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Heterogeneous estimates of influenza virus types A and B in the elderly: Results of a meta‐regression analysis

Influenza has many age‐dependent characteristics. A previous systematic review of randomized controlled trials showed that the detection rate of influenza B was higher in children than in non‐elderly adults. However, no comprehensive reviews have targeted the elderly, who carry the main burden of di...

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Autores principales: Panatto, Donatella, Signori, Alessio, Lai, Piero L., Gasparini, Roberto, Amicizia, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005586/
https://www.ncbi.nlm.nih.gov/pubmed/29498477
http://dx.doi.org/10.1111/irv.12550
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author Panatto, Donatella
Signori, Alessio
Lai, Piero L.
Gasparini, Roberto
Amicizia, Daniela
author_facet Panatto, Donatella
Signori, Alessio
Lai, Piero L.
Gasparini, Roberto
Amicizia, Daniela
author_sort Panatto, Donatella
collection PubMed
description Influenza has many age‐dependent characteristics. A previous systematic review of randomized controlled trials showed that the detection rate of influenza B was higher in children than in non‐elderly adults. However, no comprehensive reviews have targeted the elderly, who carry the main burden of disease. We aimed to quantify the relative detection rates of virus types A and B among the elderly, to identify factors affecting these proportions, and to compare type distribution among seniors and younger age‐classes. A comprehensive literature search was conducted to identify multiseason studies reporting A and B virus type distributions in the elderly. A random‐effects meta‐analysis was planned to quantify the prevalence of type B among elderly subjects with laboratory‐confirmed influenza. Meta‐regression was then applied to explain the sources of heterogeneity. Across 27 estimates identified, the type B detection rate among seniors varied from 5% to 37%. Meta‐analysis was not feasible owing to high heterogeneity (I (2 )= 98.5%). Meta‐regression analysis showed that study characteristics, such as number of seasons included, hemisphere, and setting, could have contributed to the heterogeneity observed. The final adjusted model showed that studies that included both outpatients and inpatients reported a significantly (P = .024) lower proportion than those involving outpatients only. The detection rate of type B among the elderly was generally lower than in children/adolescents, but not non‐elderly adults. Influenza virus type B has a relatively low detection rate in older adults, especially in settings covering both inpatients and outpatients. Public health implications are discussed.
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spelling pubmed-60055862018-07-01 Heterogeneous estimates of influenza virus types A and B in the elderly: Results of a meta‐regression analysis Panatto, Donatella Signori, Alessio Lai, Piero L. Gasparini, Roberto Amicizia, Daniela Influenza Other Respir Viruses Formal Systematic Review Influenza has many age‐dependent characteristics. A previous systematic review of randomized controlled trials showed that the detection rate of influenza B was higher in children than in non‐elderly adults. However, no comprehensive reviews have targeted the elderly, who carry the main burden of disease. We aimed to quantify the relative detection rates of virus types A and B among the elderly, to identify factors affecting these proportions, and to compare type distribution among seniors and younger age‐classes. A comprehensive literature search was conducted to identify multiseason studies reporting A and B virus type distributions in the elderly. A random‐effects meta‐analysis was planned to quantify the prevalence of type B among elderly subjects with laboratory‐confirmed influenza. Meta‐regression was then applied to explain the sources of heterogeneity. Across 27 estimates identified, the type B detection rate among seniors varied from 5% to 37%. Meta‐analysis was not feasible owing to high heterogeneity (I (2 )= 98.5%). Meta‐regression analysis showed that study characteristics, such as number of seasons included, hemisphere, and setting, could have contributed to the heterogeneity observed. The final adjusted model showed that studies that included both outpatients and inpatients reported a significantly (P = .024) lower proportion than those involving outpatients only. The detection rate of type B among the elderly was generally lower than in children/adolescents, but not non‐elderly adults. Influenza virus type B has a relatively low detection rate in older adults, especially in settings covering both inpatients and outpatients. Public health implications are discussed. John Wiley and Sons Inc. 2018-03-23 2018-07 /pmc/articles/PMC6005586/ /pubmed/29498477 http://dx.doi.org/10.1111/irv.12550 Text en © 2018 The Authors. Influenza and Other Respiratory Viruses Published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Formal Systematic Review
Panatto, Donatella
Signori, Alessio
Lai, Piero L.
Gasparini, Roberto
Amicizia, Daniela
Heterogeneous estimates of influenza virus types A and B in the elderly: Results of a meta‐regression analysis
title Heterogeneous estimates of influenza virus types A and B in the elderly: Results of a meta‐regression analysis
title_full Heterogeneous estimates of influenza virus types A and B in the elderly: Results of a meta‐regression analysis
title_fullStr Heterogeneous estimates of influenza virus types A and B in the elderly: Results of a meta‐regression analysis
title_full_unstemmed Heterogeneous estimates of influenza virus types A and B in the elderly: Results of a meta‐regression analysis
title_short Heterogeneous estimates of influenza virus types A and B in the elderly: Results of a meta‐regression analysis
title_sort heterogeneous estimates of influenza virus types a and b in the elderly: results of a meta‐regression analysis
topic Formal Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005586/
https://www.ncbi.nlm.nih.gov/pubmed/29498477
http://dx.doi.org/10.1111/irv.12550
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