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Seasonality of Kawasaki Disease: A Global Perspective

BACKGROUND: Understanding global seasonal patterns of Kawasaki disease (KD) may provide insight into the etiology of this vasculitis that is now the most common cause of acquired heart disease in children in developed countries worldwide. METHODS: Data from 1970-2012 from 25 countries distributed ov...

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Autores principales: Burns, Jane C., Herzog, Lauren, Fabri, Olivia, Tremoulet, Adriana H., Rodó, Xavier, Uehara, Ritei, Burgner, David, Bainto, Emelia, Pierce, David, Tyree, Mary, Cayan, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3776809/
https://www.ncbi.nlm.nih.gov/pubmed/24058585
http://dx.doi.org/10.1371/journal.pone.0074529
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author Burns, Jane C.
Herzog, Lauren
Fabri, Olivia
Tremoulet, Adriana H.
Rodó, Xavier
Uehara, Ritei
Burgner, David
Bainto, Emelia
Pierce, David
Tyree, Mary
Cayan, Daniel
author_facet Burns, Jane C.
Herzog, Lauren
Fabri, Olivia
Tremoulet, Adriana H.
Rodó, Xavier
Uehara, Ritei
Burgner, David
Bainto, Emelia
Pierce, David
Tyree, Mary
Cayan, Daniel
author_sort Burns, Jane C.
collection PubMed
description BACKGROUND: Understanding global seasonal patterns of Kawasaki disease (KD) may provide insight into the etiology of this vasculitis that is now the most common cause of acquired heart disease in children in developed countries worldwide. METHODS: Data from 1970-2012 from 25 countries distributed over the globe were analyzed for seasonality. The number of KD cases from each location was normalized to minimize the influence of greater numbers from certain locations. The presence of seasonal variation of KD at the individual locations was evaluated using three different tests: time series modeling, spectral analysis, and a Monte Carlo technique. RESULTS: A defined seasonal structure emerged demonstrating broad coherence in fluctuations in KD cases across the Northern Hemisphere extra-tropical latitudes. In the extra-tropical latitudes of the Northern Hemisphere, KD case numbers were highest in January through March and approximately 40% higher than in the months of lowest case numbers from August through October. Datasets were much sparser in the tropics and the Southern Hemisphere extra-tropics and statistical significance of the seasonality tests was weak, but suggested a maximum in May through June, with approximately 30% higher number of cases than in the least active months of February, March and October. The seasonal pattern in the Northern Hemisphere extra-tropics was consistent across the first and second halves of the sample period. CONCLUSION: Using the first global KD time series, analysis of sites located in the Northern Hemisphere extra-tropics revealed statistically significant and consistent seasonal fluctuations in KD case numbers with high numbers in winter and low numbers in late summer and fall. Neither the tropics nor the Southern Hemisphere extra-tropics registered a statistically significant aggregate seasonal cycle. These data suggest a seasonal exposure to a KD agent that operates over large geographic regions and is concentrated during winter months in the Northern Hemisphere extra-tropics.
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spelling pubmed-37768092013-09-20 Seasonality of Kawasaki Disease: A Global Perspective Burns, Jane C. Herzog, Lauren Fabri, Olivia Tremoulet, Adriana H. Rodó, Xavier Uehara, Ritei Burgner, David Bainto, Emelia Pierce, David Tyree, Mary Cayan, Daniel PLoS One Research Article BACKGROUND: Understanding global seasonal patterns of Kawasaki disease (KD) may provide insight into the etiology of this vasculitis that is now the most common cause of acquired heart disease in children in developed countries worldwide. METHODS: Data from 1970-2012 from 25 countries distributed over the globe were analyzed for seasonality. The number of KD cases from each location was normalized to minimize the influence of greater numbers from certain locations. The presence of seasonal variation of KD at the individual locations was evaluated using three different tests: time series modeling, spectral analysis, and a Monte Carlo technique. RESULTS: A defined seasonal structure emerged demonstrating broad coherence in fluctuations in KD cases across the Northern Hemisphere extra-tropical latitudes. In the extra-tropical latitudes of the Northern Hemisphere, KD case numbers were highest in January through March and approximately 40% higher than in the months of lowest case numbers from August through October. Datasets were much sparser in the tropics and the Southern Hemisphere extra-tropics and statistical significance of the seasonality tests was weak, but suggested a maximum in May through June, with approximately 30% higher number of cases than in the least active months of February, March and October. The seasonal pattern in the Northern Hemisphere extra-tropics was consistent across the first and second halves of the sample period. CONCLUSION: Using the first global KD time series, analysis of sites located in the Northern Hemisphere extra-tropics revealed statistically significant and consistent seasonal fluctuations in KD case numbers with high numbers in winter and low numbers in late summer and fall. Neither the tropics nor the Southern Hemisphere extra-tropics registered a statistically significant aggregate seasonal cycle. These data suggest a seasonal exposure to a KD agent that operates over large geographic regions and is concentrated during winter months in the Northern Hemisphere extra-tropics. Public Library of Science 2013-09-18 /pmc/articles/PMC3776809/ /pubmed/24058585 http://dx.doi.org/10.1371/journal.pone.0074529 Text en © 2013 Burns et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Burns, Jane C.
Herzog, Lauren
Fabri, Olivia
Tremoulet, Adriana H.
Rodó, Xavier
Uehara, Ritei
Burgner, David
Bainto, Emelia
Pierce, David
Tyree, Mary
Cayan, Daniel
Seasonality of Kawasaki Disease: A Global Perspective
title Seasonality of Kawasaki Disease: A Global Perspective
title_full Seasonality of Kawasaki Disease: A Global Perspective
title_fullStr Seasonality of Kawasaki Disease: A Global Perspective
title_full_unstemmed Seasonality of Kawasaki Disease: A Global Perspective
title_short Seasonality of Kawasaki Disease: A Global Perspective
title_sort seasonality of kawasaki disease: a global perspective
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3776809/
https://www.ncbi.nlm.nih.gov/pubmed/24058585
http://dx.doi.org/10.1371/journal.pone.0074529
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