Literature DB >> 22361304

Signal identification and evaluation for risk of febrile seizures in children following trivalent inactivated influenza vaccine in the Vaccine Safety Datalink Project, 2010-2011.

Alison Tse1, Hung Fu Tseng, Sharon K Greene, Claudia Vellozzi, Grace M Lee.   

Abstract

In fall 2010 in the southern hemisphere, an increased risk of febrile seizures was noted in young children in Australia in the 24 h after receipt of trivalent inactivated influenza vaccine (TIV) manufactured by CSL Biotherapies. Although the CSL TIV vaccine was not recommended for use in young children in the US, during the 2010-2011 influenza season near real-time surveillance was conducted for febrile seizures in the 0-1 days following first dose TIV in a cohort of 206,174 vaccinated children ages 6 through 59 months in the Vaccine Safety Datalink Project. On a weekly basis, surveillance was conducted with the primary approach of a self-controlled risk interval design and the secondary approach of a current vs. historical vaccinee design. Sequential statistical methods were employed to account for repeated analyses of accumulating data. Signals for seizures based on computerized data were identified in mid November 2010 using a current vs. historical design and in late December 2010 using a self-controlled risk interval design. Further signal evaluation was conducted with chart-confirmed febrile seizure cases using only data from the primary approach (i.e. self-controlled risk interval design). The magnitude of the incidence rate ratio and risk difference comparing risk of seizures in the 0-1 days vs. 14-20 days following TIV differed by receipt of concomitant 13-valent pneumococcal conjugate vaccine (PCV13). Among children 6-59 months of age, the incidence rate ratio (IRR) for TIV adjusted for concomitant PCV13 was 2.4 (95% CI 1.2, 4.7) while the IRR for PCV13 adjusted for concomitant TIV was 2.5 (95% CI 1.3, 4.7). The IRR for concomitant TIV and PCV13 was 5.9 (95% CI 3.1, 11.3). Risk difference estimates varied by age due to the varying baseline risk for seizures in young children, with the highest estimates occurring at 16 months (12.5 per 100,000 doses for TIV without concomitant PCV13, 13.7 per 100,000 doses for PCV13 without concomitant TIV, and 44.9 per 100,000 doses for concomitant TIV and PCV13) and the lowest estimates occurring at 59 months (1.1 per 100,000 doses for TIV without concomitant PCV13, 1.2 per 100,000 doses for PCV13 without concomitant TIV, and 4.0 per 100,000 doses for concomitant TIV and PCV13). Incidence rate ratio and risk difference estimates were lower for children receiving TIV without concomitant PCV13 or PCV13 without concomitant TIV. Because of the importance of preventing influenza and pneumococcal infections and associated complications, our findings should be placed in a benefit-risk framework to ensure that population health benefits are maximized. Copyright Â
© 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22361304     DOI: 10.1016/j.vaccine.2012.01.027

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  30 in total

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Journal:  J Prev Med Hyg       Date:  2018-05-30

2.  Orphan therapies: making best use of postmarket data.

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Journal:  J Gen Intern Med       Date:  2014-08       Impact factor: 5.128

3.  Fever After Influenza, Diphtheria-Tetanus-Acellular Pertussis, and Pneumococcal Vaccinations.

Authors:  Emmanuel B Walter; Nicola P Klein; A Patricia Wodi; Wes Rountree; Christopher A Todd; Amy Wiesner; Jonathan Duffy; Paige L Marquez; Karen R Broder
Journal:  Pediatrics       Date:  2020-02-06       Impact factor: 7.124

4.  The use of natural language processing to identify Tdap-related local reactions at five health care systems in the Vaccine Safety Datalink.

Authors:  Chengyi Zheng; Wei Yu; Fagen Xie; Wansu Chen; Cheryl Mercado; Lina S Sy; Lei Qian; Sungching Glenn; Gina Lee; Hung Fu Tseng; Jonathan Duffy; Lisa A Jackson; Matthew F Daley; Brad Crane; Huong Q McLean; Steven J Jacobsen
Journal:  Int J Med Inform       Date:  2019-04-13       Impact factor: 4.046

5.  Demographic characteristics of members of the Vaccine Safety Datalink (VSD): A comparison with the United States population.

Authors:  Lakshmi Sukumaran; Natalie L McCarthy; Rongxia Li; Eric S Weintraub; Steven J Jacobsen; Simon J Hambidge; Lisa A Jackson; Allison L Naleway; Berwick Chan; Biwen Tao; Julianne Gee
Journal:  Vaccine       Date:  2015-07-23       Impact factor: 3.641

Review 6.  Safety monitoring in the Vaccine Adverse Event Reporting System (VAERS).

Authors:  Tom T Shimabukuro; Michael Nguyen; David Martin; Frank DeStefano
Journal:  Vaccine       Date:  2015-07-22       Impact factor: 3.641

7.  The use of relative incidence ratios in self-controlled case series studies: an overview.

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8.  Risk of febrile seizures after first dose of measles-mumps-rubella-varicella vaccine: a population-based cohort study.

Authors:  Shannon E MacDonald; Douglas C Dover; Kimberley A Simmonds; Lawrence W Svenson
Journal:  CMAJ       Date:  2014-06-09       Impact factor: 8.262

9.  The effect of antipyretics on immune response and fever following receipt of inactivated influenza vaccine in young children.

Authors:  Emmanuel B Walter; Christoph P Hornik; Lisa Grohskopf; Charles E McGee; Christopher A Todd; Oidda I Museru; Lynn Harrington; Karen R Broder
Journal:  Vaccine       Date:  2017-10-19       Impact factor: 3.641

10.  Minimizing signal detection time in postmarket sequential analysis: balancing positive predictive value and sensitivity.

Authors:  Judith C Maro; Jeffrey S Brown; Gerald J Dal Pan; Martin Kulldorff
Journal:  Pharmacoepidemiol Drug Saf       Date:  2014-04-03       Impact factor: 2.890

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