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Ontology-Based Combinatorial Comparative Analysis of Adverse Events Associated with Killed and Live Influenza Vaccines

dc.contributor.authorMarkel, Howard
dc.contributor.authorSarntivijai, Sirarat
dc.contributor.authorXiang, Zuoshuang
dc.contributor.authorShedden, Kerby A
dc.contributor.authorOmenn, Gilbert S
dc.contributor.authorAthey, Brian D
dc.contributor.authorHe, Yongqun
dc.date.accessioned2013-08-05T15:36:01Z
dc.date.available2013-08-05T15:36:01Z
dc.date.issued2012-11-28
dc.identifier.citationPLoS ONE, 7(11), 2012 <http://hdl.handle.net/2027.42/99110>en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/99110
dc.description.abstractVaccine adverse events (VAEs) are adverse bodily changes occurring after vaccination. Understanding the adverse event (AE) profiles is a crucial step to identify serious AEs. Two different types of seasonal influenza vaccines have been used on the market: trivalent (killed) inactivated influenza vaccine (TIV) and trivalent live attenuated influenza vaccine (LAIV). Different adverse event profiles induced by these two groups of seasonal influenza vaccines were studied based on the data drawn from the CDC Vaccine Adverse Event Report System (VAERS). Extracted from VAERS were 37,621 AE reports for four TIVs (Afluria, Fluarix, Fluvirin, and Fluzone) and 3,707 AE reports for the only LAIV (FluMist). The AE report data were analyzed by a novel combinatorial, ontology-based detection of AE method (CODAE). CODAE detects AEs using Proportional Reporting Ratio (PRR), Chi-square significance test, and base level filtration, and groups identified AEs by ontology-based hierarchical classification. In total, 48 TIV-enriched and 68 LAIV-enriched AEs were identified (PRR.2, Chi-square score .4, and the number of cases .0.2% of total reports). These AE terms were classified using the Ontology of Adverse Events (OAE), MedDRA, and SNOMED-CT. The OAE method provided better classification results than the two other methods. Thirteen out of 48 TIV-enriched AEs were related to neurological and muscular processing such as paralysis, movement disorders, and muscular weakness. In contrast, 15 out of 68 LAIV-enriched AEs were associated with inflammatory response and respiratory system disorders. There were evidences of two severe adverse events (Guillain-Barre Syndrome and paralysis) present in TIV. Although these severe adverse events were at low incidence rate, they were found to be more significantly enriched in TIVvaccinated patients than LAIV-vaccinated patients. Therefore, our novel combinatorial bioinformatics analysis discovered that LAIV had lower chance of inducing these two severe adverse events than TIV. In addition, our meta-analysis found that all previously reported positive correlation between GBS and influenza vaccine immunization were based on trivalent influenza vaccines instead of monovalent influenza vaccines.en_US
dc.description.sponsorshipThis work was supported by the National Institutes of Health (NIH) grant U54 DA021519 for the National Center for Integrative Biomedical Informatics and NIH National Institute of Allergy and Infectious Diseases (NIAID) grant R01AI081062. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.en_US
dc.language.isoen_USen_US
dc.publisherPLoS ONEen_US
dc.titleOntology-Based Combinatorial Comparative Analysis of Adverse Events Associated with Killed and Live Influenza Vaccinesen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumHistory of Medicine, The Center foren_US
dc.contributor.affiliationumNational Center for Integrative Biomedical Informaticsen_US
dc.contributor.affiliationumCenter for Computational Medicine and Bioinformaticsen_US
dc.contributor.affiliationumUnit of Laboratory Animal Medicineen_US
dc.contributor.affiliationumDepartment of Microbiology and Immunologyen_US
dc.contributor.affiliationumSchool of Public Healthen_US
dc.contributor.affiliationumMedical Schoolen_US
dc.contributor.affiliationumDepartment of Pediatricsen_US
dc.contributor.affiliationumDepartment of Psychiatryen_US
dc.contributor.affiliationumDepartment of Human Geneticsen_US
dc.contributor.affiliationumDepartment of Internal Medicineen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/99110/1/journal.pone.0049941.pdf
dc.identifier.sourcePLoS ONEen_US
dc.owningcollnameHistory of Medicine, The Center for the


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