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Unrecognised Outbreak: Human parainfluenza virus infections in a pediatric oncology unit. A new diagnostic PCR and virus monitoring system may allow early detection of future outbreaks
Background: Human parainfluenza viruses (HPIVs) are significant causes of both upper and lower respiratory tract infections with type 3 (HPIV3) causing the most severe disease in the immunocompromised cohorts. The objective of this study was to analyse the epidemiological nature of a cluster of cas...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338131/ https://www.ncbi.nlm.nih.gov/pubmed/30687791 http://dx.doi.org/10.12688/wellcomeopenres.14732.1 |
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author | Smielewska, Anna Pearson, Callum Popay, Ashley Roddick, Iain Reacher, Mark Emmott, Edward He, Jenny Thaxter, Rachel Chenery, Carol Goodfellow, Ian Burke, Amos Jalal, Hamid |
author_facet | Smielewska, Anna Pearson, Callum Popay, Ashley Roddick, Iain Reacher, Mark Emmott, Edward He, Jenny Thaxter, Rachel Chenery, Carol Goodfellow, Ian Burke, Amos Jalal, Hamid |
author_sort | Smielewska, Anna |
collection | PubMed |
description | Background: Human parainfluenza viruses (HPIVs) are significant causes of both upper and lower respiratory tract infections with type 3 (HPIV3) causing the most severe disease in the immunocompromised cohorts. The objective of this study was to analyse the epidemiological nature of a cluster of cases of HPIV3 in a pediatric oncology unit of a major teaching hospital. Methods: In order to determine whether the activity observed represented a deviation from the norm, seasonal trends of HPIV3 in the surrounding geographical area as well as on the ward in question were analysed. The genetic link between cases was established by the phylogenetic analysis of the non-coding hypervariable region between the M (Matrix) and F (fusion) genes of HPIV3. The 15 cases involved and 15 unrelated cases were sequenced. Transmission routes were subsequently inferred and visualized using Konstanz Information Miner (KNIME) 3.3.2. Results: Of the 15 cases identified, 14 were attributed to a point source outbreak. Two out of 14 outbreak cases were found to differ by a single mutation A182C. The outbreak strain was also seen in 1 out of 15 unrelated cases, indicating that it was introduced from the community. Transmission modeling was not able to link all the cases and establish a conclusive chain of transmission. No staff were tested during the outbreak period. No deaths occurred as a result of the outbreak. Conclusion: A point source outbreak of HPIV3 was recognized post factum on an oncology pediatric unit in a major teaching hospital. This raised concern about the possibility of a future more serious outbreak. Weaknesses in existing systems were identified and a new dedicated respiratory virus monitoring system introduced. Pediatric oncology units require sophisticated systems for early identification of potentially life-threatening viral outbreaks. |
format | Online Article Text |
id | pubmed-6338131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-63381312019-01-24 Unrecognised Outbreak: Human parainfluenza virus infections in a pediatric oncology unit. A new diagnostic PCR and virus monitoring system may allow early detection of future outbreaks Smielewska, Anna Pearson, Callum Popay, Ashley Roddick, Iain Reacher, Mark Emmott, Edward He, Jenny Thaxter, Rachel Chenery, Carol Goodfellow, Ian Burke, Amos Jalal, Hamid Wellcome Open Res Research Article Background: Human parainfluenza viruses (HPIVs) are significant causes of both upper and lower respiratory tract infections with type 3 (HPIV3) causing the most severe disease in the immunocompromised cohorts. The objective of this study was to analyse the epidemiological nature of a cluster of cases of HPIV3 in a pediatric oncology unit of a major teaching hospital. Methods: In order to determine whether the activity observed represented a deviation from the norm, seasonal trends of HPIV3 in the surrounding geographical area as well as on the ward in question were analysed. The genetic link between cases was established by the phylogenetic analysis of the non-coding hypervariable region between the M (Matrix) and F (fusion) genes of HPIV3. The 15 cases involved and 15 unrelated cases were sequenced. Transmission routes were subsequently inferred and visualized using Konstanz Information Miner (KNIME) 3.3.2. Results: Of the 15 cases identified, 14 were attributed to a point source outbreak. Two out of 14 outbreak cases were found to differ by a single mutation A182C. The outbreak strain was also seen in 1 out of 15 unrelated cases, indicating that it was introduced from the community. Transmission modeling was not able to link all the cases and establish a conclusive chain of transmission. No staff were tested during the outbreak period. No deaths occurred as a result of the outbreak. Conclusion: A point source outbreak of HPIV3 was recognized post factum on an oncology pediatric unit in a major teaching hospital. This raised concern about the possibility of a future more serious outbreak. Weaknesses in existing systems were identified and a new dedicated respiratory virus monitoring system introduced. Pediatric oncology units require sophisticated systems for early identification of potentially life-threatening viral outbreaks. F1000 Research Limited 2018-09-19 /pmc/articles/PMC6338131/ /pubmed/30687791 http://dx.doi.org/10.12688/wellcomeopenres.14732.1 Text en Copyright: © 2018 Smielewska A et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Smielewska, Anna Pearson, Callum Popay, Ashley Roddick, Iain Reacher, Mark Emmott, Edward He, Jenny Thaxter, Rachel Chenery, Carol Goodfellow, Ian Burke, Amos Jalal, Hamid Unrecognised Outbreak: Human parainfluenza virus infections in a pediatric oncology unit. A new diagnostic PCR and virus monitoring system may allow early detection of future outbreaks |
title | Unrecognised Outbreak: Human parainfluenza virus infections in a pediatric oncology unit. A new diagnostic PCR and virus monitoring system may allow early detection of future outbreaks |
title_full | Unrecognised Outbreak: Human parainfluenza virus infections in a pediatric oncology unit. A new diagnostic PCR and virus monitoring system may allow early detection of future outbreaks |
title_fullStr | Unrecognised Outbreak: Human parainfluenza virus infections in a pediatric oncology unit. A new diagnostic PCR and virus monitoring system may allow early detection of future outbreaks |
title_full_unstemmed | Unrecognised Outbreak: Human parainfluenza virus infections in a pediatric oncology unit. A new diagnostic PCR and virus monitoring system may allow early detection of future outbreaks |
title_short | Unrecognised Outbreak: Human parainfluenza virus infections in a pediatric oncology unit. A new diagnostic PCR and virus monitoring system may allow early detection of future outbreaks |
title_sort | unrecognised outbreak: human parainfluenza virus infections in a pediatric oncology unit. a new diagnostic pcr and virus monitoring system may allow early detection of future outbreaks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338131/ https://www.ncbi.nlm.nih.gov/pubmed/30687791 http://dx.doi.org/10.12688/wellcomeopenres.14732.1 |
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