Breath can discriminate tuberculosis from other lower respiratory illness in children
Abstract Pediatric tuberculosis (TB) remains a global health crisis. Despite progress, pediatric patients remain difficult to diagnose, with approximately half of all childhood TB patients lacking bacterial confirmation. In this pilot study (n = 31), we identify a 4-compound breathprint and subseque...
Guardado en:
| Autores principales: | , , , , , , , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2021
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/e72d96a73bd144cfbc62d4a56b16a721 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:e72d96a73bd144cfbc62d4a56b16a721 |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:e72d96a73bd144cfbc62d4a56b16a7212021-12-02T10:44:15ZBreath can discriminate tuberculosis from other lower respiratory illness in children10.1038/s41598-021-80970-w2045-2322https://doaj.org/article/e72d96a73bd144cfbc62d4a56b16a7212021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-80970-whttps://doaj.org/toc/2045-2322Abstract Pediatric tuberculosis (TB) remains a global health crisis. Despite progress, pediatric patients remain difficult to diagnose, with approximately half of all childhood TB patients lacking bacterial confirmation. In this pilot study (n = 31), we identify a 4-compound breathprint and subsequent machine learning model that accurately classifies children with confirmed TB (n = 10) from children with another lower respiratory tract infection (LRTI) (n = 10) with a sensitivity of 80% and specificity of 100% observed across cross validation folds. Importantly, we demonstrate that the breathprint identified an additional nine of eleven patients who had unconfirmed clinical TB and whose symptoms improved while treated for TB. While more work is necessary to validate the utility of using patient breath to diagnose pediatric TB, it shows promise as a triage instrument or paired as part of an aggregate diagnostic scheme.Carly A. BobakLili KangLesley WorkmanLindy BatemanMohammad S. KhanMargaretha PrinsLloyd MayFlavio A. FranchinaCynthia BaardMark P. NicolHeather J. ZarJane E. HillNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Medicine R Science Q |
| spellingShingle |
Medicine R Science Q Carly A. Bobak Lili Kang Lesley Workman Lindy Bateman Mohammad S. Khan Margaretha Prins Lloyd May Flavio A. Franchina Cynthia Baard Mark P. Nicol Heather J. Zar Jane E. Hill Breath can discriminate tuberculosis from other lower respiratory illness in children |
| description |
Abstract Pediatric tuberculosis (TB) remains a global health crisis. Despite progress, pediatric patients remain difficult to diagnose, with approximately half of all childhood TB patients lacking bacterial confirmation. In this pilot study (n = 31), we identify a 4-compound breathprint and subsequent machine learning model that accurately classifies children with confirmed TB (n = 10) from children with another lower respiratory tract infection (LRTI) (n = 10) with a sensitivity of 80% and specificity of 100% observed across cross validation folds. Importantly, we demonstrate that the breathprint identified an additional nine of eleven patients who had unconfirmed clinical TB and whose symptoms improved while treated for TB. While more work is necessary to validate the utility of using patient breath to diagnose pediatric TB, it shows promise as a triage instrument or paired as part of an aggregate diagnostic scheme. |
| format |
article |
| author |
Carly A. Bobak Lili Kang Lesley Workman Lindy Bateman Mohammad S. Khan Margaretha Prins Lloyd May Flavio A. Franchina Cynthia Baard Mark P. Nicol Heather J. Zar Jane E. Hill |
| author_facet |
Carly A. Bobak Lili Kang Lesley Workman Lindy Bateman Mohammad S. Khan Margaretha Prins Lloyd May Flavio A. Franchina Cynthia Baard Mark P. Nicol Heather J. Zar Jane E. Hill |
| author_sort |
Carly A. Bobak |
| title |
Breath can discriminate tuberculosis from other lower respiratory illness in children |
| title_short |
Breath can discriminate tuberculosis from other lower respiratory illness in children |
| title_full |
Breath can discriminate tuberculosis from other lower respiratory illness in children |
| title_fullStr |
Breath can discriminate tuberculosis from other lower respiratory illness in children |
| title_full_unstemmed |
Breath can discriminate tuberculosis from other lower respiratory illness in children |
| title_sort |
breath can discriminate tuberculosis from other lower respiratory illness in children |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/e72d96a73bd144cfbc62d4a56b16a721 |
| work_keys_str_mv |
AT carlyabobak breathcandiscriminatetuberculosisfromotherlowerrespiratoryillnessinchildren AT lilikang breathcandiscriminatetuberculosisfromotherlowerrespiratoryillnessinchildren AT lesleyworkman breathcandiscriminatetuberculosisfromotherlowerrespiratoryillnessinchildren AT lindybateman breathcandiscriminatetuberculosisfromotherlowerrespiratoryillnessinchildren AT mohammadskhan breathcandiscriminatetuberculosisfromotherlowerrespiratoryillnessinchildren AT margarethaprins breathcandiscriminatetuberculosisfromotherlowerrespiratoryillnessinchildren AT lloydmay breathcandiscriminatetuberculosisfromotherlowerrespiratoryillnessinchildren AT flavioafranchina breathcandiscriminatetuberculosisfromotherlowerrespiratoryillnessinchildren AT cynthiabaard breathcandiscriminatetuberculosisfromotherlowerrespiratoryillnessinchildren AT markpnicol breathcandiscriminatetuberculosisfromotherlowerrespiratoryillnessinchildren AT heatherjzar breathcandiscriminatetuberculosisfromotherlowerrespiratoryillnessinchildren AT janeehill breathcandiscriminatetuberculosisfromotherlowerrespiratoryillnessinchildren |
| _version_ |
1718396797823483904 |