Cargando…
The contribution of respiratory pathogens to fatal and non-fatal respiratory hospitalizations: a pilot study of Taqman Array Cards (TAC) in Kenya
BACKGROUND: Respiratory diseases cause substantial morbidity and mortality worldwide, with sub-Saharan Africa bearing the greatest burden. Identifying etiologies of respiratory disease is important to inform cost effective treatment, prevention and control strategies. Testing for all of the differen...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5574104/ https://www.ncbi.nlm.nih.gov/pubmed/28841843 http://dx.doi.org/10.1186/s12879-017-2694-0 |
_version_ | 1783259771768406016 |
---|---|
author | Njuguna, Henry N. Chaves, Sandra S. Emukule, Gideon O. Nyawanda, Bryan Omballa, Victor Juma, Bonventure Onyango, Clayton O. Mott, Joshua A. Fields, Barry |
author_facet | Njuguna, Henry N. Chaves, Sandra S. Emukule, Gideon O. Nyawanda, Bryan Omballa, Victor Juma, Bonventure Onyango, Clayton O. Mott, Joshua A. Fields, Barry |
author_sort | Njuguna, Henry N. |
collection | PubMed |
description | BACKGROUND: Respiratory diseases cause substantial morbidity and mortality worldwide, with sub-Saharan Africa bearing the greatest burden. Identifying etiologies of respiratory disease is important to inform cost effective treatment, prevention and control strategies. Testing for all of the different pathogens that are potentially associated with respiratory illnesses is challenging. We piloted the use of a multi-pathogen respiratory Taqman Array Cards (TAC) to identify pathogens in respiratory samples collected from non-fatal and fatal cases and their matched asymptomatic controls. METHODS: This is a case control study comparing viral and bacterial pathogens detected among non-fatal and fatal cases to those detected among age and time matched asymptomatic controls. We used McNemar’s test to compare proportions of pathogens detected among cases (non-fatal and fatal) to their matched asymptomatic controls. We used Mann-Whitney test to compare the distribution of median Cycle threshold (Ct) values among non-fatal and fatal cases to their corresponding asymptomatic controls. RESULTS: There were 72 fatal and 72 non-fatal cases matched to 72 controls. We identified at least one pathogen in 109/144 (76%) cases and 59/72 (82%) controls. For most pathogens, the median Ct values were lower among cases (fatal and non-fatal) compared to asymptomatic controls. CONCLUSIONS: Similar rates of pathogen detection among cases and controls make interpretation of results challenging. Ct-values might be helpful in interpreting clinical relevance of detected pathogens using multi-pathogen diagnostic tools. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-017-2694-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5574104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55741042017-08-30 The contribution of respiratory pathogens to fatal and non-fatal respiratory hospitalizations: a pilot study of Taqman Array Cards (TAC) in Kenya Njuguna, Henry N. Chaves, Sandra S. Emukule, Gideon O. Nyawanda, Bryan Omballa, Victor Juma, Bonventure Onyango, Clayton O. Mott, Joshua A. Fields, Barry BMC Infect Dis Research Article BACKGROUND: Respiratory diseases cause substantial morbidity and mortality worldwide, with sub-Saharan Africa bearing the greatest burden. Identifying etiologies of respiratory disease is important to inform cost effective treatment, prevention and control strategies. Testing for all of the different pathogens that are potentially associated with respiratory illnesses is challenging. We piloted the use of a multi-pathogen respiratory Taqman Array Cards (TAC) to identify pathogens in respiratory samples collected from non-fatal and fatal cases and their matched asymptomatic controls. METHODS: This is a case control study comparing viral and bacterial pathogens detected among non-fatal and fatal cases to those detected among age and time matched asymptomatic controls. We used McNemar’s test to compare proportions of pathogens detected among cases (non-fatal and fatal) to their matched asymptomatic controls. We used Mann-Whitney test to compare the distribution of median Cycle threshold (Ct) values among non-fatal and fatal cases to their corresponding asymptomatic controls. RESULTS: There were 72 fatal and 72 non-fatal cases matched to 72 controls. We identified at least one pathogen in 109/144 (76%) cases and 59/72 (82%) controls. For most pathogens, the median Ct values were lower among cases (fatal and non-fatal) compared to asymptomatic controls. CONCLUSIONS: Similar rates of pathogen detection among cases and controls make interpretation of results challenging. Ct-values might be helpful in interpreting clinical relevance of detected pathogens using multi-pathogen diagnostic tools. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-017-2694-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-08-25 /pmc/articles/PMC5574104/ /pubmed/28841843 http://dx.doi.org/10.1186/s12879-017-2694-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Njuguna, Henry N. Chaves, Sandra S. Emukule, Gideon O. Nyawanda, Bryan Omballa, Victor Juma, Bonventure Onyango, Clayton O. Mott, Joshua A. Fields, Barry The contribution of respiratory pathogens to fatal and non-fatal respiratory hospitalizations: a pilot study of Taqman Array Cards (TAC) in Kenya |
title | The contribution of respiratory pathogens to fatal and non-fatal respiratory hospitalizations: a pilot study of Taqman Array Cards (TAC) in Kenya |
title_full | The contribution of respiratory pathogens to fatal and non-fatal respiratory hospitalizations: a pilot study of Taqman Array Cards (TAC) in Kenya |
title_fullStr | The contribution of respiratory pathogens to fatal and non-fatal respiratory hospitalizations: a pilot study of Taqman Array Cards (TAC) in Kenya |
title_full_unstemmed | The contribution of respiratory pathogens to fatal and non-fatal respiratory hospitalizations: a pilot study of Taqman Array Cards (TAC) in Kenya |
title_short | The contribution of respiratory pathogens to fatal and non-fatal respiratory hospitalizations: a pilot study of Taqman Array Cards (TAC) in Kenya |
title_sort | contribution of respiratory pathogens to fatal and non-fatal respiratory hospitalizations: a pilot study of taqman array cards (tac) in kenya |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5574104/ https://www.ncbi.nlm.nih.gov/pubmed/28841843 http://dx.doi.org/10.1186/s12879-017-2694-0 |
work_keys_str_mv | AT njugunahenryn thecontributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya AT chavessandras thecontributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya AT emukulegideono thecontributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya AT nyawandabryan thecontributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya AT omballavictor thecontributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya AT jumabonventure thecontributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya AT onyangoclaytono thecontributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya AT mottjoshuaa thecontributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya AT fieldsbarry thecontributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya AT njugunahenryn contributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya AT chavessandras contributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya AT emukulegideono contributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya AT nyawandabryan contributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya AT omballavictor contributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya AT jumabonventure contributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya AT onyangoclaytono contributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya AT mottjoshuaa contributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya AT fieldsbarry contributionofrespiratorypathogenstofatalandnonfatalrespiratoryhospitalizationsapilotstudyoftaqmanarraycardstacinkenya |