Literature DB >> 15824549

Active surveillance of vaccine safety: a system to detect early signs of adverse events.

Robert L Davis1, Margarette Kolczak, Edwin Lewis, James Nordin, Michael Goodman, David K Shay, Richard Platt, Steven Black, Henry Shinefield, Robert T Chen.   

Abstract

BACKGROUND: There currently are no population-based systems in the United States to rapidly detect adverse events after newly introduced vaccines. To evaluate the feasibility of developing such systems, we used 5 years of data from 4 health maintenance organizations within the Centers for Disease Control and Prevention (CDC) Vaccine Safety Datalink.
METHODS: Within every year, each week's vaccinated children were followed for 4 weeks, and rates of adverse events were compared with rates among children of similar ages before the introduction of the new vaccine. We assessed risks for intussusception after rotavirus vaccination and risks for fever, seizures, and other neurologic adverse events after the change from whole cell diphtheria-tetanus-pertussis (DTPw) to acellular DTP vaccine (DTPa). We used sequential probability ratio testing, adjusted for age, sex, calendar time, season, and HMO, and with a stopping value based on the probability of an adverse event under the null hypothesis and under a preset alternative hypothesis.
RESULTS: We detected an increase in intussusception after 2589 vaccine doses of rotavirus vaccine, about the same time initial reports of intussusception were made to the Vaccine Adverse Events Reporting System. Decreases in risk for fever, seizures, and other abnormal neurologic events became detectable within 12 weeks, 42 weeks, and 18 months, respectively, after the change from DTPw to DTPa.
CONCLUSIONS: We conclude that it is feasible to develop systems for rapid and routine population-based assessments of new vaccine safety.

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Year:  2005        PMID: 15824549     DOI: 10.1097/01.ede.0000155506.05636.a4

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  32 in total

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Authors:  Jeffrey K Aronson; Manfred Hauben; Andrew Bate
Journal:  Drug Saf       Date:  2012-05-01       Impact factor: 5.606

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Authors:  Joshua Vogel; Jeffrey S Brown; Thomas Land; Richard Platt; Michael Klompas
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4.  Vaccine Case-Population: A New Method for Vaccine Safety Surveillance.

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Journal:  Drug Saf       Date:  2016-12       Impact factor: 5.606

5.  Surveillance for Guillain-Barré syndrome after influenza vaccination among the Medicare population, 2009-2010.

Authors:  Dale R Burwen; Sukhminder K Sandhu; Thomas E MaCurdy; Jeffrey A Kelman; Jonathan M Gibbs; Bruno Garcia; Marianthi Markatou; Richard A Forshee; Hector S Izurieta; Robert Ball
Journal:  Am J Public Health       Date:  2012-02-16       Impact factor: 9.308

6.  Data quality assessment for comparative effectiveness research in distributed data networks.

Authors:  Jeffrey S Brown; Michael Kahn; Sengwee Toh
Journal:  Med Care       Date:  2013-08       Impact factor: 2.983

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Authors:  Anas Alsara; David O Warner; Guangxi Li; Vitaly Herasevich; Ognjen Gajic; Daryl J Kor
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8.  Alpha spending for historical versus surveillance Poisson data with CMaxSPRT.

Authors:  Ivair R Silva; Wilson M Lopes; Philipe Dias; W Katherine Yih
Journal:  Stat Med       Date:  2019-01-28       Impact factor: 2.373

9.  Type I Error Probability Spending for Post-Market Drug and Vaccine Safety Surveillance With Poisson Data.

Authors:  Ivair R Silva
Journal:  Methodol Comput Appl Probab       Date:  2017-08-03       Impact factor: 1.147

10.  Rapid identification of myocardial infarction risk associated with diabetes medications using electronic medical records.

Authors:  John S Brownstein; Shawn N Murphy; Allison B Goldfine; Richard W Grant; Margarita Sordo; Vivian Gainer; Judith A Colecchi; Anil Dubey; David M Nathan; John P Glaser; Isaac S Kohane
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