Cargando…
LB19. Patterns of Influenza A Hospitalizations by Subtype and Age in the United States, FluSurv-NET, 2018–2019
BACKGROUND: The 2018–19 influenza season was characterized by prolonged co-circulation of Influenza A H3N2 (H3) and H1N1pdm09 (H1) viruses. We used data from the Influenza Hospitalization Surveillance Network (FluSurv-NET) to describe age-related differences in the distribution of influenza A subtyp...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810298/ http://dx.doi.org/10.1093/ofid/ofz415.2502 |
_version_ | 1783462216730673152 |
---|---|
author | Garg, Shikha O’Halloran, Alissa O’Halloran, Alissa Cummings, Charisse N Cummings, Charisse N Holstein, Rachel Kniss, Krista Anderson, Evan J Anderson, Evan J Bennett, Nancy M Bennett, Nancy M Billing, Laurie M Billing, Laurie M Herlihy, Rachel Hill, Mary Irizarry, Lourdes Irizarry, Lourdes Kim, Sue Kim, Sue Kirley, Pam D Lynfield, Ruth Lynfield, Ruth Monroe, Maya Monroe, Maya Spina, Nancy Talbot, Keipp Talbot, Keipp Thomas, Ann Thomas, Ann Yousey-Hindes, Kimberly Budd, Alicia Brammer, Lynette Reed, Carrie Reed, Carrie |
author_facet | Garg, Shikha O’Halloran, Alissa O’Halloran, Alissa Cummings, Charisse N Cummings, Charisse N Holstein, Rachel Kniss, Krista Anderson, Evan J Anderson, Evan J Bennett, Nancy M Bennett, Nancy M Billing, Laurie M Billing, Laurie M Herlihy, Rachel Hill, Mary Irizarry, Lourdes Irizarry, Lourdes Kim, Sue Kim, Sue Kirley, Pam D Lynfield, Ruth Lynfield, Ruth Monroe, Maya Monroe, Maya Spina, Nancy Talbot, Keipp Talbot, Keipp Thomas, Ann Thomas, Ann Yousey-Hindes, Kimberly Budd, Alicia Brammer, Lynette Reed, Carrie Reed, Carrie |
author_sort | Garg, Shikha |
collection | PubMed |
description | BACKGROUND: The 2018–19 influenza season was characterized by prolonged co-circulation of Influenza A H3N2 (H3) and H1N1pdm09 (H1) viruses. We used data from the Influenza Hospitalization Surveillance Network (FluSurv-NET) to describe age-related differences in the distribution of influenza A subtypes. METHODS: We included all cases residing within a FluSurv-NET catchment area and hospitalized with laboratory-confirmed influenza during October 1, 2018–April 30, 2019. We multiply imputed influenza A subtype for 63% of cases with unknown subtype and based imputation on factors that could be associated with missing subtype including surveillance site, 10-year age groups and month of hospital admission. We calculated influenza hospitalization rates and 95% confidence intervals (95% CI) by type and subtype per 100,000 population. We compared the proportion of cases with H1 by year of age in FluSurv-NET to the distribution obtained from US public health laboratories participating in virologic surveillance and providing specimen-level influenza Results. RESULTS: Based on available data, 18,669 hospitalizations were reported; 41% received influenza vaccination ≥2 weeks prior to hospitalization and 90% received antivirals. Cumulative hospitalization rates per 100,000 population were as follows: H1 32.5 (95% CI 31.7–33.3), H3 29.3 (95% CI 28.5–30.1) and B 2.5 (95% CI 2.3–2.7). Based on weekly rates, H1 hospitalizations peaked during February (week 8) and H3 hospitalizations during March (week 11) (Figure A). FluSurv-NET data showed distinct patterns of subtype distribution by age, with H1 predominating among cases 0–9 and 24–70 years, and H3 predominating among cases 10–23 and ≥71 years. Data on the proportion of H1 results by age correlated well between FluSurv-NET and US virologic surveillance (Figure B). CONCLUSION: Influenza A H1 and H3 virus circulation patterns varied by age group during the 2018–2019 season. The proportion of cases with H1 relative to H3 was low among those born between 1996 and 2009 and those born before 1948. These findings may indicate protection against H1 viruses in age groups with exposure to H1N1pdm09 during the 2009 pandemic or to older antigenically similar H1N1 viruses as young children. [Image: see text] DISCLOSURES: Evan J. Anderson, MD, AbbVie (Consultant), GSK (Grant/Research Support), Merck (Grant/Research Support), Micron (Grant/Research Support), PaxVax (Grant/Research Support), Pfizer (Consultant, Grant/Research Support), sanofi pasteur (Grant/Research Support), Keipp Talbot, MD, MPH, Sequirus (Other Financial or Material Support, On Data Safety Monitoring Board). |
format | Online Article Text |
id | pubmed-6810298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68102982019-10-28 LB19. Patterns of Influenza A Hospitalizations by Subtype and Age in the United States, FluSurv-NET, 2018–2019 Garg, Shikha O’Halloran, Alissa O’Halloran, Alissa Cummings, Charisse N Cummings, Charisse N Holstein, Rachel Kniss, Krista Anderson, Evan J Anderson, Evan J Bennett, Nancy M Bennett, Nancy M Billing, Laurie M Billing, Laurie M Herlihy, Rachel Hill, Mary Irizarry, Lourdes Irizarry, Lourdes Kim, Sue Kim, Sue Kirley, Pam D Lynfield, Ruth Lynfield, Ruth Monroe, Maya Monroe, Maya Spina, Nancy Talbot, Keipp Talbot, Keipp Thomas, Ann Thomas, Ann Yousey-Hindes, Kimberly Budd, Alicia Brammer, Lynette Reed, Carrie Reed, Carrie Open Forum Infect Dis Abstracts BACKGROUND: The 2018–19 influenza season was characterized by prolonged co-circulation of Influenza A H3N2 (H3) and H1N1pdm09 (H1) viruses. We used data from the Influenza Hospitalization Surveillance Network (FluSurv-NET) to describe age-related differences in the distribution of influenza A subtypes. METHODS: We included all cases residing within a FluSurv-NET catchment area and hospitalized with laboratory-confirmed influenza during October 1, 2018–April 30, 2019. We multiply imputed influenza A subtype for 63% of cases with unknown subtype and based imputation on factors that could be associated with missing subtype including surveillance site, 10-year age groups and month of hospital admission. We calculated influenza hospitalization rates and 95% confidence intervals (95% CI) by type