Cargando…

2204. Pathogen Co-infections and Trends in Influenza-like Illness in PAIVED

BACKGROUND: The Pragmatic Assessment of Influenza Vaccine Effectiveness in the Department of Defense (DoD) (PAIVED) is a multicenter, multiservice study assessing influenza vaccine effectiveness in active-duty service members, retirees, and dependents. In its fourth season (2021/22), PAIVED offers a...

Descripción completa

Detalles Bibliográficos
Autores principales: Richard, Stephanie A, Schofield, Christina, Collins, Limone, Spooner, Christina, Seshadri, Srihari, Ganesan, Anuradha, Campbell, Wesley R, Hrncir, David, Lalani, Tahaniyat, Warkentien, Tyler, Mende, Katrin, Markelz, Ana E, Berjohn, Catherine M, McClenathan, Bruce, Modi, Jitendrakumar, Williams, Alan, Burgess, Timothy, Colombo, Rhonda E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752986/
http://dx.doi.org/10.1093/ofid/ofac492.1823
_version_ 1784850863300280320
author Richard, Stephanie A
Schofield, Christina
Collins, Limone
Spooner, Christina
Seshadri, Srihari
Ganesan, Anuradha
Campbell, Wesley R
Hrncir, David
Lalani, Tahaniyat
Warkentien, Tyler
Mende, Katrin
Markelz, Ana E
Berjohn, Catherine M
McClenathan, Bruce
Modi, Jitendrakumar
Williams, Alan
Burgess, Timothy
Colombo, Rhonda E
author_facet Richard, Stephanie A
Schofield, Christina
Collins, Limone
Spooner, Christina
Seshadri, Srihari
Ganesan, Anuradha
Campbell, Wesley R
Hrncir, David
Lalani, Tahaniyat
Warkentien, Tyler
Mende, Katrin
Markelz, Ana E
Berjohn, Catherine M
McClenathan, Bruce
Modi, Jitendrakumar
Williams, Alan
Burgess, Timothy
Colombo, Rhonda E
author_sort Richard, Stephanie A
collection PubMed
description BACKGROUND: The Pragmatic Assessment of Influenza Vaccine Effectiveness in the Department of Defense (DoD) (PAIVED) is a multicenter, multiservice study assessing influenza vaccine effectiveness in active-duty service members, retirees, and dependents. In its fourth season (2021/22), PAIVED offers a unique opportunity to examine influenza-like illness (ILI) trends prior to and during the COVID-19 pandemic in a prospectively followed, well-defined cohort. METHODS: Over the past 4 influenza seasons, PAIVED has enrolled DoD beneficiaries who were randomized to receive egg-based, cell-based, or recombinant-derived influenza vaccine. Participants provided some basic demographic information and were then sent a weekly text or email that inquired about ILI symptoms, defined as 1) having cough or sore throat, plus 2) feeling feverish/having chills or having body aches/fatigue. Participants with ILI completed a daily symptom diary for one week and submitted a nasal swab for PCR-based pathogen detection. [Figure: see text] [Figure: see text] RESULTS: Over the 4 seasons, 15,449 participants were followed for ILI (Table 1) with 3,407 participants reporting a total of 3,985 ILIs. For the 2021/22 season, ILI reports peaked in January (Figure 1). Overall, 4.7% of episodes had more than one pathogen identified (Table 2). Among the 122 coinfections identified to date, most were coinfections with rhinoviruses (91/122, 75%), including rhinovirus coinfections with seasonal coronaviruses (29, 24%), metapneumovirus (18, 15%), SARS-CoV-2 (17, 14%), and influenza (14, 11%). SARS-CoV-2 and influenza were found together in one sample. The lab data will continue to be processed for the current season (2021/22). [Figure: see text] CONCLUSION: ILI rates were lowest during the third year (2020/21), consistent with national influenza surveillance reports of influenza and outpatient ILI activity, suggesting that measures taken to reduce transmission of SARS-CoV-2 reduced the spread of other respiratory viruses. The emergence of the SARS-CoV-2 omicron variant in December 2021 was associated with higher ILI rates. Among those individuals for whom a sample was collected, coinfections were highest in 2018/19. Data collection and specimen analysis are ongoing for 2021/22. DISCLOSURES: Jitendrakumar Modi, MD, GlaxoSmithKline: I am a paid speaker for GSK. I do not speak for their flu brand. Timothy Burgess, MD, MPH, AstraZeneca: The HJF, in support of the USU IDCRP, was funded to conduct or augment unrelated Phase III Mab and vaccine trials as part of US Govt. COVID19 response.
format Online
Article
Text
id pubmed-9752986
