Literature DB >> 28394705

Establishment of a cohort for deep phenotyping of the immune response to influenza vaccination among elderly individuals recruited from the general population.

Manas K Akmatov1,2,3, Peggy Riese4, Marcus May5, Leonhard Jentsch1, Malik W Ahmed1, Damaris Werner1, Anja Rösel1, Megan Tyler5, Kevin Pessler1, Jana Prokein6, Inga Bernemann6, Norman Klopp6, Blair Prochnow4, Stephanie Trittel4, Aravind Tallam1, Thomas Illig6, Christoph Schindler5, Carlos A Guzmán3,4, Frank Pessler1,2,3.   

Abstract

Elderly individuals have the highest burden of disease from influenza infection but also the lowest immune response to influenza vaccination. A better understanding of the host response to influenza vaccination in the elderly is therefore urgently needed. We conducted a biphasic prospective, population-based study from Dec. 2014 to May 2015 (pilot study) and Sept. 2015 to May 2016 (main study). Individuals 65-80 y of age were randomly selected from the residents' registration office in Hannover, Germany, for the pilot (n = 34) and main study (n = 200). The pilot study tested recruitment for study arms featuring 2, 4, or 5 visits/blood draws. The 5-visit (day 0, 1/3, 7, 21, 70 with respect to vaccination) study arm was selected for the main study. Both studies featured vaccination with Fluad™ (Novartis, Italy), a detailed medical history, a physical exam, recording of adverse events, completion of a questionnaire on common infections and an end-of-study questionnaire, and blood samples. Response rates in the pilot and main studies were 3.7% and 4.0%, respectively. Willingness to participate did not differ among the study arms (Fisher's exact test, p = 0.44). In both studies, there were no losses to follow-up. Compliance with study visits, blood sampling and completion of the questionnaires was very high (100%, >97%, 100%, respectively), as were participants' acceptance of and satisfaction with both phases of the study. The low response rates indicate the need for optimized recruitment strategies if the study population is to be representative of the general population. Nonetheless, the complex prospective study design proved to be highly feasible.

Entities:  

Keywords:  Germany; elderly; feasibility; influenza vaccination; nonresponse bias; pilot study; population-based study; response rate; vaccinomics

Mesh:

Substances:

Year:  2017        PMID: 28394705      PMCID: PMC5512809          DOI: 10.1080/21645515.2017.1299300

Source DB:  PubMed          Journal:  Hum Vaccin Immunother        ISSN: 2164-5515            Impact factor:   3.452


  27 in total

1.  Nonresponse research--an underdeveloped field in epidemiology.

Authors:  Andreas Stang
Journal:  Eur J Epidemiol       Date:  2003       Impact factor: 8.082

Review 2.  Antibody response to influenza vaccination in the elderly: a quantitative review.

Authors:  Katherine Goodwin; Cécile Viboud; Lone Simonsen
Journal:  Vaccine       Date:  2005-09-19       Impact factor: 3.641

3.  Commentary: Epidemiologists have debated representativeness for more than 40 years--has the time come to move on?

Authors:  Ellen A Nohr; Jørn Olsen
Journal:  Int J Epidemiol       Date:  2013-08       Impact factor: 7.196

4.  Standard preanalytical coding for biospecimens: review and implementation of the Sample PREanalytical Code (SPREC).

Authors:  Sabine Lehmann; Fiorella Guadagni; Helen Moore; Garry Ashton; Michael Barnes; Erica Benson; Judith Clements; Iren Koppandi; Domenico Coppola; Sara Yasemin Demiroglu; Yvonne DeSouza; Annemieke De Wilde; Jacko Duker; James Eliason; Barbara Glazer; Keith Harding; Jae Pil Jeon; Joseph Kessler; Theresa Kokkat; Umberto Nanni; Kathi Shea; Amy Skubitz; Stella Somiari; Gunnel Tybring; Elaine Gunter; Fotini Betsou
Journal:  Biopreserv Biobank       Date:  2012-08       Impact factor: 2.300

5.  Trivalent inactivated seasonal influenza vaccine effectiveness for the prevention of laboratory-confirmed influenza in a Scottish population 2000 to 2009.

Authors:  C R Simpson; N I Lone; K Kavanagh; L D Ritchie; C Robertson; A Sheikh; J McMenamin
Journal:  Euro Surveill       Date:  2015-02-26

Review 6.  Seasonal influenza vaccines.

Authors:  Anthony E Fiore; Carolyn B Bridges; Nancy J Cox
Journal:  Curr Top Microbiol Immunol       Date:  2009       Impact factor: 4.291

7.  A telephone survey of factors affecting willingness to participate in health research surveys.

Authors:  D C Glass; H L Kelsall; C Slegers; A B Forbes; B Loff; D Zion; L Fritschi
Journal:  BMC Public Health       Date:  2015-10-05       Impact factor: 3.295

8.  Baseline participation in a health examination survey of the population 65 years and older: who is missed and why?

Authors:  Beate Gaertner; Ina Seitz; Judith Fuchs; Markus A Busch; Martin Holzhausen; Peter Martus; Christa Scheidt-Nave
Journal:  BMC Geriatr       Date:  2016-01-19       Impact factor: 3.921

9.  Motivations for (non)participation in population-based health studies among the elderly - comparison of participants and nonparticipants of a prospective study on influenza vaccination.

Authors:  Manas K Akmatov; Leonhard Jentsch; Peggy Riese; Marcus May; Malik W Ahmed; Damaris Werner; Anja Rösel; Jana Prokein; Inga Bernemann; Norman Klopp; Blair Prochnow; Thomas Illig; Christoph Schindler; Carlos A Guzman; Frank Pessler
Journal:  BMC Med Res Methodol       Date:  2017-02-02       Impact factor: 4.615

10.  tranSMART: An Open Source and Community-Driven Informatics and Data Sharing Platform for Clinical and Translational Research.

Authors:  Brian D Athey; Michael Braxenthaler; Magali Haas; Yike Guo
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2013-03-18
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  2 in total

1.  Motivations for (non)participation in population-based health studies among the elderly - comparison of participants and nonparticipants of a prospective study on influenza vaccination.

Authors:  Manas K Akmatov; Leonhard Jentsch; Peggy Riese; Marcus May; Malik W Ahmed; Damaris Werner; Anja Rösel; Jana Prokein; Inga Bernemann; Norman Klopp; Blair Prochnow; Thomas Illig; Christoph Schindler; Carlos A Guzman; Frank Pessler
Journal:  BMC Med Res Methodol       Date:  2017-02-02       Impact factor: 4.615

2.  Development of a Bead-Based Multiplex Assay for the Analysis of the Serological Response against the Six Pathogens HAV, HBV, HCV, CMV, T. gondii, and H. pylori.

Authors:  Angela Filomena; Frank Pessler; Manas K Akmatov; Gérard Krause; Darragh Duffy; Barbara Gärtner; Markus Gerhard; Matthew L Albert; Thomas O Joos; Nicole Schneiderhan-Marra
Journal:  High Throughput       Date:  2017-10-30
  2 in total

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