and subtype per 100,000 population. We compared the proportion of cases with H1 by year of age in FluSurv-NET to the distribution obtained from US public health laboratories participating in virologic surveillance and providing specimen-level influenza Results. RESULTS: Based on available data, 18,669 hospitalizations were reported; 41% received influenza vaccination ≥2 weeks prior to hospitalization and 90% received antivirals. Cumulative hospitalization rates per 100,000 population were as follows: H1 32.5 (95% CI 31.7–33.3), H3 29.3 (95% CI 28.5–30.1) and B 2.5 (95% CI 2.3–2.7). Based on weekly rates, H1 hospitalizations peaked during February (week 8) and H3 hospitalizations during March (week 11) (Figure A). FluSurv-NET data showed distinct patterns of subtype distribution by age, with H1 predominating among cases 0–9 and 24–70 years, and H3 predominating among cases 10–23 and ≥71 years. Data on the proportion of H1 results by age correlated well between FluSurv-NET and US virologic surveillance (Figure B). CONCLUSION: Influenza A H1 and H3 virus circulation patterns varied by age group during the 2018–2019 season. The proportion of cases with H1 relative to H3 was low among those born between 1996 and 2009 and those born before 1948. These findings may indicate protection against H1 viruses in age groups with exposure to H1N1pdm09 during the 2009 pandemic or to older antigenically similar H1N1 viruses as young children. [Image: see text] DISCLOSURES: Evan J. Anderson, MD, AbbVie (Consultant), GSK (Grant/Research Support), Merck (Grant/Research Support), Micron (Grant/Research Support), PaxVax (Grant/Research Support), Pfizer (Consultant, Grant/Research Support), sanofi pasteur (Grant/Research Support), Keipp Talbot, MD, MPH, Sequirus (Other Financial or Material Support, On Data Safety Monitoring Board). Oxford University Press 2019-10-23 /pmc/articles/PMC6810298/ http://dx.doi.org/10.1093/ofid/ofz415.2502 Text en © The Author(s) 2019. 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 Garg, Shikha O’Halloran, Alissa O’Halloran, Alissa Cummings, Charisse N Cummings, Charisse N Holstein, Rachel Kniss, Krista Anderson, Evan J Anderson, Evan J Bennett, Nancy M Bennett, Nancy M Billing, Laurie M Billing, Laurie M Herlihy, Rachel Hill, Mary Irizarry, Lourdes Irizarry, Lourdes Kim, Sue Kim, Sue Kirley, Pam D Lynfield, Ruth Lynfield, Ruth Monroe, Maya Monroe, Maya Spina, Nancy Talbot, Keipp Talbot, Keipp Thomas, Ann Thomas, Ann Yousey-Hindes, Kimberly Budd, Alicia Brammer, Lynette Reed, Carrie Reed, Carrie LB19. Patterns of Influenza A Hospitalizations by Subtype and Age in the United States, FluSurv-NET, 2018–2019 |
title | LB19. Patterns of Influenza A Hospitalizations by Subtype and Age in the United States, FluSurv-NET, 2018–2019 |
title_full | LB19. Patterns of Influenza A Hospitalizations by Subtype and Age in the United States, FluSurv-NET, 2018–2019 |
title_fullStr | LB19. Patterns of Influenza A Hospitalizations by Subtype and Age in the United States, FluSurv-NET, 2018–2019 |
title_full_unstemmed | LB19. Patterns of Influenza A Hospitalizations by Subtype and Age in the United States, FluSurv-NET, 2018–2019 |
title_short | LB19. Patterns of Influenza A Hospitalizations by Subtype and Age in the United States, FluSurv-NET, 2018–2019 |
title_sort | lb19. patterns of influenza a hospitalizations by subtype and age in the united states, flusurv-net, 2018–2019 |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810298/ http://dx.doi.org/10.1093/ofid/ofz415.2502 |
work_keys_str_mv | AT gargshikha lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT ohalloranalissa lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT ohalloranalissa lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT cummingscharissen lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT cummingscharissen lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT holsteinrachel lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT knisskrista lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT andersonevanj lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT andersonevanj lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT bennettnancym lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT bennettnancym lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT billinglauriem lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT billinglauriem lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT herlihyrachel lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT hillmary lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT irizarrylourdes lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT irizarrylourdes lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT kimsue lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT kimsue lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT kirleypamd lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT lynfieldruth lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT lynfieldruth lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT monroemaya lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT monroemaya lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT spinanancy lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT talbotkeipp lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT talbotkeipp lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT thomasann lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT thomasann lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT youseyhindeskimberly lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT buddalicia lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT brammerlynette lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT reedcarrie lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 AT reedcarrie lb19patternsofinfluenzaahospitalizationsbysubtypeandageintheunitedstatesflusurvnet20182019 |