Literature DB >> 23624093

The case test-negative design for studies of the effectiveness of influenza vaccine.

Ivo M Foppa1, Michael Haber, Jill M Ferdinands, David K Shay.   

Abstract

BACKGROUND: A modification to the case-control study design has become popular to assess vaccine effectiveness (VE) against viral infections. Subjects with symptomatic illness seeking medical care are tested by a highly specific polymerase chain reaction (PCR) assay for the detection of the infection of interest. Cases are subjects testing positive for the virus; those testing negative represent the comparison group. Influenza and rotavirus VE studies using this design are often termed "test-negative case-control" studies, but this design has not been formally described or evaluated. We explicitly state several assumptions of the design and examine the conditions under which VE estimates derived with it are valid and unbiased.
METHODS: We derived mathematical expressions for VE estimators obtained using this design and examined their statistical properties. We used simulation methods to test the validity of the estimators and illustrate their performance using an influenza VE study as an example.
RESULTS: Because the marginal ratio of cases to non-cases is unknown during enrollment, this design is not a traditional case-control study; we suggest the name "case test-negative" design. Under sets of increasingly general assumptions, we found that the case test-negative design can provide unbiased VE estimates. However, differences in health care-seeking behavior among cases and non-cases by vaccine status, strong viral interference, or modification of the probability of symptomatic illness by vaccine status can bias VE estimates.
CONCLUSIONS: Vaccine effectiveness estimates derived from case test-negative studies are valid and unbiased under a wide range of assumptions. However, if vaccinated cases are less severely ill and seek care less frequently than unvaccinated cases, then an appropriate adjustment for illness severity is required to avoid bias in effectiveness estimates. Viral interference will lead to a non-trivial bias in the vaccine effectiveness estimate from case test-negative studies only when incidence of influenza is extremely high and duration of transient non-specific immunity is long.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23624093     DOI: 10.1016/j.vaccine.2013.04.026

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


  103 in total

1.  Illness Severity and Work Productivity Loss Among Working Adults With Medically Attended Acute Respiratory Illnesses: US Influenza Vaccine Effectiveness Network 2012-2013.

Authors:  Joshua G Petrie; Caroline Cheng; Ryan E Malosh; Jeffrey J VanWormer; Brendan Flannery; Richard K Zimmerman; Manjusha Gaglani; Michael L Jackson; Jennifer P King; Mary Patricia Nowalk; Joyce Benoit; Anne Robertson; Swathi N Thaker; Arnold S Monto; Suzanne E Ohmit
Journal:  Clin Infect Dis       Date:  2015-11-12       Impact factor: 9.079

2.  Influenza Vaccine Effectiveness: Mysteries, Enigmas, and a Few Clues.

Authors:  Andrew T Pavia
Journal:  J Infect Dis       Date:  2016-01-06       Impact factor: 5.226

3.  Influenza vaccine effectiveness in older adults compared with younger adults over five seasons.

Authors:  Kate Russell; Jessie R Chung; Arnold S Monto; Emily T Martin; Edward A Belongia; Huong Q McLean; Manjusha Gaglani; Kempapura Murthy; Richard K Zimmerman; Mary Patricia Nowalk; Michael L Jackson; Lisa A Jackson; Brendan Flannery
Journal:  Vaccine       Date:  2018-02-28       Impact factor: 3.641

4.  Prevention of Influenza Hospitalization Among Adults in the United States, 2015-2016: Results From the US Hospitalized Adult Influenza Vaccine Effectiveness Network (HAIVEN).

Authors:  Jill M Ferdinands; Manjusha Gaglani; Emily T Martin; Don Middleton; Arnold S Monto; Kempapura Murthy; Fernanda P Silveira; H Keipp Talbot; Richard Zimmerman; Elif Alyanak; Courtney Strickland; Sarah Spencer; Alicia M Fry
Journal:  J Infect Dis       Date:  2019-09-13       Impact factor: 5.226

5.  Influenza vaccine effectiveness in households with children during the 2012-2013 season: assessments of prior vaccination and serologic susceptibility.

Authors:  Suzanne E Ohmit; Joshua G Petrie; Ryan E Malosh; Alicia M Fry; Mark G Thompson; Arnold S Monto
Journal:  J Infect Dis       Date:  2014-11-21       Impact factor: 5.226

6.  Estimating Direct and Indirect Protective Effect of Influenza Vaccination in the United States.

Authors:  Nimalan Arinaminpathy; Inkyu Kevin Kim; Paul Gargiullo; Michael Haber; Ivo M Foppa; Manoj Gambhir; Joseph Bresee
Journal:  Am J Epidemiol       Date:  2017-07-01       Impact factor: 4.897

7.  Association of Prior Vaccination With Influenza Vaccine Effectiveness in Children Receiving Live Attenuated or Inactivated Vaccine.

Authors:  Huong Q McLean; Herve Caspard; Marie R Griffin; Manjusha Gaglani; Timothy R Peters; Katherine A Poehling; Christopher S Ambrose; Edward A Belongia
Journal:  JAMA Netw Open       Date:  2018-10-05

8.  Influenza Vaccine Effectiveness in Preventing Hospitalizations in Older Patients With Chronic Obstructive Pulmonary Disease.

Authors:  Andrea S Gershon; Hannah Chung; Joan Porter; Michael A Campitelli; Sarah A Buchan; Kevin L Schwartz; Natasha S Crowcroft; Aaron Campigotto; Jonathan B Gubbay; Timothy Karnauchow; Kevin Katz; Allison J McGeer; J Dayre McNally; David C Richardson; Susan E Richardson; Laura C Rosella; Andrew E Simor; Marek Smieja; George Zahariadis; Jeffrey C Kwong
Journal:  J Infect Dis       Date:  2020-01-01       Impact factor: 5.226

9.  Assessment of influenza vaccine effectiveness in a sentinel surveillance network 2010-13, United States.

Authors:  Benjamin J Cowling; Shuo Feng; Lyn Finelli; Andrea Steffens; Ashley Fowlkes
Journal:  Vaccine       Date:  2015-11-21       Impact factor: 3.641

10.  Influenza Vaccine Effectiveness for Fully and Partially Vaccinated Children 6 Months to 8 Years Old During 2011-2012 and 2012-2013: The Importance of Two Priming Doses.

Authors:  Mark G Thompson; Jessie Clippard; Joshua G Petrie; Michael L Jackson; Huong Q McLean; Manjusha Gaglani; Evelyn C Reis; Brendan Flannery; Arnold S Monto; Lisa Jackson; Edward A Belongia; Kempapura Murthy; Richard K Zimmerman; Swathi Thaker; Alicia M Fry
Journal:  Pediatr Infect Dis J       Date:  2016-03       Impact factor: 2.129

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