Hospitalisation with infection, asthma and allergy in Kawasaki disease patients and their families: Genealogical analysis using linked population data
dc.contributor.author | Webster, R. | |
dc.contributor.author | Carter, K. | |
dc.contributor.author | Warrington, N. | |
dc.contributor.author | Loh, A. | |
dc.contributor.author | Zaloumis, S. | |
dc.contributor.author | Kuijpers, T. | |
dc.contributor.author | Palmer, L. | |
dc.contributor.author | Burgner, D. | |
dc.contributor.editor | Dubé, M.-P. | |
dc.date.issued | 2011 | |
dc.description.abstract | Background: Kawasaki disease results from an abnormal immunological response to one or more infectious triggers. We hypothesised that heritable differences in immune responses in Kawasaki disease-affected children and their families would result in different epidemiological patterns of other immune-related conditions. We investigated whether hospitalisation for infection and asthma/allergy were different in Kawasaki disease-affected children and their relatives. Methods/Major Findings: We used Western Australian population-linked health data from live births (1970–2006) to compare patterns of hospital admissions in Kawasaki disease cases, age- and sex-matched controls, and their relatives. There were 295 Kawasaki disease cases and 598 age- and sex-matched controls, with 1,636 and 3,780 relatives, respectively. Compared to controls, cases were more likely to have been admitted at least once with an infection (cases, 150 admissions (50.8%) vs controls, 210 admissions (35.1%); odds ratio (OR) = 1.9, 95% confidence interval (CI) 1.4–2.6, P = 7.2×10−6), and with asthma/allergy (cases, 49 admissions (16.6%) vs controls, 42 admissions (7.0%); OR = 2.6, 95% CI 1.7–4.2, P = 1.3×10−5). Cases also had more admissions per person with infection (cases, median 2 admissions, 95% CI 1–5, vs controls, median 1 admission, 95% CI 1–4, P = 1.09×10−5). The risk of admission with infection was higher in the first degree relatives of Kawasaki disease cases compared to those of controls, but the differences were not significant. Conclusion: Differences in the immune phenotype of children who develop Kawasaki disease may influence the severity of other immune-related conditions, with some similar patterns observed in relatives. These data suggest the influence of shared heritable factors in these families. | |
dc.description.statementofresponsibility | Rebecca J. Webster, Kim W. Carter, Nicole M. Warrington, Angeline M. Loh, Sophie Zaloumis, Taco W. Kuijpers, Lyle J. Palmer, David P. Burgner | |
dc.identifier.citation | PLoS One, 2011; 6(11):e28004-1-e28004-7 | |
dc.identifier.doi | 10.1371/journal.pone.0028004 | |
dc.identifier.issn | 1932-6203 | |
dc.identifier.issn | 1932-6203 | |
dc.identifier.orcid | Palmer, L. [0000-0002-1628-3055] | |
dc.identifier.uri | http://hdl.handle.net/2440/84934 | |
dc.language.iso | en | |
dc.publisher | Public Library of Science | |
dc.rights | © 2011 Webster et al. 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 credited. | |
dc.source.uri | https://doi.org/10.1371/journal.pone.0028004 | |
dc.subject | Humans | |
dc.subject | Communicable Diseases | |
dc.subject | Asthma | |
dc.subject | Mucocutaneous Lymph Node Syndrome | |
dc.subject | Hospitalization | |
dc.subject | Incidence | |
dc.subject | Linear Models | |
dc.subject | Case-Control Studies | |
dc.subject | Family | |
dc.subject | Public Health | |
dc.subject | Age of Onset | |
dc.subject | Age Distribution | |
dc.subject | Genealogy and Heraldry | |
dc.subject | Adolescent | |
dc.subject | Adult | |
dc.subject | Child | |
dc.subject | Child, Preschool | |
dc.subject | Infant | |
dc.subject | Infant, Newborn | |
dc.subject | Western Australia | |
dc.subject | Female | |
dc.subject | Male | |
dc.subject | Databases as Topic | |
dc.subject | Young Adult | |
dc.title | Hospitalisation with infection, asthma and allergy in Kawasaki disease patients and their families: Genealogical analysis using linked population data | |
dc.type | Journal article | |
pubs.publication-status | Published |
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