Cargando…

SARS-CoV-2 and influenza coinfection throughout the COVID-19 pandemic: an assessment of coinfection rates, cohort characteristics, and clinical outcomes

Case reports of patients infected with COVID-19 and influenza virus (“flurona”) have raised questions around the prevalence and severity of coinfection. Using data from HHS Protect Public Data Hub, NCBI Virus, and CDC FluView, we analyzed trends in SARS-CoV-2 and influenza hospitalized coinfection c...

Descripción completa

Detalles Bibliográficos
Autores principales: Pawlowski, Colin, Silvert, Eli, O'Horo, John C, Lenehan, Patrick J, Challener, Doug, Gnass, Esteban, Murugadoss, Karthik, Ross, Jason, Speicher, Leigh, Geyer, Holly, Venkatakrishnan, A J, Badley, Andrew D, Soundararajan, Venky
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9291226/
https://www.ncbi.nlm.nih.gov/pubmed/35860600
http://dx.doi.org/10.1093/pnasnexus/pgac071
_version_ 1784749096106459136
author Pawlowski, Colin
Silvert, Eli
O'Horo, John C
Lenehan, Patrick J
Challener, Doug
Gnass, Esteban
Murugadoss, Karthik
Ross, Jason
Speicher, Leigh
Geyer, Holly
Venkatakrishnan, A J
Badley, Andrew D
Soundararajan, Venky
author_facet Pawlowski, Colin
Silvert, Eli
O'Horo, John C
Lenehan, Patrick J
Challener, Doug
Gnass, Esteban
Murugadoss, Karthik
Ross, Jason
Speicher, Leigh
Geyer, Holly
Venkatakrishnan, A J
Badley, Andrew D
Soundararajan, Venky
author_sort Pawlowski, Colin
collection PubMed
description Case reports of patients infected with COVID-19 and influenza virus (“flurona”) have raised questions around the prevalence and severity of coinfection. Using data from HHS Protect Public Data Hub, NCBI Virus, and CDC FluView, we analyzed trends in SARS-CoV-2 and influenza hospitalized coinfection cases and strain prevalences. We also characterized coinfection cases across the Mayo Clinic Enterprise from January 2020 to April 2022. We compared expected and observed coinfection case counts across different waves of the pandemic and assessed symptoms and outcomes of coinfection and COVID-19 monoinfection cases after propensity score matching on clinically relevant baseline characteristics. From both the Mayo Clinic and nationwide datasets, the observed coinfection rate for SARS-CoV-2 and influenza has been higher during the Omicron era (2021 December 14 to 2022 April 2) compared to previous waves, but no higher than expected assuming infection rates are independent. At the Mayo Clinic, only 120 coinfection cases were observed among 197,364 SARS-CoV-2 cases. Coinfected patients were relatively young (mean age: 26.7 years) and had fewer serious comorbidities compared to monoinfected patients. While there were no significant differences in 30-day hospitalization, ICU admission, or mortality rates between coinfected and matched COVID-19 monoinfection cases, coinfection cases reported higher rates of symptoms including congestion, cough, fever/chills, headache, myalgia/arthralgia, pharyngitis, and rhinitis. While most coinfection cases observed at the Mayo Clinic occurred among relatively healthy individuals, further observation is needed to assess outcomes among subpopulations with risk factors for severe COVID-19 such as older age, obesity, and immunocompromised status.
format Online
Article
Text
id pubmed-9291226
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-92912262022-07-18 SARS-CoV-2 and influenza coinfection throughout the COVID-19 pandemic: an assessment of coinfection rates, cohort characteristics, and clinical outcomes Pawlowski, Colin Silvert, Eli O'Horo, John C Lenehan, Patrick J Challener, Doug Gnass, Esteban Murugadoss, Karthik Ross, Jason Speicher, Leigh Geyer, Holly Venkatakrishnan, A J Badley, Andrew D Soundararajan, Venky PNAS Nexus Biological, Health, and Medical Sciences Case reports of patients infected with COVID-19 and influenza virus (“flurona”) have raised questions around the prevalence and severity of coinfection. Using data from HHS Protect Public Data Hub, NCBI Virus, and CDC FluView, we analyzed trends in SARS-CoV-2 and influenza hospitalized coinfection cases and strain prevalences. We also characterized coinfection cases across the Mayo Clinic Enterprise from January 2020 to April 2022. We compared expected and observed coinfection case counts across different waves of the pandemic and assessed symptoms and outcomes of coinfection and COVID-19 monoinfection cases after propensity score matching on clinically relevant baseline characteristics. From both the Mayo Clinic and nationwide datasets, the observed coinfection rate for SARS-CoV-2 and influenza has been higher during the Omicron era (2021 December 14 to 2022 April 2) compared to