Severity Scale of Influenza and Acute Respiratory Illness Hospitalizations to Support Viral Genomic Surveillance: A Global Influenza Hospital Surveillance Network Pilot Study

Background This study aimed to establish a Severity Scale for influenza and other acute respiratory infections (ARI), requiring hospitalization, for surveillance and research purposes (the SevScale). Such a scale could aid the interpretation of data gathered from disparate settings. This could facil...

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Authors: Boudewijns, B, Caini, S, Del Riccio, M, Nunes, MC, Chaves, SS, Andrew, MK, Ortiz, JR, Sandulescu, O, Bresee, JS, Burtseva, E, Coulibaly, D, Danilenko, DM, Stolyarov, K, Draganescu, AC, Tanriover, MD, Giamberardino, HIG, Koul, PA, Lopez-Labrador, FX, Mcneil, SA, Mira-Iglesias, A, Orrico-Sanchez, A, Otieno, NA, Ayugi, J, Raboni, SM, Spreeuwenberg, P
Format: article
Status:Published version
Publication Date:2025
Country:España
Institution:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
Repository:r-FISABIO. Repositorio Institucional de Producción Científica
OAI Identifier:oai:fisabio.fundanetsuite.com:p18516
Online Access:https://fisabio.portalinvestigacion.com/publicaciones/18516
Access Level:Open access
Keyword:influenza
acute respiratory infection
severity
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spelling Severity Scale of Influenza and Acute Respiratory Illness Hospitalizations to Support Viral Genomic Surveillance: A Global Influenza Hospital Surveillance Network Pilot StudyBoudewijns, BCaini, SDel Riccio, MNunes, MCChaves, SSAndrew, MKOrtiz, JRSandulescu, OBresee, JSBurtseva, ECoulibaly, DDanilenko, DMStolyarov, KDraganescu, ACTanriover, MDGiamberardino, HIGKoul, PALopez-Labrador, FXMcneil, SAMira-Iglesias, AOrrico-Sanchez, AOtieno, NAAyugi, JRaboni, SMSpreeuwenberg, Pinfluenzaacute respiratory infectionseverityBackground This study aimed to establish a Severity Scale for influenza and other acute respiratory infections (ARI), requiring hospitalization, for surveillance and research purposes (the SevScale). Such a scale could aid the interpretation of data gathered from disparate settings. This could facilitate pooled analyses linking viral genetic sequencing data to clinical severity, bringing insights to inform influenza surveillance and the vaccine strain selection process. Methods We used a subset of data from the Global Influenza Hospital Surveillance Network database, including data from different geographical areas and income levels. To quantify the underlying concept of severity, an item response model was developed using 16 indicators of severity related to the hospital stay. Each patient in the dataset was assigned a Severity Score and a Severity Category (low, medium, or high severity). Finally, we compared the model scores across different subgroups. Results Data from 9 countries were included, covering between 4 and 11 seasons from 2012 to 2022, with a total of 96,190 ARI hospitalizations. Not for all severity indicators data were available for all included seasons. Subgroups with a high percentage of patients in the high Severity Category included influenza A(H1N1)pdm09, age >= 50, lower-middle income countries, and admission since the start of the COVID-19 pandemic. Conclusions The initial model successfully highlighted severity disparities across patient subgroups. Repeating this exercise with new, more complete data would allow recalibration and validation of the current model. The SevScale proved to be a promising method to define severity for influenza vaccine strain selection, surveillance, and research.WILEY2025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://fisabio.portalinvestigacion.com/publicaciones/18516Influenza and Other Respiratory VirusesISSN: 17502640ISSNe: 17502659reponame:r-FISABIO. Repositorio Institucional de Producción Científicainstname:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)Inglésinfo:eu-repo/semantics/openAccessoai:fisabio.fundanetsuite.com:p185162026-06-11T12:45:17Z
dc.title.none.fl_str_mv Severity Scale of Influenza and Acute Respiratory Illness Hospitalizations to Support Viral Genomic Surveillance: A Global Influenza Hospital Surveillance Network Pilot Study
title Severity Scale of Influenza and Acute Respiratory Illness Hospitalizations to Support Viral Genomic Surveillance: A Global Influenza Hospital Surveillance Network Pilot Study
spellingShingle Severity Scale of Influenza and Acute Respiratory Illness Hospitalizations to Support Viral Genomic Surveillance: A Global Influenza Hospital Surveillance Network Pilot Study
Boudewijns, B
influenza
acute respiratory infection
severity
