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Klein NP, Bartlett J, Fireman B, Aukes L, Buck PO, Krishnarajah G, Baxter R. Waning protection following 5 doses of a 3-component diphtheria, tetanus, and acellular pertussis vaccine. Vaccine 2017; 35:3395-3400. [PMID: 28506516 DOI: 10.1016/j.vaccine.2017.05.008] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2017] [Revised: 04/27/2017] [Accepted: 05/03/2017] [Indexed: 11/15/2022]
Abstract
BACKGROUND The effectiveness of diphtheria, tetanus, and acellular pertussis (DTaP) vaccines wanes substantially after the 5th dose given at ages 4-6years, but has not been described following 5 doses of the same type of DTaP vaccine. We investigated waning effectiveness against pertussis in California over nearly 10years, which included large pertussis outbreaks, following 5 doses of GSK DTaP vaccines (DTaP3). METHODS We conducted a case-control study (NCT02447978) of children who received 5 doses of DTaP at Kaiser Permanente Northern California from 01/2006 through 03/2015. We compared time since the 5th dose in confirmed pertussis polymerase chain reaction (PCR)-positive cases with pertussis PCR-negative controls. We used logistic regression adjusted for calendar time, age, sex, race, and service area to estimate the effect of time since the 5th DTaP dose on the odds of pertussis. Our primary analysis evaluated waning after 5 doses of DTaP3. We also examined waning after 5 doses of any type of DTaP vaccines. RESULTS Our primary analysis compared 340 pertussis cases diagnosed at ages 4-12years with 3841 controls. The any DTaP analysis compared 462 pertussis cases with 5649 controls. The majority of all DTaP doses in the study population were DTaP3 (86.8%). Children who were more remote from their 5th dose were less protected than were children whose 5th dose was more recent; the adjusted odds of pertussis increased by 1.27 per year (95% CI 1.10, 1.46) after 5 doses of DTaP3 and by 1.30 per year (95% CI 1.15, 1.46) after any 5 DTaP vaccines doses. CONCLUSIONS Waning protection after DTaP3 was similar to that following 5 doses of any type of DTaP vaccines. This finding is not unexpected as most of the DTaP vaccines administered were DTaP3. Following 5 doses of DTaP3 vaccines, protection from pertussis waned 27% per year on average. NCT number: NCT02447978.
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Affiliation(s)
- Nicola P Klein
- Kaiser Permanente Vaccine Study Center, 1 Kaiser Plaza, 16(th) Floor, Oakland, CA 94612, United States.
| | - Joan Bartlett
- Kaiser Permanente Vaccine Study Center, 1 Kaiser Plaza, 16(th) Floor, Oakland, CA 94612, United States.
| | - Bruce Fireman
- Kaiser Permanente Vaccine Study Center, 1 Kaiser Plaza, 16(th) Floor, Oakland, CA 94612, United States.
| | - Laurie Aukes
- Kaiser Permanente Vaccine Study Center, 1 Kaiser Plaza, 16(th) Floor, Oakland, CA 94612, United States.
| | - Philip O Buck
- GSK, US Health Outcomes & Epidemiology - Vaccines, 5 Crescent Drive, Philadelphia, PA 19112, United States.
| | - Girishanthy Krishnarajah
- GSK, US Health Outcomes & Epidemiology - Vaccines, 5 Crescent Drive, Philadelphia, PA 19112, United States.