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-97529862022-12-16 2204. Pathogen Co-infections and Trends in Influenza-like Illness in PAIVED Richard, Stephanie A Schofield, Christina Collins, Limone Spooner, Christina Seshadri, Srihari Ganesan, Anuradha Campbell, Wesley R Hrncir, David Lalani, Tahaniyat Warkentien, Tyler Mende, Katrin Markelz, Ana E Berjohn, Catherine M McClenathan, Bruce Modi, Jitendrakumar Williams, Alan Burgess, Timothy Colombo, Rhonda E Open Forum Infect Dis Abstracts BACKGROUND: The Pragmatic Assessment of Influenza Vaccine Effectiveness in the Department of Defense (DoD) (PAIVED) is a multicenter, multiservice study assessing influenza vaccine effectiveness in active-duty service members, retirees, and dependents. In its fourth season (2021/22), PAIVED offers a unique opportunity to examine influenza-like illness (ILI) trends prior to and during the COVID-19 pandemic in a prospectively followed, well-defined cohort. METHODS: Over the past 4 influenza seasons, PAIVED has enrolled DoD beneficiaries who were randomized to receive egg-based, cell-based, or recombinant-derived influenza vaccine. Participants provided some basic demographic information and were then sent a weekly text or email that inquired about ILI symptoms, defined as 1) having cough or sore throat, plus 2) feeling feverish/having chills or having body aches/fatigue. Participants with ILI completed a daily symptom diary for one week and submitted a nasal swab for PCR-based pathogen detection. [Figure: see text] [Figure: see text] RESULTS: Over the 4 seasons, 15,449 participants were followed for ILI (Table 1) with 3,407 participants reporting a total of 3,985 ILIs. For the 2021/22 season, ILI reports peaked in January (Figure 1). Overall, 4.7% of episodes had more than one pathogen identified (Table 2). Among the 122 coinfections identified to date, most were coinfections with rhinoviruses (91/122, 75%), including rhinovirus coinfections with seasonal coronaviruses (29, 24%), metapneumovirus (18, 15%), SARS-CoV-2 (17, 14%), and influenza (14, 11%). SARS-CoV-2 and influenza were found together in one sample. The lab data will continue to be processed for the current season (2021/22). [Figure: see text] CONCLUSION: ILI rates were lowest during the third year (2020/21), consistent with national influenza surveillance reports of influenza and outpatient ILI activity, suggesting that measures taken to reduce transmission of SARS-CoV-2 reduced the spread of other respiratory viruses. The emergence of the SARS-CoV-2 omicron variant in December 2021 was associated with higher ILI rates. Among those individuals for whom a sample was collected, coinfections were highest in 2018/19. Data collection and specimen analysis are ongoing for 2021/22. DISCLOSURES: Jitendrakumar Modi, MD, GlaxoSmithKline: I am a paid speaker for GSK. I do not speak for their flu brand. Timothy Burgess, MD, MPH, AstraZeneca: The HJF, in support of the USU IDCRP, was funded to conduct or augment unrelated Phase III Mab and vaccine trials as part of US Govt. COVID19 response. Oxford University Press 2022-12-15 /pmc/articles/PMC9752986/ http://dx.doi.org/10.1093/ofid/ofac492.1823 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Richard, Stephanie A
Schofield, Christina
Collins, Limone
Spooner, Christina
Seshadri, Srihari
Ganesan, Anuradha
Campbell, Wesley R
Hrncir, David
Lalani, Tahaniyat
Warkentien, Tyler
Mende, Katrin
Markelz, Ana E
Berjohn, Catherine M
McClenathan, Bruce
Modi, Jitendrakumar
Williams, Alan
Burgess, Timothy
Colombo, Rhonda E
2204. Pathogen Co-infections and Trends in Influenza-like Illness in PAIVED
title 2204. Pathogen Co-infections and Trends in Influenza-like Illness in PAIVED
title_full 2204. Pathogen Co-infections and Trends in Influenza-like Illness in PAIVED
title_fullStr 2204. Pathogen Co-infections and Trends in Influenza-like Illness in PAIVED
title_full_unstemmed 2204. Pathogen Co-infections and Trends in Influenza-like Illness in PAIVED
title_short 2204. Pathogen Co-infections and Trends in Influenza-like Illness in PAIVED
title_sort 2204. pathogen co-infections and trends in influenza-like illness in paived
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752986/
http://dx.doi.org/10.1093/ofid/ofac492.1823
work_keys_str_mv AT richardstephaniea 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived
AT schofieldchristina 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived
AT collinslimone 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived
AT spoonerchristina 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived
AT seshadrisrihari 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived
AT ganesananuradha 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived
AT campbellwesleyr 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived
AT hrncirdavid 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived
AT lalanitahaniyat 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived
AT warkentientyler 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived
AT mendekatrin 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived
AT markelzanae 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived
AT berjohncatherinem 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived
AT mcclenathanbruce 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived
AT modijitendrakumar 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived
AT williamsalan 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived
AT burgesstimothy 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived
AT colomborhondae 2204pathogencoinfectionsandtrendsininfluenzalikeillnessinpaived