vaccination is an effective method to prevent influenza, the vaccine is underutilized during pregnancy. A challenge to maternal flu vaccination is the paucity of data about the effectiveness of inactivated influenza vaccines (IIV) in preventing severe outcomes in pregnant women. To inform policy and address this knowledge gap, CDC developed a multi-country collaboration to investigate the preventive value of IIV during pregnancy during multiple flu seasons. We present the progress to date of this Network. METHODS: PREVENT was established in April 2016 to: i) estimate incidence of influenza and vaccination rates; ii) describe epidemiologic characteristics associated with illness; and iii) estimate IIV effectiveness in preventing hospitalizations during pregnancy associated with RT PCR -confirmed influenza. We selected sites that could identify the population of women known to be pregnant during flu seasons and integrate their hospitalization data, clinical laboratory testing, and vaccination records. We will assess VE using the case test-negative control design and use meta-analyses to pool VE estimates across sites and account for significant differences. Primary analyses will be completed by August 2017. RESULTS: Seven sites in Australia, Canada, Israel, and the US were selected; a protocol and data dictionary were finalized. We identified 1,024 pregnant women hospitalized with acute respiratory illness and RT-PCR tested, during six influenza seasons (2010–11 through 2015–16). Of the qualifying women, 550 (54%) tested positive for flu. Positivity varied by site (range 41% (US)–61.8% (Ontario, CAN)), and vaccination coverage varied across sites and seasons (range 7.3% (Ontario, CAN)–46% (US)). Analyses will examine flu season characteristics, vaccination patterns, and clinical and birth outcomes related to respiratory illness during pregnancy and flu incidence. CONCLUSION: Laboratory-confirmed influenza hospitalization during pregnancy is a relatively low-frequency event. Pooling data across multiple sites offers a way to estimate VE against severe influenza outcomes in pregnant women that is informative to influenza vaccine policy. DISCLOSURES: A. Naleway, MedImmune: Investigator, Research grant; Pfizer: Investigator, Research grant; Merck: Investigator, Grant recipient; N. P. Klein, GSK: Investigator, Research grant; sanofi pasteur: Investigator, Grant recipient; Merck & Co: Investigator, Grant recipient; MedImmune: Investigator, Grant recipient; Protein Science: Investigator, Research grant; Pfizer: Investigator, Grant recipient; S. Irving, Medimmune/AstraZeneca: Investigator, Research support
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spelling pubmed-56307832017-11-07 The Pregnancy Vaccine Effectiveness Network (PREVENT): Establishing a Multi-Country Cohort to Estimate Vaccine Effectiveness (VE) against Hospitalized Influenza During Pregnancy Ball, Sarah Naleway, Allison Kwong, Jeffrey C Reagan, Annette K Simmonds, Kimberley Feldman, Becca Azziz-Baumgartner, Eduardo Wyant, Brandy Klein, Nicola P Fell, Deshayne Effler, Paul Booth, Stephanie Katz, Mark Dawood, Fatimah S Shifflett, Patricia Jackson, Michael L Buchan, Sarah Levy, Avram Drews, Steven Garg, Shikha Irving, Stephanie Russell, Margaret L Lewis, Edwin Crane, Bradley Modaressi, Sharareh Slaughter, Matthew Goddard, Kristin Thompson, Mark G Open Forum Infect Dis Abstracts BACKGROUND: Pregnant women are at greater risk of complications from influenza (flu) infection than the general population. Although vaccination is an effective method to prevent influenza, the vaccine is underutilized during pregnancy. A challenge to maternal flu vaccination is the paucity of data about the effectiveness of inactivated influenza vaccines (IIV) in preventing severe outcomes in pregnant women. To inform policy and address this knowledge gap, CDC developed a multi-country collaboration to investigate the preventive value of IIV during pregnancy during multiple flu seasons. We present the progress to date of this Network. METHODS: PREVENT was established in April 2016 to: i) estimate incidence of influenza and vaccination