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Defining the interval for monitoring potential adverse events following immunization (AEFIs) after receipt of live viral vectored vaccines
Live viral vectors that express heterologous antigens of the target pathogen are being investigated in the development of novel vaccines against serious infectious agents like HIV and Ebola. As some live recombinant vectored vaccines may be replication-competent, a key challenge is defining the leng...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6535369/ https://www.ncbi.nlm.nih.gov/pubmed/30497831 http://dx.doi.org/10.1016/j.vaccine.2018.08.085 |
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author | Kochhar, Sonali Excler, Jean-Louis Bok, Karin Gurwith, Marc McNeil, Michael M. Seligman, Stephen J. Khuri-Bulos, Najwa Klug, Bettina Laderoute, Marian Robertson, James S. Singh, Vidisha Chen, Robert T. |
author_facet | Kochhar, Sonali Excler, Jean-Louis Bok, Karin Gurwith, Marc McNeil, Michael M. Seligman, Stephen J. Khuri-Bulos, Najwa Klug, Bettina Laderoute, Marian Robertson, James S. Singh, Vidisha Chen, Robert T. |
author_sort | Kochhar, Sonali |
collection | PubMed |
description | Live viral vectors that express heterologous antigens of the target pathogen are being investigated in the development of novel vaccines against serious infectious agents like HIV and Ebola. As some live recombinant vectored vaccines may be replication-competent, a key challenge is defining the length of time for monitoring potential adverse events following immunization (AEFI) in clinical trials and epidemiologic studies. This time period must be chosen with care and based on considerations of pre-clinical and clinical trials data, biological plausibility and practical feasibility. The available options include: (1) adapting from the current relevant regulatory guidelines; (2) convening a panel of experts to review the evidence from a systematic literature search to narrow down a list of likely potential or known AEFI and establish the optimal risk window(s); and (3) conducting “near real-time“ prospective monitoring for unknown clustering’s of AEFI in validated large linked vaccine safety databases using Rapid Cycle Analysis for pre-specified adverse events of special interest (AESI) and Treescan to identify previously unsuspected outcomes. The risk window established by any of these options could be used along with (4) establishing a registry of clinically validated pre-specified AESI to include in case-control studies. Depending on the infrastructure, human resources and databases available in different countries, the appropriate option or combination of options can be determined by regulatory agencies and investigators. |
format | Online Article Text |
id | pubmed-6535369 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65353692019-09-10 Defining the interval for monitoring potential adverse events following immunization (AEFIs) after receipt of live viral vectored vaccines Kochhar, Sonali Excler, Jean-Louis Bok, Karin Gurwith, Marc McNeil, Michael M. Seligman, Stephen J. Khuri-Bulos, Najwa Klug, Bettina Laderoute, Marian Robertson, James S. Singh, Vidisha Chen, Robert T. Vaccine Article Live viral vectors that express heterologous antigens of the target pathogen are being investigated in the development of novel vaccines against serious infectious agents like HIV and Ebola. As some live recombinant vectored vaccines may be replication-competent, a key challenge is defining the length of time for monitoring potential adverse events following immunization (AEFI) in clinical trials and epidemiologic studies. This time period must be chosen with care and based on considerations of pre-clinical and clinical trials data, biological plausibility and practical feasibility. The available options include: (1) adapting from the current relevant regulatory guidelines; (2) convening a panel of experts to review the evidence from a systematic literature search to narrow down a list of likely potential or known AEFI and establish the optimal risk window(s); and (3) conducting “near real-time“ prospective monitoring for unknown clustering’s of AEFI in validated large linked vaccine safety databases using Rapid Cycle Analysis for pre-specified adverse events of special interest (AESI) and Treescan to identify previously unsuspected outcomes. The risk window established by any of these options could be used along with (4) establishing a registry of clinically validated pre-specified AESI to include in case-control studies. Depending on the infrastructure, human resources and databases available in different countries, the appropriate option or combination of options can be determined by regulatory agencies and investigators. The Authors. Published by Elsevier Ltd. 2019-09-10 2018-11-26 /pmc/articles/PMC6535369/ /pubmed/30497831 http://dx.doi.org/10.1016/j.vaccine.2018.08.085 Text en © 2018 The Authors. Published by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Kochhar, Sonali Excler, Jean-Louis Bok, Karin Gurwith, Marc McNeil, Michael M. Seligman, Stephen J. Khuri-Bulos, Najwa Klug, Bettina Laderoute, Marian Robertson, James S. Singh, Vidisha Chen, Robert T. Defining the interval for monitoring potential adverse events following immunization (AEFIs) after receipt of live viral vectored vaccines |
title | Defining the interval for monitoring potential adverse events following immunization (AEFIs) after receipt of live viral vectored vaccines |
title_full | Defining the interval for monitoring potential adverse events following immunization (AEFIs) after receipt of live viral vectored vaccines |
title_fullStr | Defining the interval for monitoring potential adverse events following immunization (AEFIs) after receipt of live viral vectored vaccines |
title_full_unstemmed | Defining the interval for monitoring potential adverse events following immunization (AEFIs) after receipt of live viral vectored vaccines |
title_short | Defining the interval for monitoring potential adverse events following immunization (AEFIs) after receipt of live viral vectored vaccines |
title_sort | defining the interval for monitoring potential adverse events following immunization (aefis) after receipt of live viral vectored vaccines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6535369/ https://www.ncbi.nlm.nih.gov/pubmed/30497831 http://dx.doi.org/10.1016/j.vaccine.2018.08.085 |
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