title_short Severity Scale of Influenza and Acute Respiratory Illness Hospitalizations to Support Viral Genomic Surveillance: A Global Influenza Hospital Surveillance Network Pilot Study
title_full Severity Scale of Influenza and Acute Respiratory Illness Hospitalizations to Support Viral Genomic Surveillance: A Global Influenza Hospital Surveillance Network Pilot Study
title_fullStr Severity Scale of Influenza and Acute Respiratory Illness Hospitalizations to Support Viral Genomic Surveillance: A Global Influenza Hospital Surveillance Network Pilot Study
title_full_unstemmed Severity Scale of Influenza and Acute Respiratory Illness Hospitalizations to Support Viral Genomic Surveillance: A Global Influenza Hospital Surveillance Network Pilot Study
title_sort Severity Scale of Influenza and Acute Respiratory Illness Hospitalizations to Support Viral Genomic Surveillance: A Global Influenza Hospital Surveillance Network Pilot Study
dc.creator.none.fl_str_mv Boudewijns, B
Caini, S
Del Riccio, M
Nunes, MC
Chaves, SS
Andrew, MK
Ortiz, JR
Sandulescu, O
Bresee, JS
Burtseva, E
Coulibaly, D
Danilenko, DM
Stolyarov, K
Draganescu, AC
Tanriover, MD
Giamberardino, HIG
Koul, PA
Lopez-Labrador, FX
Mcneil, SA
Mira-Iglesias, A
Orrico-Sanchez, A
Otieno, NA
Ayugi, J
Raboni, SM
Spreeuwenberg, P
author Boudewijns, B
author_facet Boudewijns, B
Caini, S
Del Riccio, M
Nunes, MC
Chaves, SS
Andrew, MK
Ortiz, JR
Sandulescu, O
Bresee, JS
Burtseva, E
Coulibaly, D
Danilenko, DM
Stolyarov, K
Draganescu, AC
Tanriover, MD
Giamberardino, HIG
Koul, PA
Lopez-Labrador, FX
Mcneil, SA
Mira-Iglesias, A
Orrico-Sanchez, A
Otieno, NA
Ayugi, J
Raboni, SM
Spreeuwenberg, P
author_role author
author2 Caini, S
Del Riccio, M
Nunes, MC
Chaves, SS
Andrew, MK
Ortiz, JR
Sandulescu, O
Bresee, JS
Burtseva, E
Coulibaly, D
Danilenko, DM
Stolyarov, K
Draganescu, AC
Tanriover, MD
Giamberardino, HIG
Koul, PA
Lopez-Labrador, FX
Mcneil, SA
Mira-Iglesias, A
Orrico-Sanchez, A
Otieno, NA
Ayugi, J
Raboni, SM
Spreeuwenberg, P
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv influenza
acute respiratory infection
severity
topic influenza
acute respiratory infection
severity
description Background This study aimed to establish a Severity Scale for influenza and other acute respiratory infections (ARI), requiring hospitalization, for surveillance and research purposes (the SevScale). Such a scale could aid the interpretation of data gathered from disparate settings. This could facilitate pooled analyses linking viral genetic sequencing data to clinical severity, bringing insights to inform influenza surveillance and the vaccine strain selection process. Methods We used a subset of data from the Global Influenza Hospital Surveillance Network database, including data from different geographical areas and income levels. To quantify the underlying concept of severity, an item response model was developed using 16 indicators of severity related to the hospital stay. Each patient in the dataset was assigned a Severity Score and a Severity Category (low, medium, or high severity). Finally, we compared the model scores across different subgroups. Results Data from 9 countries were included, covering between 4 and 11 seasons from 2012 to 2022, with a total of 96,190 ARI hospitalizations. Not for all severity indicators data were available for all included seasons. Subgroups with a high percentage of patients in the high Severity Category included influenza A(H1N1)pdm09, age >= 50, lower-middle income countries, and admission since the start of the COVID-19 pandemic. Conclusions The initial model successfully highlighted severity disparities across patient subgroups. Repeating this exercise with new, more complete data would allow recalibration and validation of the current model. The SevScale proved to be a promising method to define severity for influenza vaccine strain selection, surveillance, and research.
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://fisabio.portalinvestigacion.com/publicaciones/18516
url https://fisabio.portalinvestigacion.com/publicaciones/18516
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv WILEY
publisher.none.fl_str_mv WILEY
dc.source.none.fl_str_mv Influenza and Other Respiratory Viruses
ISSN: 17502640
ISSNe: 17502659
reponame:r-FISABIO. Repositorio Institucional de Producción Científica
instname:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
instname_str Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
reponame_str r-FISABIO. Repositorio Institucional de Producción Científica
collection r-FISABIO. Repositorio Institucional de Producción Científica
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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