rates; ii) describe epidemiologic characteristics associated with illness; and iii) estimate IIV effectiveness in preventing hospitalizations during pregnancy associated with RT PCR -confirmed influenza. We selected sites that could identify the population of women known to be pregnant during flu seasons and integrate their hospitalization data, clinical laboratory testing, and vaccination records. We will assess VE using the case test-negative control design and use meta-analyses to pool VE estimates across sites and account for significant differences. Primary analyses will be completed by August 2017. RESULTS: Seven sites in Australia, Canada, Israel, and the US were selected; a protocol and data dictionary were finalized. We identified 1,024 pregnant women hospitalized with acute respiratory illness and RT-PCR tested, during six influenza seasons (2010–11 through 2015–16). Of the qualifying women, 550 (54%) tested positive for flu. Positivity varied by site (range 41% (US)–61.8% (Ontario, CAN)), and vaccination coverage varied across sites and seasons (range 7.3% (Ontario, CAN)–46% (US)). Analyses will examine flu season characteristics, vaccination patterns, and clinical and birth outcomes related to respiratory illness during pregnancy and flu incidence. CONCLUSION: Laboratory-confirmed influenza hospitalization during pregnancy is a relatively low-frequency event. Pooling data across multiple sites offers a way to estimate VE against severe influenza outcomes in pregnant women that is informative to influenza vaccine policy. DISCLOSURES: A. Naleway, MedImmune: Investigator, Research grant; Pfizer: Investigator, Research grant; Merck: Investigator, Grant recipient; N. P. Klein, GSK: Investigator, Research grant; sanofi pasteur: Investigator, Grant recipient; Merck & Co: Investigator, Grant recipient; MedImmune: Investigator, Grant recipient; Protein Science: Investigator, Research grant; Pfizer: Investigator, Grant recipient; S. Irving, Medimmune/AstraZeneca: Investigator, Research support Oxford University Press 2017-10-04 /pmc/articles/PMC5630783/ http://dx.doi.org/10.1093/ofid/ofx163.1155 Text en © The Author 2017. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Ball, Sarah
Naleway, Allison
Kwong, Jeffrey C
Reagan, Annette K
Simmonds, Kimberley
Feldman, Becca
Azziz-Baumgartner, Eduardo
Wyant, Brandy
Klein, Nicola P
Fell, Deshayne
Effler, Paul
Booth, Stephanie
Katz, Mark
Dawood, Fatimah S
Shifflett, Patricia
Jackson, Michael L
Buchan, Sarah
Levy, Avram
Drews, Steven
Garg, Shikha
Irving, Stephanie
Russell, Margaret L
Lewis, Edwin
Crane, Bradley
Modaressi, Sharareh
Slaughter, Matthew
Goddard, Kristin
Thompson, Mark G
The Pregnancy Vaccine Effectiveness Network (PREVENT): Establishing a Multi-Country Cohort to Estimate Vaccine Effectiveness (VE) against Hospitalized Influenza During Pregnancy
title The Pregnancy Vaccine Effectiveness Network (PREVENT): Establishing a Multi-Country Cohort to Estimate Vaccine Effectiveness (VE) against Hospitalized Influenza During Pregnancy
title_full The Pregnancy Vaccine Effectiveness Network (PREVENT): Establishing a Multi-Country Cohort to Estimate Vaccine Effectiveness (VE) against Hospitalized Influenza During Pregnancy
title_fullStr The Pregnancy Vaccine Effectiveness Network (PREVENT): Establishing a Multi-Country Cohort to Estimate Vaccine Effectiveness (VE) against Hospitalized Influenza During Pregnancy
title_full_unstemmed The Pregnancy Vaccine Effectiveness Network (PREVENT): Establishing a Multi-Country Cohort to Estimate Vaccine Effectiveness (VE) against Hospitalized Influenza During Pregnancy
title_short The Pregnancy Vaccine Effectiveness Network (PREVENT): Establishing a Multi-Country Cohort to Estimate Vaccine Effectiveness (VE) against Hospitalized Influenza During Pregnancy
title_sort pregnancy vaccine effectiveness network (prevent): establishing a multi-country cohort to estimate vaccine effectiveness (ve) against hospitalized influenza during pregnancy
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5630783/
http://dx.doi.org/10.1093/ofid/ofx163.1155
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