| | - Roger Baxter
- Kaiser Permanente Vaccine Study Center, 1 Kaiser Plaza, 16(th) Floor, Oakland, CA 94612, United States
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202
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Penttinen PM, Friede MH. Decreased effectiveness of the influenza A(H1N1)pdm09 strain in live attenuated influenza vaccines: an observational bias or a technical challenge? ACTA ACUST UNITED AC 2017; 21:30350. [PMID: 27684999 PMCID: PMC5073203 DOI: 10.2807/1560-7917.es.2016.21.38.30350] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Accepted: 09/22/2016] [Indexed: 01/31/2023]
Affiliation(s)
- Pasi M Penttinen
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
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203
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Ferdinands JM, Foppa IM, Fry AM, Flannery BL, Belongia EA, Jackson ML. RE: "INVITED COMMENTARY: BEWARE THE TEST-NEGATIVE DESIGN". Am J Epidemiol 2017; 185:613. [PMID: 28338844 DOI: 10.1093/aje/kww227] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Indexed: 12/18/2022] Open
Affiliation(s)
| | - Ivo M. Foppa
- Centers for Disease Control and Prevention, Atlanta, GA
| | - Alicia M. Fry
- Centers for Disease Control and Prevention, Atlanta, GA
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204
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Leung VK, Cowling BJ, Feng S, Sullivan SG. Concordance of interim and final estimates of influenza vaccine effectiveness: a systematic review. ACTA ACUST UNITED AC 2017; 21:30202. [PMID: 27124573 DOI: 10.2807/1560-7917.es.2016.21.16.30202] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2015] [Accepted: 01/25/2016] [Indexed: 11/20/2022]
Abstract
The World Health Organization's Global Influenza Surveillance and Response System meets twice a year to generate a recommendation for the composition of the seasonal influenza vaccine. Interim vaccine effectiveness (VE) estimates provide a preliminary indication of influenza vaccine performance during the season and may be useful for decision making. We reviewed 17 pairs of studies reporting 33 pairs of interim and final estimates using the test-negative design to evaluate whether interim estimates can reliably predict final estimates. We examined features of the study design that may be correlated with interim estimates being substantially different from their final estimates and identified differences related to change in study period and concomitant changes in sample size, proportion vaccinated and proportion of cases. An absolute difference of no more than 10% between interim and final estimates was found for 18 of 33 reported pairs of estimates, including six of 12 pairs reporting VE against any influenza, six of 10 for influenza A(H1N1)pdm09, four of seven for influenza A(H3N2) and two of four for influenza B. While we identified inconsistencies in the methods, the similarities between interim and final estimates support the utility of generating and disseminating preliminary estimates of VE while virus circulation is ongoing.
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Affiliation(s)
- Vivian K Leung
- World Health Organization Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
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205
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Fielding JE. Influenza vaccine effectiveness using the test-negative design: comparability and methodological challenges in meta-analyses. THE LANCET RESPIRATORY MEDICINE 2017; 5:161-162. [PMID: 28189521 DOI: 10.1016/s2213-2600(17)30044-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2016] [Accepted: 01/03/2017] [Indexed: 11/16/2022]
Affiliation(s)
- James E Fielding
- Victorian Infectious Diseases Reference Laboratory, Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia.
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206
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Schwartz LM, Halloran ME, Rowhani-Rahbar A, Neuzil KM, Victor JC. Rotavirus vaccine effectiveness in low-income settings: An evaluation of the test-negative design. Vaccine 2016; 35:184-190. [PMID: 27876198 PMCID: PMC5154240 DOI: 10.1016/j.vaccine.2016.10.077] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Revised: 10/24/2016] [Accepted: 10/28/2016] [Indexed: 12/22/2022]
Abstract
BACKGROUND The test-negative design (TND), an epidemiologic method currently used to measure rotavirus vaccine (RV) effectiveness, compares the vaccination status of rotavirus-positive cases and rotavirus-negative controls meeting a pre-defined case definition for acute gastroenteritis. Despite the use of this study design in low-income settings, the TND has not been evaluated to measure rotavirus vaccine effectiveness. METHODS This study builds upon prior methods to evaluate the use of the TND for influenza vaccine using a randomized controlled clinical trial database. Test-negative vaccine effectiveness (VE-TND) estimates were derived from three large randomized placebo-controlled trials (RCTs) of monovalent (RV1) and pentavalent (RV5) rotavirus vaccines in sub-Saharan Africa and Asia. Derived VE-TND estimates were compared to the original RCT vaccine efficacy estimates (VE-RCTs). The core assumption of the TND (i.e., rotavirus vaccine has no effect on rotavirus-negative diarrhea) was also assessed. RESULTS TND vaccine effectiveness estimates were nearly equivalent to original RCT vaccine efficacy estimates. Neither RV had a substantial effect on rotavirus-negative diarrhea. CONCLUSIONS This study supports the TND as an appropriate epidemiologic study design to measure rotavirus vaccine effectiveness in low-income settings.