previous waves, but no higher than expected assuming infection rates are independent. At the Mayo Clinic, only 120 coinfection cases were observed among 197,364 SARS-CoV-2 cases. Coinfected patients were relatively young (mean age: 26.7 years) and had fewer serious comorbidities compared to monoinfected patients. While there were no significant differences in 30-day hospitalization, ICU admission, or mortality rates between coinfected and matched COVID-19 monoinfection cases, coinfection cases reported higher rates of symptoms including congestion, cough, fever/chills, headache, myalgia/arthralgia, pharyngitis, and rhinitis. While most coinfection cases observed at the Mayo Clinic occurred among relatively healthy individuals, further observation is needed to assess outcomes among subpopulations with risk factors for severe COVID-19 such as older age, obesity, and immunocompromised status. Oxford University Press 2022-07-04 /pmc/articles/PMC9291226/ /pubmed/35860600 http://dx.doi.org/10.1093/pnasnexus/pgac071 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the National Academy of Sciences. 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 Biological, Health, and Medical Sciences
Pawlowski, Colin
Silvert, Eli
O'Horo, John C
Lenehan, Patrick J
Challener, Doug
Gnass, Esteban
Murugadoss, Karthik
Ross, Jason
Speicher, Leigh
Geyer, Holly
Venkatakrishnan, A J
Badley, Andrew D
Soundararajan, Venky
SARS-CoV-2 and influenza coinfection throughout the COVID-19 pandemic: an assessment of coinfection rates, cohort characteristics, and clinical outcomes
title SARS-CoV-2 and influenza coinfection throughout the COVID-19 pandemic: an assessment of coinfection rates, cohort characteristics, and clinical outcomes
title_full SARS-CoV-2 and influenza coinfection throughout the COVID-19 pandemic: an assessment of coinfection rates, cohort characteristics, and clinical outcomes
title_fullStr SARS-CoV-2 and influenza coinfection throughout the COVID-19 pandemic: an assessment of coinfection rates, cohort characteristics, and clinical outcomes
title_full_unstemmed SARS-CoV-2 and influenza coinfection throughout the COVID-19 pandemic: an assessment of coinfection rates, cohort characteristics, and clinical outcomes
title_short SARS-CoV-2 and influenza coinfection throughout the COVID-19 pandemic: an assessment of coinfection rates, cohort characteristics, and clinical outcomes
title_sort sars-cov-2 and influenza coinfection throughout the covid-19 pandemic: an assessment of coinfection rates, cohort characteristics, and clinical outcomes
topic Biological, Health, and Medical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9291226/
https://www.ncbi.nlm.nih.gov/pubmed/35860600
http://dx.doi.org/10.1093/pnasnexus/pgac071
work_keys_str_mv AT pawlowskicolin sarscov2andinfluenzacoinfectionthroughoutthecovid19pandemicanassessmentofcoinfectionratescohortcharacteristicsandclinicaloutcomes
AT silverteli sarscov2andinfluenzacoinfectionthroughoutthecovid19pandemicanassessmentofcoinfectionratescohortcharacteristicsandclinicaloutcomes
AT ohorojohnc sarscov2andinfluenzacoinfectionthroughoutthecovid19pandemicanassessmentofcoinfectionratescohortcharacteristicsandclinicaloutcomes
AT lenehanpatrickj sarscov2andinfluenzacoinfectionthroughoutthecovid19pandemicanassessmentofcoinfectionratescohortcharacteristicsandclinicaloutcomes
AT challenerdoug sarscov2andinfluenzacoinfectionthroughoutthecovid19pandemicanassessmentofcoinfectionratescohortcharacteristicsandclinicaloutcomes
AT gnassesteban sarscov2andinfluenzacoinfectionthroughoutthecovid19pandemicanassessmentofcoinfectionratescohortcharacteristicsandclinicaloutcomes
AT murugadosskarthik sarscov2andinfluenzacoinfectionthroughoutthecovid19pandemicanassessmentofcoinfectionratescohortcharacteristicsandclinicaloutcomes
AT rossjason sarscov2andinfluenzacoinfectionthroughoutthecovid19pandemicanassessmentofcoinfectionratescohortcharacteristicsandclinicaloutcomes
AT speicherleigh sarscov2andinfluenzacoinfectionthroughoutthecovid19pandemicanassessmentofcoinfectionratescohortcharacteristicsandclinicaloutcomes
AT geyerholly sarscov2andinfluenzacoinfectionthroughoutthecovid19pandemicanassessmentofcoinfectionratescohortcharacteristicsandclinicaloutcomes
AT venkatakrishnanaj sarscov2andinfluenzacoinfectionthroughoutthecovid19pandemicanassessmentofcoinfectionratescohortcharacteristicsandclinicaloutcomes
AT badleyandrewd sarscov2andinfluenzacoinfectionthroughoutthecovid19pandemicanassessmentofcoinfectionratescohortcharacteristicsandclinicaloutcomes
AT soundararajanvenky sarscov2andinfluenzacoinfectionthroughoutthecovid19pandemicanassessmentofcoinfectionratescohortcharacteristicsandclinicaloutcomes