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Clustering and climate associations of Kawasaki Disease in San Diego County suggest environmental triggers

Permanent link
https://hdl.handle.net/10037/14828
DOI
https://doi.org/10.1038/s41598-018-33124-4
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Date
2018-11-12
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Author
Rypdal, Martin wibe; Rypdal, Veronika Gjertsen; Burney, Jennifer A.; Cayan, Daniel; Bainto, Emelia; Skochko, Shannon; Tremoulet, Adriana H.; Creamean, Jessie; Shimizu, Chisato; Kim, Ji-Hoon; Burns, Jane C.
Abstract
Kawasaki Disease (KD) is the most common cause of pediatric acquired heart disease, but its etiology remains unknown. We examined 1164 cases of KD treated at a regional children’s hospital in San Diego over a period of 15 years and uncovered novel structure to disease incidence. KD cases showed a well-defined seasonal variability, but also clustered temporally at much shorter time scales (days to weeks), and spatiotemporally on time scales of up to 10 days and spatial scales of 10–100 km. Temporal clusters of KD cases were associated with strongly significant regional-scale air temperature anomalies and consistent larger-scale atmospheric circulation patterns. Gene expression analysis further revealed a natural partitioning of KD patients into distinct groups based on their gene expression pattern, and that the different groups were associated with certain clinical characteristics that also exhibit temporal autocorrelation. Our data suggest that one or more environmental triggers exist, and that episodic exposures are modulated at least in part by regional weather conditions. We propose that characterization of the environmental factors that trigger KD in genetically susceptible children should focus on aerosols inhaled by patients who share common disease characteristics.
Description
Source at https://doi.org/10.1038/s41598-018-33124-4.
Publisher
Nature Research
Citation
Rypdal, M.W., Rypdal, V.G., Burney, J.A., Cayan, D., Bainto, E., Skochko, S., ... Burns, J.C. (2018). Clustering and climate associations of Kawasaki Disease in San Diego County suggest environmental triggers. Scientific Reports, 8, 16140. https://doi.org/10.1038/s41598-018-33124-4
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