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Snotwatch: an ecological analysis of the relationship between febrile seizures and respiratory virus activity

BACKGROUND: Febrile seizures are the commonest type of seizure in occurring in the first few years of life, mostly affecting children aged six months to five years old. While largely benign, the incidence of each febrile seizure increases the risk of recurrence, afebrile seizures and epilepsy. Virus...

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Autores principales: Sawires, Rana, Kuldorff, Martin, Fahey, Michael, Clothier, Hazel, Buttery, Jim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9215000/
https://www.ncbi.nlm.nih.gov/pubmed/35733118
http://dx.doi.org/10.1186/s12887-022-03222-4
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author Sawires, Rana
Kuldorff, Martin
Fahey, Michael
Clothier, Hazel
Buttery, Jim
author_facet Sawires, Rana
Kuldorff, Martin
Fahey, Michael
Clothier, Hazel
Buttery, Jim
author_sort Sawires, Rana
collection PubMed
description BACKGROUND: Febrile seizures are the commonest type of seizure in occurring in the first few years of life, mostly affecting children aged six months to five years old. While largely benign, the incidence of each febrile seizure increases the risk of recurrence, afebrile seizures and epilepsy. Viruses are the most frequent cause of febrile illnesses in which a febrile seizure occurs. Febrile seizure presentation patterns appear to follow a seasonal trend. AIMS: To identify patterns of febrile seizure incidence across different seasons with specific viral activity, and to establish a framework for analysing virus circulation data with common illnesses within a shared region and population. SETTING: Our study was a study of febrile seizure presentations in Victoria, Australia and respiratory virus detection. PARTICIPANTS: We obtained independent datasets of emergency department febrile seizure presentations at Monash Health and all respiratory multiplex PCR tests performed at Monash Health from January 2010–December 2019 to observe common trends in virus circulation and febrile seizure incidence. STUDY DESIGN: Trends were studied temporally through mixed effects Poisson regression analysis of the monthly incidence of febrile seizures and the rate of positive PCR tests. Peak viral seasons (95th centile incidence) were compared to median viral circulation (50th centile incidence) to calculate peak season risk ratios. RESULTS: We found a 1.75–2.06 annual risk ratio of febrile seizure incidence in June–September. Temporal analysis of our data showed this peak in febrile seizures was attributable to circulating viruses in this season, and virus modelling showed correlation with increased rates of positive Influenza A (1.48 peak season risk ratio), Influenza B (1.31 peak season risk ratio), Human metapneumovirus (1.19 peak season risk ratio) and Respiratory Syncytial Virus (1.53 peak season risk ratio) on PCR testing. CONCLUSION: Our ecological study statistically demonstrates the recognised winter peak in febrile seizure incidence and ascribes the seasonal relationship to several viral infections which affect the community, including a novel association with Human metapneumovirus. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-022-03222-4.
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spelling pubmed-92150002022-06-23 Snotwatch: an ecological analysis of the relationship between febrile seizures and respiratory virus activity Sawires, Rana Kuldorff, Martin Fahey, Michael Clothier, Hazel Buttery, Jim BMC Pediatr Research BACKGROUND: Febrile seizures are the commonest type of seizure in occurring in the first few years of life, mostly affecting children aged six months to five years old. While largely benign, the incidence of each febrile seizure increases the risk of recurrence, afebrile seizures and epilepsy. Viruses are the most frequent cause of febrile illnesses in which a febrile seizure occurs. Febrile seizure presentation patterns appear to follow a seasonal trend. AIMS: To identify patterns of febrile seizure incidence across different seasons with specific viral activity, and to establish a framework for analysing virus circulation data with common illnesses within a shared region and population. SETTING: Our study was a study of febrile seizure presentations in Victoria, Australia and respiratory virus detection. PARTICIPANTS: We obtained independent datasets of emergency department febrile seizure presentations at Monash Health and all respiratory multiplex PCR tests performed at Monash Health from January 2010–December 2019 to observe common trends in virus circulation and febrile seizure incidence. STUDY DESIGN: Trends were studied temporally through mixed effects Poisson regression analysis of the monthly incidence of febrile seizures and the rate of positive PCR tests. Peak viral seasons (95th centile incidence) were compared to median viral circulation (50th centile incidence) to calculate peak season risk ratios. RESULTS: We found a 1.75–2.06 annual risk ratio of febrile seizure incidence in June–September. Temporal analysis of our data showed this peak in febrile seizures was attributable to circulating viruses in this season, and virus modelling showed correlation with increased rates of positive Influenza A (1.48 peak season risk ratio), Influenza B (1.31 peak season risk ratio), Human metapneumovirus (1.19 peak season risk ratio) and Respiratory Syncytial Virus (1.53 peak season risk ratio) on PCR testing. CONCLUSION: Our ecological study statistically demonstrates the recognised winter peak in febrile seizure incidence and ascribes the seasonal relationship to several viral infections which affect the community, including a novel association with Human metapneumovirus. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-022-03222-4. BioMed Central 2022-06-22 /pmc/articles/PMC9215000/ /pubmed/35733118 http://dx.doi.org/10.1186/s12887-022-03222-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sawires, Rana
Kuldorff, Martin
Fahey, Michael
Clothier, Hazel
Buttery, Jim
Snotwatch: an ecological analysis of the relationship between febrile seizures and respiratory virus activity
title Snotwatch: an ecological analysis of the relationship between febrile seizures and respiratory virus activity
title_full Snotwatch: an ecological analysis of the relationship between febrile seizures and respiratory virus activity
title_fullStr Snotwatch: an ecological analysis of the relationship between febrile seizures and respiratory virus activity
title_full_unstemmed Snotwatch: an ecological analysis of the relationship between febrile seizures and respiratory virus activity
title_short Snotwatch: an ecological analysis of the relationship between febrile seizures and respiratory virus activity
title_sort snotwatch: an ecological analysis of the relationship between febrile seizures and respiratory virus activity
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9215000/
https://www.ncbi.nlm.nih.gov/pubmed/35733118
http://dx.doi.org/10.1186/s12887-022-03222-4
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