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Affiliation(s)
- Lauren M Schwartz
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States; Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.
| | - M Elizabeth Halloran
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States; Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, United States; Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States; Center for Inference and Dynamics of Infectious Diseases, Seattle, WA, United States
| | - Ali Rowhani-Rahbar
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States
| | - Kathleen M Neuzil
- Center for Vaccine Development, University of Maryland School of Medicine, Baltimore, MD, United States
| | - John C Victor
- Center for Vaccine Innovation and Access, PATH, Seattle, WA, United States
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207
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Westreich D, Hudgens MG. Invited Commentary: Beware the Test-Negative Design. Am J Epidemiol 2016; 184:354-6. [PMID: 27587722 DOI: 10.1093/aje/kww063] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Accepted: 04/08/2016] [Indexed: 11/13/2022] Open
Abstract
In this issue of the Journal, Sullivan et al. (Am J Epidemiol. 2016;184(5):345-353) carefully examine the theoretical justification for use of the test-negative design, a common observational study design, in assessing the effectiveness of influenza vaccination. Using modern causal inference methods (in particular, directed acyclic graphs), they describe different threats to the validity of inferences drawn about the effect of vaccination from test-negative design studies. These threats include confounding, selection bias, and measurement error in either the exposure or the outcome. While confounding and measurement error are common in observational studies, the potential for selection bias inherent in the test-negative design brings into question the validity of inferences drawn from such studies.
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208
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Fielding JE, Levy A, Chilver MB, Deng YM, Regan AK, Grant KA, Stocks NP, Sullivan SG. Effectiveness of seasonal influenza vaccine in Australia, 2015: An epidemiological, antigenic and phylogenetic assessment. Vaccine 2016; 34:4905-4912. [PMID: 27577556 DOI: 10.1016/j.vaccine.2016.08.067] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2016] [Revised: 06/29/2016] [Accepted: 08/22/2016] [Indexed: 11/28/2022]
Abstract
BACKGROUND A record number of laboratory-confirmed influenza cases were notified in Australia in 2015, during which type A(H3) and type B Victoria and Yamagata lineages co-circulated. We estimated effectiveness of the 2015 inactivated seasonal influenza vaccine against specific virus lineages and clades. METHODS Three sentinel general practitioner networks conduct surveillance for laboratory-confirmed influenza amongst patients presenting with influenza-like illness in Australia. Data from the networks were pooled to estimate vaccine effectiveness (VE) for seasonal trivalent influenza vaccine in Australia in 2015 using the case test-negative study design. RESULTS There were 2443 eligible patients included in the study, of which 857 (35%) were influenza-positive. Thirty-three and 19% of controls and cases respectively were reported as vaccinated. Adjusted VE against all influenza was 54% (95% CI: 42, 63). Antigenic characterisation data suggested good match between vaccine and circulating strains of A(H3); however VE for A(H3) was low at 44% (95% CI: 21, 60). Phylogenetic analysis indicated most circulating viruses were from clade 3C.2a, rather than the clade included in the vaccine (3C.3a). VE point estimates were higher against B/Yamagata lineage influenza (71%; 95% CI: 57, 80) than B/Victoria (42%, 95% CI: 13, 61), and in younger people. CONCLUSIONS Overall seasonal vaccine was protective against influenza infection in Australia in 2015. Higher VE against the B/Yamagata lineage included in the trivalent vaccine suggests that more widespread use of quadrivalent vaccine could have improved overall effectiveness of influenza vaccine. Genetic characterisation suggested lower VE against A(H3) influenza was due to clade mismatch of vaccine and circulating viruses.
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Affiliation(s)
- James E Fielding
- Victorian Infectious Diseases Reference Laboratory, The Doherty Institute, Melbourne, Victoria, Australia; National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australian Capital Territory, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
| | - Avram Levy
- PathWest Laboratory Medicine WA, Perth, Western Australia, Australia; School of Pathology and Laboratory Medicine, University of Western Australia, Perth, Western Australia, Australia
| | - Monique B Chilver
- Discipline of General Practice, University of Adelaide, Adelaide, South Australia, Australia
| | - Yi-Mo Deng
- World Health Organization Collaborating Centre for Reference and Research on Influenza, The Doherty Institute, Melbourne, Victoria, Australia
| | - Annette K Regan
- School of Pathology and Laboratory Medicine, University of Western Australia, Perth, Western Australia, Australia; Communicable Disease Control Directorate, Western Australia Department of Health, Perth, Western Australia, Australia
| | - Kristina A Grant
- Victorian Infectious Diseases Reference Laboratory, The Doherty Institute, Melbourne, Victoria, Australia
| | - Nigel P Stocks
- Discipline of General Practice, University of Adelaide, Adelaide, South Australia, Australia
| | - Sheena G Sullivan
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia; Discipline of General Practice, University of Adelaide, Adelaide, South Australia, Australia; World Health Organization Collaborating Centre for Reference and Research on Influenza, The Doherty Institute, Melbourne, Victoria, Australia; Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, USA
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